How States Access and Deploy Data to Improve SUD Prevention, Treatment, and Recovery
/in Policy Behavioral/Mental Health and SUD, Chronic and Complex Populations, Cost, Payment, and Delivery Reform, Medicaid Managed Care, Medicaid Managed Care, Physical and Behavioral Health Integration, Quality and Measurement /by Kitty Purington and Jodi ManzAs state policymakers confront the substance use disorder (SUD) epidemic, they require a wide range of data – often found in disparate systems – to understand its impact and craft more effective treatment programs and interventions. This report explores best practices and sources for data gathering and describes how states can help communities access and use data to support local efforts.
Introduction
The nation’s substance use disorder (SUD) epidemic poses unique challenges for policymakers working to understand and apply data – which often exists in disparate systems – to guide their treatment and interventions. States, localities, and organizations need to access and generate reliable data, not just in health and behavioral health care, but in workforce, criminal justice, social services, and other systems to design successful SUD interventions.
Many data sets produced by state and federal agencies have value when used individually, but when data can be shared and presented in new ways, it begins to tell a more comprehensive story of the particular and highly localized impact of SUD across systems and populations.
This report describes the uses and limitations of commonly available data sets that can stand alone or be used in conjunction with other data to answer common questions posed by state and local leaders. The report reviews common data sources that can help state leaders address key issues, such as preventing SUD and diversion of controlled substances, supporting harm reduction, increasing treatment capacity and service delivery, and understanding the needs of vulnerable populations. The report also highlights best practices at the state level, and notes where state strategies can also assist communities in accessing and using data to support local efforts.
The State SUD Data Landscape
Policymakers have access to data sets that are collected, compiled, analyzed, and maintained by state and federal agencies and other entities responsible for providing or overseeing services related to the prevention, reduction, or treatment of SUD. The following highlights data sets that are commonly used by state policymakers in their efforts to analyze key SUD indicators.
Individual claims and administrative and programmatic data collected by states: Individual-level data sets that tie to the unique experiences of one person through a system can help illuminate the ways that individuals and populations seek and use services. This data is often personally identifiable, which requires either consent, legally authorized use, or systematic anonymization that removes identifying characteristics.
| Data | Ownership/Maintenance | Content |
| Medicaid claims and encounter data | State Medicaid agency
Medicaid managed care organization |
· Patient demographic data
· Diagnostic/service codes · Service utilization data |
| Prescription drug monitoring programs (PDMPs) | State licensing boards, public health agencies, or free-standing PDMP agency | Patient and prescriber data related to scheduled prescription drugs |
| Vital statistics, forensic epidemiology, or medical examiner/coroner reports | State public health or vital statistics agencies | · Deceased demographic data
· International Classification of Diseases 9-10 codes identifying causes of death · Toxicology reports |
| Homeless management information systems | State housing or social service agencies | Housing program services and client data, including self-reported diagnoses |
| Infectious disease data | State public health agencies | Surveillance data on hepatitis B/C and HIV infections |
| Behavioral health services data | State behavioral health agencies | · Non-Medicaid-funded services for SUD delivered by community behavioral health systems or state hospitals
· Provider licensure information |
| Emergency medical systems data | State public health agencies | Overdose response data, including naloxone deployment |
| Hospital admissions and discharge data | State public health agencies | Overdoses treated in hospital settings and/or discharges coded as overdose-related |
| Corrections | State and local corrections agencies | Health and behavioral health assessment and treatment data for incarcerated individuals |
De-identified state/federal data sets available to researchers, organizations, and the public: Aggregate data sets can also be helpful to understand system interactions and population trends. These kinds of data are valuable in gauging systemwide behaviors as well as shifts in services, demographics, or activities that indicate the needs of a given region or population.
| Data Set | Ownership/Maintenance | Content |
| All-payer claims databases (APCD) | Independent state or quasi-governmental organizations | Insurance claims from across payer sources |
| Behavioral Risk Factor Surveillance System (BRFSS) | Centers for Disease Control and Prevention (CDC) | Self-reported health risk factor and health condition data |
| Census data | US Census Bureau | Self-reported demographic data |
| National Overdose Report | CDC | Overdose deaths by demographics, states/regions, and substances present |
| Annual HIV Surveillance Report | CDC | HIV infections by demographics, states/regions, and transmission factors |
| National Survey on Drug use and Health (NDSUH) | Substance Abuse and Mental Health Services Administration (SAMHSA) | Self-reported substance use, mental health, and treatment services by demographics and state/region |
SUD Data Use Cases for State and Community Leaders
The following data use cases and strategies describe how available data can be used, often in innovative ways, to inform and guide state and local policy decisions.
Limit Diversion and Promoting Prevention Use Cases
Prescription opioids are often described as the substances behind the “first wave” of an overdose epidemic that has evolved to now be driven by illicit forms of opioids, such as heroin and fentanyl. In one study, over 80 percent of current heroin users reported that their first experiences with opioids involved diverted prescription pills, suggesting that policy interventions to reduce this diversion should be among state and local leaders’ top priorities. Analyzing available data can help to structure strategies that limit opioid diversion and prevent inappropriate prescribing.
Identify risky prescribing: Forty-nine states and Washington, DC support Prescription Drug Monitoring Programs (PDMPs) that contain prescriber, dispenser, and patient-level data about controlled substances. Policymakers can use PDMP data to develop baselines that help show geographic and individual prescriber averages, as well as aberrations in prescribing and dispensing patterns. Pennsylvania maintains public-facing aggregate PDMP data that can be searched at the county level for a range of measures that indicate risky prescribing patterns, such as:
- Number/rate of individuals seeing five-plus prescribers and five-plus dispensers;
- Number/rate of individuals seeing four-plus prescribers and four-plus dispensers;
- Number/rate of individuals seeing three-plus prescribers and three-plus dispensers;
- Morphine milligram equivalents (MMEs);
- Number/rate of individuals with an average daily MME of more than 50, 90 or 120;
- Number/rate of individuals with overlapping opioid/benzodiazepine prescriptions; and
- Number/rate of individuals with more than 30 days of overlapping opioid/benzodiazepine prescriptions.
Similarly, Illinois tracks a “high-risk patient” population using data from its PDMP to better understand trends among individuals who have been:
- Prescribed both opioids and benzodiazepines;
- Individuals prescribed greater than 90 MME; and
- By number of total prescriptions.
Refine prescribing guidelines: States have significant leverage to implement opioid prescribing guidelines in their Medicaid programs and can then use this claims data to support these interventions. Using PDMP and Medicaid service utilization data, state Medicaid agencies can enact and support policies that reduce opioid prescribing and incentivize non-narcotic pain management. Policymakers in Virginia reviewed both opioid and non-opioid prescribing claims in Medicaid, and found the data suggested opioid prescriptions were the default for pain management. Working with stakeholders, including managed care pharmacy directors, the state removed prior authorization for non-opioid pain management and implemented limitations on opioid prescribing among Medicaid providers. Other states, including Ohio, have similarly used PDMP data to track and manage opioid prescribing limits that reduce the availability of pills for potential diversion. Ohio experienced a 41 percent decrease in opioid doses and a 37 percent decrease in prescriptions between 2012 and 2018 as a result of adopting these kinds of regulations.
Understand substance use trends: Massachusetts analyzed death records, state toxicology reports, and prescribing data from its PDMP to better understand substances involved in the state’s overdose deaths. Matching and analyzing these data sets revealed that people dying from overdose were much more likely to have an illegal substance in their system at the time of death, which resulted in a state review of its harm reduction strategy. The report noted that “(a)s a result of these findings, increasing the availability of harm reduction strategies and interventions that target heroin, fentanyl, and polysubstance use (especially benzodiazepine and cocaine use) could significantly reduce the opioid-related death rate.”
Preventing Overdose and SUD-Related Comorbidities Use Cases
Harm reduction interventions can lower the likelihood of both overdose and infectious disease by engaging individuals in active use to mitigate their risks. State-level data sets can help illuminate state- and community-specific needs related to reducing harm from opioid use, and can identify areas for policy intervention that can both improve outcomes for people using drugs and avoid costs related to chronic, comorbid illnesses.
Target resources where most needed: Targeted deployment of key harm reduction resources, such as naloxone, can be difficult to pinpoint:
- Lay use of naloxone goes unreported, and
- Emergency medical services (EMS) may use multiple doses for one overdose or may use naloxone when overdose is suspected but not present.
Wisconsin took a comprehensive approach in its harm reduction analysis. Policymakers analyzed four indicators across the state to identify areas of greatest need of harm reduction interventions: Incidents of opioid overdose deaths;
- Opioid overdose hospitalizations;
- Suspected opioid overdose ambulance runs; and
- Newly reported cases of hepatitis C in people age 15 to 29.
The state then used data on available resources, such as syringe services programs, naloxone availability at pharmacies through a standing order, medication-assisted treatment, HIV prevention, hepatitis C treatment, and SUD treatment providers to identify areas experiencing acute gaps in harm reduction resources.
To further support harm reduction efforts, Wisconsin also tracks suspected overdose deaths on a monthly basis, enabling the state to provide more timely and actionable data to state and local officials. The state reviews 911 ambulance runs and uses word searches in free-text fields to identify additional details. Data is presented as unconfirmed.
Push out actionable data to clinicians to treat common comorbidities: The Louisiana Public Health Information Exchange (LaPHIE) was first implemented in 2008 as a partnership between its Office of Public Health and Louisiana State University Health Care Services Division. The OPH maintains comprehensive HIV surveillance data that is updated daily through lab reporting. If a patient enters a participating hospital and a provider opens that patient’s electronic medical record to provide services, the provider will be notified if the patient has not received timely HIV care and prompted to take appropriate action. LaPHIE is bi-directional, any action taken by the provider with respect to the patient, whether it be a referral or a link back into care, is incorporated into the patient’s electronic medical record (EMR) and returned to the OPH, which then updates the state’s HIV surveillance data.
Identify critical intervention points: Several states have used comprehensive, cross-agency strategies to identify patterns and opportunities for intervention, and the Delaware Drug Overdose Mortality Surveillance report is one such example. This report uses data to illuminate the experiences of individuals in the months prior to their deaths and includes information from a broad scope of data sets, including hospital and health system interactions (including EMS and emergency department visits for overdoses), corrections engagement, and interface with the behavioral health system. By looking at non-fatal overdoses and interactions with EMS, officials can understand the systemic interplay and individual experiences of individuals who fatally overdose in order to better target opportunities for intervention, including treatment in emergency departments.
Similarly, in Massachusetts, the state linked ambulance data with state hospital data to identify individuals who had experienced a non-fatal overdose. By leveraging access to data afforded by the state’s opioid data-sharing initiative, Chapter 55, analysts were able to:
- Link information about this subset of individuals to other state data systems;
- Identify individuals’ prescription drug patterns through the state PDMP;
- Chart their contact with the health care and behavioral health systems through the state’s APCD; and
- Document their involvement with corrections.
The state used this information to identify opportunities for intervention and outreach on SUD treatment. A similar data exercise in West Virginia identified that 81percent of those who died from overdoses had interacted with at least one of the state’s health care systems.
Improving Treatment and Recovery Supports Data Use Cases
Ensuring an adequate treatment infrastructure is a high priority as states work to develop access to evidence-based services in the face of this epidemic. By investigating the current treatment landscape in a given state or region, policymakers can analyze unmet need and address gaps in care. Understanding the actual inventory of existing treatment providers through various data sources can help states develop gap analyses and understand workforce needs.
Quantify and optimize current capacity: The Substance Abuse and Mental Health Services Administration (SAMHSA) established a public list of buprenorphine-waivered providers by state and a list of opioid treatment programs (OTP) that provide methadone, also searchable by state. These are helpful starting points when assessing state and local needs, but can be misleading as only a small percentage of waivered providers deliver care to the full extent enabled by the waiver process, and providers can choose to opt out of the listing. Policymakers can compare state-level claims data (Medicaid, APCD) to identify waivered providers who are not providing treatment or maximizing waiver treatment capacity limits. Through this additional step in analysis, state and local policymakers can drill down to better understand which providers may need support in engaging in the medication for opioid use disorder (OUD) provision. Referring these prescribers to tools such as the SAMHSA Provider Clinical Support System can provide additional tools and supports for those providers who are reluctant to maximize their capacity.
Indiana used state workforce survey data to identify which regions of the state lacked a sufficient amount of SUD treatment providers. The Indiana State Department of Health was one of several funders that supported the development of a user-friendly Health Workforce Information Portal that allows members of the public to create maps and reports to review both current workforce and educational pipelines for emerging professionals. Based on survey data, state, county, and local leaders could identify the number of full-time equivalents across areas of the state for a range of professionals, including psychiatrists, clinical social workers, and addiction counselors.
Understand cost and utilization patterns within Medicaid: Looking at existing cost drivers of SUD in Medicaid claims and encounter data within a state’s Medicaid Management Information System (MMIS) can be a helpful starting point for states seeking opportunities to both reduce costs and realign reimbursement structures with service needs. Creating service delivery systems that prioritize a continuum of care in which services can be provided in community clinical settings presents an opportunity for Medicaid programs to reduce costs. In order to better coordinate care and potentially realize cost savings, states can use their Medicaid cost data to develop a range of options that support behavioral and physical health integration and promote team-based care. Virginia’s Addiction and Recovery Treatment Services (ARTS) waiver aligned SUD services to the American Society of Addiction Medicine’s (ASAM) criteria, and encouraged those services to be provided in primary care settings and office-based outpatient treatment facilities. In doing so, Virginia Medicaid experienced a 32 percent reduction in emergency department visits related to OUD during the second year of the program.
Support real-time access to treatment: In addition to the SAMHSA provider locator mentioned above, states can use self-reported provider data to maintain their own state-level treatment locators, and those can include a range of filters to identify particular information, similar to the tool developed by Kentucky using federal grant funding. Through a diverse partnership, the Kentucky Department for Public Health (via the Kentucky Injury Prevention and Research Center) engaged with the Kentucky Office of Drug Control Policy, the Kentucky Department for Behavioral Health, Intellectual, and Developmental Disabilities, and Operation Unite to pull together provider data and develop a short screening that could connect the user to an available treatment provider. Providers have the necessary access and ability to update their facilities’ information daily, and are encouraged to do so. Some states are also employing “bed registries,” tools that track availability of inpatient hospital services, many of which are specific to detox and/or treatment and may serve to help providers in accessing real-time data about available treatment space.
Data Use Cases for At-risk and Underserved Populations
States can also analyze Medicaid service utilization data for specific populations or eligibility categories in order to tailor policy approaches to support vulnerable or underserved populations.
Racial and ethnic disparities: West Virginia, Minnesota, and other states that have analyzed overdose deaths through a racial/ethnic disparity lens have found higher rates of death from overdose among these populations. Minnesota released data analysis focused on the racial disparities it found by reviewing state death certificates and coroners’ reports. The state concluded that the overall low drug mortality rate masked significant racial disparities: Blacks were twiingce as likely to die from a drug overdose than Whites and American Indians were almost six-times more likely to die of a drug overdose than Whites. While drug overdose mortality rates increased for all groups, racial disparities in overdose mortality also increased.
Pregnant women: Through collaborative efforts across state and private agencies, West Virginia identified and addressed a surge in neonatal abstinence syndrome (NAS) and developed a programmatic response. The effort began by standardizing definitions for neonatal withdrawal and providing guidance to clinicians explaining how to use and track diagnostic criteria. The data informed the development of DrugFree Moms and Babies, a program that provides early intervention, treatment, and recovery supports to women and their newborns. The program has improved identification of families at risk and created a structure to support them.
Individuals with corrections involvement: The SUD crisis has highlighted the need for cross-system collaboration between health, behavioral health, and criminal justice systems. A 2017 Special Report from the Bureau of Justice Statistics detailed substance use patterns among individuals incarcerated in state prisons and jails between 2007-2009 and indicated that more than half of incarcerated individuals meet criteria for SUD. Kentucky’s Office of Drug Control Policy, in conjunction with the Kentucky Agency for Substance Abuse Policy, publishes a combined annual report that helps policy makers drill down to specific trends or patterns in charges that may indicate SUD, which can then be used to target the development of incarceration-based treatment programs and pre-arrest diversion programs such as the Law Enforcement Assisted Diversion (LEAD) initiative in Louisville. In Massachusetts, the state Department of Corrections and county-level corrections agencies provided a complete list of people who had been released during one analysis period. The state found that people recently released from corrections facilities were 56-times more likely to die of an opioid overdose than the general public. Moreover, data indicated that those who had received treatment while incarcerated did not have a significant reduction in their risk of overdose. The analysis noted that additional attention should be paid to be individuals leaving corrections facilities, and that treatment should be standardized, regardless of setting.
Individuals without stable housing: Data on housing and homelessness is collected and maintained in Homeless Management Information Systems (HMIS) and can often be accessed directly from the Communities of Care (CoC) that operate regionally to provide a host of services that support housing. CoCs collect and report both housing inventory count (HIC) and point-in-time (PIT) counts of individuals who are homeless, information that can also be accessed at the CoC and state levels through the federal Housing and Urban Development Exchange website. Matching HMIS data with Medicaid utilization data through a state’s MMIS can provide opportunities to develop specific interventions for individuals who are homeless and have received services related to SUD. In Connecticut, the state matched HMIS and Medicaid data and identified a subset of Medicaid enrollees with complex and high-cost health care needs. The state used this data to develop program strategies to better support these individuals, and has since documented improved housing retention, decreased use of emergency departments, and improved connection to preventative services.
Supporting recovery: States are increasingly building peer supports into the continuum of care for SUD. While definitions and services provided vary, 39 states currently reimburse for peers in some capacity through their state Medicaid programs. North Carolina, in addition to tracking access data such as buprenorphine prescriptions and enrollment in opioid treatment programs, also includes access to peer recovery as a key metric on that state’s opioid dashboard. The state has demonstrated a significant increase in the number of certified peer support providers in the state, and provides the data by county.
Best Practices in Using Data to Support State and Local Policy Development
Comprehensive data – often gathered from across state, local, and federal resources – enables state and local leaders to tailor their prevention, treatment, and recovery responses and make the most of scarce resources. However, effectively using available data, matching or comparing complementary data sets, and identifying what should be the focus of analyses can be complicated. The following are key considerations for states seeking to improve data quality, explore data-sharing opportunities, and analyze existing data sets across systems.
