Clinician Willingness to Prescribe Medications for Opioid Use Disorder to Adolescents in Indiana

If you need an accessible version of this item, please email your request to digschol@iu.edu so that they may create one and provide it to you.
Date
2024-09-03
Language
American English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
American Medical Association
Abstract

Importance: Prescribing medications for opioid use disorders (MOUD), including buprenorphine, naltrexone, and methadone, to adolescents remains an underused evidence-based strategy for reducing harms associated with opioid use.

Objective: To identify potential associations between clinician- and community-level characteristics regarding clinicians' self-reported willingness to prescribe MOUD to adolescents.

Design, setting, and participants: This cross-sectional study included a phone survey of Indiana clinicians and spatial analysis of community-level characteristics. Clinicians were eligible for inclusion in analyses if actively providing health care and listed on the Buprenorphine Practitioner Locator website, a publicly available national registry of clinicians possessing a waiver to legally prescribe buprenorphine (ie, waivered clinicians).

Exposures: Community-level characteristics, including total population, rurality or urbanicity, percentage with incomes below the federal poverty line, and racial or ethnic makeup.

Main outcomes and measures: Clinicians were asked about their willingness to prescribe MOUD to adolescents younger than 18 years if clinically indicated. Responses were recorded as no, yes, or yes with conditions.

Results: Among the 871 clinicians listed on the website as of July 2022, 832 were eligible for inclusion and contacted by phone. Among waivered clinicians, 759 (91.2%) reported being unwilling to prescribe MOUD to adolescents, 73 clinicians (8.8%) reported willingness to prescribe MOUD to adolescents, and only 24 (2.9%) would do so without conditions. A multivariable logistic regression model including spatially lagged community-level variables showed that, among areas with waivered clinicians, clinicians practicing in more populated areas were significantly less likely to prescribe to adolescents (β = 0.65; 95% CI, 0.49-0.87; P = .003). Similarly, those in more rural areas were significantly more likely to prescribe to adolescents (β = 1.27; 95% CI, 1.02-1.58; P = .03). Variation in clinician willingness to prescribe was not explained by other community-level characteristics. Among all waivered clinicians, advanced practice clinicians were less likely than physicians to report willingness to prescribe (β = 0.58; 95% CI, 0.35-0.97; P = .04), as were physicians without any specialty training relevant to MOUD prescribing when compared with family medicine clinicians (β = 0.40; 95% CI, 0.18-0.89; P = .03). A small subgroup of waivered clinicians had training in pediatrics (13 clinicians [1.6%]), and none were willing to prescribe MOUD to adolescents.

Conclusions and relevance: From this cross-sectional study, it appears that Indiana adolescents continued to face gaps in access to MOUD treatment, despite its well-established efficacy. Programs that support primary care practitioners, including family medicine clinicians and pediatricians, in safe and appropriate use of MOUD in adolescents may bridge these gaps.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Aalsma MC, Bell LA, Schwartz K, et al. Clinician Willingness to Prescribe Medications for Opioid Use Disorder to Adolescents in Indiana. JAMA Netw Open. 2024;7(9):e2435416. Published 2024 Sep 3. doi:10.1001/jamanetworkopen.2024.35416
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
JAMA Network Open
Source
PMC
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Full Text Available at
This item is under embargo {{howLong}}