Survey Highlights Differences In Medicaid Coverage For Substance Use Treatment And Opioid Use Disorder Medications

In case of emergency break glass: Reckoning with Project 2025

Public health nursing frequently finds itself at the nexus of community and politics. It is a precarious position, one that demands a keen understanding of how decisions made in the halls of power impact the most vulnerable among us. From gutting Medicaid and TANF to eroding protections for LGBTQ individuals and female-headed households, Project 2025 is an affront to public health nursing's moral foundation and professional ethos. This personal reflection challenges nurses to embrace their role as advocates for a more just and equitable society.

Impact of outpatient pharmacist dispensing in an opioid use disorder clinic

BACKGROUND

Medications for opioid use disorder are effective in reducing opioid deaths, but access can be an issue. Relocating an outpatient pharmacist for weekly buprenorphine dispensing in an outpatient clinic may facilitate coverage for buprenorphine and mitigate access and counseling barriers.

OBJECTIVES

This study aimed to evaluate whether staffing an outpatient resident pharmacist to dispense in the buprenorphine clinic had a positive impact on (1) mean cost per prescription charged to charity care and (2) basic elements of patient satisfaction with the on-site pharmacist.

METHODS

Patient demographics, buprenorphine formulation, insurance type, and uncovered costs were abstracted from dispensing records in the 16 weeks before the pharmacist clinic presence and 16 weeks with the pharmacist present. The difference in insurance types across the 2 periods was tested using a chi-square test, and the mean uncovered prescription costs charged to charity care for the 2 periods was compared using an independent-samples t test. A brief survey was administered while the pharmacist was on-site to evaluate satisfaction, which was analyzed with frequencies of "yes" responses and free-text comments.

RESULTS

A total of 38 patients received buprenorphine during both the pre- and postperiods. Once the pharmacist was on-site, more patients used Medicaid or private insurance, decreasing the mean uncovered cost per prescription from $55.00 (SD 68.7) to $36.97 (SD 60.1) (P = 0.002). Patients reported high levels of satisfaction with most reporting they were more likely to ask questions, pick up their prescriptions, and take their medicine with the pharmacist in the clinic.

CONCLUSIONS

The pharmacist successfully transitioned a portion of prescriptions previously covered by charity care to Medicaid or private insurance. This shift led to a decrease in charity care costs by $2950.20 and a reduction in the average uncovered cost per prescription. The pharmacist's presence in the clinic seemed to reduce barriers especially related to inconvenience.

Most States Allow Medicaid Managed Care Plans Discretion To Restrict Substance Use Disorder Treatment Benefits

Managed care plans, which contract with states to cover three-quarters of Medicaid enrollees, play a crucial role in addressing the drug epidemic in the United States. However, substance use disorder benefits vary across Medicaid managed care plans, and it is unclear what role states play in regulating their activities. To address this question, we surveyed thirty-three states and Washington, D.C., regarding their substance use disorder treatment coverage and utilization management requirements for Medicaid managed care plans in 2021. Most states mandated coverage of common forms of substance use disorder treatment and prohibited annual maximums and enrollee cost sharing in managed care. Fewer than one-third of states forbade managed care plans from imposing prior authorization for each treatment service. For most treatment medications, fewer than two-thirds of states prohibited prior authorization, drug testing, "fail first," or psychosocial therapy requirements in managed care. Our findings suggest that many states give managed care plans broad discretion to impose requirements on covered substance use disorder treatments, which may affect access to lifesaving care.

Reprint of: Impact of outpatient pharmacist dispensing in an opioid use disorder clinic

BACKGROUND

Medications for opioid use disorder are effective in reducing opioid deaths, but access can be an issue. Relocating an outpatient pharmacist for weekly buprenorphine dispensing in an outpatient clinic may facilitate coverage for buprenorphine and mitigate access and counseling barriers.

OBJECTIVES

This study aimed to evaluate whether staffing an outpatient resident pharmacist to dispense in the buprenorphine clinic had a positive impact on (1) mean cost per prescription charged to charity care and (2) basic elements of patient satisfaction with the on-site pharmacist.

METHODS

Patient demographics, buprenorphine formulation, insurance type, and uncovered costs were abstracted from dispensing records in the 16 weeks before the pharmacist clinic presence and 16 weeks with the pharmacist present. The difference in insurance types across the 2 periods was tested using a chi-square test, and the mean uncovered prescription costs charged to charity care for the 2 periods was compared using an independent-samples t test. A brief survey was administered while the pharmacist was on-site to evaluate satisfaction, which was analyzed with frequencies of "yes" responses and free-text comments.

RESULTS

A total of 38 patients received buprenorphine during both the pre- and postperiods. Once the pharmacist was on-site, more patients used Medicaid or private insurance, decreasing the mean uncovered cost per prescription from $55.00 (SD 68.7) to $36.97 (SD 60.1) (P = 0.002). Patients reported high levels of satisfaction with most reporting they were more likely to ask questions, pick up their prescriptions, and take their medicine with the pharmacist in the clinic.

CONCLUSIONS

The pharmacist successfully transitioned a portion of prescriptions previously covered by charity care to Medicaid or private insurance. This shift led to a decrease in charity care costs by $2950.20 and a reduction in the average uncovered cost per prescription. The pharmacist's presence in the clinic seemed to reduce barriers especially related to inconvenience.

The Impact of State Medicaid Eligibility and Benefits Policy on Neonatal Abstinence Syndrome Hospitalizations

Rates of neonatal abstinence syndrome (NAS) resulting from opioid misuse are rising. However, policies to treat opioid misuse during pregnancy are unclear. We apply a difference-in-differences design to national pediatric discharge records to examine the effects of state Medicaid policies on NAS. Among states in which Medicaid covered two clinically-recommended medications for treating opioid misuse (buprenorphine, methadone), the Affordable Care Act's Medicaid expansion reduced Medicaid-covered NAS hospitalizations. Medicaid expansion did not affect NAS hospitalizations in other expansion states. These findings imply a nuanced relationship between Medicaid policy and NAS that should be considered in addressing opioid misuse among pregnant women.

Disparities in fatal and non-fatal opioid-involved overdoses among middle-aged non-Hispanic Black Men and Women

The gap in fatal opioid overdose rates has been closing between non-Hispanic Black and non-Hispanic White individuals. The rising opioid-involved mortality rates among non-Hispanic Black adults has been identified by SAMHSA as a critical public health issue. However, further research is needed that utilizes comprehensive surveillance data on both fatal and non-fatal opioid-involved overdoses to better assess the changing trends and evaluate factors contributing to changing disparities. We conducted an analysis of medical examiner and hospital data for years 2016-2021 from the largest county in Illinois (Cook) to (1) evaluate disparities in non-fatal and fatal opioid-involved overdoses between middle-aged non-Hispanic Black adults and Black adults of other age groups stratified by sex, (2) to assess if disparities exist across middle-aged adults of different race-ethnicities specifically non-Hispanic White and Hispanic-Latino adults, and (3) evaluate factors contributing to the disparities. Fatal opioid overdose rates among middle-aged Black men 45-64 years old were on average 5.3 times higher than Black men of other age groups, and 6.2 times higher than middle-aged non-Black men. Similarly, fatal opioid overdose rates among middle-aged Black women were on average 5.0 times higher than Black women of other age groups, and 4.9 times higher than middle-aged non-Black women. Hospital utilization rates for opioid-involved overdoses showed similar disparities between age groups and race-ethnicities. Findings indicate that stark disparities in rates of opioid-involved overdoses among middle-aged Black men and women are likely attributed to exposure to more lethal opioids, drug variability in local markets, differences in concurrent drug exposures, and lower access to harm reduction, emergent and preventative health services.

County-level Factors and Treatment Access Among Insured Women With Opioid Use Disorder

BACKGROUND

An over 40% increase in overdose deaths within the past 2 years and low levels of engagement in treatment call for a better understanding of factors that influence access to medication for opioid use disorder (OUD).

OBJECTIVE

To examine whether county-level characteristics influence a caller's ability to secure an appointment with an OUD treatment practitioner, either a buprenorphine-waivered prescriber or an opioid treatment program (OTP).

RESEARCH DESIGN AND SUBJECTS

We leveraged data from a randomized field experiment comprised of simulated pregnant and nonpregnant women of reproductive age seeking treatment for OUD among 10 states in the US. We employed a mixed-effects logistic regression model with random intercepts for counties to examine the relationship between appointments received and salient county-level factors related to OUD.

MEASURES

Our primary outcome was the caller's ability to secure an appointment with an OUD treatment practitioner. County-level predictor variables included socioeconomic disadvantage rankings, rurality, and OUD treatment/practitioner density.

RESULTS

Our sample comprised 3956 reproductive-aged callers; 86% reached a buprenorphine-waivered prescriber and 14% an OTP. We found that 1 additional OTP per 100,000 population was associated with an increase (OR=1.36, 95% CI: 1.08 to 1.71) in the likelihood that a nonpregnant caller receives an OUD treatment appointment from any practitioner.

CONCLUSIONS

When OTPs are highly concentrated within a county, women of reproductive age with OUD have an easier time securing an appointment with any practitioner. This finding may suggest greater practitioners' comfort in prescribing when there are robust OUD specialty safety nets in the county.

