Evidence map›Paper›PMID 42778769›Full record

ArticleThe journal of behavioral health services & research2026

Clinician-Level Variation in MAUD Prescribing: The Role of Behavioral Health Experience.

Sarah A Friedman, Ying Guo, Lex Owen, Lung-Chang Chien, Stephanie Woodard, Michelle S Keller

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Article in The journal of behavioral health services & research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Sarah A FriedmanSchool of Public Health, University of Nevada Reno, Reno, NV, USA. sfriedman@unr.edu.
Ying GuoSchool of Public Health, University of Nevada Las Vegas, Las Vegas, NV, USA.
Lex OwenSchool of Social Work, University of Nevada Reno, Reno, NV, USA.
Lung-Chang ChienSchool of Public Health, University of Nevada Las Vegas, Las Vegas, NV, USA.
Stephanie WoodardSchool of Public Health, University of Nevada Reno, Reno, NV, USA.
Michelle S KellerLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.

Funding

Tracking and EvaluationU54GM104944 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI KUMAR, PARVESH · 2013 to 2023
$39.6M
Intramural Research Program, National Institute on Drug Abuse 1R15DA049195-01A1NIGMS NIH HHS U54 GM104944
6 · The paper itself

Abstract

Less than 10% of Medicaid patients diagnosed with AUD in the USA received medication treatment for AUD (MAUD), despite its proven clinical effectiveness. Documenting clinician MAUD prescribing patterns can suggest solutions. Do clinicians with behavioral health (BH) experience have higher rates of MAUD prescribing in a Medicaid program in a state with a low supply of clinicians? This cross-sectional study used Nevada Medicaid professional and pharmacy claims data (2016-2019) to identify 7003 clinicians who prescribed to patients with alcohol use disorder (AUD). BH experience (exposure) was determined by (1) BH specialty from taxonomy, (2) BH patient volume above the median number of BH patients (n = 15), and (3) buprenorphine prescribing during the study period. Logistic regressions estimated adjusted odds ratios (aORs) for any prescribing, controlling for clinician characteristics. Zero-inflated negative binomial regressions estimated incidence rate ratios for the number of MAUD-prescribed patients and MAUD prescriptions. Only 8% (n = 541) of the study cohort prescribed MAUD. Clinicians with BH experience had higher odds of prescribing MAUD: those with BH specialty versus primary care (aOR 7.6, 95% CI 5.8-9.9), those who prescribed buprenorphine versus those who did not (aOR 3.9, 95% CI 2.9-5.3), and those with high versus low BH patient volume (aOR 6.1, 95% CI 4.4-8.4). Clinicians with BH experience had significantly higher counts of MAUD-prescribed patients and MAUD prescriptions than other clinicians. Amid MAUD underuse, clinicians with BH experience were instrumental MAUD prescribers for Nevada's Medicaid population. Expanding BH and primary care integration/colocation, increasing the BH workforce, and providing additional BH training in primary care could improve MAUD access.

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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.