Buprenorphine Utilization and Prescribing Among New Jersey Medicaid Beneficiaries After Adoption of Initiatives Designed to Improve Treatment Access

Assessing inequities in buprenorphine treatment across the care cascade

OBJECTIVE

Describe buprenorphine treatment gaps across the care cascade by race, ethnicity, age, sex and key clinical characteristics.

DESIGN

Observational cohort study of new opioid use disorder (OUD) treatment episodes, 1/1/15-12/31/21 PARTICIPANTS: Individuals 16-89 years at Boston Medical Center and affiliated Boston-area clinics with OUD or buprenorphine prescription following 90-day washout MAIN OUTCOMES AND MEASURES: Buprenorphine initiation (by 14d), engagement (second prescription by 34d), and retention (continuous buprenorphine through 180d without >14d gap). Covariates: sex, race and ethnicity, age, past 12-month buprenorphine, past 12-month overdose, co-occurring substance use disorder (SUD) and psychiatric diagnosis.

RESULTS

24,165 episodes (14,182 individuals) included the following characteristics: female (34.1 %); Black (21.5 %), Latino (16.2 %), White (59.2 %); 16-25 years (4.1 %), 65-89 years (4.9 %). Initiation, engagement and retention were low: 39.3 %, 19.3 %, and 12.4 %. In adjusted models, compared with males, females' lower probability of overall retention reflected lower engagement conditional on initiation (41 % vs. 53 %; OR:0.61, 95 %CI:0.56-0.67, p < 0.001). Black individuals' lower probability of retention overall reflected lower initiation than White individuals (28 % vs 44 %; OR:0.50, 95 %CI:0.46-0.55, p < 0.001). The retention disadvantage for younger and older groups reflected cascade-wide gaps. Lower overall retention associated with co-occurring SUDs reflected lower initiation (OUD only:46 %; OUD plus: alcohol:19 % OR:0.27, 95 %CI:0.21-0.34, p < 0.001; sedatives:21 %, OR:0.31, 95 %CI:0.20-0.49, p < 0.001; stimulants:25 %, OR:0.40, 95 %CI:0.33-0.48, p < 0.001; ≥3 SUDs:25 %, OR:0.40, 95 %CI:0.37-0.43, p < 0.001).

CONCLUSIONS AND RELEVANCE

Inequities in buprenorphine use emerged across the care cascade with unique patterns by sociodemographic and clinical subgroup. Health systems aiming to reduce buprenorphine inequities should identify the optimal cascade step based on the population of interest.

Client and program-level factors associated with planned use of medications for opioid use disorder in specialty substance use treatment programs: Evidence from linked administrative data and survey data

BACKGROUND

Most patients in specialty drug treatment programs that are not federally licensed Opioid Treatment Programs (OTPs) programs do not receive medications for opioid use disorder (MOUD).

METHODS

We linked results from a survey of non-OTP treatment program directors in New Jersey (n = 81) to statewide administrative records of admissions for opioid use to those programs between July 2021-June 2022. Using multi-level regression, we examined the association of three types of factors with planned MOUD use: program survey responses, client-level factors, and program-level client characteristic mix.

RESULTS

Of 9583 opioid treatment admissions in non-OTP settings, 41 % included treatment plans involving MOUD. Programs where directors reported staff concerns about buprenorphine's efficacy or diversion had a lower proportion of clients with planned MOUD, as did programs reporting too little physical space to prescribe. Being self-referred to treatment, unemployed and not looking for work, aged 30-49, heroin use (vs. prescription opioid use), and stimulant use in addition to opioids, were positively associated with planned MOUD; while non-Medicaid insurance, and Black and Hispanic race/ethnicity, were negatively associated with planned MOUD. Clients were more likely to have planned MOUD if their programs had a higher proportion of clients aged 30 or older, heroin as primary "drug of abuse," stimulant use, and not working but actively looking for work.