Leadership is critical: Sharing data across state silos is challenging – many agencies generally prefer not to release data. Encouraging the sharing of health care and related data sets requires unifying leadership and a vision that can maintain momentum through many programmatic, legal, and technical hurdles. In some states, such as Pennsylvania, the governor used a disaster declaration to bring agencies to the table to create and sustain that state’s multi-agency data capacity. Other states, such as Massachusetts, made significant progress in cross-agency data sharing through legislation. That state’s Chapter 55 public law, passed in 2015, provided the impetus and structure needed for that state’s many SUD data innovations.
Engage both technical and policy expertise to make the most of existing data: While technical expertise in essential, policy and programmatic expertise is also a critical factor in successfully using data to support SUD prevention, treatment, and recovery. Data insights help state policymakers understand and explain variances in eligibility groups, interactions between specialty programs, and flag anomalies in the data due to program idiosyncrasies. Data also helps guide analysts in shaping metrics that will have value for policy decision-making.
Allow time and resources to address data governance: How substance use data is stored and shared is covered by both the Health Insurance Portability and Accountability Act (HIPAA) and 42 CFR Part 2 – the latter is specific to SUD data and imposes privacy standards that are often more stringent than those found in HIPAA. With few exceptions, providers and stewards of SUD data must obtain consent before sharing personally identifiable information that is protected by 42 CR Part 2. States can make the most of sharing data across agencies by building in time and resources to manage data governance issues:
- Data use agreements help to clearly articulate how organizations will use data, and specifically how it supports policy development. This Centers for Medicare & Medicaid Services fact sheet on DUAs outlines necessary components, helpful tips, and includes state example documents. Recognizing the limitations of all data sets included in a DUA also helps to expedite work. Confidentiality issues can be addressed clearly and completely, eliminating onerous approaches to de-identification or aggregation that may not ultimately be necessary. State agencies may have existing DUAs in place that can support new/emerging uses.
- Massachusetts was able to combine protected data from across ten disparate state agencies through a project-specific de-identification process that assigned random identifiers to each record. The state also developed a series of legal agreements that covered how data would be linked, shared, hosted, and accessed.
Expect challenges:
- Timeliness of data in a rapidly shifting substance use epidemic can be a challenge for virtually all data sets, as very few reporting systems offer real-time data. Longer lags, however, particularly those that pass more than a year from collecting data to reporting, make some data sets better used for understanding the landscape in retrospect rather than as a planning tool. Some states use unconfirmed data when necessary to track particularly urgent indicators, such as drug overdose deaths.
- Completeness of data sets – and the lack thereof – can also pose limitations for policymakers and is a major factor in data quality. State Medicaid enrollees, for instance, may move on and off the program as individual eligibility fluctuates, creating gaps in coverage and in key data points, such as current addresses. Encounter data from Medicaid managed care plans can also be problematic – states can improve encounter data quality through contract incentives, regular communication, and guidance. State-level guidance to providers and/or managed care organizations may be required to improve completeness of data
Conclusion
Many data sets produced by state and federal agencies have value when used individually, but when data can be shared and presented in new ways, it begins to tell a more comprehensive story of the particular and highly localized impact of SUD across systems and populations. There has been unprecedented activity at the state level in recent years to identify and use data sources to better understand and address state and local needs to prevent SUD, reduce the harms caused by SUD, and promote treatment and recovery. While states adopt indicators and metrics that meet specific state needs, there is an increasingly innovative menu of options to support their efforts.
Acknowledgements: The National Academy for State Health Policy provided this report with the ongoing support of JBS International and the federal Health Resources and Services Administration (HRSA). The authors would like to thank Lisa Patton, PhD, Vice President of Health Optimization Program and RCORP-TA Project Director at JBS International, and Marcia Colburn, MSW, Program Analyst in the Federal Office of Rural Health Policy at HRSA, for their continued guidance and expertise in supporting this work.
Government Eliminates Waiver Requirement for Doctors Prescribing the Addiction Treatment Medication Buprenorphine
/in Policy Blogs, Featured News Home Behavioral/Mental Health and SUD, Chronic and Complex Populations, Chronic Disease Prevention and Management, Health Equity, Physical and Behavioral Health Integration, Population Health, Social Determinants of Health /by Jodi Manz and Kitty PuringtonUpdate: On Jan. 27, 2021, the Office of National Drug Control Policy (ONDCP) notified stakeholders that the earlier announcement from the Department of Health and Human Services (HHS) that physicians will no longer have to obtain a federal waiver to prescribe the opioid use disorder treatment buprenorphine to patients – as described in this blog – will not be issued at this time. ONDCP noted that it will continue to work with HHS to “examine ways to increase access to buprenorphine, reduce overdose rates, and save lives.” NASHP will continue to update state policy leaders as these federal actions evolve.
Under new US Department of Health and Human Services practice guidelines, physicians will no longer have to go through the cumbersome process of obtaining a federal waiver to prescribe the opioid use disorder (OUD) treatment buprenorphine to patients.
Eliminating the Drug and Alcohol Enforcement (DEA) waiver regulation requirement – long viewed as a significant hurdle to increasing access to OUD treatment medications – is expected to help promote the use of medications for OUD across a range of settings. Providers and policymakers have described the waiver process as antiquated and burdensome, hindering their ability to adequately address the ever-burgeoning opioid crisis.
This change was made under the Secretary’s authority to issue practice guidelines and exemptions to the regulatory requirements for buprenorphine prescribing. It does not change existing federal law, though this may signal that such legal change is on the horizon.
A bill introduced in 2019 by US Rep. Paul Tonko of New York to remove the waiver requirement language for all eligible prescribers remains alive in the House of Representatives, awaiting action. The incoming Biden Administration could swiftly retract this new guidance, but given the momentum toward removing barriers to OUD treatment, it is not expected to be repealed. The new administration is more likely, in alignment the campaign’s opioid epidemic plan’s emphasis on access to treatment, to codify such an expansion in providers’ ability to treat.
Before the waiver was eliminated, doctors had to:
Complete eight hours of training and complete an application to the Substance Abuse and Mental Health Services Administration.
Once granted a waiver, they could prescribe to a maximum of 30 patients for the first year.
After a year, they could submit another application to increase their patients to 100, and eventually serve up to 275 patients.
Providers have described the waiver process as antiquated and that ability to prescribe to only 30 people in the first year hindered their ability to adequately address the opioid crisis.
Because the waiver requirement was previously required for physicians in order to prescribe the medication component of OUD treatment services according to federal law, states similarly imposed this requirement in their own approaches and may need to take steps to re-align policy with the new federal guideline:
- States that integrated buprenorphine prescribing practices into their licensing regulations for prescribers may need to amend regulations to reflect changes to physician requirements. In some states, such regulations are also intended to promote prescribing safety, requiring that providers document connections to counseling and other supports, an effort designed to minimize potential diversion of buprenorphine. States could take steps to maintain – or even strengthen – these requirements, as diverted buprenorphine remains a concern to public safety policymakers.
- As states have worked to build treatment capacity for OUD, they have integrated the required training for the waiver into their efforts, often partnering with professional associations to provide the in-person training hours. States have also dedicated funding to these trainings in both state budgets and via State Opioid Response (SOR) grant dollars. Because waiver trainings will now only be required for non-physician prescribers, states may need to quickly shift training plans and provider association partners.
- Reimbursement for these services may be administratively tied to the requirement to have a waivered prescriber among OUD care team members. As states have developed Medicaid waiver demonstrations and amended state plans to include OUD treatment services, language requiring waivered prescribers was incorporated to align with the federal policy. All of these documents, directives, and billing practices will need to be amended by states to ensure that physicians – now without the waiver – can seek reimbursement.
States can leverage this policy change to address many of the challenges that were previously posed by the waiver requirement in expanding access to this life-saving treatment:
- By allowing all licensed physicians to prescribe buprenorphine to a maximum of 30 patients in their first year, this policy change helps to normalize OUD treatment as part of health care, reflecting a long trend of integrating behavioral health and primary care practices. This helps to create administrative ease for providers and payers and reduces logistical barriers for patients.
- Stigma regarding OUD has long posed a challenge for states in their efforts to expand treatment capacity, and this change at the federal level represents a sanctioning and approval of this component of treatment that may help to alleviate that stigma.
- Emergency departments have been increasing their efforts to transition individuals who use opioids and have overdosed to buprenorphine, though this approach previously required that a waivered prescriber be present at all times in the hospital setting. All emergency department physicians will now be able to administer buprenorphine onsite if necessary.
While this change opens up opportunities for physicians to expand their OUD treatment services, it also leaves many practical questions unanswered. Non-waivered physicians who previously did not obtain the waiver and who decide to begin prescribing buprenorphine in light of this new policy may want additional guidance from their states to feel comfortable prescribing, particularly for non-waiver education and billing practices.
The National Academy for State Health Policy (NASHP) will continue to follow policy changes in the treatment of OUD as they emerge from Congress and the incoming Biden Administration.
Massachusetts Increases Adolescent Substance Use Treatment by Building Primary Care Provider Capacity
/in Policy Blogs, Featured News Home Behavioral/Mental Health and SUD, Care Coordination, Chronic and Complex Populations, Integrated Care for Children, Maternal, Child, and Adolescent Health, Physical and Behavioral Health Integration /by Veronnica ThompsonTo increase much-needed early identification and treatment of adolescent substance use – and prevent the onset of substance use disorder – the Massachusetts Child Psychiatry Access Program and the Adolescent Substance Use and Addiction Program at Boston Children’s Hospital partnered to offer readily available consultation services to the state’s primary care providers and their adolescent patients with substance use needs.
Early intervention in adolescent substance use has the potential to promote healthy development, facilitate more integrated care to address related behavioral health concerns, and reduce development of a substance use disorder (SUD), resulting in significant cost savings to states. But many primary care providers (PCPs) report they are not comfortable managing the substance use needs of their adolescent patients and only 10 percent of adolescent patients who need SUD treatment receive it. The Massachusetts model provides an easily accessible expert resource to bolster access, early intervention, and primary care provider capacity to respond to this health care need.
Background
Substance use among adolescents is common. In 2019, 29 percent of US adolescents reported current use of alcohol with 13.7 percent reporting binge drinking within the past 30 days. During this same timeframe, approximately 22 percent of adolescents reported using marijuana. Among adolescents who have used substances at any point in their lifetime, 37 percent reported using marijuana and 14.3 percent reported misusing prescription opioids.[1]
View NASHP’s interactive map, State Strategies to Promote Children’s Preventive Services, to learn which states have Medicaid measures or incentives for children’s behavioral health screening.
While most adolescents who try substances, such as alcohol or marijuana, do not develop an SUD, substance use at an early age can be an important predictor of later life SUDs.[2] The majority of those with SUDs started using substances before age 18 and developed a disorder by age 20.[3] This risk is greatest for those who begin use in their early teens. In total, SUDs cost state Medicaid programs approximately $7 billion annually.[4] Even brief substance use that does not meet criteria for an SUD can affect normal adolescent brain development and key social transitions, resulting in potential long-term consequences.[5],[6] Despite the prevalence and well-documented effects of adolescent substance use, only 10 percent of 12- to 17-year-olds in need of substance use treatment actually receive services.[7]
As states explore opportunities to increase access to substance use services for adolescents, there is growing interest in the integration of behavioral health into primary care settings. This case study focuses on the Massachusetts Child Psychiatry Access Program’s partnership with the Adolescent Substance Use and Addiction Program to strengthen the identification and treatment of adolescent substance use within primary care settings.
Massachusetts Child Psychiatry Access Program
In 2003, Massachusetts launched a pilot program, the Massachusetts Child Psychiatry Access Program (MCPAP), to assist primary care providers managing the mental health needs of their patients. Originally developed by the University of Massachusetts Medical School under a grant from the Centers for Medicare & Medicaid Services and MassHealth (the state Medicaid program), MCPAP expanded statewide in 2004 under the Massachusetts Behavioral Health Partnership.[8], [9] MCPAP is a public health model that emphasizes universal screening, supports access to services in the appropriate setting based on need, and mitigates gaps in child psychiatry resources by building provider capacity.[10] Similar child psychiatry access programs (CPAPs) exist in at least 30 states and Washington, DC.[11]
MCPAP has seven regional children’s behavioral health consultation sites staffed by pediatric psychiatrists, licensed behavioral health providers, and care coordinators. These teams provide free, ongoing consultation and education to primary care providers serving children with mental health conditions. While PCPs must enroll in MCPAP, they can request a telephone consultation with MCPAP for any child, regardless of the child’s insurance status.[12] Requests to MCPAP can include:
- Questions about diagnosis and treatment options;
- Use of medications and screening tools;
- Available community resources;[13] and
- Requests that MCPAP staff provide diagnostic face-to-face or telehealth consultations with the youth/family.
MCPAP is financed by state general revenue funds (totaling $3.87 million in fiscal year 2019) under the Massachusetts Department of Mental Health, which covers operational costs under MCPAP, including staff salaries and administrative expenses. [14] While MassHealth does not currently claim Medicaid reimbursement for MCPAP consultation services provided to eligible enrollees, in-person visits provided under the program are eligible for Medicaid reimbursement. For children with commercial insurance served by MCPAP (representing 60 percent of consultations), insurers reimburse the state for their members’ portion of MCPAP costs under a formula used by the state’s Pediatric Immunization Program Assessment.[15],[16]
Available outcome data on MCPAP suggests promising results, particularly relating to the perceived competency of participating providers. Among the PCPs enrolled in MCPAP, 77 percent reported feeling comfortable treating attention-deficit hyperactivity disorder (ADHD) and 68 percent and 67 percent reported feeling comfortable treating depression and anxiety, respectively. However, fewer than 15 percent of these providers reported feeling comfort treating adolescent SUDs, suggesting a need for enhanced support.[17]
Partnership Approach
In 2019, MCPAP entered into a partnership with the Adolescent and Substance Use and Addiction Program (ASAP). Based at the Boston Children’s Hospital, ASAP is a specialty clinic that provides adolescent substance use services, including in-person comprehensive evaluation, diagnostic assessments, and treatment services (e.g., therapy and medication-assisted treatment). Using a team-based approach, ASAP staff include developmental-behavioral trained pediatricians, addiction medicine specialists, licensed social workers, and child and adolescent psychiatrists who are uniquely equipped to serve adolescents with a full range of substance use problems and disorders.[18]
The ASAP-MCPAP partnership operates using the existing MCPAP structure, in which PCPs enrolled in MCPAP submit consultation requests to their regional MCPAP team via telephone. Substance use-specific requests are then routed to an ASAP clinician for additional information and education. Similar to MCPAP, consultation services under ASAP are available to all adolescents regardless of their insurance status.
Depending on the nature of the request, ASAP clinicians consult on a variety of care management activities, such as brief intervention tools and behavioral contracting, medications to curb withdrawal and drug testing programs, and referrals to behavioral health services, including the ASAP clinic.[19] The partnership with ASAP costs $70,000 annually and is funded using available state funds appropriated to support MCPAP.[20] These appropriated funds cover a portion of ASAP clinicians’ time, allowing them to provide consultation services under MCPAP.
Massachusetts Child Psychiatry Access Program and Adolescent and Substance Use and Addiction Program Partnership Model
Since the ASAP-MCPAP partnership launched in October 2019, requests for substance use-specific consultation have steadily increased. While some incoming calls to ASAP are critical (e.g., a recent overdose), most questions relate to more routine adolescent substance use problems (e.g. excessive marijuana use) and requests for referrals. These initial utilization trends mirror those seen when MCPAP first launched. Drawing from the lessons learned from MCPAP’s early years, ASAP and MCPAP are using these initial consultation requests as an opportunity to promote stronger primary care management.[21] For example, ASAP clinicians often begin by assisting a provider with a referral or obtaining a buprenorphine waiver for medication-assisted treatment for an opioid use disorder. As PCPs continue to submit requests, ASAP clinicians will gradually empower them to manage their adolescent patients’ substance use needs independently. While building primary care providers’ clinical competency and capacity takes time, this approach has the effect of sustainably improving access to adolescent substance use treatment services over the long-term.
As the ASAP-MCPAP partnership continues to evolve and telehealth becomes more widely accepted due, in part, to COVID-19, ASAP-MCPAP is piloting a program in which PCPs connect adolescents to SUD counselling by calling the ASAP-MCPAP. Under this pilot, an ASAP clinician submits third-party reimbursement claims for any counselling rendered, with MCPAP providing supplemental funds to offset the ASAP clinician’s downtime.[22] By offering telephonic substance use treatment under the ASAP-MCPAP, there may be additional consultation requests, and thus, more opportunities to strengthen providers’ capacity to manage adolescent substance use needs in primary care.
Conclusion
In an effort to increase access to substance use services for adolescents, Massachusetts successfully expanded MCPAP through a partnership ASAP to strengthen the identification and treatment of adolescent substance use by building the capacity of PCPs. With child psychiatry access programs (CPAPs) in at least 30 states and Washington, DC, Massachusetts’s partnership model can inform other states’ efforts to augment their CPAP to better support adolescent substance use needs.[23]
Notes
[1] “Prescription Opioid Misuse and use of Alcohol and Other Substance Among High School Students-Youth Risk Behavior Survey,” Department of Health and Human Services, Centers for Disease Control and Prevention, 2019. https://www.cdc.gov/mmwr/volumes/69/su/pdfs/su6901a5-H.pdf
[2] “Principles of Adolescent Substance Use Disorder Treatment: A Research-Based Guide,” National Institute on Drug Abuse, 2014. https://d14rmgtrwzf5a.cloudfront.net/sites/default/files/podata_1_17_14.pdf
[3] Dennis, M.; Babor, T.F.; Roebuck, C.; and Donaldson, J. Changing the focus: The case for recognizing and treating cannabis use disorders. Addiction 97:(s1):4–15, 2002.
[4] Mark, T., et al., Insurance financing increased for mental health conditions, but not for substance use disorders, 1986-2014. Health Affairs, June 2016. https://www.healthaffairs.org/doi/full/10.1377/hlthaff.2016.0002
[5] National Institute for Drug Abuse, “Principles of Adolescent Substance Use Disorder Treatment: A Research -Based Guide”
[6] “Teen Substance Use and Risks,” Department of Health and Human Services, Centers for Disease Control and Prevention. Accessed October 1, 2020. https://www.cdc.gov/ncbddd/fasd/features/teen-substance-use.html
[7] “Substance Abuse and Mental Health Services Administration. Results from the 2012 National Survey on Drug Use and Health: Summary of National Findings,” Substance Abuse and Mental Health Services Administration, 2013.
[8] Dube, N., “Massachusetts Child Psychiatry Access Project,” Objective Research for Connecticut’s Legislature Research Report, 2013. https://www.cga.ct.gov/2013/rpt/2013-R-0011.htm
[9] Massachusetts Behavioral Health Partnership is the state’s contracted Medicaid mental health and substance abuse provider.
