Assessing Opioid Use Disorder Treatments in Trials Subject to Non-Adherence via a Functional Generalized Linear Mixed-Effects Model
Bibliographic Data
| ID | 15512473 |
|---|---|
| Authors | Madeleine St Ville (0000-0002-9863-9720, Clemson University), Andrew W Bergen (0000-0002-1237-7644, Oregon Research Institute), James W Baurley (0000-0003-4116-7723, BioRealm (United States)), Joe Bible (0000-0002-7010-5321, Clemson University), Joe D Bible (Clemson University), Christopher S McMahan (0000-0001-5056-9615, Clemson University, corresponding author) |
| Year | 2022 |
| Volume | 19 |
| Issue | 9 |
| Pages | 5456-5456 |
| Publication date | 2022-04-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19095456 |
| PMID | 35564851 |
| OpenAlex | W4225159023 |
| Language | EN |
| References cited | 18 |
The opioid crisis in the United States poses a major threat to public health due to psychiatric and infectious disease comorbidities and death due to opioid use disorder (OUD). OUD is characterized by patterns of opioid misuse leading to persistent heavy use and overdose. The standard of care for treatment of OUD is medication-assisted treatment, in combination with behavioral therapy. Medications for opioid use disorder have been shown to improve OUD outcomes, including reduction and prevention of overdose. However, understanding the effectiveness of such medications has been limited due to non-adherence to assigned dose levels by study patients. To overcome this challenge, herein we develop a model that views dose history as a time-varying covariate. Proceeding in this fashion allows the model to estimate dose effect while accounting for lapses in adherence. The proposed model is used to conduct a secondary analysis of data collected from six efficacy and safety trials of buprenorphine maintenance treatment. This analysis provides further insight into the time-dependent treatment effects of buprenorphine and how different dose adherence patterns relate to risk of opioid use
Buprenorphine · Intensive care medicine · Opioid · Opioid use disorder · Psychiatry · Public health · HIV, Drug Use, Sexual Risk · Medicine · Nursing · Opioid Use Disorder Treatment · Substance Abuse Treatment and Outcomes · Internal Medicine
Functional Data Analysis
The Bayesian Lasso
Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence
A comparison of Bayesian and likelihood-based methods for fitting multilevel models
Effects of Buprenorphine Dose and Therapeutic Engagement on Illicit Opiate Use in Opioid Use Disorder Treatment Trials
| Highly cited | No |
|---|