Changes in Medicaid Fee-for-Service Benefit Design for Substance Use Disorder Treatment During the Opioid Crisis, 2014 to 2021

Importance

Medicaid is the largest payer of substance use disorder treatment in the US and plays a key role in responding to the opioid epidemic. However, as recently as 2017, many state Medicaid programs still did not cover the full continuum of clinically recommended care.

Objective

To determine whether state Medicaid fee-for-service (FFS) programs have expanded coverage and loosened restrictions on access to substance use disorder treatment in recent years.

Design, Setting, and Participants

In 2014, 2017, and 2021, a survey on coverage for substance use disorder treatment was conducted among state Medicaid programs and the District of Columbia with FFS programs. This survey was completed by Medicaid program directors or knowledgeable staff. Data analysis was performed in 2022.

Main Outcomes and Measures

The following were calculated for a variety of substance use disorder treatment services (individual and group outpatient, intensive outpatient, short-term and long-term residential, recovery support, inpatient treatment and detoxification, and outpatient detoxification) and medications (methadone, oral and injectable naltrexone, and buprenorphine): (1) the percentage of Medicaid FFS programs covering these services and medications and (2) the percentage of Medicaid FFS programs using utilization management policies, such as copayments, prior authorizations, and annual maximums.

Results

This study had response rates of 92% in 2014 and 2017 (47 of 51 states) and 90% in 2021 (46 of 51 states). For the 2021 wave, data are reported for the 38 non-managed care organization plan-only states. Between 2017 and 2021, coverage of individual and group outpatient treatment increased to 100% of states, and use of annual maximums for medications decreased to 3% or less (n ≤ 1). However, important gaps in coverage persisted, particularly for more intensive services: 10% of Medicaid FFS programs (n = 4) did not cover intensive outpatient treatment, 13% (n = 5) did not cover short-term residential care, and 33% (n = 13) did not cover long-term residential care. Use of utilization controls, such as copays, prior authorizations, and annual maximums, decreased but continued to be widespread.

Conclusions and Relevance

In this survey study of state Medicaid FFS programs, increases in coverage and decreases in use of utilization management policies over time were observed for substance use disorder treatment and medications. However, these findings suggest that some states still lag behind and impose barriers to treatment. Future research should work to identify the long-term ramifications of these barriers for patients.

How Does Medicaid Managed Care Address the Needs of Beneficiaries with Opioid Use Disorders? A Deep Dive into Contract Design

Many people who experience opioid use disorder rely on Medicaid. The high penetration of managed care systems into Medicaid raises the importance of understanding states' expectations regarding coverage, access to care, and health system performance and effectively elevates agreements between states and plans into blueprints for coverage and care. Federal law broadly regulates these structured agreements while leaving a high degree of discretion to states and plans. In this study, researchers reviewed the provisions of 15 state Medicaid managed care contract related to substance use disorder (SUD) treatment to identify whether certain elements of SUD treatment were a stated expectation and the extent to which the details of those expectations varied across states in ways that ultimately could affect evaluation of performance and health outcomes. We found that while all states include SUD treatment as a stated contract expectation, discussions around coverage of specific services and nationally recognized guidelines varied. These variations reflect key state choices regarding how much deference to afford their plans in coverage design and plan administration and reveal important differences in purchasing expectations that could carry implications for efforts to examine similarities and differences in access, quality, and health outcomes within managed care across the states.

State- and County-Level Geographic Variation in Opioid Use Disorder, Medication Treatment, and Opioid-Related Overdose Among Medicaid Enrollees

Importance

The opioid crisis disproportionately affects Medicaid enrollees, yet little systematic evidence exists regarding how prevalence of and health care utilization for opioid use disorder (OUD) vary across geographical areas.

Objectives

To characterize state- and county-level variation in claims-based prevalence of OUD and rates of medication treatment for OUD and OUD-related nonfatal overdose among Medicaid enrollees.

Design, Setting, and Participants

This cross-sectional study used data from the Transformed Medicaid Statistical Information System Analytic Files from January 1, 2016, to December 31, 2018. Participants were Medicaid enrollees with or without OUD in 46 states; Washington, DC; and Puerto Rico who were aged 18 to 64 years and not dually enrolled in Medicare. The analysis was conducted between September 2022 and April 2023.

Exposure

Calendar-year OUD prevalence.

Main Outcomes and Measures

The main outcomes were claims-based measures of OUD prevalence and rates of medication treatment for OUD and opioid-related nonfatal overdose. Individual records were aggregated at the state and county level, and variation was assessed within and across states.

Results

Of the 76 390 817 Medicaid enrollee-year observations included in our study (mean [SD] enrollee age, 36.5 [1.6] years; 59.0% female), 2 280 272 (3.0%) had a claims-based OUD (mean [SD] age, 38.9 [3.6] years; 51.4% female). Of enrollees with OUD, 41.2% were eligible due to Medicaid expansion, 46.4% had other substance use disorders, 55.8% had mental health conditions, 55.2% had claims indicating some form of OUD medication, and 5.8% had claims indicating an overdose during a calendar year. Claims-based outcomes exhibited substantial variation across states: OUD prevalence ranged from 0.6% in Arkansas and Puerto Rico to 9.7% in Maryland, rates of OUD medication treatment ranged from 17.7% in Kansas to 82.8% in Maine, and rates of overdose ranged from 0.3% in Mississippi to 10.5% in Illinois. Pronounced variation was also found within states (eg, OUD prevalence in Maryland ranged from 2.2% in Prince George's County to 21.6% in Cecil County).

Conclusions and Relevance

In this cross-sectional study of Medicaid enrollees from 2016 to 2018, claims-based prevalence of OUD and rates of OUD medication treatment and opioid-related overdose varied substantially across and within states. Further research appears to be needed to identify important factors influencing this variation.

Measurement Approaches to Estimating Methadone Continuity in Opioid Use Disorder Care

BACKGROUND

Long-term treatment with medications for opioid use disorder (OUD), including methadone, is lifesaving. There has been little examination of how to measure methadone continuity in claims data.

OBJECTIVES

To develop an approach for measuring methadone continuity in claims data, and compare estimates of methadone versus buprenorphine continuity.

RESEARCH DESIGN

Observational cohort study using de-identified commercial claims from OptumLabs Data Warehouse (January 1, 2017-June 30, 2021).

SUBJECTS

Individuals diagnosed with OUD, ≥1 methadone or buprenorphine claim and ≥180 days continuous enrollment (N=29,633).

MEASURES

OUD medication continuity: months with any use, days of continuous use, and proportion of days covered.

RESULTS

5.4% (N=1607) of the study cohort had any methadone use. Ninety-seven percent of methadone claims (N=160,537) were from procedure codes specifically used in opioid treatment programs. Place of service and primary diagnosis codes indicated that several methadone procedure codes were not used in outpatient OUD care. Methadone billing patterns indicated that estimating days-supply based solely on dates of service and/or procedure codes would yield inaccurate continuity results and that an approach incorporating the time between service dates was more appropriate. Among those using methadone, mean [s.d.] months with any use, days of continuous use, and proportion of days covered were 4.8 [1.8] months, 79.7 [73.4] days, and 0.64 [0.36]. For buprenorphine, the corresponding continuity estimates were 4.6 [1.9], 80.7 [70.0], and 0.73 [0.35].

CONCLUSIONS

Estimating methadone continuity in claims data requires a different approach than that for medications largely delivered by prescription fills, highlighting the importance of consistency and transparency in measuring methadone continuity across studies.

Medication-Assisted Treatment in Problem-solving Courts: A National Survey of State and Local Court Coordinators

Problem-solving courts (PSCs) are a critical part of a societal effort to mitigate the opioid epidemic's devastating consequences. This paper reports on a national survey of PSCs (N = 42 state-wide court coordinators; N = 849 local court coordinators) and examines the structural factors that could explain the likelihood of a local PSC authorizing medication-assisted treatment (MAT) and MAT utilization. Results of the analyses indicate that MAT availability at the county level was a significant predictor of the likelihood of local courts authorizing MAT. The court's location in a Medicaid expansion state was also a significant predictor of local courts allowing buprenorphine and methadone, but not naltrexone. Problem-solving courts are in the early stages of supporting the use of medications, even when funding is available through Medicaid expansion policies. Adoption and use of treatment innovations like MAT are affected by coordinators' perceptions of MAT as well as structural factors such as the availability of the medications in the community and funding resources. The study has important implications for researchers, policymakers, and practitioners.