[10] “Overview, Vision, and History,” Massachusetts Child Psychiatry Access Program. Accessed October 1, 2020. https://www.mcpap.com/About/OverviewVisionHistory.aspx
[11] “The Network,” The National Network of Child Psychiatry Access Programs. Accessed November 9, 2020. https://nncpap.org/thenetwork.html
[12] “Overview, Vision, and History,” Massachusetts Child Psychiatry Access Program
[13] Dube, Massachusetts Child Psychiatry Access Project
[14] “Budget Summary FY2019, Child and Adolescent Mental Health Services,” Office of the Governor. Accessed October 2, 2020. https://budget.digital.mass.gov/bb/gaa/fy2019/app_19/act_19/h50425000.htm
[15] John Straus. (Massachusetts Child Psychiatry Access Program Founding Director) Email. September 22, 2020.
[16] Code of Massachusetts Regulations: 104 CMR 30.08, “Massachusetts Child Psychiatry Access Program Assessment,” February 8, 2019. https://www.mass.gov/files/documents/2019/02/11/jud-lib-104cmr30.pdf
[17] John Straus, Sharon Levy, “Stopping Behavioral Health and Substance Use Disorders Before They Start: Prevention and Treatment in Adolescence,” Aspen Institute, May 2020. https://ascend.aspeninstitute.org/webinar-stopping-behavioral-health-and-substance-use-disorders-where-they-start-prevention-and-treatment-in-adolescence/
[18] “Overview: Adolescent and Substance Use Program,” Boston Children’s Hospital. Accessed October 2, 2020. http://www.acaam.org/wp-content/uploads/2017/04/Pharmacologic-Treatment-in-Pediatric-PC_FINAL-LEVY-AMFDA_LiveLink_2017_04_03-003CBS-first.pdf
[19] Straus and Levy, Stopping Behavioral Health and Substance Use Disorders Before They Start: Prevention and Treatment in Adolescence
[20] John Straus. (Massachusetts Child Psychiatry Access Program Founding Director) Email. September 22, 2020.
[21] Ibid.
[22] Ibid.
[23] “The Network,” The National Network of Child Psychiatry Access Programs. Accessed November 9, 2020. https://nncpap.org/thenetwork.html
Acknowledgements: This case study is a publication of the National Academy for State Health Policy (NASHP). This project is supported by the Health Resources and Services Administration (HRSA) of the US Department of Health and Human Services (HHS) under the Supporting Maternal and Child Health Innovation in States Grant No. U1XMC31658; $398,953. The information, content, and conclusions are those of the authors’ and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS, or the US government.
States Work to Improve Long-Term Care in the Age of COVID-19
/in The RAISE Act Family Caregiver Resource and Dissemination Center Ohio, Washington, Wisconsin Blogs, Featured News Home Care Coordination, Chronic and Complex Populations, COVID-19, Health Equity, Long-Term Care, Medicaid Managed Care, Physical and Behavioral Health Integration, Population Health, State Resources, The RAISE Family Caregiver Resource and Dissemination Center /by Paige SpradlinNursing home residents account for at least one-third of COVID-19 deaths, and this disparity reveals numerous problems with infection control in institutional settings. As a result, many states are rethinking and restructuring their long-term services and supports (LTSS) programs.
A recent National Academy for State Health Policy (NASHP) annual conference session explored what states have learned during the current health crisis that could improve LTSS during and beyond the pandemic. State officials from Washington State, Wisconsin, and Ohio highlighted their states’ responses to the current crisis, emerging innovations, and prospects for restructuring LTSS in a post-COVID-19 era.
Maximizing the Flexibility of Home- and Community-Based Waiver Services
Washington State, home to the first nursing home to be ravaged by COVID-19 in the United States, immediately worked with federal partners to maximize the flexibility of home- and community-based waiver services following its first reported case. The state was among the first to receive approval from the Centers for Medicare & Medicaid Services (CMS) for its 1135 and 1115 Medicaid waivers, which provided enrollees with increased access to services during the COVID-19 pandemic and additional supports to LTSS workers. State officials noted that the presumptive eligibility measures incorporated into these new waivers ensured that individuals were able to access the LTSS they need without having to wait for their applications to be fully processed. This flexibility has helped minimize administrative burdens on eligibility workers as states face increased demands on their Medicaid programs.
Like Washington State, Wisconsin utilized waivers to implement much-needed flexibility within its home- and community-based services (HCBS) provided through the state’s 1915(c) Medicaid waiver. Importantly, the state expanded the ability of its HCBS agencies to provide waiver services remotely, including care coordination and day services. The state also modified service delivery for Medicaid acute primary services, allowing these to be delivered through telehealth and other technologies to comply with social distancing.
Leveraging State Resources to Prevent and Contain Outbreaks for High-Risk Individuals
To contain and prevent outbreaks, Ohio relied on the following guiding principles to support its nursing facilities throughout the pandemic:
- Leverage regional and local leadership to coordinate a unified response; and
- Provide resources to support nursing facilities, including additional health services and technical assistance. These efforts were supported by $314 million from the US Department of Health and Human Services (HHS), some of which was provided by the Coronavirus Aid, Relief, and Economic Security (CARES) Act, that was specifically dedicated to Ohio skilled nursing facilities (SNFs). Each SNF in Ohio with six or more certified beds was eligible to receive a fixed distribution of $50,000 plus an additional $2,500 per bed.
To coordinate a unified state COVID-19 response, Gov. Mike DeWine and leaders from a major hospital chain created three health care zones divided among the state’s large metro areas to manage hospital capacity and maintain patient level of care during an anticipated surge in hospitalization services. State officials in the three health care zones paired nursing facilities with local hospitals to manage distribution of personal protective equipment (PPE) and to ensure that staff were well-equipped to treat patients.
Additionally, the state developed the following resources to support nursing facilities, staff, and patients throughout the pandemic:
- A toolkit developed by the Ohio Department of Aging, Department of Health, Department of Developmental Disabilities, and Department of Medicaid to assist nursing facilities with assessing residents and determining their care needs during a COVID-related surge in service utilization;
- Increased testing services for nursing facility staff as mandated by a Public Health Order signed by the director of the Ohio Department of Health and conducted by the Ohio National Guard over a period of two months; and
- Congregate Care Unified Response Team (CCURT) Bridge Team, composed of staff from the Ohio Department of Health and Ohio Department of Medicaid, to assist nursing home staff with decision making in emergency situations and coordinating facility communication with relevant state agencies, the Emergency Operations Center, health care zones, and hospitals in the area.
Many of the steps taken by Ohio state officials track with the principal recommendations issued by the CMS-appointed Coronavirus Commission Report for Safety and Quality in Nursing Homes, including establishing a statewide strategy for testing in nursing homes, coordinating with state and local leadership, leveraging resources to support the nursing home workforce, and assembling a long-term care emergency response team to evaluate and guide emergency care coordination. With these strategies and systems in place, Ohio and other states now have the infrastructure to better manage infection control in institutional settings for future public health emergencies.
Post-COVID-19 Planning
While many of the policy changes highlighted here are temporary and in effect only during the pandemic, it is important to understand the impact of these changes on cost and quality of life to determine which, if any, should be retained after the pandemic. State officials from Washington State, Ohio, and Wisconsin reported they found the following flexibilities especially helpful:
- Presumptive eligibility for LTSS, so the state can initiate home- and community-based services as quickly as possible;
- Waiving plan signatures and self-attestation in favor of post-enrollment verification to ensure that enrollees receive timely supports; and
- Flexibilities for respite care for family caregivers, particularly those supporting individuals with intellectual and developmental disabilities, to reduce stress and burnout.
State officials noted it would be helpful to receive support from CMS in retaining these flexibilities. State officials also suggested that broader legislative changes to Medicaid, such as streamlining Medicaid authorities that support HCBS and making HCBS mandatory state plan services on par with nursing home care, would help reduce administrative complexity and facilitate rebalancing efforts.
Q&A: How Louisiana Has Retooled its Harm Reduction Services for Vulnerable Populations during COVID-19
/in Policy Louisiana Blogs, Featured News Home Behavioral/Mental Health and SUD, Chronic and Complex Populations, Chronic Disease Prevention and Management, COVID-19, Health Coverage and Access, Health Equity, HIV/AIDS, Physical and Behavioral Health Integration, Population Health, Safety Net Providers and Rural Health, Social Determinants of Health /by Eliza Mette, Mia Antezzo and Jodi ManzAs drug overdose deaths accelerate during the COVID-19 pandemic, states are working to ensure that a continuum of services, including access to harm reduction programs, remain available to people with substance use disorder (SUD). The National Academy for State Health Policy (NASHP) recently spoke to Louisiana’s Viral Hepatitis Coordinator Emilia Myers and STD/HIV/Hepatitis Program Deputy Director Anthony James to learn how the state is continuing to provide harm reduction services during the pandemic.
Louisiana authorizes cities, including New Orleans, Baton Rouge, Shreveport, and Alexandria, to operate syringe services programs (SSP). The state has helped maintain these programs by targeting federal grants and through close cooperation between state and community partners.
How have the challenges posed by COVID-19 impacted the day-to day operation of harm reduction services in Louisiana?
Louisiana has six active SSPs across the state. They have stepped up to the challenges of this pandemic and have continued to provide their services, essentially without interruption. They’ve been able to do so through some very innovative approaches, such as hotlines and mail-based naloxone services, and by moving away from brick-and-mortar SSPs. The Louisiana Department of Health (LDH) has worked to improve its relationships with SSPs and link them with their respective local health departments. One result of this manifested in New Orleans where, right when COVID-19 started to ramp up, the city started providing residences for folks who were experiencing homelessness. SSPs went out to the hotels that were housing people to bring harm reduction services to them.
We are also using federal State Opioid Response (SOR) grant dollars in collaboration with the Office of Behavioral Health to fund SSP navigators and federal Opioid Overdose Data to Action (OD2A) dollars in collaboration with the Bureau of Community Preparedness to fund Linkage to Treatment Coordinators (LTCs), who prioritize people who inject drugs (PWID) who have fallen out of hepatitis C treatment. If they are also willing to talk about their drug use, the LTC will conduct a Screening, Brief Intervention and Referral to Treatment (SBIRT). We’ve also been using OD2A funds for our marketing campaign to raise awareness of integrated and co-located care for OUD (opioid use disorder), hepatitis C, HIV, and SSPs to reduce harms associated with substance use disorder, which we hope to continue.
Luckily, there is buy-in to this work. About a year ago, together with the Office of Behavioral Health and Bureau of Community Preparedness, we developed a state health department-wide, harm-reduction crosswalk, which was an environmental landscape analysis of who’s doing what in infectious disease, who’s doing what in OUD, and how we can create no-wrong-door systems of care. We’ve had some modest gains as a result, including braiding select government funds, scaling up SSP-based OEND (overdose education and naloxone delivery), increasing opt-out hepatitis C testing at select human service district agencies and cross-training OBOT (office-based opioid treatment) providers statewide to deliver both medication-assisted treatment for OUD and treatment for hepatitis C and we are looking to build on our momentum. Our state agencies have innovative leaders that make connections for more effective public health and behavioral health collaboration and care touch points, and we’re fortunate to have trailblazers that keep this work moving along.
How have people with comorbid HIV and hepatitis C diagnoses been affected by COVID-19, and how has the state responded?
We know folks who are coinfected are one of the populations most vulnerable to unemployment, poverty, lack of access to health care, and they generally have a lot of competing priorities between trying to take their medications and live their lives. Anecdotally, we are seeing more people accessing SSPs and needing supplies, and SSPs are trying to accommodate that increased demand. With an increase in utilization of SSP services, we hope there will not be an increase in overdoses and or increases in HIV and hepatitis C transmission. I think COVID-19 has really turned access into a challenge and created additional burdens for vulnerable populations, so we have to look at the issue through a health equity lens. There are a lot of systemic challenges and barriers that have been exacerbated by the pandemic, and people’s health has become a lesser priority because they’re trying to survive day to day.
Within our Hepatitis C Elimination Plan activities [featured in an April 2020 NASHP case study], we have seen decreases in testing and treatment as a result of the pandemic. Before we launched our program, 61 people per month were starting curative treatment. After implementation, we were seeing on average 478 people per month starting treatment. At the start of the COVID-19, that number dropped back down to an average of 155 people per month, but since September 2020, testing and treatment utilization has picked back up. This has forced us to learn how to get testing and treatment outside of brick and mortar treatment facilities, because people are anxious of going into health care systems. Because of funding reductions and other impacts of COVID-19, we revisited our hepatitis C strategy to ensure we were focused on realistic and achievable objectives for the second year of the plan, and reassess what Years 3 through 5 will look like. COVID-19 has forced us to pivot and continuously innovate hepatitis C service delivery. We will use this as an opportunity to leverage our response and facilitate a larger push in harm reduction.
How does Louisiana’s harm reduction approach support health equity and reduce disparities?
In both the LDH and STD/HIV/Hepatitis Program mission statements, we focus on addressing health equity and racial disparities across the board. Disparities in health care exist and are associated with worse health outcomes, for example the HIV/HCV coinfection diagnosis and prevalence rates are disproportionally higher among Black males primarily in the Baton Rouge and New Orleans areas. Looking at the mono-hepatitis C surveillance data, there hasn’t been a lot of variability in who’s being diagnosed by race. We see disparities in rates of infection by age – we have baby boomers and people who inject drugs getting infected, so we have this bimodal distribution. In an effort to address these disparities in the context of the current hepatitis C/OUD syndemic, we have to pinpoint shortcomings in hepatitis action towards people who actively use drugs and expand primary prevention through harm reduction because treating your way out of a hepatitis C epidemic isn’t feasible. PWID are increasingly researched, but their ability to tell their own stories and provide input into the programs and services they utilize has been historically limited due to stigma. Louisiana is changing that by leveraging community wisdom through community advisory boards to inform evidence-based service delivery. We move this work forward through a core set of values to help us ensure that the services that we and our community partners provide are moving in an equitable direction.
How has the pandemic necessitated or encouraged new strategies or partnerships?
One of our strategies has been offering provider training. We’ve leveraged Project ECHO to train providers how to leverage telemedicine to treat and manage hepatitis C virtually, revamping remote care. There has been a lot of engagement from clinicians.
There was also a decline in hepatitis C and HIV testing at the start of COVID-19. Our community-based partners have conducted risk mitigation strategies to safely re-engage people in testing. Now that they’ve been able to get PPE, they are able to conduct testing in community settings again.
We are also prioritizing data sharing and maximizing opportunities to form strong partnerships, because the syndemic of hepatitis C, HIV, and drug overdose is really intertwined, and COVID-19 has only made things more challenging. Reinforcing our partnerships and leveraging data sharing, in addition to amplifying the voices and wisdom of community members, is helping us make these programs work for the people who rely on them.
What would you say are your greatest lessons learned from COVID-19?
We really need to lean into interdisciplinary telemedicine for comprehensive care, especially for the hard-to-reach communities in high-burden regions of the state. COVID-19 has caused so much slow down, but also additional time to re-assess what we’re doing. In this context, developing robust telemedicine programs will be critical. The next challenge will be how to integrate offerings into clinical care beyond the COVID-19 pandemic so that a “one-stop-shop” PWID service bundle will become an increasingly ordinary part of care with movement towards the goal of reducing disparities in infectious diseases and opioid use disorder treatment access.
How New York Is Safeguarding Pregnant Women during the COVID-19 Pandemic
/in Policy Blogs, Featured News Home Care Coordination, Chronic and Complex Populations, COVID-19, Eligibility and Enrollment, Health Equity, Infant Mortality, Integrated for Pregnant/Parenting Women, Maternal Health and Mortality, Maternal, Child, and Adolescent Health, Physical and Behavioral Health Integration, Population Health, Social Determinants of Health /by Taylor PlattA Centers for Disease Control and Prevention (CDC) study published in September found that pregnant women, especially Black and Latinx, are at increased risk of severe illness from COVID-19 compared to non-pregnant individuals. They are more likely to be admitted to intensive care units (ICU), receive invasive ventilation, and are at increased risk of death.
In response to COVID-19, several states, including New York, are working closely with the CDC to collect data on COVID-19 and pregnancy and implement guidelines to improve women’s outcomes and address disparities. Earlier this year, the New York COVID-19 Maternity Task Force submitted a report with recommendations to the governor, who is now implementing these actions.
Background
At the start of the COVID-19 pandemic, little was known about the impact of the disease on pregnant women. CDC and the American College of Obstetricians and Gynecologists (ACOG) have been monitoring data about pregnant women infected with the coronavirus and publishing updated guidance as new information comes to light. Recently, the CDC determined that pregnant women are at increased risk for severe illness from COVID-19. In response, last April New York Gov. Andrew Cuomo formed the COVID-19 Maternity Task Force.
In a recent report, the CDC summarized maternal and birth outcomes of hospitalized pregnant women with confirmed COVID-19. Between March and August, 598 hospitalized pregnant women tested positive for COVID-19:
- Approximately 55 percent were asymptomatic at the time of admission;
- 42.5 percent self-identified as Hispanic or Latino;
- 26.5 percent were non-Hispanic Black; and
- 20.6 percent had at least one underlying condition – asthma and hypertension were the most prevalent.
Additionally, symptomatic pregnant women were at an increased risk for ICU admission and mechanical ventilation. This new data continues to highlight how COVID-19 disproportionally impacts Black and Latinx populations and has implications for providing care to pregnant women during the pandemic.
New York’s Actions
New York’s COVID-19 Maternity Task Force report includes the following recommendations:
- Diversify birthing site options to support patient choice to deliver at a hospital or a birthing center;
- Authorize at least one support person to accompany an individual during labor, delivery, and recovery;
- Universally test all pregnant patients for COVID-19;
- Ensure equity by continuing to engage community members and community-based organizations;
- Increase messaging and education of pregnant patients about COVID-19 and perinatal care; and
- Encourage the New York State Department of Health to continue collaborating with academic institutions, regional perinatal centers, and medical organizations to review the impact that COVID-19 has on pregnancy and newborns.
Gov. Cuomo accepted all of the task force’s recommendations and New York’s Department of Health (DOH) has begun to implement the recommendations. The original executive order issued in March addressing having support people present during labor has been amended to include support during labor, delivery, and recovery, and now includes doulas as part of the care team.
Following the task force recommendations, hospital and health systems have rolled out universal COVID-19 testing for pregnant women, and DOH has approved two new temporary birthing centers as a result of the streamlined process to establish additional birthing centers during the pandemic. DOH will continue to accept applications for midwifery birth centers and provide emergency approvals during the public health emergency to ensure access to safe perinatal care and provide a variety of birthing options to parents.