CONCLUSION

Findings suggest addressing program staff attitudes toward buprenorphine could help increase planned MOUD. There is also a need to improve access for clients with non-Medicaid insurance, address within-program race and ethnic disparities, and address employment-related barriers to medication.

Payment-related barriers to medications for opioid use disorder: A critical review of the literature and real-world application

BACKGROUND

The national opioid crisis continues to intensify, despite the fact that opioid use disorder (OUD) is treatable and opioid overdose deaths are preventable through first-line treatment with medications for opioid use disorder (MOUD). This study identifies and categorizes payment-related barriers that impact MOUD access and retention from both the provider and patient perspectives and provides insight into how these barriers can be addressed.

METHODS

We performed a critical review of the literature (peer-reviewed studies and relevant documents from the gray literature) to identify payment-related access and retention barriers to MOUD. We used the results of this review to develop an analytic framework to understand how payment impacts MOUD access and retention for both providers and patients. In addition, we reviewed action plans developed by Massachusetts communities that participated in the Healing Communities Study (HCS) to analyze which payment-related barriers were addressed through the study.

RESULTS

We identified 18 payment-related barriers that patients or providers face when initiating or continuing MOUD with either methadone or buprenorphine in Opioid Treatment Programs (OTP) and non-OTP settings. Patient-related barriers mainly relate to health insurance coverage or the design of health plans (e.g., cost sharing, covered benefits) resulting in direct (medical and non-medical) and indirect costs that can affect both access and retention, especially as they relate to services provided in OTPs. Provider-related barriers include low reimbursement and administrative burden and are most likely to impact access to MOUD. Evidence-based strategies to expand MOUD as part of the HCS in Massachusetts targeted about half of the patient and provider payment-related barriers identified.

CONCLUSION

Patients and providers face an array of payment-related barriers that impact access to and retention on MOUD, most of which relate to inadequate health insurance coverage, features of health plans, and key federal and state policies. As new regulatory policies are enacted that expand access to MOUD, such as greater flexibility in OTPs and MOUD delivered via telehealth, it will be important to align these delivery changes with payment reform involving payers, providers, and policymakers.

Overdose deaths before and during the COVID-19 pandemic in a US county

Introduction

Globally, overdose deaths increased near the beginning of the COVID-19 pandemic, which created availability and access barriers to addiction and social services. Especially in times of a crisis like a pandemic, local exposures, service availability and access, and system responses have major influence on people who use drugs. For policy makers to be effective, an understanding at the local level is needed.

Methods

This retrospective epidemiologic study from 2019 through 2021 compares immediate and 20-months changes in overdose deaths from the pandemic start to 16 months before its arrival in Pinellas County, FL We examine toxicologic death records of 1,701 overdoses to identify relations with interdiction, and service delivery.

Results

There was an immediate 49% increase (95% CI 23-82%, p < 0.0001) in overdose deaths in the first month following the first COVID deaths. Immediate increases were found for deaths involving alcohol (171%), heroin (108%), fentanyl (78%), amphetamines (55%), and cocaine (45%). Overdose deaths remained 27% higher (CI 4-55%, p = 0.015) than before the pandemic through 2021.Abrupt service reductions occurred when the pandemic began: in-clinic methadone treatment dropped by two-thirds, counseling by 38%, opioid seizures by 29%, and drug arrests by 56%. Emergency transport for overdose and naloxone distributions increased at the pandemic onset (12%, 93%, respectively) and remained higher through 2021 (15%, 377%,). Regression results indicate that lower drug seizures predicted higher overdoses, and increased 911 transports predicted higher overdoses. The proportion of excess overdose deaths to excess non-COVID deaths after the pandemic relative to the year before was 0.28 in Pinellas County, larger than 75% of other US counties.

Conclusions

Service and interdiction interruptions likely contributed to overdose death increases during the pandemic. Relaxing restrictions on medical treatment for opioid addiction and public health interventions could have immediate and long-lasting effects when a major disruption, such as a pandemic, occurs. County level data dashboards comprised of overdose toxicology, and interdiction and service data, can help explain changes in overdose deaths. As a next step in predicting which policies and practices will best reduce local overdoses, we propose using simulation modeling with agent-based models to examine complex interacting systems.

