Evidence map›Paper›PMID 38641055›Full record

Observational studyJournal of substance use and addiction treatment2024

Composition of buprenorphine prescribing networks in Medicaid and association with quality of care.

Jane M Zhu, Christina J Charlesworth, Bradley D Stein, Coleman Drake, Daniel Polsky, P Todd Korthuis, K John McConnell

Abstract readObservational Study
In one paragraph

Observational study in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jane M ZhuDivision of General Internal Medicine, Oregon Health & Science University, Portland, OR, USA. Electronic address: zhujan@ohsu.edu.
Christina J CharlesworthCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland, OR, USA.
Bradley D SteinRAND Corporation, Pittsburgh, PA, USA.
Coleman DrakeDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA.
Daniel PolskyDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, USA.
P Todd KorthuisDivision of General Internal Medicine, Oregon Health & Science University, Portland, OR, USA.
K John McConnellCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland, OR, USA.

Funding

Mental Health Provider Networks in Medicaid and Implications for Care Utilization and Health OutcomesK08MH123624 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI ZHU, JANE MINGJIA · 2020 to 2023
$756k
NIMH NIH HHS K08 MH123624
6 · The paper itself

Abstract

introductionDespite Medicaid's outsized role in delivering and financing medications for opioid use disorder (MOUD), little is known about the extent to which buprenorphine prescriber networks vary across Medicaid health plans, and whether network characteristics affect quality of treatment received. In this observational cross-sectional study, we used 2018-2019 Medicaid claims in Oregon to assess network variation in the numbers and types of buprenorphine prescribers, as well as the association of prescriber and network characteristics with quality of care.

methodsWe describe prescribers (MD/DOs and advanced practice providers) of OUD-approved buprenorphine formulations to patients with an OUD diagnosis, across networks. For each patient who initiated buprenorphine treatment during 2018, we assigned a "usual prescriber" and assessed four measures of quality in the 180d following initiation: 1) continuous receipt of buprenorphine; 2) receipt of any behavioral health counseling services; 3) receipt of any urine drug screen; and 4) receipt of any prescription for a benzodiazepine. We used multivariable linear regressions to examine the association of prescriber and network characteristics with quality of buprenorphine care following initiation.

resultsWe identified 645 providers who prescribed buprenorphine to 20,739 eligible Medicaid enrollees with an OUD diagnosis. The composition of buprenorphine prescriber networks varied in terms of licensing type, specialty, and panel size, with the majority of prescribers providing buprenorphine to small panels of patients. In the 180 days following initiation, a third of patients were maintained on buprenorphine; 69.9 % received behavioral health counseling; 88.4 % had a urine drug screen; and 11.3 % received a benzodiazepine prescription. In regression analyses, while no single network characteristic was associated with higher quality across all examined measures, each one unit increase in prescriber-to-enrollee ratio was associated with a 1.18 p.p. increase in the probability of continuous buprenorphine maintenance during the 180 days following initiation (95 % confidence interval = [0.21, 2.15], p = 0.017).

conclusionsMedicaid plans may be able to leverage their networks to provide higher quality care. Our findings, which should be interpreted as descriptive only, suggest that higher prescriber-to-enrollee ratio is associated with increased buprenorphine maintenance. Future research should focus on isolating the causal relationships between MOUD prescribing network design and patient outcomes.

Indexed as

BuprenorphineMedicaidOpiate Substitution TreatmentOpioid-Related DisordersQuality of Health CareAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedOregonPractice Patterns, Physicians'United StatesBuprenorphineAccess to careBuprenorphineMedicaidOUDProvider networks

Identifiers

PMID38641055
PMCPMC11203204

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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.