DOH partnered with the University at Albany School of Public Health to conduct an early literature review on the impact of COVID 19 and pregnancy. Results were shared with staff from regional perinatal centers across the state for feedback and discussion. The final version of the literature review was posted on the New York State Perinatal Quality Collaborative website in June 2020.
The New York State Perinatal Quality Collaborative, in partnership with the American College of Obstetrics and Gynecology District II, hosted statewide interactive webinars on obstetrical care and implicit bias within the context of the COVID-19. Educational webinars related to the management of pregnant people during the COVID-19 pandemic featured state obstetric leaders sharing their experiences, successes, and challenges related to treating pregnant and postpartum people during the COVID-19 pandemic. Webinar participants were able to submit questions during the live event or prior to the event by email. In addition to the obstetric-focused webinars, the collaborative also hosted a neonatal-focused webinar relating to COVID-19 that addressed the testing and care of newborns. All webinars were recorded and each has been posted on the public section of the collaborative’s website.
Resources to Improve Maternity Care during COVID-19
Throughout its response to COVID-19, New York’s DOH has been committed to promoting health equity, especially as it relates to maternity care. It convened a workgroup that included community members to provide input and oversight into the development of education and messaging materials related to COVID-19, which is under development. A webinar conducted in partnership with the collaborative. on COVID-19 and Maternal Equity was held on June 5, 2020. This webinar features a panel discussion of maternity and racial justice experts led by Joia Crear-Perry, MD, FACOG, of the National Birth Equity Collaborative on the impact of COVID-19 on the birth equity and included stories of lived experience shared by a Rochester mother who had given birth during the pandemic and a community health worker supporting pregnant women in the Bronx.
As states continue to confront COVID-19 and its impact on health care delivery, it will be important for states to consider new CDC data on pregnant women and best practices for how to protect women and children, especially pregnant women of color. The National Academy of State Health Policy will continue to track state actions on COVID-19 and pregnant women. For more information on COVID-19 and pregnancy explore this NASHP Infographic: How State Medicaid Programs Can Use Telehealth to Serve Pregnant Women during COVID-19 and blog, States Implement Strategies to Safeguard Pregnant Women during the COVID-19 Pandemic.
States Use CHIP Health Services Initiatives to Support Home Visiting Programs
/in Policy Blogs, Featured News Home CHIP, Chronic and Complex Populations, Infant Mortality, Integrated for Pregnant/Parenting Women, Maternal Health and Mortality, Maternal, Child, and Adolescent Health, Medicaid Managed Care, Physical and Behavioral Health Integration /by Taylor PlattMaternal and infant mortality rates in the United States have been steadily rising over the past decade, with stark racial disparities between White and Black mothers and their babies. Black infants are twice as likely to die than White infants, and Black mothers are four-times more likely to die from pregnancy-related causes than White women.
Evidence-based home visiting programs, such as those funded by the Maternal, Infant, and Early Childhood Home Visiting Program (MIECHV), play an important role in improving the health and well-being of the maternal and child health (MCH) population, especially during stressful periods of economic downturns and the COVID-19 pandemic. In addition to MIECHV funding, the Children’s Health Insurance Program’s (CHIP) Health Services Initiatives (HSIs) are a funding opportunity available to states to support home visiting programs.
For an indepth report about public insurance financing of home visiting services and additional information about CHIP HSIs, read/download Public Insurance Financing of Home Visiting Services: Insights from a Federal/State Discussion.
Research shows home visiting programs improve overall maternal and infant health outcomes, increase maternal depression screenings, reduce child abuse and neglect, promote child development and school readiness, and improve coordination and referrals for community resources.
To support these programs, states use an array of private and public funds, including Medicaid and the CHIP funding, to support home visiting services. Specifically, CHIP HSIs are available to states to support a range of child health services, including home visiting since CHIP’s inception in 1997. Recently, there has been an uptick in the number of states using HSIs with 45 federally approved HSIs established between 2016 to 2019.
The Centers for Medicare & Medicaid Services (CMS) approve state HSIs through a state plan amendment that includes performance metrics to measure impact and outcomes of the programs. CHIP HSIs are designed to serve children under age 19 who are eligible for Medicaid or CHIP, but they can be designed to improve the health of a broader population of children beyond those eligible for Medicaid or CHIP.
HSIs can focus on direct services, public health initiatives, or ongoing social, behavioral health needs. Funding for HSIs comes from a combination of state and federal funds. A state draws federal funds from its CHIP administrative allocation, which is 10 percent of its CHIP block grant spending, to help fund an HSI. These funds are provided at the state’s CHIP match rate. States must consider all of their administrative expenditures, including those required to operate their CHIP programs, such as staff, managed care fees, systems upgrades, etc. to ensure there are remaining funds, within a 10 percent cap, before committing funds to an HSI project.
As of 2019, there are 71 approved HSIs in 24 states. At least three states currently have HSIs that include home visiting services and one state recently received CMS approval to start an HSI that includes home visiting services.
- Alabama’s State Plan Amendment was approved in September 2019 to implement an HSI to provide case management and care coordination to low-income, high-risk pregnant women and their infants in three counties to improve pregnancy outcomes and infant health for up to one year postpartum. The case management services include home visits.
- The Arkansas SafeCare program is a structured, evidence-based and in-home parenting program that has a home visitor and parent work together to create a safe home environment. The home visitor assists the parent in providing structure and routines, while encouraging systematic health decision-making to keep children safe in their homes. Parents are provided with useful tools, such as books, thermometers, childproof safety locks, and other learning materials to use in their family environment to keep children safe. The home visitor delivers weekly or biweekly home visits for approximately 18 to 22 weeks. More information can be found about the state plan amendment here.
- Massachusetts has two CHIP HSIs that include home visiting services. The first, Healthy Families, is a newborn home visiting program that provides home visits, a six-week neonatal and postnatal parenting education support group series, and parent-child interaction groups to support positive parent-child relationships. The HSI is designed to serve families with at-risk newborns. The Young Parent Support program is another CHIP HSI that provides funding for community-based organizations that provide outreach, home visits, mentoring, and parent groups to strengthen the skills of young parents.
- Missouri’s newborn home visiting program serves at-risk, low-income pregnant and postpartum women and their children up to five years of age. Clinical staff and other trained professionals provide a range of services to families, including group training sessions and connection to needed resources. The CHIP HSI’s goal is to increase healthy pregnancies and positive birth outcomes, as well as decrease child abuse and neglect through its home-based services.
States are implementing evidence-based home visiting programs to improve health outcomes for women, children, and their families. CHIP HSIs are one of many funding mechanisms states can use to help expand their home visiting services and continue to improve the lives of children and their families, especially at a time when the COVID-19 pandemic has brought new challenges for states and families. In spite of these challenges home visiting remains an important service for women, children, and families.
States will soon be faced with critical budget challenges brought on by the COVID-19 pandemic and will have to make tough decisions about funding for home visiting services. CHIP HSIs provide one funding source states may want to use to help support home visiting services.
- For more information on financing home visiting, read the NASHP report, Medicaid Financing of Home Visiting Services for Women, Children, and Their Families.
- And for additional information on CHIP HSIs, explore NASHP’s report, Leveraging CHIP to Improve Children’s Health: An Overview of Stare Health Services Initiatives.
Public Insurance Financing of Home Visiting Services: Insights from a Federal/State Discussion
/in Policy Blending and Braiding Funding, Care Coordination, Children/Youth with Special Health Care Needs, Children/Youth with Special Health Care Needs, CHIP, CHIP, Chronic and Complex Populations, Chronic Disease Prevention and Management, Health Coverage and Access, Integrated Care for Children, Long-Term Care, Maternal, Child, and Adolescent Health, Medicaid Managed Care, Physical and Behavioral Health Integration, Population Health, State Resources, The RAISE Family Caregiver Resource and Dissemination Center /by Taylor Platt and Karen VanLandeghemNASHP hosted a meeting of state and federal Medicaid, public health, and home visiting leaders to discuss key opportunities, challenges, and innovative approaches to enhance public insurance financing of home visiting services. Participants discussed strategies to enhance Medicaid and Children’s Health Insurance Program funding of home visiting services and strengthen state financing systems to support home visiting. This report summarizes the key themes discussed at this meeting, including critical policy levers, state strategies, and key considerations to enhance these efforts.
Introduction
Home visiting is a long-standing strategy that states use to improve the health and well-being of women, children, and their families, particularly those living in underserved and vulnerable communities. Home visits are often provided to families to deliver social, health, and educational services and can play an important role in addressing health needs throughout the life course. Home visiting programs can include screenings for physical, social-emotional, and developmental issues, case management, and family support and counseling. Services can also include promotion of well child visits and immunizations, Early and Periodic Screening, Diagnostic and Treatment (EPSDT) services, prenatal and postpartum care, and education about healthy nutrition and physical activity.
They have been shown to increase important services, such as:
- Screening caregivers for depression and intimate partner violence;
- Improving school readiness for children; and
- Improving coordination and referrals to community resources.[1]
Home visiting programs have demonstrated cost savings in several areas, including reducing unnecessary health service utilization through a decrease in emergency room visits and decreased placement in special education services and grade repetitions.[2] One of the largest benefits from home visiting is decreasing a family’s need for public assistance.[3] Home visiting is a cost effective way to address social determinants of health and a way to support health care providers by ensuring that the diverse needs of families can be addressed and met outside of clinical care settings.
The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Program was established in March 2010. The federal program, administered by the Health Resources and Services Administration (HRSA), supports evidence-based, voluntary home visiting services for families with young children that reside in communities at risk for poor health outcomes.[4] In 2019, the program awarded approximately $351 million to 56 states, territories, and nonprofit organizations to support home visiting services, serving over 154,000 parents and children, and providing more than 1 million home visits nationwide.[5] While MIECHV is a critical federal program for states, the need for home visiting services far exceeds federal MIECHV funding to states. Approximately 18 million pregnant women and families could have benefited from home visiting services but were not served, according to 2018 data.[6]
Financing of home visiting services is a key factor in the availability of and access to home visiting services. States finance home visiting services through multiple federal and state funding streams in addition to MIECHV. These funding streams include Medicaid and the Children’s Health Insurance Program (CHIP), Temporary Assistance for Needy Families (TANF), the state Title V Maternal and Child Health (MCH) Services Block Grant, state general revenue funds, and private foundation support. Medicaid and CHIP can play a key role in supporting home visiting services. In 2019, nearly three-quarters (76 percent) of participants in the MIECHV program were enrolled in Medicaid.[7] Recognizing this important role, the Centers for Medicare & Medicaid Services (CMS) and HRSA issued a Joint Informational Bulletin in 2016 containing guidance to states on federal authorities, opportunities, and strategies for supporting home visiting services through Medicaid and the Children’s Health Insurance Program (CHIP).[8]
The National Academy for State Health Policy (NASHP), with support from the HRSA Maternal and Child Health Bureau (MCHB), hosted a meeting in January 2020 of state and federal leaders in Medicaid, public health, and home visiting to discuss key opportunities, challenges, and innovative approaches to enhancing public insurance financing of home visiting services. It is important to note that this meeting was held prior to the COVID-19 pandemic and states are now facing the ramifications of the pandemic, including reduced state budgets. Participants discussed strategies to enhance Medicaid and CHIP financing of home visiting services in states and strengthen state financing systems to support home visiting. The meeting provided an opportunity to collectively identify and discuss strategies for enhancing federal and state financing of home visiting programs. This document summarizes the key themes that were discussed at this meeting, and reflects discussion among state officials who participated in the meeting about the critical policy levers, state strategies, and key considerations for enhancing efforts in this area.
State Policy Opportunities to Increase Use of Public Insurance Financing
States have long-standing programs and investments that support home visiting for women, children and their families. Public insurance financing is a key part of these efforts in many states. A recent national report found that approximately 20 states use Medicaid and CHIP to finance home visiting services.[9] Several policy questions persist concerning the use of public insurance financing and braiding the array of federal, state, and private funding options available to states:
- Limited awareness about which elements of home visiting Medicaid and CHIP can reimburse for;
- Varying knowledge levels among home visiting stakeholders about how to navigate the Medicaid program;
- The administrative burden around tracking and reporting the impact of home visiting services on health outcomes;
- The need for integration and alignment among home visiting services and other child-serving systems; and
- The variability among states’ policy, programmatic, and system considerations resulting in the need for tailored and targeted financing strategies.
State health leaders who participated in the federal/state meeting (see Appendix B) identified the following policy areas that need additional focus and support relating to public insurance financing of home visiting services.
How can states ensure that home visiting programs are fully funded, particularly given the looming fiscal crises, to meet the needs of all eligible families. This requires complex braiding of federal, state, and private funding streams. Home visiting programs provide an array of services and supports to pregnant women, infants, and children, not all of which are Medicaid- and CHIP-reimbursable. Therefore, home visiting programs must be supported by multiple federal and state funding streams. State health leaders expressed the need to ensure that the full array of services (e.g., health services, social supports, home visitor transportation, provider training) are provided through home visiting programs, while leveraging financing of those services that can be covered by Medicaid and CHIP.
Limited awareness about public insurance financing options and the use of federal authorities in Medicaid and CHIP can hinder the use of these options in states. State Medicaid, MIECHV, and Title V MCH programs, and other stakeholders that administer home visiting services expressed the need for additional information and technical assistance about public insurance financing options and how to use and leverage them in states. Home visiting is not a mandated benefit or fully defined set of services under the federal Medicaid program. States must leverage one or more categories of benefits (e.g., case management, preventive services, and home health services) in order to use federal Medicaid and CHIP funds for home visiting services.[10] To leverage them effectively requires an in-depth understanding of the financing options available under Medicaid and CHIP, knowing which services are reimbursable, and strong cross-sector partnerships among state Medicaid and public health programs.
Complexities in state Medicaid and managed care plan rate setting can lead to variability in reimbursement rates for home visiting services among states. Rate setting for Medicaid is a complex process that involves ensuring rates are actuarially sound based on economy, efficiency, and quality.[11] State Medicaid agencies set their own rates for services through an actuarial process that takes into account base utilization, medical trend inflation, and risk adjustment.[12],[13] The actuarial process used to set Medicaid payment rates takes into account cost savings and the benefits of a service over a period of time. In the case of home visiting services, cost savings may not be realized until years after the service is delivered. Additionally, low usage of services can result in lower projected costs for the service, and therefore a lower baseline for the service when determining the overall capitation rate. Home visiting rates for select states underscore this variability – in Oregon, reimbursement is $355 per visit for home visiting delivered through targeted case management, in Minnesota public health nurses are able to bill $140 per visit, and in South Carolina, Medicaid reimburses $176 per visit.[14]
In addition to overall rate setting, state Medicaid agencies also must negotiate rates for home visiting services provided by managed care plans, in states that serve Medicaid beneficiaries through Medicaid managed care. Negotiating rates with managed care plans can be a challenge for several reasons. First, a wide range of services are provided in home visiting, making it difficult to establish a rate that fully covers all components of a home visit. Also, the benefits of home visiting services, like school readiness, reduced crime or domestic violence, and improved parent-child relationships,[15] may not be fully realized while a Medicaid beneficiary is a member of the Medicaid managed care plan and Medicaid enrollees often transition on and off of coverage over time, resulting in a potential disincentive for health plans to invest in services.
Medicaid and CHIP reimbursement rates can impact the availability of home visitors. Because home visiting is not a discrete service, reimbursement rates may be lower than what is needed to cover a full home visit, which includes costs for transportation for the home visitors and assistance in accessing non-Medicaid related services. Reimbursement levels can hinder the ability of states and community-based organizations to hire and retain professionals (e.g., public health nurses and other health and social service professionals) who deliver home visiting services. In a national survey of home visiting program managers, low salary was the most common reason (51 percent) for staff turnover.[16] Home visitor workforce shortages can lead to an inability for programs to fully reach and support the large population of families that need and can benefit from services.
Navigating state Medicaid billing policies and billing codes when providing services using a two- generation approach requires dedicated staff time. Home visiting programs are intentionally designed using a two-generation approach – a model that promotes caring for the mother and child together as one unit. In this case, determining correct codes for billing can be complicated and also depend on state Medicaid policy for Medicaid reimbursement of two-generation services. Federal guidance allows states to reimburse for services to a Medicaid-eligible mother or a Medicaid-eligible child for services that actively involve the child, are directly related to the needs of the child and such services must be delivered to the child and mother together, but can be claimed as a direct service for the child.[17] Given the different funding streams used to support services, administrators need to know what types of providers can be reimbursed by which funding streams (e.g., Medicaid or MIECHV) and the appropriate billing codes and procedures for all of the different services that home visitors provide.
Rules governing qualified provider requirements in Medicaid state plan amendments can limit which home visitors are reimbursed. Evidence-based home visiting models vary in their requirements for who qualifies as a home visitor.[18] Some programs require that nurses conduct a home visit, while other programs promote the use of community health workers or other trained staff. Federal Medicaid law[19] allows states to set reasonable standards relating to qualifications of providers under Medicaid.[20] Depending on the benefit, services can be provided by unlicensed practitioners who meet qualifications established by a state. Such benefits include the case management benefit, preventive services, and rehabilitative services benefit. Examples of reasonable standards states must set for providers include the ability to perform the service in a professionally competent manner and the infrastructure to bill.[21] State policies vary regarding terms for qualified providers for home visiting. Some states set the qualified provider based on the home visiting model being used (e.g., nurse family partnership), while others may use local health departments or other community-based organizations that already have qualified providers to deliver services.[22] The types of providers a state deems to be an eligible qualified provider may not always include the provider who is the home visitor. Additionally, in most cases the qualified provider rendering the home visiting service is not the same as the qualified billing provider (e.g., a physician, local implementing agency, or health department), which can add another layer of complexity to Medicaid reimbursement.