A Descriptive Study on Opioid Misuse Prevalence and Office-Based Buprenorphine Access in Ohio Prior to the Removal of the Drug Addiction Treatment Act of 2000 Waiver

Background Medications for the treatment of opioid use disorder (MOUD) are effective evidence-based strategies to reduce opioid overdose deaths. Strategies to optimize MOUD availability and uptake are needed. Objective We aim to describe the spatial relationship between the estimated prevalence of opioid misuse and office-based buprenorphine access in the state of Ohio prior to the removal of the Drug Addiction Treatment Act of 2000 (DATA 2000) waiver requirement. Methods We conducted a descriptive ecological study of county-level (N=88) opioid misuse prevalence and office-based buprenorphine prescribing access in Ohio in 2018. Counties were categorized into urban (with and without a major metropolitan area) and rural. The county-level prevalence estimates of opioid misuse per 100,000 were derived from integrated abundance modeling. Utilizing data from the Ohio Department of Mental Health and Addiction Services, as well as the state's Physician Drug Monitoring Program (PDMP), buprenorphine access per 100,000 was estimated by the number of patients in each county that could be served by office-based buprenorphine (prescribing capacity) and the number of patients served by office-based buprenorphine (prescribing frequency) for opioid use disorder. The ratios of opioid misuse prevalence to both prescribing capacity and frequency were calculated by county and mapped. Results Less than half of the 1,828 waivered providers in the state of Ohio in 2018 were prescribing buprenorphine, and 25% of counties had no buprenorphine access. The median estimated opioid misuse prevalence and buprenorphine prescribing capacity per 100,000 were highest in urban counties, particularly those with a major metropolitan area. Although the median estimated opioid misuse prevalence was lower in rural counties, all counties in the highest quartile of estimated misuse prevalence were rural. In addition, the median buprenorphine prescribing frequency was highest in rural counties. While the ratio of opioid misuse prevalence to buprenorphine prescribing capacity was lowest in urban counties, the ratio of opioid misuse prevalence to buprenorphine prescribing frequency was lowest in rural counties. Opioid misuse prevalence and buprenorphine prescribing frequency demonstrated similar spatial patterns, with highest levels in the southern and eastern portions of the state, while office-based buprenorphine prescribing capacity did not. Conclusion Urban counties had higher buprenorphine capacity relative to their burden of opioid misuse; however, access was limited by buprenorphine prescribing frequency. In contrast, in rural counties, a minimal gap was evident between prescribing capacity and frequency, suggesting that buprenorphine prescribing capacity was the major factor limiting access. While the recent deregulation of buprenorphine prescribing should help improve buprenorphine access, future research should investigate whether deregulation similarly impacts buprenorphine prescribing capacity and buprenorphine prescribing frequency.

Tailoring dissemination strategies to increase evidence-informed policymaking for opioid use disorder treatment: study protocol

BACKGROUND

Policy is a powerful tool for systematically altering healthcare access and quality, but the research to policy gap impedes translating evidence-based practices into public policy and limits widespread improvements in service and population health outcomes. The US opioid epidemic disproportionately impacts Medicaid members who rely on publicly funded benefits to access evidence-based treatment including medications for opioid use disorder (MOUD). A myriad of misaligned policies and evidence-use behaviors by policymakers across federal agencies, state Medicaid agencies, and managed care organizations limit coverage of and access to MOUD for Medicaid members. Dissemination strategies that improve policymakers' use of current evidence are critical to improving MOUD benefits and reducing health disparities. However, no research describes key determinants of Medicaid policymakers' evidence use behaviors or preferences, and few studies have examined data-driven approaches to developing dissemination strategies to enhance evidence-informed policymaking. This study aims to identify determinants and intermediaries that influence policymakers' evidence use behaviors, then develop and test data-driven tailored dissemination strategies that promote MOUD coverage in benefit arrays.

METHODS

Guided by the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework, we will conduct a national survey of state Medicaid agency and managed care organization policymakers to identify determinants and intermediaries that influence how they seek, receive, and use research in their decision-making processes. We will use latent class methods to empirically identify subgroups of agencies with distinct evidence use behaviors. A 10-step dissemination strategy development and specification process will be used to tailor strategies to significant predictors identified for each latent class. Tailored dissemination strategies will be deployed to each class of policymakers and assessed for their acceptability, appropriateness, and feasibility for delivering evidence about MOUD benefit design.

DISCUSSION

This study will illuminate key determinants and intermediaries that influence policymakers' evidence use behaviors when designing benefits for MOUD. This study will produce a critically needed set of data-driven, tailored policy dissemination strategies. Study results will inform a subsequent multi-site trial measuring the effectiveness of tailored dissemination strategies on MOUD benefit design and implementation. Lessons from dissemination strategy development will inform future research about policymakers' evidence use preferences and offer a replicable process for tailoring dissemination strategies.

Association of Medicaid expansion and 1115 waivers for substance use disorders with hospital provision of opioid use disorder services: a cross sectional study

INTRODUCTION

Opioid-related hospitalizations have risen dramatically, placing hospitals at the frontlines of the opioid epidemic. Medicaid expansion and 1115 waivers for substance use disorders (SUDs) are two key policies aimed at expanding access to care, including opioid use disorder (OUD) services. Yet, little is known about the relationship between these policies and the availability of hospital based OUD programs. The aim of this study is to determine whether state Medicaid expansion and adoption of 1115 waivers for SUDs are associated with hospital provision of OUD programs.

METHODS

We conducted a cross-sectional study of a random sample of hospitals (n = 457) from the American Hospital Association's 2015 American Hospital Directory, compiled with the most recent publicly available community health needs assessment (2015-2018).

RESULTS

Controlling for hospital characteristics, overdose burden, and socio-demographic characteristics, both Medicaid policies were associated with hospital adoption of several OUD programs. Hospitals in Medicaid expansion states had significantly higher odds of implementing any program related to SUDs (OR: 1.740; 95% CI: 1.032-2.934) as well as some specific activities such as programs for OUD treatment (OR: 1.955; 95% CI: 1.245-3.070) and efforts to address social determinants of health (OR: 6.787; 95% CI: 1.308-35.20). State 1115 waivers for SUDs were not significantly associated with any hospital-based SUD activities.

CONCLUSIONS

Medicaid expansion was associated with several hospital programs for addressing OUD. The differential availability of hospital-based OUD programs may indicate an added layer of disadvantage for low-income patients with SUD living in non-expansion states.

Predictors of Health in Substance Use Disorder Recovery: Economic Stability in Residential Aftercare Environments

The exit from active substance use presents barriers to achieving and maintaining health, especially as individuals lack the economic resources to afford healthcare access. Treatment settings that strengthen resources may support stability in recovery and influence health. Analyzing a sample of recovery home residents over two years (N = 494), the current study assessed individually held resources (e.g., wages, employment) and the average economic conditions of a resident's house (e.g., house employment rate) to understand their association with self-reported health status. Employment status, but not wages or transportation access, was associated with reported health scores. The average employment rate of a recovery home was also positively correlated with the health of its residents. Results indicate the need to address employment and other economic issues which plague recovering individuals. Community aftercare settings may offer such a pathway through affordable housing, employment opportunities, and supportive relationships.

Not in my treatment center: Leadership's perception of barriers to MOUD adoption

INTRODUCTION

Despite their well-established effectiveness, medications for opioid use disorder (MOUD) are widely underutilized across the United States. In the context of a large publicly funded behavioral health system, we examined the relationship between a range of implementation barriers and a substance use disorder treatment agency's level of adoption of MOUD.

METHODS

We surveyed leadership of publicly funded substance use disorder treatment centers in Philadelphia about the significance of barriers to implementing MOUD related to their workforce, organization, funding, regulations, and beliefs about MOUD's efficacy and safety. We queried leaders on the percentage of their patients with opioid use disorder who receive MOUD and examined associations between implementation barriers and MOUD adoption.

RESULTS

Ratings of regulatory, organizational, or funding barriers of respondents who led high MOUD adopting agencies (N = 20) were indistinguishable from those who led agencies that were low adopting of MOUD (N = 23). In contrast, agency leaders who denied MOUD-belief or workforce barriers were significantly more likely to lead high-MOUD-adopting organizations.

CONCLUSIONS

These findings suggest that leadership beliefs about MOUD may be a key factor of the organizational decision to adopt and should be a target of implementation efforts to increase direct provision of these medications.

Coverage and Prior Authorization Policies for Medications for Opioid Use Disorder in Medicaid Managed Care

Importance

Medicaid is a key policy lever to improve opioid use disorder treatment, covering approximately 40% of Americans with opioid use disorder. Although approximately 70% of Medicaid beneficiaries are enrolled in comprehensive managed care organization (MCO) plans, little is known about coverage and prior authorization (PA) policies for medications for opioid use disorder (MOUD) in these plans.

Objective

To compare coverage and PA policies for buprenorphine, methadone, and injectable naltrexone across Medicaid MCO plans and fee-for-service (FFS) programs and across states.

Design, Setting, and Participants

This cross-sectional study analyzed MOUD data from 266 Medicaid MCO plans and FFS programs in 38 states and the District of Columbia in 2018.

Main Outcomes and Measures

For each medication, the percentages of MCO plans and FFS programs that covered the medication without PA, covered the medication with PA, and did not cover the medication were calculated, as were the percentages of MCO, FFS, and all (MCO and FFS) beneficiaries who were covered with no PA, covered with PA, and not covered. In addition, MCO plan coverage and PA policies were mapped by state. Analyses were conducted from January 1 through May 31, 2022.

Results

Coverage and PA policies were compared for MOUD in 266 MCO plans and 39 FFS programs, representing approximately 70 million Medicaid beneficiaries. Overall, FFS programs had more generous MOUD coverage than MCO plans. However, a higher percentage of FFS programs imposed PA for the 3 medications (47.0%) than did MCOs (35.9%). Furthermore, although most Medicaid beneficiaries were enrolled in a plan that covered MOUD, 53.2% of all MCO- and FFS-enrolled beneficiaries were subject to PA. Results also showed wide state variation in MCO plan coverage and PA policies for MOUD and the percentage of Medicaid beneficiaries subject to PA.