Emergency Department Peer Support Program and Patient Outcomes After Opioid Overdose

Importance

Patients treated in emergency departments (EDs) for opioid overdose often need drug treatment yet are rarely linked to services after discharge. Emergency department-based peer support is a promising approach for promoting treatment linkage, but evidence of its effectiveness is lacking.

Objective

To examine the association of the Opioid Overdose Recovery Program (OORP), an ED peer recovery support service, with postdischarge addiction treatment initiation, repeat overdose, and acute care utilization.

Design, Setting, and Participants

This intention-to-treat retrospective cohort study used 2014 to 2020 New Jersey Medicaid data for Medicaid enrollees aged 18 to 64 years who were treated for nonfatal opioid overdose from January 2015 to June 2020 at 70 New Jersey acute care hospitals. Data were analyzed from August 2022 to November 2023.

Exposure

Hospital OORP implementation.

Main Outcomes and Measures

The primary outcome was medication for opioid use disorder (MOUD) initiation within 60 days of discharge. Secondary outcomes included psychosocial treatment initiation, medically treated drug overdoses, and all-cause acute care visits after discharge. An event study design was used to compare 180-day outcomes between patients treated in OORP hospitals and those treated in non-OORP hospitals. Analyses adjusted for patient demographics, comorbidities, and prior service use and for community-level sociodemographics and drug treatment access.

Results

A total of 12 046 individuals were included in the study (62.0% male). Preimplementation outcome trends were similar for patients treated in OORP and non-OORP hospitals. Implementation of the OORP was associated with an increase of 0.034 (95% CI, 0.004-0.064) in the probability of 60-day MOUD initiation in the half-year after implementation, representing a 45% increase above the preimplementation mean probability of 0.075 (95% CI, 0.066-0.084). Program implementation was associated with fewer repeat medically treated overdoses 4 half-years (-0.086; 95% CI, -0.154 to -0.018) and 5 half-years (-0.106; 95% CI, -0.184 to -0.028) after implementation. Results differed slightly depending on the reference period used, and hospital-specific models showed substantial heterogeneity in program outcomes across facilities.

Conclusions and Relevance

In this cohort study of patients treated for opioid overdose, OORP implementation was associated with an increase in MOUD initiation and a decrease in repeat medically treated overdoses. The large variation in outcomes across hospitals suggests that treatment effects were heterogeneous and may depend on factors such as implementation success, program embeddedness, and availability of other hospital- and community-based OUD services.

Implementation of an office-based addiction treatment model for Medicaid enrollees: A mixed methods study

INTRODUCTION

Medications for opioid use disorder (MOUD) are the most effective treatment for opioid use disorder (OUD) but remain underutilized. To reduce barriers to MOUD prescribing and increase treatment access, New Jersey's Medicaid program implemented the Office-Based Addiction Treatment (OBAT) Program in 2019, which increased reimbursement for office-based buprenorphine prescribing and established newly reimbursable patient navigation services in OBAT clinics. Using a mixed-methods design, this study aimed to describe stakeholder experiences with the OBAT program and to assess implementation and uptake of the program.

METHODS

This study used a concurrent, triangulated mixed-methods design, which integrated complementary qualitative (semi-structured interviews) and quantitative (Medicaid claims) data to gain an in-depth understanding of the implementation of the OBAT program. We elicited stakeholder perspectives through interviews with 22 NJ Medicaid MOUD providers and 8 policy key informants, and examined trends in OBAT program utilization using 2019-2020 NJ Medicaid claims for 5380 Medicaid enrollees who used OBAT services. We used cross-case analysis (provider interviews) and a case study approach (key informant interviews) in analyzing qualitative data, and calculated descriptive statistics and trends for quantitative data.