Navigating federal Medicaid authorities such as waiver requirements can impact the use of some Medicaid strategies. Federal Medicaid Section 1115 demonstration project authorities provide states with additional flexibility to design policy initiatives and programs that improve health care for Medicaid beneficiaries. The federal Section 1115 Medicaid waiver, for example, is a research demonstration waiver that is approved for an initial five-year period, and can be extended for up to an additional three to five years depending on the populations served.[23] A few states (e.g., Maryland and Vermont) have used Section 1115 waivers to support home visiting through Medicaid.[24] However, states at the meeting discussed that due to the intricacies of the federal waiver process this strategy is not commonly used to support home visiting services. One factor may be that states are required to demonstrate budget neutrality over the life of the demonstration project, usually lasting just a few years. While some home visiting outcomes, like those for pregnant women and newborns, may be more immediate, other health outcomes may not be evident until several years after the service is provided. Because of this states can experience challenges in demonstrating cost savings to continue to use Medicaid dollars through the 1115 demonstration waiver.[25]
Lack of alignment across federal and state data reporting requirements adds to complexities in demonstrating the impact of home visiting programs. States must submit separate federal program reports for different performance measures and indicators across the programs that support home visiting, creating challenges for state performance reporting. States often have to implement planning processes and dedicate resources to integrate home visiting efforts, create data tracking and reporting systems that align measures across an array of programs, and ultimately, build a statewide integrated home visiting program from multiple federal and state funding sources. These challenges are compounded by a lack of staff capacity to report on data, inadequate state reporting systems, and lack of comparability of data and reporting measures across federal programs including Medicaid and CHIP. Most states have few-to-no home visiting data tracking and reporting systems that fully capture home visiting data and thus, ease the reporting process as it relates to home visiting.
Financing Strategies and Innovations to Address Key Opportunities
State Medicaid, public health, and MIECHV officials who participated in the federal/state discourse meeting agreed that while there are policy areas in need of further support and focus, public insurance financing of home visiting provides important opportunities to increase the ability of states to provide critical home visiting services to MCH populations.
Participants described a range of public insurance financing strategies and innovations that they are using to support home visiting programs. These strategies include the use of:
- Medicaid-targeted case management;
- Medicaid managed care contracting processes;
- Federal Medicaid authorities (e.g., Section 1115 waivers);
- CHIP Health Services Initiatives (HSIs);
- Public/private partnerships, such as the Pay for Success model in South Carolina; and
- Value-based payment and bundling of home visiting services payments.
The state examples included below represent some of the leading innovations using public insurance financing and were reflected in the discussions and strategies highlighted during the meeting. These states – many of which were represented at the federal/state discourse meeting – took unique approaches to integrating public insurance into their financing of home visiting. Because lessons learned from these models formed the basis of discussions at the meeting, summaries of these models and some of their more innovative elements are highlighted. Additional information about these models is included in Appendix C and also has been previously widely reported on by NASHP and others.
Targeted Case Management
The most common Medicaid mechanism for financing home visiting is targeted case management (TCM). TCM is a service under Medicaid that helps enrollees gain and coordinate access to necessary medical, social, and educational care and other services tailored to their needs.[26] TCM helps enrollees gain access to needed services, but cannot be used to provide the underlying needed services. Traditionally, one way states have used TCM for MCH populations is to increase use of prenatal care through maternal and infant case management programs.[27] Use of TCM requires submission of a state plan amendment to CMS for approval. At least 33 states currently use TCM to finance home visiting services for prenatal care as a Medicaid benefit, and at least 30 cover it as a postpartum Medicaid benefit.[28] TCM was outlined in the CMS and HRSA joint informational bulletin as a strategy states could use to promote public insurance financing. Additionally, using TCM can help address the challenge of navigating the federal Medicaid Section 1115 demonstration process by only requiring a state plan amendment.
- The Kentucky Health Access Nurturing Development Services (HANDS) program, administered by the Kentucky Department of Public Health, is a voluntary statewide home visiting program that serves Medicaid-eligible parents during the prenatal period through the child’s third birthday. The program is supported by Medicaid through TCM and other state and federal funds. Kentucky uses state tobacco funds as the state match for federal Medicaid dollars. Services provided include health education, developmental and social-emotional screenings for children, domestic violence and perinatal depression screenings for parents/caregivers, and referral coordination.[29] Through coordinated efforts across state Medicaid and public health agencies, the program is delivered through local health departments using a fee-for-service payment model. Kentucky was able to leverage MIECHV funds to expand services beyond just first-time mothers.
Medicaid Managed Care Contracting
Nearly all states serve a majority of their Medicaid enrollees through Medicaid managed care (MMC) programs. As of 2017, 47 states and Washington, DC enrolled some of their Medicaid enrollees in Medicaid managed care plans.[30] The MMC contracting process presents opportunities for states to promote home visiting services for eligible pregnant women. State Medicaid programs contract with managed care plans to provide services and agree to a set per member per month payment for the services provided. Home visiting services can be included in the capitated payment rate in MMC. As more states transition Medicaid-eligible pregnant women to managed care, they are using MMC contracts to promote home visiting services.
- Michigan’s Maternal and Infant Health Program (MIHP) is administered by the state Medicaid agency and is the largest home visiting program in the state. MIHP is available to all pregnant women enrolled in Medicaid and their infants up to 12 months. The program promotes healthy pregnancies and positive birth outcomes via a standardized, system-wide process of case management.[31] The MIHP program is written into the Medicaid State Plan to allow Medicaid to fund the program. MIHP services have been rolled into the state’s Medicaid managed care contracts and managed care organizations (MCOs) can contract with MIHP providers to provide services. MIHP services include social work, nursing services (e.g., health education and nutrition education), breastfeeding support, nutritional counseling, and beneficiary advocacy services.[32] Recently, MIHP was approved as a MIECHV evidence-based model.
- Minnesota includes home visiting as part of its capitated payment rate under its managed care contracts. The state has a long history of using Medicaid to finance home visiting services. Minnesota requires the managed care plans to contract with local health departments to administer voluntary, evidence-based home visiting programs to Medicaid enrollees. At least five additional states use managed care to finance home visiting. The state legislature set the rate at $140 per visit to help ensure the reimbursement rate was not too low. Two states (Illinois and New Mexico) are working to implement demonstration projects through their managed care plans.[33]
- In its biennium budget, Virginia Medicaid seeks federal authority through waivers and state plan amendments to implement a home visiting benefit for at-risk pregnant women and postpartum women at risk of poor health outcomes. The intention is for this benefit to be included as part of the state’s managed care plans contracts allowing MCOs to contract with local providers for these services. At this time, funding for this process is unallotted due to COVID-19 and the Virginia General Assembly is expected to meet in a special legislative session to make a determination on this budget item. Early Impact Virginia officials, which is the alliance for early childhood home visiting programs, meets regularly with the Office of the Secretary of Health and Human Resources, the Office of the First Lady of Virginia, the Virginia Department of Health, Virginia Medicaid, and other relevant stakeholders to ensure in the development of the benefit and the potential for evidence-based models.
Federal Medicaid Section 1115 Demonstration Projects
Federal Medicaid waivers give states the flexibility to design home visiting services for Medicaid recipients. As previously mentioned, the Section 1115 demonstration project gives states additional flexibility to design and improve their programs by waiving certain provisions of federal Medicaid law. A few states have taken advantage of this federal Medicaid authority.
- Maryland’s Section 1115 demonstration project allows local government entities to apply for federal matching funds for Maryland’s Home Visiting Services (HVS) Pilot. The HVS Pilot provides home visiting services for high-risk pregnant women and children up to two years of age. The HVS Pilot is aligned with two-evidence-based models – (Nurse Family Partnership and Healthy Families America) – that focus on the health of pregnant women. Local government entities can apply to the program if they are able to fund 50 percent of HVS Pilot costs with local dollars. Key community partners must be identified to help deliver the pilot program. Approximately $2.7 million in matching federal funds are available on an annual basis and the HVS Pilot expenditures can total up to $5.4 million annually. The pilot operates until Dec. 31, 2021.[34]
CHIP Health Services Initiatives
An emerging federal initiative to increase public insurance financing of home visiting are CHIP Health Service Initiatives (HSIs). CHIP HSIs have been available to states since shortly after the passage of CHIP in 1997 to support a range of child health services including home visiting. CHIP HSIs are intended to serve children under age 19 who are eligible for Medicaid or CHIP, but can be designed to improve the health of a broader population of children.[35] HSIs are funded by a combination of state and federal money. States draw federal funds from the their CHIP administrative allocation, which is 10 percent of its CHIP block grant. HSIs can focus on direct services, public health initiatives, or ongoing social, and behavioral health needs. State HSIs are subject to CMS approval through a state plan amendment and must include metrics to measure impact and outcomes of the program.
At the meeting, some state officials expressed interest in developing a home visiting HSI. However, officials raised concerns about ensuring that programs are able to provide the full scope of home visiting services and the challenges of working in coordination with additional payers. Because home visiting is not a discrete health care service, leaders raised considerations and challenges, similar to ones raised for Medicaid, about using a CHIP HSI to fully support home visiting services. At least four states have home visiting CHIP HSIs.
- Arkansas’s HSI – SafeCare – focuses on delivering home visiting services to children at risk for placement in foster care. SafeCare is a structured, evidence-based, and in-home parenting program that has a home visitor and parent work together to create a safe home environment.[36] The home visitor assists the parent in providing structure and routines, while encouraging systematic health decision-making to keep children safe while in their homes. Parents are provided with useful tools, such as books, thermometers, childproof safety locks, and other learning materials to use in their natural family environment to keep children safe. The home visitor delivers weekly or biweekly home visits for approximately 18 to 22 weeks.[37]
Public/Private Partnerships
Some states have developed unique public/private partnerships to leverage home visiting to advance priorities for MCH populations. South Carolina wanted to improve birth outcomes and address infant mortality rates. State officials built a public/private partnership to further support the state’s Nurse Family Partnership (NFP) home visiting program. During the discourse, state officials acknowledged needing significant incentives and political will from an array of state agencies, the legislature, and the private sector to create the Pay for Success (PFS) program. While the public/private partnership is an opportunity states are interested in exploring, there is a significant amount of administrative work to get this type of model off the ground.
- South Carolina’s Pay for Success model relies on strong private-public partnerships. In the model, a private investor provides the upfront capital to implement an evidence-based social service program in collaboration with a government agency. The government repays the investor if the program meets the agreed-upon goal. South Carolina is currently using the PFS model in conjunction with Medicaid to expand the home visiting programs in the state. The PFS initiative focuses on improving health outcomes for Medicaid-eligible mothers and children. In 2016, the South Carolina Department of Health and Human Services, which administers Medicaid and the PFS initiative, used a 1915(b) Medicaid waiver to support NFP’s efforts.[38] The PFS initiative directed $30 million — $17 million from philanthropic funders and $13 million from Medicaid — to expand the NFP’s evidence-based services to an additional 3,200 first-time, low-income mothers across the state. South Carolina used a 1915(b) waiver because it allowed NFP to bill in real time for the cost of home visiting services, expand home visiting services, and waive the freedom of choice of providers for the NFP program. The program focuses on four outcome metrics to assess NFP’s impact:
- A reduction in preterm births;
- A reduction in child hospitalizations and emergency department usage due to injury;
- An increase in healthy spacing between births; and
- An increase in the number of first-time mothers served in areas with high concentrations of poverty.
The state made $7.5 million available for success payments based on NFP’s performance on each metric.[39]
Value-based Payment and Bundling of Home Visiting Services
Value-based payment (VBP) models and bundled payments were discussed as an opportunity states could use to increase public insurance financing of home visiting services. State Medicaid agencies are turning to VBP models as part of health system reform. Moving away from the traditional fee-for-service model that is based on volume of care, VBP models reward providers for reaching specific goals around the quality of care while taking into account cost considerations.[40] VBP models have been implemented to help better serve MCH populations using benchmarks such as prenatal care initiation, postpartum care, and reduction in early elective delivery rates.[41]
Bundled payments represent a single payment to providers for all services given to treat a condition during a predefined episode of care.[42] For example, Medicaid agencies can use a bundled payment for labor and delivery services. Currently, few states are using VBP or bundled payments for home visiting. State leaders expressed interest in pursuing these policy levers but acknowledged they are newer strategies that need further exploration.
- New York used a Section 1115 demonstration to promote Medicaid financing of home visiting services. The Medicaid Redesign Team (MRT) demonstrations assisted in delivery system transformation in New York with its transition towards VBP. Part of the demonstration included delivery system reform incentive payments (DSRIP). DSRIP programs that incentivize infrastructure improvements, care delivery redesign, and improvements in the quality of care for low-income populations and assist states in developing the infrastructure necessary for successful transition to New York provides incentive payments for meeting milestones on both system reform projects and outcome measures.[43] In addition to the DSRIP and VBP efforts, New York also pursued a First 1000 Days on Medicaid Initiative, in conjunction with the MRT waiver, aimed to improve outcomes for a child’s first three years of life. The initiative works across systems to improve outcomes for children on Medicaid. Statewide home visiting services are a key part of the initiative’s action plan to address social determinants of health for children on Medicaid, and has since been incorporated through a separate Children’s Design Home and Community-Based Services (HCBS)-focused program in its MRT demonstration. While expenditure authority for the DSRIP component of the MRT demonstration ended on March 31, 2020, expanded HCBS remains an active component of the MRT demonstration.[44]
Key Considerations and Next Steps
State leaders discussed several key considerations and opportunities to strengthen public insurance financing of home visiting services. In addition to the array of available Medicaid financing options, state leaders discussed the importance of taking advantage of federal authorities and initiatives, particularly CHIP HSIs, integrating home visiting into broader state health reform efforts, and aligning and coordinating home visiting efforts with new federal opportunities, such as reporting requirements for the CMS Child Core Set (i.e., Medicaid children’s health care quality measures). They also identified opportunities for federal agencies to continue to support state public insurance financing of home visiting services.
Considerations for Federal Agencies
- Provide ongoing education about home visiting program successes, technical assistance, and resources available to increase awareness and understanding among state Medicaid and CHIP, Title V MCH, and MIECHV program leaders and other key stakeholders about the array of federal Medicaid and CHIP authorities, policy levers, and strategies to support home visiting services.
One of the key challenges states and other key stakeholders identified was the need for ongoing education about state innovations and approaches to public insurance financing of home visiting services. While nearly half of states use Medicaid and CHIP to support home visiting services, ongoing education and technical assistance detailing what public insurance is available to cover home visiting and how to successfully braid public insurance with other federal, state and private financing streams could help states and key stakeholders develop strategies to maximize their home visiting programs. A deeper understanding of how to use Medicaid and CHIP to finance home visiting services could help states expand use of public insurance financing mechanisms.
- Stress the importance of integrating home visiting services into existing programs and services for parenting and pregnant women, children and their families, and align financing strategies so they support a comprehensive system.
Service integration is a key factor in improving the health and well-being of MCH populations. States are using public insurance to finance as many different types of services (e.g., screening, case management, and education) as possible to support home visiting. Interagency partnerships and collaboration have been key to service integration. States work across agencies to ensure that a wide range of services are available to Medicaid beneficiaries. Additionally, with multiple home visiting programs operating in states, streamlining enrollment applications for families is a priority. To promote service integration, states are moving towards health care models that treat both caregiver and child, and Medicaid agencies are beginning to develop financing strategies to support reimbursement of services in this area.[45] Home visiting programs provide an opportunity to develop financing strategies that support a two-generation model of care.
- Ensure that financing of home visiting programs, including the use of Medicaid and CHIP, integrates evidence-based programming and practices, such as the two-generation approach.
Home visiting models use the two-generation approach and home visitors are meeting with and providing services for both mother and baby. This requires new funding considerations and outcome measurement strategies to support home visiting models. Providing education about how to finance and bill home visiting programs can help states strengthen home visiting services that target both caregivers and their children. Education detailing how to measure outcomes when a home visitor is meeting with the whole family may clarify questions that states have about best practices around data monitoring.
- Coordinate home visiting measurement with the CMS Adult and Child Core set to foster alignment among public health and Medicaid performance and quality measures.
State participants identified coordinating data measurement as a key opportunity to help overcome some of the challenges around data collection and reporting, and to optimize new federal reporting requirements and opportunities under Medicaid. In particular, the Child and Adult Core sets are measures identified by CMS that have been shown to improve child and adult health outcomes. Starting in 2023, state Medicaid programs will be required to report on the measures set annually; currently reporting is voluntary.[46] These standardized measures present an opportunity for states, and in particular state Title V MCH program and MIECHV program leaders, to align their home visiting outcome measures with child and adult core measures under Medicaid. While there is no core measure for home visiting, the services provided may be represented by a measure in the core set. Alignment of these measures can help ensure home visiting services are considered as part of state child and adult health measure sets for Medicaid and identify the impact the programs have on health outcomes. Additionally, coordination with the Child Core set presents states with an opportunity to leverage integrated data systems that could help facilitate coordination of reporting to different agencies.
Considerations for States
- Integrate public insurance financing as part of state health reform efforts in Medicaid and CHIP, including strategies to move towards value-based payment (VBP).
State Medicaid health reform efforts are a key opportunity for states to maximize public insurance financing. Many state Medicaid agencies, like New York, are advancing VBP reforms providing an opportunity to use this strategy for public insurance financing of home visiting. At the meeting, state officials suggested considering bundled payment options for home visiting services. With an increase in VBP reforms and interest in alternative payment models, there is an opportunity for states to weave home visiting services into these broader health reform efforts. Because VBP and bundled payments are newer areas of focus for states, strategies, policy levers, and approaches for using these newer forms of payment and financing of home visiting services may be needed. In September of 2020, CMS released a letter to state Medicaid directors on Value-Based Care Opportunities in Medicaid detailing information on federal Medicaid regulatory authorities available to states and key considerations for states seeking to advance VBP, from level and scope of financial risk for payers and providers to assessment of delivery system readiness.[47] Additionally, the letter highlights various payment strategies states have used to advance value-based care like payment models built on fee-for-service architecture and episode-of-care payments. The letter presents additional opportunities for states to consider how to advance public insurance financing of home visiting as a part of value-based care efforts.
- Incorporate public insurance financing of home visiting services as part of state efforts to build and improve comprehensive, integrated systems of programs and services for women, children, and their families.
In order to promote and increase the use of public insurance financing of home visiting, there is a clear need to strengthen infrastructure support for home visiting. Through universal enrollment forms, partnerships with public health agencies, and by taking advantage of federal authorities, states are taking steps to strengthen infrastructure to support systems-based approaches to financing of home visiting programs that reach as many women and families as possible. Using a systems-wide approach involves multiple agencies and health systems that align and embed home visiting programs as part of coordinated care. This approach can help ensure the longevity and success of these programs. Public insurance is a key opportunity for states to strengthen systems, like early childhood, that include their home visiting networks and increase public health capacity to address social determinants of health. - Promote cross-sector partnerships as a critical element of public insurance financing of home visiting.
States involved in the federal-state discourse meeting had strong public/private and cross-sector partnerships. When states are considering increasing or restructuring their use of public insurance to finance home visiting services, it is essential to have strong working relationships across agencies and teams and engage executive leadership to help promote coordination. A strong cross sector partnership between state Medicaid, Title V, and MIECHV officials is integral to successfully using public insurance to finance home visiting. States also identified the private sector as a helpful partner in building and sustaining home visiting services. Bringing different agencies together to work on public insurance financing of home visiting services can strengthen overall systems and gain the political momentum to move the work forward. - Continue to advance financing strategies that promote the use of multiple federal and state financing streams, including Medicaid and CHIP, to support home visiting programs.