Conclusions and Relevance

This cross-sectional study found variation in MOUD coverage and PA policies across Medicaid MCO plans and FFS programs and across states. Thus, Medicaid beneficiaries' access to MOUD may be heavily influenced by their state of residency and the Medicaid plan in which they are enrolled. Left unaddressed, PA policies are likely to remain a barrier to MOUD access in the nation's Medicaid programs.

Expert Panel Consensus on State-Level Policies to Improve Engagement and Retention in Treatment for Opioid Use Disorder

Importance

In the US, recent legislation and regulations have been considered, proposed, and implemented to improve the quality of treatment for opioid use disorder (OUD). However, insufficient empirical evidence exists to identify which policies are feasible to implement and successfully improve patient and population-level outcomes.

Objective

To examine expert consensus on the effectiveness and the ability to implement state-level OUD treatment policies.

Evidence Review

This qualitative study used the ExpertLens online platform to conduct a 3-round modified Delphi process to convene 66 stakeholders (health care clinicians, social service practitioners, addiction researchers, health policy decision-makers, policy advocates, and persons with lived experience). Stakeholders participated in 1 of 2 expert panels on 14 hypothetical state-level policies targeting treatment engagement and linkage, evidence-based and integrated care, treatment flexibility, and monitoring or support services. Participants rated policies in round 1, discussed results in round 2, and provided final ratings in round 3. Participants used 4 criteria associated with either the effectiveness or implementability to rate and discuss each policy. The effectiveness panel (n = 29) considered policy effects on treatment engagement, treatment retention, OUD remission, and opioid overdose mortality. The implementation panel (n = 34) considered the acceptability, feasibility, affordability, and equitability of each policy. We measured consensus using the interpercentile range adjusted for symmetry analysis technique from the RAND/UCLA appropriateness method.

Findings

Both panels reached consensus on all items. Experts viewed 2 policies (facilitated access to medications for OUD and automatic Medicaid enrollment for citizens returning from correctional settings) as highly implementable and highly effective in improving patient and population-level outcomes. Participants rated hub-and-spoke-type policies and provision of financial incentives to emergency departments for treatment linkage as effective; however, they also rated these policies as facing implementation barriers associated with feasibility and affordability. Coercive policies and policies levying additional requirements on individuals with OUD receiving treatment (eg, drug toxicology testing, counseling requirements) were viewed as low-value policies (ie, decreasing treatment engagement and retention, increasing overdose mortality, and increasing health inequities).

Conclusions and Relevance

The findings of this study may provide urgently needed consensus on policies for states to consider either adopting or deimplementing in their efforts to address the opioid overdose crisis.

Prescription quantity and duration predict progression from acute to chronic opioid use in opioid-naïve Medicaid patients

Opiates used for acute pain are an established risk factor for chronic opioid use (COU). Patient characteristics contribute to progression from acute opioid use to COU, but most are not clinically modifiable. To develop and validate machine-learning algorithms that use claims data to predict progression from acute to COU in the Medicaid population, Adult opioid naïve Medicaid patients from 6 anonymized states who received an opioid prescription between 2015 and 2019 were included. Five machine learning (ML) Models were developed, and model performance assessed by area under the receiver operating characteristic curve (auROC), precision and recall. In the study, 29.9% (53820/180000) of patients transitioned from acute opioid use to COU. Initial opioid prescriptions in COU patients had increased morphine milligram equivalents (MME) (33.2 vs. 23.2), tablets per prescription (45.6 vs. 36.54), longer prescriptions (26.63 vs 24.69 days), and higher proportions of tramadol (16.06% vs. 13.44%) and long acting oxycodone (0.24% vs 0.04%) compared to non- COU patients. The top performing model was XGBoost that achieved average precision of 0.87 and auROC of 0.63 in testing and 0.55 and 0.69 in validation, respectively. Top-ranking prescription-related features in the model included quantity of tablets per prescription, prescription length, and emergency department claims. In this study, the Medicaid population, opioid prescriptions with increased tablet quantity and days supply predict increased risk of progression from acute to COU in opioid-naïve patients. Future research should evaluate the effects of modifying these risk factors on COU incidence.

How Do Medicaid Agencies Improve Substance Use Treatment Benefits? Lessons from Three States' 1115 Waiver Experiences

CONTEXT

In 2015, the Centers for Medicare and Medicaid Services (CMS) urged state Medicaid programs to use 1115 waiver demonstrations to expand substance use treatment benefits. We analyzed four critical points in states' decision-making processes before expanding benefits.

METHODS

We conducted qualitative cross-case comparison of three states that were early adopters of the 1115 waiver request. We conducted 44 interviews with key informants from CMS, Medicaid, and other state agencies, providers, and managed care organizations.

FINDINGS

Policy makers expanded substance use treatment in response to "fragmented" care systems and unsustainable funding streams. Medicaid staff had mixed preferences for implementing new benefits via 1115 waivers or state plan amendments. The 1115 waiver process enabled states to provide coverage for residential benefits, but state plan amendments made other services permanent parts of the benefit. Medicaid agencies relied on interorganizational networks to identify evidence-based practices. Medicaid staff secured legislative support for reform by focusing on program integrity concerns and downstream effects of substance use rather than Medicaid beneficiaries' needs.

CONCLUSIONS

Decision-making processes were influenced by Medicaid agency characteristics and interorganizational partnerships, not federal executive branch influence. Lessons from early-adopter states provide a road map for other state Medicaid agencies considering similar reform.

National Prevalence of Alcohol and Other Substance Use Disorders Among Emergency Department Visits and Hospitalizations: NHAMCS 2014-2018

BACKGROUND

Acute healthcare utilization attributed to alcohol use disorders (AUD) and other substance use disorders (SUD) is rising.

OBJECTIVE

To describe the prevalence and characteristics of emergency department (ED) visits and hospitalizations made by adults with AUD or SUD.

DESIGN, SETTING, AND PARTICIPANTS

Observational study with retrospective analysis of the National Hospital Ambulatory Medical Care Survey (2014 to 2018), a nationally representative survey of acute care visits with information on the presence of AUD or SUD abstracted from the medical chart.

MAIN MEASURES

Outcome measured as the presence of AUD or SUD.

KEY RESULTS

From 2014 to 2018, the annual average prevalence of AUD or SUD was 9.4% of ED visits (9.3 million visits) and 11.9% hospitalizations (1.4 million hospitalizations). Both estimates increased over time (30% and 57% relative increase for ED visits and hospitalizations, respectively, from 2014 to 2018). ED visits and hospitalizations from individuals with AUD or SUD, compared to individuals with neither AUD nor SUD, had higher percentages of Medicaid insurance (ED visits: AUD: 33.1%, SUD: 35.0%, neither: 24.4%; hospitalizations: AUD: 30.7%, SUD: 36.3%, neither: 14.8%); homelessness (ED visits: AUD: 6.2%, SUD 4.4%, neither 0.4%; hospitalizations: AUD: 5.9%, SUD 7.3%, neither: 0.4%); coexisting depression (ED visits: AUD: 26.3%, SUD 24.7%, neither 10.5%; hospitalizations: AUD: 33.5%, SUD 35.3%, neither: 13.9%); and injury/trauma (ED visits: AUD: 51.3%, SUD 36.3%, neither: 26.4%; hospitalizations: AUD: 31.8%, SUD: 23.8%, neither: 15.0%).

CONCLUSIONS

In this nationally representative study, 1 in 11 ED visits and 1 in 9 hospitalizations were made by adults with AUD or SUD, and both increased over time. These estimates are higher or similar than previous national estimates using claims data. This highlights the importance of identifying opportunities to address AUD and SUD in acute care settings in tandem with other medical concerns, particularly among visits presenting with injury, trauma, or coexisting depression.

Psychosocial and behavioral therapy in conjunction with medication for opioid use disorder: Patterns, predictors, and association with buprenorphine treatment outcomes

INTRODUCTION

Current evidence indicates that buprenorphine is a highly effective treatment for opioid use disorder (OUD), though premature medication discontinuation is common. Research on concurrent psychosocial and behavioral therapy services and related outcomes is limited. The goal of this study was to define patterns of OUD-related psychosocial and behavioral therapy services received in the first 6 months after buprenorphine initiation, identify patients' characteristics associated with service patterns, and examine the course of buprenorphine treatment, including the association of therapy with medication treatment duration.

METHODS

We analyzed 2013-2018 MarketScan Multi-State Medicaid claims data. The sample included adults aged 18-64 years at buprenorphine initiation with treatment episodes of at least 7 days (n = 61,976). We used group-based trajectory models to define therapy service patterns and multinomial logistic regression to identify pre-treatment patient characteristics associated with therapy trajectories. Multinomial propensity-score weighted Cox proportional hazards regression estimated time to buprenorphine discontinuation and unweighted Cox proportional hazards models estimated risk of adverse health care events during buprenorphine treatment (all-cause and opioid-related inpatient and emergency department services, overdose treatment).

