The Predictive Value of Degree of Preference for Extended-Release Naltrexone for Treatment Adherence, Opioid Use, and Relapse

Patient and provider medication preferences affect treatment outcomes among adolescents and young adults with opioid use disorder

BACKGROUND

The opioid epidemic in the United States has not spared youth or young adults, as evidenced by a six-fold increase in opioid use disorder (OUD) diagnoses in the last two decades. Given this dramatic rise, a call for greater uptake and accessibility of medications for opioid use disorder (MOUDs) among youth and young adults has ensued, resulting in an increasing number of MOUD treatment pathways for this vulnerable population.

METHODS

This secondary data analysis seeks to characterize patient and provider preferences for MOUD treatment pathways, and test for associations between baseline MOUD treatment preferences and opioid use and treatment adherence outcomes. Participants included 288 youth and young adults (age 15-21 years), recruited from a residential treatment program in Maryland. The study assessed patient preferences at baseline (n = 253) and provider preferences at patient treatment discharge (n = 224). Mixed-effects negative binomial regression models were conducted for opioid use outcomes, and logistic regressions were conducted for treatment adherence outcomes.

RESULTS

Results indicate that congruence of treatment with patients' (Incidence Rate Ratio [IRR] = 0.65) and providers' (IRR = 0.66) preferences was significantly associated with reduced self-reported days of opioid use in the past 90 days, but only for patients receiving extended-release naltrexone (XR-NTX). Results also indicated that patients were less likely to switch medication treatment pathways (e.g., from XR-NTX to buprenorphine, or vice versa) during follow-up if they received their preferred treatment at baseline, a finding which held true for both XR-NTX (Odds Ratio [OR] = 0.32) and buprenorphine (OR = 0.22).

CONCLUSIONS

Receipt of MOUD congruent with patient and provider preferences was associated with reduced opioid use and greater treatment adherence in this sample of youth and young adults with OUD.

Retention in treatment and therapeutic adherence: How are these associated with therapeutic success? An analysis using real-world data

INTRODUCTION

Treatment retention and adherence are used as outcomes in numerous randomized clinical trials and observational studies conducted in the addiction field. Although usual criteria are 3/6 months of treatment retention or number of sessions attended, there is not a methodological support for conclusions using these criteria. This study analyzed the usefulness of retention and adherence to predict therapeutic success.

METHODS

Retrospective observational study using real-world data from electronic health records of 11,907 patients in treatment diagnosed with cocaine, alcohol, cannabis and opiate use disorders or harmful use.

RESULTS

Moderate effect size relations were found between the different type of clinical discharge and months in retention (η²  = 0.12) and proportion of attendance (η²  = 0.10). No relationship was found with the number of sessions attended. Using cut-off points (i.e., 3 or 6 months in treatment or attending 6 therapy sessions) worsens the ability to predict the type of discharge.

DISCUSSIONS/CONCLUSION

Treatment retention and adherence are indicators moderately related to therapeutic success. Research using these indicators to assess the effectiveness of therapies should complement their results with other clinical indicators and quality of life measures.

Feasibility of Testing Client Preferences for Accessing Injectable Opioid Agonist Treatment (iOAT): A Pilot Study

PURPOSE

Injectable opioid agonist treatment (iOAT) is an effective treatment for opioid use disorder (OUD). To our knowledge, no research has systematically studied client preferences for accessing iOAT. Incorporating preferences could help meet the heterogenous needs of clients and make addiction care more person-centred. This paper presents a pilot study of a best-worst scaling (BWS) preference elicitation survey that aimed to assess if the survey was feasible and accessible for our population and to test that the survey could gather sound data that would suit our planned analyses.

PATIENTS AND METHODS

Current and former iOAT clients (n = 18) completed a BWS survey supported by an interviewer using a think-aloud approach. The survey was administered on PowerPoint, and responses and contextual field notes were recorded manually. Think-aloud audio was recorded on Audacity.

RESULTS

Clients' feedback fell into five categories: framing of the task, accessibility, conceptualization of attributes and levels, formatting, and behaviour predicting questions. Survey repetitiveness was the most consistent feedback. The data simulation showed that 100 responses should provide an adequate sample size.

CONCLUSION

This pilot demonstrates the type of analysis that can be done with BWS in our population, suggests that such analysis is feasible, and highlights the importance of the interviewer and participant working side-by-side throughout the task.