RESULTS

Provider enrollment and utilization of OBAT services increased steadily during the first two years of program implementation. Interviewees reported that enhanced reimbursements for office-based MOUD incentivized greater MOUD prescribing, while coverage of patient navigation services improved patient care. Despite increasing enrollment in the OBAT program, the proportion of primary care physicians in the state who enrolled in the program remained limited. Key barriers to enrollment included: requirements for a patient navigator; concerns about administrative burdens and reimbursement delays from Medicaid; lack of awareness of the program; and beliefs that patients with OUD were better served in comprehensive care settings. Patient navigation was highlighted as a critical and valuable element of the program, but navigator enrollment and reimbursement challenges may have prevented greater uptake of this service.

CONCLUSIONS

Implementation of an OBAT model that enhanced reimbursement and provided coverage for patient navigation likely expanded access to MOUD in NJ. Results support initiatives like the OBAT program in improving access to MOUD, but program adaptations, where feasible, could improve uptake and utilization.

Trends in buprenorphine dosage and days supplied for new treatment episodes for opioid use disorder, 2010-2019

BACKGROUND

Buprenorphine reduces risk of opioid overdose mortality. However, its benefits are limited by low retention, particularly in early treatment. Optimizing initial dosage may impact retention. However, little is known about the prescription characteristics of new buprenorphine treatment episodes.

METHODS

In a US sample of commercial and employer-sponsored pharmacy claims, we identified new buprenorphine treatment episodes (days 1-30) from individuals ≥16 years following 90 days without buprenorphine from 2010 to 2019. Outcomes included first prescription average days supplied, first prescription average daily dosage, and average dosage on days 2, 8, 15 and 30.

RESULTS

We identified 117,793 new episodes among 96,451 unique individuals. Episodes per 10,000 person-years decreased slightly over time. Stratifying by age, sex and region demonstrated decreasing episodes among individuals ≤34 years and increasing episodes among individuals ≥35 years. From 2010-2019, first prescription average days supplied and daily dosage decreased from 17.1 to 15.3 days and 13.6mg to 11.6mg, respectively. Simultaneously, the proportion of episodes without possession and with dosages <16mg increased across all days and years. By day 30, episodes without buprenorphine possession grew from 27.9% to 30.8% and episodes involving dosages of <16mg grew from 26.4% to 33.4%.

CONCLUSIONS

We found that buprenorphine dosage and days supplied for new treatment episodes decreased from 2010 to 2019 while buprenorphine possession worsened. Further investigation examining the relationship between buprenorphine dosage and retention in the early treatment period is needed.

Opioid use disorder treatment and the role of New Jersey Medicaid policy changes: perspectives of office-based buprenorphine providers

Background: In the US, seventy percent of drug-related deaths are attributed to opioids. In response to the ongoing opioid crisis, New Jersey's (NJ) Medicaid program implemented the MATrx model to increase treatment access for Medicaid participants with opioid use disorder (OUD). The model's goals include increasing the number of office-based treatment providers, enhancing Medicaid reimbursement for certain treatment services, and elimination of prior authorizations for OUD medications.Objectives: To explore office-based addiction treatment providers' experiences delivering care in the context of statewide policy changes and their perspectives on treatment access changes and remaining barriers.Methods: This qualitative study used purposive sampling to recruit office-based New Jersey medications for opioid use disorder (MOUD) providers . Twenty-two providers (11 females, 11 males) discussed treatment experiences since the policy changes in 2019, including evaluations of the current state of OUD care in New Jersey and perceived outcomes of the MATrx model policy changes.Results: Providers reported the MOUD climate in NJ improved as Medicaid implemented policies intended to reduce barriers to care and increase treatment access. Elimination of prior authorizations was noted as important, as it reduced provider burden and allowed greater focus on care delivery. However, barriers remained, including stigma, pharmacy supply issues, and difficulty obtaining injectable or non-generic medication formulations.Conclusion: NJ policies may have improved access to care for Medicaid beneficiaries by reducing barriers to care and supporting providers in prescribing MOUD. Yet, stigma and lack of psychosocial supports still need to be addressed to further improve access and care quality.