RESULTS

We identified three trajectories of psychosocial and behavioral therapy services: none (73.8%), low-intensity (17.2%), and high-intensity (9.0%). Compared to those without therapy, low-intensity and high-intensity service patterns were associated with behavioral health diagnoses and medical treatment for opioid overdose in the baseline period prior to buprenorphine initiation. The hazard of buprenorphine discontinuation was significantly lower for low-intensity (HR = 0.55; 95% CI, 0.54-0.57) and high-intensity (HR = 0.71; 95% CI, 0.67-0.74) therapy groups compared to those without therapy services. Yet patients in the high-intensity therapy group had increased risk of opioid-related health care events during buprenorphine treatment, including medical treatment for opioid overdose (HR = 1.29; 95% CI, 1.01-1.64).

CONCLUSION

Most patients received little or no OUD-related psychosocial and behavioral therapy after initiating buprenorphine treatment. Patients who received therapy had characteristics indicating greater treatment needs as well as more complex treatment courses. Concurrent therapy services may help to address premature buprenorphine discontinuation, particularly for patients with high-risk clinical profiles; however, future prospective research should determine whether therapy is effective for extending buprenorphine retention.

State-level changes in health insurance coverage and parental substance use-associated foster care entry

For many families whose children are placed in foster care, initial contact with the child welfare system occurs due to interactions with the healthcare system, particularly in the context of the opioid epidemic and increased attention to prenatal drug exposure. In the last decade, many previously uninsured families have gained Medicaid health coverage, which has implications for their access to healthcare services and visibility to mandatory reporters. Using administrative foster care case data from the Adoption and Foster Care Analysis and Reporting System Foster Care Files and health insurance data from the American Community Survey, this study analyzes the associations between state-level health insurance coverage and rates of foster care entry due to parental substance use between 2009 and 2019. State-level fixed effects models revealed that public, but not private, health insurance rates were positively associated with rates of foster care entry due to parental substance use. These results support the hypothesis that health insurance coverage may promote greater contact with mandatory reporters among low-income parents with substance use disorders. Furthermore, this study illustrates how healthcare policy may have unintended consequences for the child welfare system.

Performance Metrics of Substance Use Disorder Care Among Medicaid Enrollees in New York, New York

Importance

There is limited evaluation of the performance of Medicaid managed care (MMC) private plans in covering substance use disorder (SUD) treatment.

Objective

To compare the performance of MMC plans across 19 indicators of access, quality, and outcomes of SUD treatment.

Design Setting and Participants

This cross-sectional study used administrative claims and mandatory assignment to plans of up to 159 016 adult Medicaid recipients residing in 1 of the 5 counties (boroughs) of New York, New York, from January 2009 to December 2017 to identify differences in SUD treatment access, patterns, and outcomes among different types of MMC plans. Data from the latest years were received from the New York State Department of Health in October 2019, and analysis began soon thereafter. Approximately 17% did not make an active choice of plan, and a subset of these (approximately 4%) can be regarded as randomly assigned.

Exposures

Plan assignment.

Main Outcomes and Measures

Percentage of the enrollees achieving performance measures across 19 indicators of access, process, and outcomes of SUD treatment.

Results

Medicaid claims data from 159 016 adults (mean [SD] age, 35.9 [12.7] years; 74 261 women [46.7%]; 8746 [5.5%] Asian, 73 783 [46.4%] Black, and 40 549 [25.5%] White individuals) who were auto assigned to an MMC plan were analyzed. Consistent with national patterns, all plans achieved less than 50% (range, 0%-62.1%) on most performance measures. Across all plans, there were low levels of treatment engagement for alcohol (range, 0%-0.4%) and tobacco treatment (range, 0.8%-7.2%), except for engagement for opioid disorder treatment (range, 41.5%-61.4%). For access measures, 4 of the 9 plans performed significantly higher than the mean on recognition of an SUD diagnosis, any service use for the first time, and tobacco use screening. Of the process measures, total monthly expenditures on SUD treatment was the only measure for which plans differed significantly from the mean. Outcome measures differed little across plans.

Conclusions and Relevance

The results of this cross-sectional study suggest the need for progress in engaging patients in SUD treatment and improvement in the low performance of SUD care and limited variation in MMC plans in New York, New York. Improvement in the overall performance of SUD treatment in Medicaid potentially depends on general program improvements, not moving recipients among plans.

Association of Medicaid Expansion With Emergency Department Visits by Medical Urgency

IMPORTANCE

Relatively little is known about the association of the Medicaid eligibility expansion under the Patient Protection and Affordable Care Act with emergency department (ED) visits categorized by medical urgency.

OBJECTIVE

To estimate the association between state Medicaid expansions and ED visits by the urgency of presenting conditions.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used the Healthcare Cost and Utilization Project State Emergency Department Databases from January 2011 to December 2017 for 2 states that expanded Medicaid in 2014 (New York and Massachusetts) and 2 states that did not (Florida and Georgia). Difference-in-differences regression models were used to estimate the changes in ED visits overall and further stratified by the urgency of the conditions using an updated version of the New York University ED algorithm between the states that expanded Medicaid and those that did not, before and after the expansion. Data were analyzed between June 7 and December 12, 2021.

EXPOSURE

State-level Medicaid eligibility expansion.

MAIN OUTCOMES AND MEASURES

Emergency department visits per 1000 population overall and stratified by medical urgency of the conditions.

RESULTS

In total, 80.6 million ED visits by 26.0 million individuals were analyzed. Emergency department visits were concentrated among women (59.3%), non-Hispanic Black individuals (28.3%), non-Hispanic White individuals (47.8%), and those aged 18 to 34 years (47.5%) and 35 to 44 years (20.4%). The rates of ED visits increased by a mean of 2.4 visits in nonexpansion states and decreased by a mean of 2.2 visits in expansion states after 2014, resulting in a significant regression-adjusted decrease of 4.7 visits per 1000 population (95% CI, -7.7 to -1.5; P = .003) in expansion states. Most of this decrease was associated with decreases in ED visits by conditions classified as not emergent (-1.5 visits; 95% CI, -2.4 to -0.7; P < .001), primary care treatable (-1.1 visits; 95% CI, -1.6 to -0.5; P < .001), and potentially preventable (-0.3 visits; 95% CI, -0.5 to -0.1; P = .02). No significant changes were observed for ED visits related to injuries and conditions classified as not preventable (-1.4; 95% CI, -3.1 to 0.3; P = .10), as well as for substance use and mental health disorders (0.0; 95% CI, -0.2 to 0.2; P = .94).

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that Medicaid expansion was associated with decreases in ED visits, for which decreases in ED visits for less medically emergent ED conditions may have been a factor.

The role of age and opioid agonist treatment on substance use treatment completion in the United States

BACKGROUND

There is a large body of research indicating that substance use disorder treatment completion leads to higher rates of sustained recovery. However, not much is known about how age and opioid treatment programs (OTPs) OTPinteract to affect treatment completion. The purpose of this article is to better understand the pathway between age, OTP, and treatment completion.

METHODS

Data from the US 2017 Treatment Episodes Data Set was analyzed. Seemingly unrelated bivariate probit regression was used to determine whether OTP access mediates the relationship between age and treatment completion. We used propensity score matching to simulate the effects of a randomized control trial and to attenuate the likelihood of a Type 1 error.

RESULTS

Older adults have a higher likelihood than their younger counterparts of completing treatment regardless of OTP status in inpatient and outpatient settings. Those who received OTP in inpatient treatment had a 45% increased probability of completing treatment in detox settings and a 41% increased probability of completing treatment in inpatient settings. Older adults (age 50+) were more likely to receive OTP than their younger counterparts. There is a small but significant indirect effect of age on treatment completion in inpatient settings.

CONCLUSIONS

Older adults are more likely to receive OTP in both inpatient and outpatient settings. However, age does not appear to affect the probability of treatment completion when individuals receive OTP, except in inpatient settings. Implications are discussed.

Insurance barriers to substance use disorder treatment after passage of mental health and addiction parity laws and the affordable care act: A qualitative analysis

Introduction

People who use drugs (PWUDs) in the United States historically have had a higher probability of being uninsured. Passage of the Affordable Care Act, the Paul Wellstone and Pete Domenici Health Parity and Addiction Equity was expected to increase access to treatment for substance use disorder. Few studies to date have conducted qualitative research with substance use disorder (SUD) treatment providers regarding Medicaid and other insurance coverage of SUD treatment following passage of the ACA and parity laws. The present paper fills this gap by reporting data from in-depth interviews with treatment providers from three states, Connecticut, Kentucky, and Wisconsin, that differ in implementation of the ACA.

Methods

Study teams in each state conducted in-depth, semi-structured interviews with key informants who provided SUD treatment, including providers of behavioral health residential or outpatient programs, office-based buprenorphine providers and opioid treatment programs [OTP, i.e. methadone clinics] (n = 24 in Connecticut, n = 63 in Kentucky and n = 63 in Wisconsin). Key informants were asked for their perceptions on how Medicaid and private insurance facilitates or limits access to drug treatment. All interviews were transcribed verbatim and analyzed for key themes using MAXQDA software using a collaborative approach.

