Evidence map›Paper›PMID 39320891›Full record

ArticleJAMA network open2024

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

Matthew C Aalsma, Lauren A Bell, Katherine Schwartz, Fangqian Ouyang, Marynia Kolak, Patrick O Monahan, Sharon P Mermelstein, Ian Carson, Leslie A Hulvershorn, Zachary W Adams

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Article
  4. Canada's youth are part of the opioid crisis and need treatment.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Matthew C AalsmaDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis.
Lauren A BellDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis.
Katherine SchwartzDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis.
Fangqian OuyangDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis.
Marynia KolakDepartment of Geography and Geographic Information Science, School of Earth, Society, and Environment, University of Illinois Urbana-Champaign, Urbana.
Patrick O MonahanDepartment of Biostatistics and Health Data Science, School of Medicine, Fairbanks School of Public Health, Simon Comprehensive Cancer Center, Indiana University, Indianapolis.
Sharon P MermelsteinDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Ian CarsonDepartment of Psychology, School of Science, Indiana University Indianapolis, Indianapolis.
Leslie A HulvershornDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Zachary W AdamsDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.

Funding

Alliance to Disseminate Addiction Prevention and Treatment (ADAPT): A Statewide Learning Health System to Reduce Substance Use among Justice-Involved Youth in Rural Communities.UG1DA050070 · NIDA · INDIANA UNIVERSITY INDIANAPOLIS · PI AALSMA, MATTHEW · 2019 to 2023
$5.7M
Workforce and System Change to Treat Adolescent Opioid Use Disorder within Integrated Pediatric Primary CareR61DA059948 · NIDA · INDIANA UNIVERSITY INDIANAPOLIS · PI AALSMA, MATTHEW, ADAMS, ZACHARY WILLIAM · 2023 to 2023
$573k
NIDA NIH HHS R61 DA059948NIDA NIH HHS UG1 DA050070
6 · The paper itself

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.

Indexed as

Opioid-Related DisordersPractice Patterns, Physicians'AdolescentAdultAnalgesics, OpioidAttitude of Health PersonnelBuprenorphineCross-Sectional StudiesFemaleHumansIndianaMaleMethadoneMiddle AgedNaltrexoneOpiate Substitution TreatmentAnalgesics, OpioidBuprenorphineMethadoneNaltrexone

Identifiers

PMID39320891
PMCPMC11425143

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.