State participants underscored the importance of braiding different funding streams to help support home visiting programs. There are clear opportunities for states to expand home visiting services with public insurance financing and expand services like upstream interventions to help address social determinants of health. However, state officials underscored the need to ensure that public insurance financing considerations are part of a range of approaches to financing home visiting. State leaders spoke about how braiding funds, especially public insurance, is a key strategy to bolster home visiting and serve as many women, children, and families as much as possible.
Conclusion
Public insurance financing of home visiting programs is a complex issue that requires each state to decide what strategy works best and fits its specific needs. Numerous states, including those represented at this federal/state discourse meeting, are developing and implementing a range of innovative strategies and taking advantage of federal Medicaid and CHIP authorities to support home visiting services. Use of Medicaid and CHIP to support home visiting programs may be best advanced through education, technical assistance, resources, and efforts that promote cross-sector partnerships and collaboration among state Title V MCH programs, MIECHV program directors and state Medicaid agencies. Indeed, convening states to discuss different approaches and providing technical assistance to states may be the best approach to help them design home visiting programs that are supported by Medicaid and CHIP, among a variety of federal and state funding streams. Furthermore, public health crises (e.g., the opioid crisis and the COVID-19 pandemic) and other emergent issues can increase the need for home visiting services, but also provide new opportunities for financing and delivery of services to reach individuals through such strategies as telehealth. Home visiting programs provide valuable services, such as care coordination and referrals to social and community supports to MCH populations that states can leverage to continue work on social determinants of health. As states move forward with exploring public insurance financing, state budgets will be an important factor to consider when investing in home visiting services. Using public insurance to finance home visiting services is a key opportunity for states to improve the health and wellbeing of women and their families.
Appendix A: Key Informants
The National Academy for State Health Policy (NASHP) conducted key informant interviews to gather detailed information from subject matter experts and state officials on public insurance financing of home visiting services. Six subject matter experts and nine states were identified. State Medicaid, Title V, and MIECHV officials were invited to participate in the interviews to gather a wide range of perspectives. Key informant interviews with states and subject matter experts were scheduled for 30 minutes and conducted in the fall of 2019. Interviewees were specifically asked about opportunities, challenges, and barriers to public insurance financing of home visiting services and were given the opportunity to provide additional information on the topic.
- Medicaid, Title V, and MIECHV officials from the following states were interviewed. In some cases, we spoke with multiple state representatives.
- Alabama
- Colorado
- Kentucky
- Michigan
- Minnesota
- New Jersey
- New York
- South Carolina
- Texas
- Subject Matter Experts
- Jeanna Capito, Coordinator, Model Alliance
- Keith Fudge, Policy Program Manager, Urban Institute
- Kay Johnson, Consultant
- Sarah McGee, Chief Policy and Government Affairs Officer, Nurse Family Partnership
- Allison Meisch, Project Director, National Home Visiting Resource Center
- Christian Soura, Vice President, Policy and Finance, South Carolina Hospital Association
Appendix B: Federal/State Discourse Meeting on Public Insurance Financing of Home Visiting Services Participant List
State Officials
| Bryan Amick Deputy Director, Office of Health Programs, South Carolina Department of Health and Human Services |
Laurel Aparicio Executive Director, Early Impact Virginia |
| Linda Aragon Director, Division of Maternal, Child, and Adolescent Health Los Angeles County Department of Public Health |
Rachel Becker Special Assistant to the Secretary of Health and Human Resources Virginia Department of Health |
| Stephen Cook Medical Director, Division of Medical and Dental Directors New York State Department of Health |
Margaret Geraghty Health Policy Analyst, Maternal, Infant, & Early Childhood Home Visiting Program Maryland Department of Health |
|
Benjamin Hazelton
|
Jordan Kennedy
|
| Alexandra Loizias Division Chief, Innovation and Delivery System Reform Maryland Medicaid |
Dawn Reckinger Manager, Family Home Visiting Minnesota Department of Health |
| Dawn Shanafelt Director, Division Maternal and Infant Health Michigan Department of Health and Human Services |
Christian Soura Vice President, Policy and Finance South Carolina Hospital Association |
| Joanna Su Manager of Strategic Planning, Maternal, Infant, & Early Childhood Home Visiting Program at Governor’s Office of Early Childhood Development State of Illinois |
Federal Representatives
| Josephine Ansah
Public Health Analyst, Division of Home Visiting and Early Childhood Systems |
Meg Barry Deputy Director, Division of State Coverage Programs Centers for Medicare & Medicaid Services |
| Melissa Brodowski Deputy Director, Office of Early Childhood Development Administration for Children and Families |
Kelsi Feltz Public Health Analyst, Office of Policy and Planning Health Resources and Services Administration, Maternal and Child Health Bureau |
| Rachel Herzfeldt-Kamprath Policy Analyst, Division of Home Visiting and Early Childhood Systems, Health Resources and Services Administration, Maternal and Child Health Bureau |
Amanda Innes Senior Advisor/Chief of Staff, Health Resources and Services Administration, Maternal and Child Health Bureau |
| Kirsten Jensen Director, Division of Benefits and Coverage Centers for Medicare & Medicaid Services |
Michele Lawler Director, Title V Federal Program Health Resources and Services Administration, Maternal and Child Health Bureau |
| Cynthia Phillips Director, Division of Home Visiting and Early Childhood Systems Health Resources Services Administration, Maternal and Child Health Bureau |
Ann Stock Public Health Advisor, Division of Home Visiting and Early Childhood Systems Health Resources and Services Administration, Maternal and Child Health Bureau |
| Michael Warren Associate Administrator Health Resources and Services Administration, Maternal and Child Health Bureau |
Kristen Zycherman Coordinator, Maternal and Infant Health Initiatives Centers for Medicare & Medicaid Services |
National Organization Representatives
| Emily Blanford Program Principal, Health Program National Conference of State Legislatures |
Jeanna Capito Consultant and Home Visiting Model Alliance Facilitator, Home Visiting Model Alliance |
| Amy Haddad Director of Public Policy and Government Affairs, Association of Maternal & Child Health Programs |
Zach Laris Director of Federal Advocacy & Child Welfare Policy American Academy of Pediatrics |
| Catriona MacDonald Executive Director, Association of State and Tribal Home Visiting Initiatives |
Sarah McGee Chief Policy and Government Affairs Officer, Nurse Family Partnership |
| Mary Peniston Chief Program Officer, ChildFirst |
Kathy Pillow-Price Project Co-Director, Home Visiting Improvement Action Center Education Development Center |
| Josh Prosser Policy Associate, Linchpin Strategies, LCC |
National Academy for State Health Policy Staff
Melissa Caminiti
Project Director (formerly with NASHP)
Eddy Fernandez
Research Analyst
Taylor Platt
Policy Associate
Karen VanLandeghem
Senior Program Director
Appendix C: Additional Resources on Financing of Home Visiting Programs
- Joint Informational Bulletin: Coverage of Maternal, Infant, and Early Childhood Home Visiting Services
- Medicaid Financing of Home Visiting Services for Women, Children, and Their Families
- Medicaid and Home Visiting: The State of States’ Approaches
- State Home Visiting Approaches Improve Early Childhood Outcomes and Systems
- Funding Home Visiting with a Pay for Outcomes Approach
- Financing Public Health Interventions through Pay for Success: South Carolina and the Nurse-Family Partnership Seek to Improve Maternal and Child Health through Pay for Success
- Home Visiting: Improving Outcomes for Children
- Fostering Social and Emotional Health through Pediatric Primary Care: A Blueprint for Leveraging Medicaid and CHIP to Finance Change
- Health Care Payment Learning & Action Network (HCPLAN): Alternative Payment Model (APM) Framework
- Health Affairs: A Roadmap for Driving High Performance in Alternative Payment Models
- American Academy of Pediatrics: Pediatric Accountable Care Organizations: Insight from Early Adopters
- CMS State Medicaid Director Letter on Value-Based Care Opportunities in Medicaid
- Developing Data Exchange Standards for MIECHV Home Visiting Programs
End Notes
- “Home Visiting.” Maternal and Child Health Bureau, March 4, 2020. https://mchb.hrsa.gov/maternal-child-health-initiatives/home-visiting-overview.
- Heather Zaveri, Andrew Burwick, and Erin Maher, “The Potential for Cost Savings from Home Visiting Due to Reductions in Child Maltreatment,” Casey Family Programs, April 2014, http://www.chapinhall.org/sites/default/files/documents/EBHV%20Cost%20Savings%20Brief.pdf.
- Michalopoulos, Charles, Kristen Faucetta, Anne Warren, and Robert Mitchell. Evidence on the Long-Term Effects of Home Visiting Programs: Laying the Groundwork for Long-Term Follow-Up in the Mother and Infant Home Visiting Program Evaluation (MIHOPE). OPRE Report 2017-73. Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. https://files.eric.ed.gov/fulltext/ED579153.pdf
- “Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Program: Background and Funding.” Congressional Research Service, November 21, 2018. https://fas.org/sgp/crs/misc/R43930.pdf.
- “Home Visiting.” Maternal and Child Health Bureau, March 4, 2020. https://mchb.hrsa.gov/maternal-child-health-initiatives/home-visiting-overview.
- National Home Visiting Resource Center. 2019 Home visiting yearbook. James Bell Associates and Urban Institute. 2019. https://live-nhvrc.pantheonsite.io/wp-content/uploads/NHVRC_Yearbook_Summary_2019_FINAL.pdf
- The Maternal, Infant, and Early Childhood Home Visiting Program Partnering with Parents to Help Children Succeed, The Maternal, Infant, and
- Early Childhood Home Visiting Program Partnering with Parents to Help Children Succeed (2020). Retrieved from
- https://mchb.hrsa.gov/sites/default/files/mchb/MaternalChildHealthInitiatives/HomeVisiting/pdf/programbrief.pdf
- Vikki Wachino and James Macrae, “Coverage of Maternal, Infant, and Early Childhood Home Visiting Services,” CMCS and HRSA Joint Information Bulletin, March 2016, https://www.medicaid.gov/federal-policy-guidance/downloads/cib-03-02-16.pdf.
- Johnson, Kay. Medicaid Financing for Home Visiting: The State of States’ Approaches. Johnson Group Consulting, Inc. 2019. https://ccf.georgetown.edu/wp-content/uploads/2019/01/Medicaid-and-Home-Visiting.pdf
- Normile, Becky, Karen VanLandeghem, and Alex King. “Medicaid Financing of Home Visiting Services for Women, Children, and Their Families.” The National Academy for State Health Policy, August 2017. https://oldsite.nashp.org/wp-content/uploads/2017/09/Home-Visiting-Brief.pdf
- Managed care rate setting, Managed care rate setting § (n.d.). https://www.macpac.gov/subtopic/managed-care-rate-setting/.
- Ibid
- 2019-2020 Medicaid Managed Care Rate Development Guide, 2019-2020 Medicaid Managed Care Rate Development Guide § (2019). https://www.medicaid.gov/Medicaid/downloads/2019-2020-medicaid-rate-guide.pdf.
- Herzfeldt-Kamprath, Rachel, Maura Calsyn, and Thomas Huelskoetter. “Medicaid and Home Visiting: Best Practices from States.” Center for American Progress, January 25, 2017. https://www.americanprogress.org/issues/early-childhood/reports/2017/01/25/297160/medicaid-and-home-visiting/.
- “Home Visiting.” Maternal and Child Health Bureau, March 4, 2020. https://mchb.hrsa.gov/maternal-child-health-initiatives/home-visiting-overview.
- Sandstrom, Heather, Sarah Benatar, Rebecca Peters, Devon Genua, Amelia Coffey, Cary Lou, Shirley Adelstein, et al. “Home Visiting Career
- Trajectories.” Urban Institute, February 2020.
- https://www.urban.org/sites/default/files/publication/101641/home_visiting_career_trajectories_0.pdf.
- Vikki Wachino. “Maternal Depression Screening and Treatment: A Critical Role for Medicaid
- in the Care of Mothers and Children,” CMS, May 2016, https://www.medicaid.gov/federal-policy-guidance/downloads/cib051116.pdf
- “Home Visiting.” Maternal and Child Health Bureau, March 4, 2020. https://mchb.hrsa.gov/maternal-child-health-initiatives/home-visiting-overview.
- 42 CFR § 431.958
- 42 CFR § 431.51
- SMD # 16-005 Re: Clarifying “Free Choice of Provider” Requirement in Conjunction with State Authority to Take Action against Medicaid Providers, SMD # 16-005 Re: Clarifying “Free Choice of Provider” Requirement in Conjunction with State Authority to Take Action against Medicaid Providers § (2016). https://www.medicaid.gov/sites/default/files/federal-policy-guidance/downloads/SMD16005.pdf.
- Johnson, Kay. Medicaid Financing for Home Visiting: The State of States’ Approaches. Johnson Group Consulting, Inc. 2019. https://ccf.georgetown.edu/wp-content/uploads/2019/01/Medicaid-and-Home-Visiting.pdf
- Medicaid. “About Section 1115 Demonstrations.” About Section 1115 Demonstrations, n.d.
- https://www.medicaid.gov/medicaid/section-1115-demonstrations/about-section-1115-demonstrations/index.html.
- Normile, Becky, Karen VanLandeghem, and Alex King. “Medicaid Financing of Home Visiting Services for Women, Children, and Their Families.” The National Academy for State Health Policy, August 2017. https://oldsite.nashp.org/wp-content/uploads/2017/09/Home-Visiting-Brief.pdf
- Medicaid. “About Section 1115 Demonstrations.” About Section 1115 Demonstrations, n.d.
- https://www.medicaid.gov/medicaid/section-1115-demonstrations/about-section-1115-demonstrations/index.html.
- “Medicaid Benefits: Targeted Case Management,” Kaiser Commission on Medicaid and the Uninsured, accessed March 2017, http://kff.org/ medicaid/state-indicator/targeted-case-management.
- Sara Rosenbaum et al, “Medicaid and Case Management to Promote Healthy Child Development,” The Commonwealth Fund, June 2009, https://publichealth.gwu.edu/departments/healthpolicy/DHP_Publications/pub_uploads/dhpPublication_FB044708-5056-9D20- 3D1C4A53DFA85EC7.pdf.
- Medicaid Coverage of April 2017 Pregnancy and Perinatal Benefits,” Kaiser Family Foundation, http://files.kff.org/attachment/Report-Medicaid-Coverage-of-Pregnancy-and-Perinatal-Benefits
- . “Maternal, Infant, and Early Childhood Home Visiting Program in Kentucky – Competitive Application,” Kentucky Department of Public Health, submitted to the U.S. Department of Health and Human Services June 28, 2011,https://healthcarereform.ky.gov/grants/Documents/Maternal,%20Infant%20and%20Early%20Childhood%20Home%20Visit%20Program%20in%20Kentucky.pdf
- Normile, Becky, Karen VanLandeghem, and Alex King. “Medicaid Financing of Home Visiting Services for Women, Children, and Their Families.” The National Academy for State Health Policy, August 2017. https://oldsite.nashp.org/wp-content/uploads/2017/09/Home-Visiting-Brief.pdf
- “Michigan Home Visiting Report: How Home Visiting Supports Michigan Families ,” 2017. https://www.michigan.gov/documents/homevisiting/Home_Visiting_Initiative_Report_2017_637278_7.pdf.
- Ibid
- Johnson, Kay. Medicaid Financing for Home Visiting: The State of States’ Approaches. Johnson Group Consulting, Inc. 2019. https://ccf.georgetown.edu/wp-content/uploads/2019/01/Medicaid-and-Home-Visiting.pdf
- Home Visiting Services Pilot. Maryland Department of Health. Accessed April 6, 2020. https://mmcp.health.maryland.gov/Pages/Home-Visiting-Services-Pilot.aspx.
- Frequently Asked Questions (FAQs) Health Services Initiative, Frequently Asked Questions (FAQs) Health Services Initiative § (2017).
- https://www.medicaid.gov/sites/default/files/federal-policy-guidance/downloads/faq11217.pdf.
- “About: SafeCare Arkansas.” Stronger Families Brighter Futures, n.d. https://www.arhomevisiting.org/modelname/safecare-arkansas/.
- State Plan Amendment Approval AR-16-0002-CHIP, State Plan Amendment Approval AR-16-0002-CHIP § (2016).
- https://www.medicaid.gov/sites/default/files/CHIP/Downloads/AR/AR-16-0002-CHIP.pdf.
- “Section 1915(b) Waiver Proposal for MCO, PIHP, PAHP, PCCM Programs and FFS Selective Contracting Programs,” South Carolina Department of Health and Human Services, December 2015, https://www.medicaid.gov/Medicaid-CHIP-Program-Information/By-Topics/Waivers/Downloads/SC_Enhanced-Prenatal-Postpartum-Home-Visitation-Managed-Care.pdf
- “South Carolina Nurse-Family Partnership Pay for Success Project,” South Carolina Department of Health and Human Services, 2016, https://www.scdhhs.gov/sites/default/files/NFP%20PFS%20Fact%20Sheet%20scdhhs.pdf.
- “Value-Based Payment.” MACPAC. Medicaid and CHIP Payment and Access Commission, March 18, 2020. https://www.macpac.gov/subtopic/value-based-purchasing/.
- Maternal and Infant Health Care Delivery Models and Value-Based Payment Approaches: Key Findings From an Environmental Scan , Maternal and Infant Health Care Delivery Models and Value-Based Payment Approaches: Key Findings From an Environmental Scan § (2018). https://www.medicaid.gov/state-resource-center/innovation-accelerator-program/iap-downloads/functional-areas/iap-maternal-health-factsheet.pdf.
- Ibid
- “New York State Medicaid Redesign Team Waiver .” 1115 Research and Demonstration Waiver, November 27, 2019. https://www.health.ny.gov/health_care/medicaid/redesign/dsrip/2019/docs/formal_amendment_req.pdf.
- “Department of Health.” First 1000 Days on Medicaid Initiative. Accessed April 6, 2020. https://www.health.ny.gov/health_care/medicaid/redesign/first_1000.htm.
- Pierce-Wrobel, Clare, and Katie Green. “To Help Fix The Maternal Health Crisis, Look To Value-Based Payment.” Health Affairs Blog, July 16, 2019. https://www.healthaffairs.org/do/10.1377/hblog20190711.816632/full/.
- “Children’s Health Care Quality Measures,” 2020. https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/adult-and-child-health-care-quality-measures/childrens-health-care-quality-measures/index.html.