Results

Results from this study suggest that the promise of the ACA and parity laws to increase access to SUD treatment has only partially been realized. There is wide variation among the three states' Medicaid programs and among private insurance in the types of SUD treatment that is covered. Neither Kentucky's nor Connecticut's Medicaid covered methadone. Wisconsin Medicaid did not cover residential or intensive outpatient treatment. Thus, none of the states studied here provided all levels of care that the ASAM recommends for treating SUD. Further, there were several quantitative limits placed on SUD treatment such as number of urine drug screens or visits allowed. Providers complained that many treatments required prior authorizations, including MOUD like buprenorphine.

Conclusions

More reform is needed to make SUD treatment accessible to all who need it. Such reforms should consider defining standards for opioid use disorder treatment with reference to evidence-based practices, not be attempting parity with an arbitrarily defined medical standard.

Toward a Typology of Office-based Buprenorphine Treatment Laws: Themes From a Review of State Laws

OBJECTIVES

Buprenorphine is a gold standard treatment for opioid use disorder (OUD). Some US states have passed laws regulating office-based buprenorphine treatment (OBBT) for OUD, with requirements beyond those required in federal law. We sought to identify themes in state OBBT laws.

METHODS

Using search terms related to medications for OUD, we searched Westlaw software for state regulations and statutes in 51 US jurisdictions from 2005 to 2019. We identified and inductively analyzed OBBT laws for themes.

RESULTS

Since 2005, 10 states have passed a total of 181 OBBT laws. We identified the following themes: (1) provider credentials: state licensure for OBBT providers and continuing medical education requirements; (2) new patients: objective symptoms patients must have before receiving OBBT and exceptions for special populations; (3) educating patients: general informed consent requirements, and specific information to provide; (4) counseling: minimum counselor credentials, minimum counseling frequency, counseling alternatives; (5) patient monitoring: required prescription drug monitoring checks, frequency of drug screening, and responses to lost/stolen medications; (6) enhanced clinician monitoring: evidence-based treatment protocols, minimum clinician-patient contact frequency, health assessment requirements, and individualized treatment planning; and (7) patient safety: reconciling prescriptions, dosage limitations, naloxone coprescribing, tapering, and office closures.

CONCLUSIONS

Some laws codify practices for which scientific consensus is lacking. Additionally, some OBBT laws resemble opioid treatment programs and pain management regulations. Results could serve as the basis for a typology of office-based treatment laws, which could facilitate empirical examination of policy impacts on treatment access and quality.

Translating Medicaid policy into practice: policy implementation strategies from three US states' experiences enhancing substance use disorder treatment

BACKGROUND

Despite the important upstream impact policy has on population health outcomes, few studies in implementation science in health have examined implementation processes and strategies used to translate state and federal policies into accessible services in the community. This study examines the policy implementation strategies and experiences of Medicaid programs in three US states that responded to a federal prompt to improve access to evidence-based practice (EBP) substance use disorder (SUD) treatment.

METHODS

Three US state Medicaid programs implementing American Society of Addiction Medicine (ASAM) Criteria-driven SUD services under Section 1115 waiver authority were used as cases. We conducted 44 semi-structured interviews with Medicaid staff, providers and health systems partners in California, Virginia, and West Virginia. Interviews were triangulated with document review of state readiness and implementation plans. The Exploration, Preparation, Implementation, Sustainment Framework (EPIS) guided qualitative theme analysis. The Expert Recommendations for Implementing Change and Specify It criteria were used to create a taxonomy of policy implementation strategies used by policymakers to promote providers' uptake of statewide EBP SUD care continuums.

RESULTS

Four themes describe states' experiences and outcomes implementing a complex EBP SUD treatment policy directive: (1) Medicaid agencies adapted their inner/outer contexts to align with EBPs and adapted EBPs to fit their local context; (2) enhanced financial reimbursement arrangements were inadequate bridging factors to achieve statewide adoption of new SUD services; (3) despite trainings, service providers and managed care organizations demonstrated poor fidelity to the ASAM Criteria; and (4) successful policy adoption at the state level did not guarantee service providers' uptake of EBPs. States used 29 implementation strategies to implement EBP SUD care continuums. Implementation strategies were used in the Exploration (n=6), Preparation (n=10), Implementation (n=19), and Sustainment (n=6) phases, and primarily focused on developing stakeholder interrelationships, evaluative and iterative approaches, and financing.

CONCLUSIONS

This study enhances our understanding of statewide policy implementation outcomes in low-resource, public healthcare settings. Themes highlight the need for additional pre-implementation and sustainment focused implementation strategies. The taxonomy of detailed policy implementation strategies employed by policymakers across states should be tested in future policy implementation research.

Users of retail medications for opioid use disorders faced high out-of-pocket prescription spending in 2011-2017

INTRODUCTION

High out-of-pocket spending has been a barrier to treatment for the estimated 2.0 million Americans suffering from opioid use disorders (OUD). This paper provides national estimates of financial costs faced by the population receiving retail medications for OUD (MOUD).

METHODS

We used pooled annual data from the 2011-2017 Medical Expenditure Panel Survey (MEPS), a nationally representative sample of the civilian noninstitutionalized population in the United States. The sample includes individuals who reported filling a retail prescription for buprenorphine or naltrexone, the two most common medications available from retail pharmacies to treat OUD. The main outcome is out-of-pocket spending of retail MOUD prescriptions per fill and per person.

RESULTS

Patients with retail MOUD prescriptions spent 3.4 times more out-of-pocket for prescriptions on average than the rest of the U.S. population, with 18.8% of this population paying entirely out-of-pocket for their MOUD prescriptions. Insurance coverage is associated with reduced annual out-of-pocket MOUD expenditures between $316 and $328 per year.

CONCLUSIONS

Future policies that expand insurance and address out-of-pocket spending on MOUD could increase access to medications among individuals with OUD.

Developmental Considerations for the Use of Naltrexone in Children and Adolescents

Naltrexone (NTX) is a well-tolerated drug with a wide safety margin and mechanism of action that affords use across a wide variety of indications in adults and children. By antagonizing the opioid reward system, NTX can modulate behaviors that involve compulsivity or impulsivity, such as substance use, obesity, and eating disorders. Evidence regarding the disposition and efficacy of NTX is mainly derived from adult studies of substance use disorders and considerable variability exists. Developmental changes, plausible disease-specific alterations and genetic polymorphisms in NTX disposition, and pharmacodynamic pathways should be taken into consideration when optimizing the use of NTX in the pediatric population. This review highlights the current state of the evidence and gaps in knowledge regarding NTX to facilitate evidence-based pharmacotherapy of mental health conditions, for which few pharmacologic options exist.

Ensuring access to high-quality substance use disorder treatment for Medicaid enrollees: A qualitative study of diverse stakeholders' perspectives

BACKGROUND

Medicaid programs are vital to ensure low-income individuals have access to substance use disorder (SUD) treatment. However, shifts in Medicaid policies may alter coverage and SUD care for this population, who already face difficulties receiving high-quality SUD treatment. Using a policy implementation research approach, we sought to identify barriers and facilitators when transitioning from Medicaid fee-for-service to managed care plan structures and opportunities for improving SUD care in New York State (NYS).

METHOD

Study staff conducted semistructured, in-depth qualitative interviews (N = 40 total) with diverse stakeholders involved with different aspects of SUD treatment in NYS, including policy leaders (n = 13), clinicians (n = 12), Medicaid managed care plan administrators (n = 5), and patients (n = 10).

RESULTS

Findings from thematic analysis centered on three themes: 1) while transitions to managed care have benefited clinicians, certain policies affect patients' Medicaid enrollment and quality of care; 2) stakeholders perceived individuals with dual diagnoses, older adults, and linguistic minorities to be at higher risk for inadequate care; and 3) current quality metrics may not adequately capture treatment quality.

CONCLUSION

Policy changes should focus on promoting increased collaboration among stakeholders, expanding Medicaid coverage, and reducing stigma. Resources should be diverted to facilitate psychiatric care for patients with dual diagnoses and to build workforce capacity to adequately meet the needs of older adults and linguistic minorities. Opportunities for NYS Medicaid include adapting performance metrics to capture meaningful patient outcomes and link reimbursements to improvements in patients' quality of life.

Using conjoint analysis to study health policy changes: An example from a cohort of persons who use drugs

BACKGROUND

Historically, persons who use drugs (PWUDs) in the United States have often lacked health insurance, as Medicaid did not cover low-income adults. The Affordable Care Act of 2010 (ACA) increased access to insurance in states, such as Kentucky, that expanded their Medicaid programs. A cohort study of PWUDs in Kentucky found the prevalence of being insured increased from 34% pre-ACA to 87% post-ACA. However, changes to Medicaid were proposed that intended to restrict access to this program. This manuscript describes the feasibility and utility of conjoint analysis, an innovative method for studying decision-making, to identify potential impacts of health policy changes on PWUDs.

METHODS

IBM SPSS's "orthogonal design" command was used to construct 12 policy profiles that presented varying combinations of the proposed policy changes to Kentucky's Medicaid plan. Each policy profile presented information on (1) monthly premium costs, (2) penalties for not paying monthly premiums, (3) weekly work requirements, and (4) if their preferred physician accepted the plan for payment. Readability of the policy profiles was analyzed using the Readable.io application. The policy profiles were included in a recent follow-up of a longitudinal cohort of PWUDs in Appalachian Kentucky (n = 355). Participants rated the likelihood of enrolling in each policy profile's Medicaid plan, using a scale ranging from 0=not at all likely to 10=extremely likely. Data were analyzed using SPSS's conjoint analysis commands.

