Latent class analysis of perceived stigma among older adults receiving medications for opioid use disorder

RATIONALE

Public stigma surrounds individuals who use medication for their recovery from a substance use disorder. However, we know little about subgroups of individuals with varying levels of perceived stigma and how these levels may be associated with physical and mental health-related quality of life (HRQOL) and social support.

METHODS

We used latent class analysis to define subgroups of people aged 50-72 years of age (N = 104) who were enrolled in eight medication for opioid use disorder (MOUD) programs to explore subgroupings and correlates of group membership.

RESULTS

We found evidence for three distinct classes of individuals and named the classes 1) the high stigma class, 2) the embarrassed class, and 3) the low stigma class. We found that people in the high-stigma class reported more rejection, more abstinence-based support group involvement, and reduced mental HRQOL.

CONCLUSIONS

Results suggest reducing stigma among people on MOUD may help to boost mental HRQOL and improve social support receipt. The results are consistent with iatrogenic effects of AA/NA support groups such that these treatment modalities may increase stigma due to their focus on abstinence-only treatment for substance use disorders.

What can we learn from COVID-19 to improve opioid treatment? Expert providers respond

BACKGROUND

The COVID-19 pandemic has had devasting effects on drug abuse treatment systems already stressed by the opioid crisis. Providers within opioid use disorder (OUD) outpatient treatment programs have had to adjust to rapid change and respond to new service delivery provisions such as telehealth and take-home medication. Using the COVID-19 pandemic and subsequent organizational challenges as a backdrop, this study explores providers' perspectives about strategies and policies that, if made permanent, can potentially improve access to and quality of OUD treatment.

METHODS

This qualitative study was conducted in Los Angeles County, which has one of the largest substance use disorder (SUD) treatment systems in the United States serving a diverse population, including communities impacted by the opioid crisis. We collected qualitative interview data from 30 high-performing programs (one manager/supervisor per program) where we based high performance on empirical measures of access, retention, and program completion outcomes. The study team completed data collection and analysis using constructivist grounded theory (CGT) to describe the social processes in which the participating managers engaged when faced with the pandemic and subsequent organizational changes. We developed 14 major codes and six minor codes with definitions. The interrater reliability tests showed pooled Cohen's kappa statistic of 93 %.

RESULTS

Our results document the impacts of COVID-19 on SUD treatment systems, their programmatic responses, and the strategic innovations they developed to improve service delivery and quality and which managers plan to sustain within their organizations.

CONCLUSION

Providers identified three primary areas for strategic innovation designed to improve access and quality: (1) designing better medication utilization, (2) increasing telemedicine capacity, and (3) improving reimbursement policies. These strategies for system transformation enable us to use lessons from the COVID-19 pandemic to direct policy and programmatic reform, such as expanding eligibility for take-home medication and enhancing access to telehealth services.

Black clients in expansion states who used opioids were more likely to access medication for opioid use disorder after ACA implementation

INTRODUCTION

Black people in the United States who use opioids receive less treatment and die from overdoses at higher rates than White people. Medication for opioid use disorder (MOUD) decreases overdose risk. Implementation of the Affordable Care Act (ACA) in the United States was associated with an increase in MOUD. To what extent racial disparity exists in MOUD following ACA implementation remains unclear. Using a national sample of people seeking treatment for opioids (clients), we compared changes in MOUD after the ACA to determine whether implementation was associated with increased MOUD for Black clients relative to White clients.

METHODS

We identified 878,110 first episodes for clients with opioids as primary concern from SAMHDA's Treatment Episodes Dataset-Admissions (TEDS-A; 2007-2018). We performed descriptive and logistic regression analyses to estimate odds of MOUD for Black and White clients by Medicaid expansion status. We interacted ACA implementation with racial group and performed subpopulation analyses for Medicaid enrollees and criminal justice-referred clients.

RESULTS

In expansion states post-ACA, MOUD increased from 33.6% to 51.3% for White clients and from 36.2% to 61.7% for Black clients. Pre-ACA, Black clients were less likely than White clients to use MOUD (adjusted odds ratio (aOR) = 0.88, 99th Confidence Interval (CI) = [0.85, 0.91]), and post-ACA, the change in odds of MOUD did not differ. Criminal justice-referred clients experienced less of a change in odds of MOUD among Black clients than among White clients (aOR = 0.74, CI = [0.62, 0.89]). Among Medicaid-insured clients, the change in odds of MOUD among Black clients was larger (aOR = 1.16, CI = [1.03, 1.30]). In the non-expansion states before 2014, Black clients were less likely to receive MOUD (aOR = 0.86, CI = [0.77, 0.95]) than White clients. After 2014, the change in odds of MOUD increased more for Black clients relative to White clients (aOR = 1.24, CI = [1.07, 1.44]). We did not find significant changes in MOUD for clients referred through the criminal justice system or with Medicaid.

CONCLUSION

The ACA was associated with increased use of MOUD among Black clients and reduction in treatment disparity between Black and White clients. For criminal justice-referred Black clients, disparities in MOUD persist. Black clients with Medicaid in expansion states had the greatest reduction in disparities.