- Anne Marie Costello and Brad Smith. “Value-Based Care Opportunities in Medicaid.” Center for Medicaid and CHIP Services and Center for Medicare and Medicaid Innovation. September 2020. https://www.medicaid.gov/Federal-Policy-Guidance/Downloads/smd20004.pdf
Acknowledgments: The National Academy for State Health Policy thanks state officials who participated in key informant interviews and to those who attended the Federal/State Discourse Meeting, and to colleagues Cynthia Phillips, Amanda Innes, Ann Stock, Josephine Ansah, and Kelsi Feltz of the Health Resources and Services Administration, as well as colleagues at the Centers for Medicare & Medicaid Services for their invaluable feedback and guidance. This project is supported by the Health Resources and Services Administration (HRSA) of the US Department of Health and Human Services (HHS) under the Supporting Maternal and Child Health Innovation in States Grant No. U1XMC31658; $398,953. This information, content, and conclusions are those of the authors’ and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS, or the US government.
Three States’ Strategies to Improve Behavioral Health Services Delivery through Medicaid Accountable Care Programs
/in Policy Colorado, Minnesota, Rhode Island Featured News Home, Reports Accountable Health, Care Coordination, CHIP, Chronic and Complex Populations, Cost, Payment, and Delivery Reform, Health Equity, Integrated Care for Children, Maternal, Child, and Adolescent Health, Medicaid Managed Care, Medicaid Managed Care, Physical and Behavioral Health Integration, Population Health, Quality and Measurement, Quality and Measurement /by Neva KayeIn recent years, Colorado, Minnesota, and Rhode Island began using accountable care programs to improve delivery of behavioral health services. Already, the programs have produced improvements – Colorado reports an increase in the percentage of Medicaid enrollees receiving behavioral health services and Minnesota’s accountable care organization (ACO) providers have performed better than other clinics in screening adolescents for mental health issues. This report examines these states’ policies and experiences in using accountable care programs to improve delivery of behavioral health care.
Background
Medicaid is the largest payer of behavioral health care (mental health and substance use disorder) in the United States.[1] In addition, studies show that behavioral health conditions contribute to a greater cost to treat than other medical conditions.[2] There are great disparities in health outcomes for people with behavioral health diagnoses,[3] individuals with behavioral health conditions are sicker and die younger than those without such conditions. As states grapple with unprecedented budget crises and increased demand for behavioral health services due to the COVID-19 pandemic, there are incentives for them to change how behavioral health care is delivered.
In an accountable care program, groups of providers (called ACOs) share responsibility for the quality of care, health outcomes, and costs for a defined population. These programs emphasize primary care, care coordination and integration, and value-based payment. Payment depends on the ACO’s performance on defined metrics.
There is broad recognition that integrating behavioral and physical health care, and identifying and treating behavioral health conditions early can lead to improved outcomes.[4] States also face severe behavioral health workforce shortages, especially in lower-income areas — where many of those served by the Medicaid program live.[5]
As a result, states have for many years sought to reform their delivery systems to improve identification and treatment of behavioral health conditions, better integrate behavioral and physical health, and increase Medicaid enrollees’ access to behavioral health care. Many of these previous efforts were based in managed care or on a patient-centered medical home (PCMH) model.
A decade ago, state Medicaid agencies began to implement accountable care programs. In early 2020, the National Academy for State Health Policy identified eight states that had begun to use their accountable care programs to improve their delivery of behavioral health care: Colorado, Maine, Massachusetts, Minnesota, New Jersey, Oregon, Rhode Island, and Vermont. The ACOs participating in these programs focus on coordination and integration of care and provide an infrastructure to improve behavioral health services that, due to their focus on primary care, may prove particularly useful for advancing behavioral health integration.
The pandemic is already causing some states to delay delivery system reforms. However, over the longer term, the pandemic may cause more states to turn to accountable care to help them manage behavioral health services. In recent months, state Medicaid officials have had to focus their attention on ensuring that Medicaid enrollees receive the care they need, leaving little time to develop new reforms. Large state budget shortfalls are also projected,[6] which are likely to lead states to implement cost containment strategies. States may turn to accountable care programs, which hold ACOs and their affiliated providers accountable for cost, quality, and health outcomes, as a way to provide quality services while containing cost. The pandemic is also likely to create increased need for behavioral health services.[7] According to a July 2020 Kaiser Family Foundation poll, more than half of the adults reported that “stress and worry related to the pandemic has had a negative impact on their mental health.”[8] State Medicaid agencies may, ultimately, turn to accountable care to address the combined effect of decreased state funding and increased need for behavioral health services.
This report outlines the program policies, implementation experience, and lessons learned in three states that have all used accountable care to improve behavioral health care and contain cost.
How Colorado, Minnesota, and Rhode Island Structure their Programs
The three states structured their accountable care programs in different ways.
Colorado’s Regional Accountable Entities
This report uses “ACO” when describing more than one state’s accountable care organization, as each state has a unique name for its ACO.
- Colorado contracts with regional accountable entities (RAEs);
- Minnesota contracts with Integrated Health Partnerships (IHPs); and
- Rhode Island certifies accountable entities (AEs).
Colorado began its accountable care program in 2011, but the state did not emphasize behavioral health care in the program until it launched the second phase in July 2018. At that point, Colorado folded its specialized managed care program for behavioral health services into its accountable care program. Since 2018, Colorado has contracted directly with seven regional accountable entities (RAEs). Colorado assigns almost all Medicaid enrollees to a RAE (representing about 97 percent of Colorado’s 1.3 million Medicaid enrollees in July 2020).[9] RAEs support a local network of primary care medical providers (PCMPs), deliver behavioral health services, coordinate members’ care across systems, and are accountable for the cost and quality of care delivered to Medicaid members.
RAEs are paid through a combination of per member per month (PMPM) administrative payments, capitation, and incentive payments. RAEs receive $15.50 PMPM as an administrative payment. The Medicaid agency withholds $4 of each $15.50 to fund the Key Performance Indicator (KPI) payments. The Medicaid agency assigns each of seven KPI metrics a specific PMPM amount, and if a RAE produces sufficient improvement on the measure, it receives a payment based on the PMPM amount assigned to the measure. KPI payments are calculated and distributed each quarter. Unearned incentive payments are used to fund a challenge pool that is distributed based on performance in pursuing specified state policy priorities (e.g., collaboration with institutes of mental diseases or achieving progress on other performance metrics. RAEs also receive capitation payments for behavioral health services and are eligible to receive incentives tied to performance on a set of behavioral health measures. These payments are referred to as behavioral health incentive payments.
Both PCMPs and behavioral health providers must contract with a RAE in order to serve Medicaid enrollees. PCMPs receive fee-for-service payments from the Medicaid agency and administrative and incentive payments from the RAEs. Behavioral health providers contract with the RAEs and receive all payments directly from their RAE.
Minnesota’s Integrated Health Partnerships
Minnesota began its accountable care program in 2013. The state considered behavioral health when designing the initial phase of its program, but strengthened its behavioral health focus in Phase 2 of the program (IHP 2.0), which launched in January 2018. As of June 2020, Minnesota Medicaid contracts with 26 Integrated Health Partnerships (IHPs) that, together, serve 430,000 Medicaid and MinnesotaCare (Minnesota’s basic health plan) enrollees. IHPs are provider organizations. They and their associated providers receive payment for services from either the MCOs or the Medicaid fee-for-service system.
In addition, IHPs are paid through one of two payment models.
- Track 1 is intended for small, independent provider systems, specialty health care groups that coordinate care for specific groups of individuals, or a specific major portion of services (including primary care), or other systems unable to take on financial risk.
- Track 2 is only open to IHPs that serve more than 2,000 members and that are able to take on upside and downside risk (i.e., share in both savings and losses).
All IHPs (both tracks) receive a clinical and social risk-adjusted monthly population-based payment. In exchange, all IHPs must develop and implement specific health initiatives that address certain social risk factors that their patient populations are facing and achieve satisfactory performance on a set of quality and performance measures in order to continue to participate in the program. Both the initiative itself and the measures are negotiated between the individual IHP and the Medicaid agency. IHPs that participate under Track 2 also share in both savings and losses.
Savings and losses are calculated by comparing the actual total cost of care (TCOC) of the members attributed to the IHP with the members’ projected TCOC absent the IHP. If actual TCOC is less than projected, the difference is savings; if actual is more than projected, the difference is a loss. TCOC is defined to include the cost of providing most services. (See page 54 of Minnesota’s Integrated Health Partnerships Contract for a list of included services.)
The calculation of the amount of savings to be paid to the IHP or the amount of loss to be paid to the agency is based on multiple factors. First, the IHP is only eligible to share in any amount of savings or losses that fall within a negotiated risk corridor (e.g., 6 percent). All profit or loss outside the corridor belongs solely to the agency. The exact share of the amount within the risk corridor (e.g., the available savings) each IHP receives depends on two factors — the savings split it has negotiated with the agency and its performance in three domains (care quality, health information exchange, and alerting exchange).
But the share of losses depends only on the losses split negotiated with the agency and not its performance. The standard split is 50/50, meaning that IHPs can earn up to 50 percent of available savings and will pay 50 percent of available losses. But an IHP can secure a different split by entering into an accountable partnership with a community partner (e.g., a community mental health center [CMHC]) and negotiating a different split with the Medicaid agency — typically IHPs with an accountable partnership agree to take up to 70 percent of the available savings and pay 35 percent of available losses.
Rhode Island’s Accountable Entities
Rhode Island Medicaid began piloting its accountable care program in 2016 and launched its full program in July 2018 when it certified six comprehensive accountable entities (AEs). The Medicaid agency does not contract directly with its certified AEs. Instead, it requires Medicaid MCOs to contract with the AEs (and AEs to contract with MCOs). Each AE and MCO negotiate their own payment models within parameters set by the state. State officials shared that they have become more prescriptive on payment model as their and other stakeholders’ experience has grown and as the number of AEs (and thus the number of contracts that must be negotiated between MCOs and AEs and overseen by the state) grows. Both MCOs and AEs agreed on the need for increased standardization. Currently, all payment models must be based in TCOC calculated according to state requirements and MCOs must share up to 50 percent of any savings with AEs. AEs may accept shared losses if the Office of the Health Insurance Commissioner, which licenses commercial health plans, has determined that the AE is qualified to accept that risk. The amount of savings awarded to an AE must depend on the AE’s performance on at least three measures selected from a common measure set. State payment model parameters also govern how people are attributed to AEs.
In 2016, the Centers for Medicare & Medicaid (CMS) authorized the creation of AEs through approval of an amendment to Rhode Island’s Section 1115 Comprehensive Demonstration waiver. This amendment also authorized the state to create the Medicaid Infrastructure Incentive Program (MIIP) as a Designated State Health Program (DSHP). This designation, which CMS stopped awarding in 2017, authorized the state to receive, over the five-year period of November 2016 to December 2020, up to $129.8 million in federal funding to match state expenditures to support AE infrastructure development. In program Year 3, MCOs may earn up to $1.60 PMPM for each member attributed to a qualified AE. AEs may earn up to $8.44 PMPM by developing and completing projects that support the state’s goals, including those related to behavioral health. Actual payment is based on the achievement of performance milestones, most of which are negotiated between each AE and MCO, subject to state approval.[10]
Why States Included Behavioral Health in Accountable Care
“[In Rhode Island] managed care needed to evolve to be responsible for the needs of individuals with chronic conditions and needs. This pushed managed care to be more holistic across the board.”
Colorado, Minnesota, and Rhode Island chose to include behavioral health in their accountable care programs in order to improve chronic care, increase behavioral health integration, and produce cost savings. Officials from both Colorado and Rhode Island reported that that their new accountable care programs built on their previous efforts to strengthen primary care and better integrate behavioral health into primary care. Rhode Island officials explained that the primary care-centered approach worked well for individuals with moderate or low behavioral health needs, but the “needs of the other end of continuum also need to be considered.” Rhode Island believed that the structure of the accountable care program gave the CMHCs, which can better serve high need individuals, more opportunity to leverage their skills and strengths to be a resource for primary care. Eventually, this state would like to bring primary care to CMHCs in at least some of their AEs.
“Due to high spending for behavioral health on high utilizers, there is value in homing in on integrating physical and behavioral health from a savings perspective.” – Colorado official
Both Colorado and Rhode Island emphasize that behavioral health providers are well-positioned to engage patients with complex needs. Colorado officials also believe that RAEs’ structure, which makes them responsible for both primary and behavioral health care, would increase integration between the two types of services. Officials stated that the care coordination provided by CMHCs under its managed behavioral health program was strong. But they believed that folding the behavioral health program (and CMHCs) into their accountable care program fostered whole person care coordination for those with complex needs. They believed that increased integration and more holistic care coordination would lead to less fragmentation of care, create economies of scale, and, in turn, produce cost savings.
Colorado had also hoped that the RAEs would increase access to behavioral health services. This state has seen an increase in the proportion of Medicaid enrollees who receive one or more behavioral health services, and stakeholders are reporting that access and choice are both stronger.
How States Improve Behavioral Health through Accountable Care
All three states through their ACO contracts (Colorado and Minnesota) or certification standards (Rhode Island), consider performance on behavioral health measures in ACO payments. All three states also considered behavioral health in the performance requirements they created for their ACOs regarding network adequacy, care coordination and integration, and health information technology (HIT) supports. One or more of these states also called out behavioral health in the requirements they established in many other areas of performance.
Attribution
Attribution is the process used to identify the members of the defined population for which the ACO is accountable. All attribution processes consider where the patient has obtained care in the past. All three states featured in this brief first attribute Medicaid enrollees to a primary care provider (PCP) or a subset of PCPs who have met state-established qualifications. These states then consider each ACO to be “accountable” for the enrollees attributed to the providers affiliated with the ACO. All three states attribute enrollees with behavioral health conditions to a primary care provider, but only Minnesota currently considers behavioral health in that process. The first step of Minnesota’s process is to attribute Medicaid enrollees who have received services from a behavioral health home (or health care home) to the IHP with which that provider is affiliated.
Rhode Island had implemented a similar policy at program launch but now considers only primary care in attribution. Officials reported that they made this change because they determined that including attribution to an Integrated Health Home as the first step was difficult and time consuming. This, along with member churn impacted the state’s ability to confidently collect performance data. Additionally, Rhode Island found that many of the people served by integrated health homes were engaged in primary care with a separate provider.
Payment Models
As previously described, Colorado, Minnesota, and Rhode Island have each created a unique payment model for their ACOs. All three states, however, consider behavioral health performance in ACO payments and have established policies that foster consideration of behavioral health performance in payments to individual providers.
ACO Payment
Payment is considered to be the driving force to ensure ACO accountability for performance. All three states have tied ACO payment to behavioral health performance. Colorado’s RAEs may earn two types of incentive payments for performance. A RAE may earn incentives of up to $4 PMPM in key performance indicator (KPI) payments, which are primarily tied to the performance of the PCMP network. The RAE may also earn up to 5 percent of its behavioral health capitation rate (about $30 million) in behavioral health incentive (BHI) payments, which are primarily tied to the performance of the behavioral health network.
In both Minnesota and Rhode Island, ACOs may earn a share of the savings they produce — and are sometimes required to also share in any losses. Both of these states calculate savings and losses using a TCOC methodology. Both also include behavioral health services in the TCOC calculation, and Minnesota considers behavioral health services when calculating the monthly population-based payment that each of its IHPs also receives.
Regardless of their specific ACO payment model, all three states tie ACO payment to performance on a set of metrics that includes behavioral health measures, along with measures of other types of performance. In Colorado, performance on the metrics governs the amount of the incentives the RAEs earn. In Minnesota, performance on the metrics governs whether Track 1 IHPs may continue to participate in the program and whether Track 2 IHPs earn the full portion of their contracted share of any savings they produce. In Rhode Island, performance on the metrics governs what portion of savings are paid to the AE and how much the MCO may retain (and for those AEs that have been approved to accept downside risk, what portion of the losses they are required to pay to the MCO).
“Measures [in Rhode Island] were shaped by high-level goals of the organization and we wanted to make sure that there are mechanisms for balanced, useful data.”
There is little commonality between the behavioral health measures these states chose to factor into payment (Table 1). Only one measure is used by all three states – follow-up appointments within X days after an inpatient hospital discharge for a mental health condition, although even on this measure, states have made different choices as to when to specify seven-day follow-up and when to specify 30-day follow-up. Although there was little commonality between the specific measures used, there was some commonality regarding the domains to be measured. All three states included measures of engagement and follow-up.
When asked why they chose their specific measures, state interviewees uniformly reported that the choices were based on their goals for the program and stakeholder input. They also reported that the choices were informed by previous efforts.
- Rhode Island, for example, drew its measures from a common measure set created as part of the state’s State Innovation Model (SIM) initiative.
- Colorado emphasized that it considered areas that it knew had “room for improvement” and used measurement to create incentives for the RAEs to change that part of the system. For example, the state tied payment to “follow-up after a positive depression screen” in order to incent behavioral health and primary care integration. Further, Colorado sought to align its behavioral health (BHI) and primary care (KPI) payments to incentivize the same behavior across the program. As one official explained, “behavioral health is not in a silo, and requires the engagement of physical health as well.”
- Finally, this measure set is not static, Minnesota, for example, is currently phasing out its medication measures.
Table 1: Behavioral Health Measures that Factor into ACO Payments
| Colorado | Minnesota | Rhode Island | |
| Screening and Assessment | |||
| Screening for depression and follow-up plan | Some IHPs* | Optional | |
| Behavioral health screening or assessment for children in the foster care system | BHI | ||
| Developmental screening in first three years of life | Optional | ||
| Engagement and Follow-up | |||
| Initiation and engagement of alcohol and other drug abuse or dependence (AOD) treatment | Required | ||
| Engagement in outpatient substance use disorder (SUD) treatment | BHI | ||
| Behavioral health engagement: Percentage of members who received a behavioral health service delivered either in primary care settings or under the capitated behavioral health benefit within a 12-month evaluation period | KPI | ||
| Follow-up appointment within 7 or 30 days After an inpatient hospital discharge for a mental health condition | BHI; 7-day | Track 1: 7- or 30-day
Track 2: 30-day |
Required, opt for 7- or 30-day |
| Follow-up appointment within 7 days after an emergency department (ED) visit for a substance use disorder | BHI | ||
| Follow-up after a positive depression screen | BHI | Some IHPs* | |
| Medication | |||
| Antidepressant medication management: acute and continuous | Required | ||
| Adherence to antipsychotics for individuals with schizophrenia | Required | ||
Acronyms: BHI=behavioral health incentive payment; KPI=key performance indicator payment; IHP=Integrated Health Partnership.