RESULTS

Readability results indicated the policy profiles required a 3^rd grade education. Nearly all participants responded to each of the 12 policy profiles. Across the policy profiles, the mean response for willingness to enroll was 3.43 (SD = 3.61), indicating relatively low willingness to enroll. Conjoint analysis revealed the two most influential factors on willingness to enroll were work requirements (importance score, IS = 77.63) and monthly premium costs (IS = 17.76). Penalties for nonpayment (IS = 0.43) and physician acceptance (IS = 4.13) had minimal influence.

CONCLUSIONS

This research demonstrates the feasibility of using conjoint analysis to study the impacts of potential policy changes on PWUDs.

The Role of State Medicaid Expansions in Integrating Comprehensive Mental Health Services into Opioid Treatment Programs: Differences Across the Rural/Urban Continuum

Co-occurring mental health (MH) problems are common among those with opioid use disorders (OUDs). However, most opioid treatment programs (OTPs) do not provide MH services. We measured the association between state level characteristics (Medicaid expansion status and rurality) and MH/OUD services integration. We used a generalized linear model to estimate how the association between integration and Medicaid expansions varied across levels of rurality (National Survey on Substance Abuse Treatment Services; 2018; n = 1507 OTPs). The predicted probability of OTPs offering MH services decreased as rurality increased, and the strength of the negative association was greater in non-expansion states ([Formula: see text]=-0.038, SE = 0.005, p < 0.0001) than in expansion states ([Formula: see text]=-0.020, SE = 0.003, p < 0.0001). Access to integrated MH services was lowest in rural non-Medicaid expansion states, despite the high risk of opioid misuse and a high need for MAT and MH services in this population.

Growing racial/ethnic disparities in buprenorphine distribution in the United States, 2007-2017

OBJECTIVE

To assess whether per capita buprenorphine distribution varies by regional racial/ethnic composition, Medicaid expansion status, and time period.

METHODS

Our unit of analysis -- three-digit ZIP codes ("ZIP3s") -- was classified into quintiles based on percentage of White residents. A weighted linear regression model of buprenorphine distribution -- including White resident quintile, waivered prescriber rate, overdose rate, sociodemographic factors, and year fixed effects -- was estimated using national buprenorphine distribution data from 2007 to 2017. We report predictive margins of the buprenorphine distribution rate by quintile, as well as average marginal effects of waivered prescriber rate on buprenorphine distribution rate for each quintile. Analyses were stratified by Medicaid expansion status and time period (2007-2010, 2011-2014, 2015-2017).

RESULTS

Buprenorphine distribution increased nationally during 2007-2017, yet growth was disproportionately greater for ZIP3s with higher percentages of White residents. Medicaid expansion states exhibited significant differences in buprenorphine distribution across ZIP3 quintiles during 2007-2010, the magnitude of which increased across time periods. Non-expansion states exhibited significant quintile differences during 2011-2014 and 2015-2017. The average marginal effect of increasing the waivered prescriber rate on the distribution rate was consistently smaller in ZIP3s with lower percentages of White residents, particularly in expansion states.

CONCLUSIONS

We find ecological evidence consistent with racial/ethnic disparities in buprenorphine distribution. Our finding that increasing the waivered prescriber rate had differential effects by ZIP3 racial/ethnic composition suggest that broad initiatives to increase the number of waivered prescribers are likely insufficient to achieve equitable buprenorphine access. Rather, targeted and tailored policy efforts are warranted.

Hospital Use Declines After Implementation Of Virginia Medicaid's Addiction And Recovery Treatment Services

Medicaid programs responded to the opioid crisis by expanding treatment coverage and reforming delivery systems. We assessed whether Virginia's Addiction and Recovery Treatment Services (ARTS) program, implemented in April 2017, influenced emergency department and inpatient use. Using claims for January 2016-June 2018 and difference-in-differences models, we compared beneficiaries with opioid use disorder before and after ARTS implementation to beneficiaries with no substance use disorder. After program implementation, the likelihood of having an emergency department visit in a quarter declined by 9.4 percentage points (a 21.1 percent relative decrease) among beneficiaries with opioid use disorder, compared to 0.9 percentage points among beneficiaries with no substance use disorder. Similarly, the likelihood of having an inpatient hospitalization declined among beneficiaries with opioid use disorder. In contrast to other states, Virginia has a new Medicaid expansion population whose beneficiaries enter a delivery system in which reforms of the addiction treatment system are well under way.

Impact Of Long-Term Buprenorphine Treatment On Adverse Health Care Outcomes In Medicaid

The optimal, or even minimum, duration of medication treatment for opioid use disorder (OUD) needed to improve long-term outcomes has not been established empirically. As a result, health plans set potentially restrictive treatment standards to guide benefits and payment. To address this gap, we used a National Quality Forum measure for OUD medication treatment duration (180 days) to examine the impact of longer treatment on health care outcomes within a key population of Medicaid enrollees. Compared to buprenorphine discontinuation around the National Quality Forum benchmark (six to nine months), longer treatment (at least fifteen months) was associated with relative reductions in the risk of having all-cause inpatient (-52 percent) and emergency department (-26 percent) use, opioid-related hospital use (-128 percent), overdose events (-173 percent), and opioid prescriptions (-120 percent) and in the rate of prescription opioid use (-124 percent). We argue that these clinical benefits provide a rationale for policies that increase access to longer-term buprenorphine treatment, including lengthening the standards for minimum treatment duration.

Specialty Substance Use Disorder Treatment Admissions Steadily Increased In The Four Years After Medicaid Expansion

The Affordable Care Act's Medicaid expansion provided insurance coverage to many low-income adults with substance use disorders, but it is unclear whether this led to more people receiving treatment. We used the Treatment Episode Data Set and a difference-in-differences approach to compare annual rates of specialty treatment admissions in expansion versus nonexpansion states in the period 2010-17. We found that admissions to treatment steadily increased in the four years after Medicaid expansion, with 36 percent more people entering treatment by the fourth expansion year in expansion states compared to nonexpansion states. Changes were largest for people entering intensive outpatient programs and those seeking medication treatment for opioid use disorder. The share of admissions paid for by Medicaid increased 23 percentage points in expansion states compared to nonexpansion states, largely displacing treatment paid for by state and local governments. The gradual increase in specialty substance use disorder treatment admissions after Medicaid expansion may reflect improving capacity and access to care.

Self-Help Groups And Medication Use In Opioid Addiction Treatment: A National Analysis

Self-help groups and medications (buprenorphine, methadone, and naltrexone) both play important roles in opioid addiction treatment. The relative use of these two treatment modalities has not been characterized in a national study. Using national treatment data, we found that self-help groups were rarely provided in conjunction with medication treatment: Among all adult discharges from opioid addiction treatment in the period 2015-17, 10.4 percent used both self-help groups and medications, 29.2 percent used only medications, 29.8 percent used only self-help groups, and 30.5 percent used neither self-help groups nor medications. Use of self-help groups without medication is most common in residential facilities, among those with criminal justice referrals, and among uninsured or privately insured patients, as well as in the South and West regions of the US. These subgroups may be important targets for future efforts to identify and overcome barriers to medication treatment and create multimodal paths to recovery.

Association between availability of medications for opioid use disorder in specialty treatment and use of medications among patients: A state-level trends analysis

INTRODUCTION

Access to medication for opioid use disorder (MOUD) is a recognized public health challenge to improving the health of people with opioid use disorder (OUD) in many communities. Prior studies have shown that although MOUD availability has increased over time, particularly in some states, many substance use treatment facilities still do not offer medications. The relationship between greater availability of MOUD and use of MOUD among patients in treatment programs is not well understood.

METHODS

We used the National Survey of Substance Abuse Treatment Services to calculate the percent of specialty facilities per state providing MOUD from 2007 to 2018 and the Treatment Episode Data Set-Admissions (TEDS-A) to estimate the likelihood that a patient would have MOUD as part of their treatment plan during the same time period. We estimated models with patient-level TEDS-A data as the outcome and state-aggregated one-year lagged availability of MOUD in facilities as the main predictor, stratifying by treatment facility type (intensive outpatient, non-intensive outpatient, and residential).

RESULTS

We found that increasing MOUD availability at the facility level was associated with increased MOUD use in non-intensive and residential facilities at the patient level. Specifically, a 10 percentage point increase in MOUD availability was associated with a 4.5 percentage point increase in MOUD use among patients of non-intensive outpatient facilities (p-value = 0.03), and a 2.5 percentage points increase in residential facilities (p-value = 0.02). Non-Whites and patients in the Northeast had greater likelihoods of increased MOUD use in response to increased availability by facilities.

CONCLUSION

Increasing MOUD availability among specialty treatment facilities is likely to promote better access to MOUD for patients seeking treatment for OUD.

Evaluating the effectiveness of concurrent opioid agonist treatment and physician-based mental health services for patients with mental disorders in Ontario, Canada

Objective

The objective of this study was to evaluate the relationship between concurrent physician-based mental health services, all-cause mortality, and acute health service use for individuals enrolled in Opioid Agonist Treatment in Ontario, Canada.

