Buprenorphine use among non-hospital residential programs.

Medications for opioid use disorder Opioid use disorder Residential treatment

Journal

Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587

Informations de publication

Date de publication:
26 Sep 2024
Historique:
received: 04 06 2024
revised: 14 09 2024
accepted: 19 09 2024
medline: 7 10 2024
pubmed: 7 10 2024
entrez: 6 10 2024
Statut: aheadofprint

Résumé

The purpose of this study is to investigate the use of buprenorphine within non-hospital residential programs. We hypothesize that programs offering long-term treatment will be less likely to accept or prescribe buprenorphine, but those that accept public insurance will demonstrate relative increased likelihood of buprenorphine availability. This study analyzed data from the 2021 National Substance Use and Mental Health Services Survey. The analytic sample (n=3654) included a subset of facilities that reported providing only substance use treatment, including three non-mutually exclusive service types: detox, short-term, and long-term. A logistic regression examined the association between buprenorphine availability and residential service type, holding constant characteristics associated with the outcome of interest. We then tested an interaction between public insurance and long-term service type on the outcome of interest. While long-term service type was associated with reduced odds of buprenorphine availability (OR=.288, p <.05), programs that both offered long-term residential programs and accepted public health insurance had 3.5 higher odds of accepting or prescribing buprenorphine (OR=4.586, p<.01) compared to long-term programs without public insurance. Patients who require treatment of longer duration may face barriers to buprenorphine availability; however, public insurance acceptance may increase odds of availability of buprenorphine among long-term programs.

Sections du résumé

BACKGROUND BACKGROUND
The purpose of this study is to investigate the use of buprenorphine within non-hospital residential programs. We hypothesize that programs offering long-term treatment will be less likely to accept or prescribe buprenorphine, but those that accept public insurance will demonstrate relative increased likelihood of buprenorphine availability.
METHOD METHODS
This study analyzed data from the 2021 National Substance Use and Mental Health Services Survey. The analytic sample (n=3654) included a subset of facilities that reported providing only substance use treatment, including three non-mutually exclusive service types: detox, short-term, and long-term. A logistic regression examined the association between buprenorphine availability and residential service type, holding constant characteristics associated with the outcome of interest. We then tested an interaction between public insurance and long-term service type on the outcome of interest.
RESULTS RESULTS
While long-term service type was associated with reduced odds of buprenorphine availability (OR=.288, p <.05), programs that both offered long-term residential programs and accepted public health insurance had 3.5 higher odds of accepting or prescribing buprenorphine (OR=4.586, p<.01) compared to long-term programs without public insurance.
IMPLICATIONS CONCLUSIONS
Patients who require treatment of longer duration may face barriers to buprenorphine availability; however, public insurance acceptance may increase odds of availability of buprenorphine among long-term programs.

Identifiants

pubmed: 39369475
pii: S0376-8716(24)01381-4
doi: 10.1016/j.drugalcdep.2024.112456
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112456

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None

Auteurs

Cynthia Nichols (C)

School of Social Work, University of Connecticut, Hartford, CT, United States. Electronic address: Cynthia.nichols@uconn.edu.

Daniel Baslock (D)

School of Social Work, Virginia Commonwealth University, United States.

Margaret Lloyd Sieger (ML)

Department of Population Health, University of Kansas School of Medicine, United States.

Classifications MeSH