*The measure is used if it is appropriate to the topic of the health intervention that the IHP and Minnesota Medicaid jointly select.
Colorado’s RAEs have increased the percent of Medicaid enrollees who receive behavioral health care.
To date, only Colorado has published a summary of ACO performance on the measures that factor into incentive payments. This state has seen some positive results. On the primary care side, payment is tied to behavioral health engagement. During the first year of program operation, the RAEs produced almost a two-percentage point increase in this metric. On the behavioral health side, Colorado established incentives for performance on five measures.
During the program’s first year of operation:
- All seven RAEs met performance improvement goals for engagement in outpatient SUD treatment and follow-up after a positive depression screening;
- Five met the goal for behavioral health assessment for children in the foster care system; and
- Four met the goals for follow-up from mental health inpatient stays and SUD emergency room visits.[11]
Although not yet complete, Rhode Island is conducting an evaluation of its program which, when complete, will shed more light on its program’s impact on behavioral health care.
Minnesota officials report that IHPs perform above average when compared to clinics and/or systems that are not IHPs, on many quality measures, including those related to diabetes, asthma, and vascular care. In terms of behavioral health metrics, IHPs perform better than non-IHPs on ensuring adolescents are screened for mental health issues. Additionally, those IHPs with health interventions with a behavioral health focus have seen some positive results, including high levels of relative improvement across years.
Payment to Individual Providers
Colorado and Rhode Island both sought to ensure that the individual providers, including behavioral health providers, affiliated with their ACOs would benefit from performance payments earned by the ACO. Colorado explicitly requires its RAEs to share any incentive payments the RAE receives with the providers who form the RAE’s health neighborhood, which consists of the providers (including behavioral health providers) and facilities that work with an individual’s PCMP to meet all of the person’s health needs. RAEs are also required to report all payment arrangements, including those with behavioral health providers to the Medicaid agency. Rhode Island does not require its AEs to share savings, but it does require the AEs to have documented relationships with behavioral health provider partners to meet their patients’ needs, and Rhode Island Medicaid envisions that some of those relationships will include shared savings. It also requires the AEs to share 10 percent of any incentive pool payments they receive with a partner organization, which may be a behavioral health provider.
Minnesota encourages its IHPs to implement accountable care partnerships by potentially rewarding the IHP with more favorable financial arrangements. For example, instead of receiving 50 percent of any savings, the IHP might receive 70 percent. An IHP can use this mechanism to also reduce the share of any losses that it must pay, and Medicaid officials report that it is this attribute that is often most attractive to the IHP. The financial arrangements are negotiated with each IHP. Minnesota offered an example of a potential partnership between an IHP and a CMHC. The CMHC agrees to provide behavioral health services to a targeted set of patients who screen positive for a behavioral health need. IHP-affiliated providers will screen patients, refer those who screen positive to the CMHC, and the CMHC will provide any needed services and ‘close the loop’ by providing information back to the referring provider. Minnesota Medicaid also negotiates the specific measures that will be used to judge the success of the partnership. In this case, that might include the number of patients that were screened for behavioral health needs divided by the total number of patients, or it could also include the total patients who received services divided by the total patients referred. Although there is no requirement that partners be paid, eligibility for a more favorable risk arrangement depends on several factors that encourage payment, including how well the partners are working together.
Finally, when it launched its accountable care program, Colorado Medicaid began directly paying PCMPs (i.e., primary care providers) for short-term behavioral health treatment (up to six visits) on a fee-for-service basis. Other behavioral health services are paid for by the RAEs. Colorado Medicaid had anticipated that this change would foster behavioral health integration and support then-existing partnerships between some federally qualified health centers (FQHCs) and CMHCs. As expected, this policy did improve access for patients with more mild behavioral health conditions. However, some FQHCs chose to withdraw from the partnerships and hire staff to provide the short-term services. Colorado Medicaid also found the policy more difficult to implement than anticipated, as the agency had to adjust the payments it made to the RAEs for behavioral health services to reflect that payment for some short-term services that would now be made by the agency.
ACO Performance Requirements
Colorado, Minnesota, and Rhode Island all complemented their payment reforms with performance requirements to help ensure that their ACOs were prepared to deliver accountable care and that savings would be produced by improving care rather than curtailing access. These three states all chose to address behavioral health in their ACO performance requirements governing provider network composition and access to services, care coordination, and health information technology.
Table 2: Performance Area Requirements
| Performance Area | Colorado | Minnesota | Rhode Island |
| Network and access to services | √ | √ | √ |
| Care coordination | √ | √ | √ |
| Health information technology | √ | √ | √ |
| Provider support | √ | √ | |
| Quality | √ | √ |
Network Composition and Access to Behavioral Health Services
All three states required their ACOs to include at least some behavioral health providers among their affiliated providers, although only two required contracts. Colorado required its RAEs to create a statewide behavioral health network and offer contracts to CMHCs and substance use disorder (SUD) clinics. Similarly, Minnesota’s IHPs must contract with CMHCs “to the extent possible,” and each AE in Rhode Island must demonstrate that they have sufficient partnerships with behavioral health providers to provide the population that the AE plans to serve with access to a range of treatment options that represent a continuum of care. Rhode Island officials reported that in the early years of their program, they required the AEs to partner with CMHCs. Now that many of the AE/CMHC partnerships are well-established, this performance standard has been broadened to count partnerships with all types of behavioral health providers, not just CMHCs. Rhode Island has broadened the requirement to include all behavioral health providers. These three states also established other performance expectations. For example, Rhode Island requires each AE to include a representative of a community-based behavioral health provider within its governance structure.
“Care coordination…with CMHCs was strong, but with the [primary care and behavioral health] combination there is more whole-person care coordination…”
Colorado officials reported that access to behavioral health services increased because those providers who had been delivering care through the specialty managed care program continued to deliver care as part of the RAEs’ networks, but the RAEs had expanded their independent provider network as well. Officials viewed this to be an overall positive outcome because both traditional providers (e.g., CMHCs) and independent providers who had not previously treated Medicaid enrollees were needed to meet the current Medicaid population’s full range of needs. However, some RAEs, especially those that hadn’t established some utilization review requirements, found that utilization of expensive services, such as inpatient services, increased. These RAEs are now working to ensure that the right utilization management is in place, and one aspect of that work is to assess whom the independent provider networks are serving and consider if that is the best place for those enrollees to receive care.
Care Coordination and Population Health Management
One of the hallmarks of accountable care is ensuring that patients’ needs are systematically identified and addressed, and that care is coordinated across systems and providers. All three states established policies for care coordination that addressed behavioral health issues.
- Minnesota used its IHP selection process to establish the expectation that IHPs should screen patients for behavioral health and chemical dependency conditions and that care coordination should feature “integration of medical/behavioral-chemical/social service community care coordination and planning.”
- Colorado’s contract with its RAEs defines care coordination to include coordination of behavioral health needs and then includes numerous requirements for care coordination. Because this state has also tasked its RAEs with delivering behavioral health care, it has created requirements for that system, including requiring RAEs to fund intensive case management from savings.
- Rhode Island’s certification standards require AE’s to have policies and procedures in place that support integration of physical, behavioral, and social supports.
“The important piece is that the expansion of the independent provider network [in Colorado] reshaped the landscape of services being performed while CMHCs remained in the game…”
Colorado and Rhode Island also created requirements to ensure that behavioral health was addressed at the population level by requiring their ACOs to prepare population health plans that address behavioral health issues. Rhode Island also includes requirements designed to ensure that the plan guides each AE’s population health management activities, including behavioral health integration that considers risk factors for poor behavioral (as well as physical) health outcomes.
Health Information Technology (HIT)
Data is key to systematically identifying and managing a population’s health needs, identifying gaps in care, and measuring health outcomes. Colorado, Minnesota, and Rhode Island took slightly different approaches to ensuring that providers had, and could use, data to improve delivery of behavioral health services.
- Minnesota provides clinical data, including behavioral health claims data, to IHPs on a monthly basis and requires IHPs to use the data to improve performance.
- Colorado also provides claims data to the RAEs and, in addition, emphasizes the use of electronic care coordination and other analytic tools. This state required each RAE to have a care coordination tool to help PCMPs and other providers, including behavioral health providers, coordinate care — and also required that the tool had to support “HIPAA and 42 CFR Part 2 compliant data sharing.” RAEs were additionally required to have other data analytic tools and to support providers use of the tools.
- Rhode Island established requirements for using analytic tools (decision-support tools) and is developing a dashboard for AEs that provides information about their performance on quality measures. In addition, this state requires AEs to include behavioral health provider contacts in patient registries.
Provider Support
“More [technical assistance] was needed in the beginning to help behavioral health providers understand workflow and [payment] models.”
Shifting to a new delivery and payment model can be difficult, even when providers voluntarily shift. Changing providers’ approaches to delivering care, including behavioral health care, to enable them to thrive under a new system can be particularly difficult. Colorado and Rhode Island both addressed these concerns in their accountable care programs but took very different approaches.
Colorado required its RAEs to provide the support. Each RAE was required to prepare and implement a provider support plan that addressed the RAE’s plan to help providers work toward behavioral health integration. Under these plans, RAEs offer providers access to care coordinators, practice transformation coaches, and ongoing training. They also offer in-person coaching and online support, including access to tools and resources for provider use.
Rhode Island’s MIIP, which is funded as a Designated State Health Program under the state’s 1115 waiver, paid for projects that support the providers associated with the AEs. Each AE develops projects to help build its capacity in specific areas, including some related to behavioral health, such as implementation of evidence-based behavioral health integration and consultation services.
Through this work, officials found that behavioral health providers, even more so than primary care providers, needed a better understanding of alternative payment methodologies (APMs) and how to manage their practices to thrive under these arrangements. Those that had not previously served Medicaid enrollees (e.g., independent behavioral health providers) had even greater technical assistance needs because they often also had to learn Medicaid policies and create new infrastructure. One state official noted the program would have benefited from a comprehensive assessment of providers’, including behavioral health providers, technical assistance needs well before program launch to identify and address critical gaps in provider understanding before they affected the program’s success.
Quality
One of the aims of accountable care programs is to hold providers accountable for the quality of care they deliver. Colorado and Rhode Island chose not only to hold their ACOs accountable by measuring the outcomes they produce on quality metrics, but also the process each ACO used to achieve quality. Rhode Island requires each AE to establish a quality committee to oversee the AE’s quality assurance and improvement program. This state requires that the committee membership include at least one licensed behavioral health clinician who is an AE participant.
Colorado’s requirements are based in Medicaid managed care requirements. Each RAE must conduct two performance improvement projects each year. One of these projects must address behavioral health, and RAEs may choose to dedicate both to improving integration of physical and behavioral health care. RAEs must also prepare quality plans that address behavioral health.
Lessons Learned and Conclusion
Officials from the three states advised those seeking to use ACOs to improve behavioral health services to seek and use stakeholder input, leverage infrastructure and relationships built during previous initiatives as well as the knowledge and experience of the providers currently serving Medicaid enrollees, and expect growing pains. In addition, an examination of these states’ experience finds three overarching takeaways.
States worked to strengthen the primary care system and integrate primary care and behavioral health before introducing accountability for behavioral health services. State officials in all three states used an iterative process to incorporate behavioral health services into their ACOs. Both Colorado and Minnesota waited to incorporate behavioral health until they had several years of experience operating their programs. Colorado officials stated that even when they were planning the first phase of their program, they knew that they ultimately wanted to include behavioral health. They did not do so at that time because they wanted to first focus on ensuring that the primary care aspects of their program were working well. They also knew that the shift to the new delivery system was going to require the reworking of a long-standing behavioral health services delivery structure and believed that making major simultaneous changes to both primary and behavioral health care would cause too much disruption. Rhode Island included behavioral health in its accountable care program from the beginning, but had a very strong, widespread patient centered medical home (PCMH) program in place prior to launching the accountable care program.
All three states had also previously worked to increase behavioral health integration. Rhode Island, for example, had funded an Integrated Behavioral Health Pilot (IBH) that supported primary care practices in incorporating co-located behavioral health clinicians into their operations. Minnesota had established a behavioral health home program to promote whole-person care. Colorado established learning collaboratives to help primary care and behavioral health providers develop the skills needed to support integration, such as creating a multidisciplinary team.
States adjusted program policies as their own and other stakeholders’ experience grew. Both Colorado and Rhode Island reported that they considered their programs to be iterative after launch. Rhode Island officials shared that, during the third year of the program, they began requiring MCOs to calculate shared savings in a specific way and allowed the AEs to earn up to 50 percent of the savings based on their performance. The Medicaid agency made this change due to feedback from both AE and MCOs about the difficulty of managing a growing number of contracts, each with potentially different financial arrangements. Increased standardization also eased the state’s oversight and monitoring. Rhode Island had anticipated that it would need to adjust its policies as its experience grew because the Medicaid agency was, as one official described, “Designing, building, and flying [the airplane] at the same time.”
A Colorado official similarly reported that, “Our program is iterative, and we continue to tweak and learn from it.” Recently, Colorado is encountering challenges related to COVID-19, including questions about how to integrate specialty providers and behavioral health.
States found that ACO leadership, like their associated providers, benefit from support. Officials recognized and planned for provider support, although some wished that they had offered more support. The states also knew that ACOs would need support in order to achieve success. They found that many ACO technical assistance needs were similar to those of providers. Some ACOs, like providers, needed a better understanding of the type of alternative payment models that could work for behavioral health providers. Rhode Island engaged a contractor to provide individual and group technical assistance to both MCOs and AEs — one focus of which was to support both as they entered into shared-risk contracts.
Colorado reported that some newer RAEs had moved back to fee-for-service reimbursement for behavioral health providers but were now working with CMHCs to develop more value-based payment arrangements. Also similar to providers, ACOs that had not previously served Medicaid enrollees had greater technical assistance needs. In Colorado, new RAEs were less familiar with Colorado Medicaid and its emphasis on community-based services. One official wished that the state had allowed sufficient time during implementation to support peer learning for new RAEs, perhaps through shadowing existing contractors, underscoring that education and collaboration were critical. Although Colorado found that new RAEs needed to improve their understanding of Medicaid policies, experienced RAEs needed to be “shaken up” to encourage continued engagement and innovation. Officials in this state worked to engage both newer and more experienced RAEs in peer learning. As one official stated, “When they [RAEs] first started, it was a competition. Now they meet and learn from each-other.”
Conclusion
In recent years, states have begun to use Medicaid accountable care programs to better integrate behavioral and physical health, improve identification and treatment of behavioral health conditions, and increase Medicaid enrollees’ access to behavioral health care. Examining the strategies and outcomes of three of these states offers others valuable information that they can apply to their own programs. All three states’ Medicaid agencies took different approaches to selecting and paying their ACOs, but all three based ACO payment in performance and established ACO performance standards — and considered behavioral health in both of these aspects of their programs. All interviewees reported that their programs were improving care but, to date, only Colorado has published a summary of ACO performance on the measures that factor into payment. This state has seen some positive results, including a modest increase by all RAEs in the percent of Medicaid enrollees receiving behavioral health services and follow-ups after a positive depression screening.
End Notes
[1] “Report to Congress on Medicaid and CHIP”, Medicaid and CHIP Payment and Access Commission, June, 2015.
[2] Roeber, C., McClellan, C., and Woodward, A. “Adults in Poor Physical Health Reporting Behavioral Health Conditions Have Higher Health Costs”, Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality, April 26, 2016.
https://www.samhsa.gov/data/sites/default/files/report_2107/ShortReport-2107.html
[3] Roberts, L.W., Louie, A.K., Guerrero, A.P.S. et al, “Premature Mortality Among People with Mental Illness: Advocacy in Academic Psychiatry”, Academic Psychiatry, June 5, 2017. Psychiatryhttps://link.springer.com/article/10.1007/s40596-017-0738-9
[4] Correll CU, Galling B, Pawar A, et al,“Comparison of Early Intervention Services vs Treatment as Usual for Early-Phase Psychosis: A Systematic Review, Meta-analysis, and Meta-regression, JAMA Psychiatry, June 2018. https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2679768
[5] “National Projections of Supply and Demand for Behavioral Health Practitioners: 2013-2025”, Health Resources and Services Administration, November, 2016. https://bhw.hrsa.gov/sites/default/files/bhw/health-workforce-analysis/research/projections/behavioral-health2013-2025.pdf
[6] E. McNichol and M. Leachman. States Continue to Face Large Shortfalls Due to COVID-19 Effects. Center on Budget and Policy Priorities. July 2020. https://www.cbpp.org/research/state-budget-and-tax/states-continue-to-face-large-shortfalls-due-to-covid-19-effects
[7] N. Panchel et al., The Implications of COVID-19 for Mental Health and Substance Use. Kaiser Family Foundation. April 2020. https://www.kff.org/coronavirus-covid-19/issue-brief/the-implications-of-covid-19-for-mental-health-and-substance-use/
[8] L Hamel, et al. KFF Health Tracking Poll – July 2020. https://www.kff.org/coronavirus-covid-19/report/kff-health-tracking-poll-july-2020/
[9] Colorado Department of Health Care Policy and Fib=nuancing. ACC Operational Dashboard. September 2020.https://www.colorado.gov/pacific/sites/default/files/ACC%20Phase%20II%20Operational%20Dashboard%20September%202020.xlsx
[10] Rhode Island EOHHS. Attachment K – Infrastructure Incentive Program: Requirements for Managed Care Organizations and Certified Accountable Entities. http://www.eohhs.ri.gov/Portals/0/Uploads/Documents/PY3Attach_K_Incentive_Program_Requirements_PY3_Final%20Updated%205.28.20%20for%20Web.pdf
[11] Colorado Department of Health Care Policy and Financing. Behavioral Health Incentive Program https://www.colorado.gov/pacific/sites/default/files/Accountable%20Care%20Collaborative%20Program%20Improvement%20Advisory%20Committee%20BHIP%20Preliminary%20Data%20Handout%20March%202020.pdf
Acknowledgements: The National Academy for State Health Policy (NASHP) would like to thank the state officials from Colorado, Minnesota, and Rhode Island who contributed to this brief as well as Health Resources and Services Administration Project Officer Carolyn Robbins and her colleagues for their feedback and guidance. The author also wishes to thank Trish Riley, Kitty Purington, Jodi Manz, and Kristina Long of NASHP for their contributions to the paper. This project was supported by the Health Resources and Services Administration (HRSA) of the US Department of Health and Human Services (HHS) under co-operative agreement number UD3OA22891, National Organizations of State and Local Officials. The information, content, and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS, or the US government.
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