Methods

A cohort study of patients enrolled in opioid agonist treatment in Ontario was conducted between January 1, 2011, and December 31, 2015, in Ontario with an inverse probability of treatment weights using the propensity score to estimate the effect of physician-based mental health services. Treatment groups were created based on opioid agonist treatment patients’ utilization of physician-based mental health services. Propensity score weighted odds ratios were calculated to assess the relationship between the treatment groups and the outcomes of interest. The outcomes included all-cause mortality using data from the Registered Persons Database, Emergency Department visits from the National Ambulatory Care Database, and hospitalizations using data from the Discharge Abstract Database. Encrypted patient identifiers were used to link across databases.

Results

A total of 48,679 individuals in OAT with mental disorders. Opioid agonist treatment alone was associated with reduced odds of all-cause mortality (odds ratio (OR) 0.4, 95% confidence interval (CI) 0.3–0.4). Patients who received mental health services from a psychiatrist and primary care physician while engaged in OAT, the estimated rate of ED visits per year was higher (OR = 1.3, 95% CI 1.2–1.4) and the rate of hospitalizations (OR = 0.5, 95% CI 0.4–0.6) than in the control group.

Conclusion

Our findings support the view that opioid agonist treatment and concurrent mental health services can improve clinical outcomes for complex patients, and is associated with enhanced use of acute care services.

Opioid Use Disorder and Associated Infectious Disease: The Role of the Laboratory in Addressing Health Disparities

BACKGROUND

Opioid use disorder, defined as a pattern of problematic opioid use leading to clinically significant impairment, has resulted in considerable morbidity and mortality throughout the world. This is due, at least in part, to the marginalized status of patients with opioid use disorder, limiting their access to appropriate laboratory testing, diagnosis, and treatment. Infections have long been associated with illicit drug use and contribute considerably to morbidity and mortality. However, barriers to testing and negative stigmas associated with opioid use disorder present unique challenges to infectious disease testing in this patient population.

CONTENT

This review addresses the associations between opioid use disorder and infectious organisms, highlighting the health disparities encountered by patients with opioid use disorder, and the important role of laboratory testing for diagnosing and managing these patients.

SUMMARY

Infections are among the most frequent and adverse complications among patients with opioid use disorder. As a result of health disparities and systemic biases, patients that misuse opioids are less likely to receive laboratory testing and treatment. However, laboratories play a crucial in identifying patients that use drugs illicitly and infections associated with illicit drug use.

Private health insurance coverage of drug use disorder treatment: 2005-2018

Many privately insured adults with drug use disorders in the United States do not have health care coverage for drug use treatment. The Affordable Care Act sought to redress this gap by including substance use treatments as essential health benefits under new plans offered. This study used data from 11,732 privately insured adult participants of the 2005-2018 National Survey on Drug Use and Health with drug use disorders to examine trends in drug use treatment coverage and the association of coverage with receiving treatment. 37.6% of the participants with drug use disorders did not know whether their plan covered drug use treatment, with little change over time. Among those who knew, coverage increased modestly between the 2005-2013 and 2014-2018 periods (73.5% vs. 77.5%, respectively, p = .015). Coverage was associated with receiving drug use treatment (adjusted odds ratio = 2.09, 95% confidence interval = 1.61-2.72, p < .001). However, even among participants with coverage, only 13.4% received treatment. Broader coverage of drug use treatment could potentially improve treatment rates.

Relative Cost Differences of Initial Treatment Strategies for Newly Diagnosed Opioid Use Disorder: A Cohort Study

BACKGROUND

Relative costs of care among treatment options for opioid use disorder (OUD) are unknown.

METHODS

We identified a cohort of 40,885 individuals with a new diagnosis of OUD in a large national de-identified claims database covering commercially insured and Medicare Advantage enrollees. We assigned individuals to 1 of 6 mutually exclusive initial treatment pathways: (1) Inpatient Detox/Rehabilitation Treatment Center; (2) Behavioral Health Intensive, intensive outpatient or Partial Hospitalization Services; (3) Methadone or Buprenorphine; (4) Naltrexone; (5) Behavioral Health Outpatient Services, or; (6) No Treatment. We assessed total costs of care in the initial 90 day treatment period for each strategy using a differences in differences approach controlling for baseline costs.

RESULTS

Within 90 days of diagnosis, 94.8% of individuals received treatment, with the initial treatments being: 15.8% for Inpatient Detox/Rehabilitation Treatment Center, 4.8% for Behavioral Health Intensive, Intensive Outpatient or Partial Hospitalization Services, 12.5% for buprenorphine/methadone, 2.4% for naltrexone, and 59.3% for Behavioral Health Outpatient Services. Average unadjusted costs increased from $3250 per member per month (SD $7846) at baseline to $5047 per member per month (SD $11,856) in the 90 day follow-up period. Compared with no treatment, initial 90 day costs were lower for buprenorphine/methadone [Adjusted Difference in Differences Cost Ratio (ADIDCR) 0.65; 95% confidence interval (CI), 0.52-0.80], naltrexone (ADIDCR 0.53; 95% CI, 0.42-0.67), and behavioral health outpatient (ADIDCR 0.54; 95% CI, 0.44-0.66). Costs were higher for inpatient detox (ADIDCR 2.30; 95% CI, 1.88-2.83).

CONCLUSION

Improving health system capacity and insurance coverage and incentives for outpatient management of OUD may reduce health care costs.

Factors associated with state legislators' support for opioid use disorder parity laws

BACKGROUND

In the United States, state behavioral health parity laws play a crucial role in ensuring equitable insurance coverage and access to substance use disorder treatment and services for people that need them. State legislators have the exclusive authority to adopt these laws. The purpose of this study was to identify legislator beliefs independently associated with "strong support" for opioid use disorder (OUD) parity.

METHODS

Data were from a 2017 cross-sectional, state-stratified, multi-modal survey of state legislators (N = 475). The dependent variable was "strong support" for OUD parity. Primary independent variables were beliefs about state parity laws. Bivariate analyses and mixed effects logistic regression were conducted.

RESULTS

Legislators who "strongly supported" OUD parity were significantly more likely than legislators who did not "strongly support" OUD parity to be female (64.1% vs. 46.5%, p<.001) , Democrat (76.2% vs. 29.3%, p<.001), and have liberal, compared to conservative, ideology (85.6% vs. 27.1%, p<.001). After adjusting for legislator demographics and state-level covariates, beliefs such as agreeing that state parity laws do not increase health insurance premium costs (aOR=6.77, p<.01) and that substance use disorder treatments can be effective (aOR=5.00, p<.001) remained associated with "strong support" for OUD parity. These state legislators' beliefs were more strongly associated with "strong support" for OUD parity than political party, ideology, and other demographic and state-level characteristics.

CONCLUSIONS

Dissemination materials and communication strategies to cultivate support for OUD parity laws among state legislators should focus on the fiscal impacts of parity laws and the effectiveness of substance use disorder treatments.

Outpatient care for opioid use disorder among the commercially insured: Use of medication and psychosocial treatment

BACKGROUND

Evidence-based outpatient treatment for opioid use disorder (OUD) consists of medications that treat OUD (MOUD) and psychosocial treatments (e.g., psychotherapy or counseling, case management). Prior studies have not examined the use of these components of care in a commercially insured population.

METHODS

We analyzed claims data from a large national commercial insurer of enrollees age 17-64 identified with OUD (2008-2016, N = 87,877 persons and 122,708 person-years). Multinomial logistic regression models identified factors associated with receiving in a given year: 1) both MOUD and psychosocial visits, 2) MOUD without psychosocial visits, 3) psychosocial visits without MOUD, or 4) neither. We estimated predicted probabilities for key variables of interest.

RESULTS

Identification of OUD nearly tripled during the observation period (0.17% in 2008, 0.45% in 2016). Among person-years identified as having OUD, 36.3% included MOUD (8.1% both MOUD and psychosocial visits and 28.2% MOUD without psychosocial visits). In adjusted analyses, women had a lower probability of receiving either treatment alone or in combination (e.g.,MOUD plus psychosocial visits: women = 6.7% [6.5%-6.9%] vs. men = 9.2% [9.0%-9.4%]). Moderate/severe vs. mild OUD was associated with a higher probability of receiving MOUD (e.g., MOUD plus psychosocial visits: 8.7% [8.6%-8.9%] vs. 0.9% [0.7%-1.0%]). In contrast, an OUD overdose was associated with a greater probability of receiving neither treatment (78.2% [77.4%-79.0%] vs. 55.5% [55.2%-55.8%]). Over time, the probability of receiving each MOUD and psychosocial treatment category increased relative to 2008, but reached a peak and then plateaued or declined, by the end of the study period.

CONCLUSIONS

A significant treatment gap exists among individuals identified with OUD in this commercially insured population, with greater risks of receiving no treatment for women and for individuals with mild versus moderate or severe OUD. Overdose is associated with receiving neither MOUD nor psychosocial treatment. While treated prevalence initially increased relative to 2008, rates of treatment subsequently plateaued. Additional study and monitoring to elucidate barriers to OUD treatment in commercially insured populations are warranted.