Evidence map›Paper›PMID 34600259›Full record

ArticleDrug and alcohol dependence2021

Buprenorphine prescriber monthly patient caseloads: An examination of 6-year trajectories.

Irineo Cabreros, Beth Ann Griffin, Brendan Saloner, Adam J Gordon, Rose Kerber, Bradley D Stein

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Irineo CabrerosRAND Corporation, 20 Park Plaza, 9th Floor, Suite 920, Boston, MA 02116, USA. Electronic address: cabreros@rand.org.
Beth Ann GriffinRAND Corporation, 1200 South Hayes Street, Arlington, VA 22202, USA. Electronic address: bethg@rand.org.
Brendan SalonerDepartment of Health Policy and Management, Johns Hopkins University, 615N. Wolfe Street, Baltimore, MD 21205, USA. Electronic address: bsaloner@jhu.edu.
Adam J GordonInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA; Program for Addiction Research, Clinical Care, Knowledge and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT 84132, USA. Electronic address: adam.gordon@hsc.utah.edu.
Rose KerberRAND Corporation, 20 Park Plaza, 9th Floor, Suite 920, Boston, MA 02116, USA. Electronic address: rkerber@rand.org.
Bradley D SteinRAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA 15213, USA. Electronic address: stein@rand.org.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI Evan David Peet · 2018 to 2026
$20.8M
Quality of Medication Treatment for Opioid Use Disorder in Medicaid-enrollees: The Effects of State Policies and IntiativesR01DA045800 · NIDA · RAND CORPORATION · PI STEIN, BRADLEY D · 2018 to 2022
$2.9M
Improving Access and Quality of care for Medicaid-Eligible Adults with Opioid Use DisorderK01DA042139 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SALONER, BRENDAN K · 2017 to 2021
$917k
NIDA NIH HHS K01 DA042139NIDA NIH HHS P50 DA046351NIDA NIH HHS R01 DA045800
6 · The paper itself

Abstract

backgroundMany active buprenorphine prescribers treat few patients monthly, but little information is available regarding how prescribers' buprenorphine caseload fluctuates over time or how long it takes new prescribers to reach higher patient caseloads. We examine buprenorphine-prescribing clinicians' patient caseloads over time and explore prescriber characteristics associated with different caseload trajectories.

methodsUsing 2006-2018 national buprenorphine pharmacy claims, we calculate monthly patient caseloads for buprenorphine prescribers for 6 years following a clinician's first filled buprenorphine prescription. We use K-means clustering to identify clusters of clinician caseload trajectories and bivariate analyses to examine prescriber and county characteristics associated with different trajectory classes.

resultsWe identified 42,067 buprenorphine prescribers with 3 trajectory classes. High-volume (1.4%;n = 571) whose mean monthly patient caseload increased to approximately 40 patients through the initial 20 months and stabilized at 40 or more patients; moderate-volume (9.2%;n = 3891) whose mean patient caseload increased during the initial 20 months, stabilizing at 15-20 patients; and low-volume (89.4%;n = 37,605), who typically had fewer than 5 patients monthly. Most low-volume prescribers (n = 31,470; 83.7% of all prescribers) initially treated 1-2 patients for several months, followed by no subsequent prescribing.

conclusionAlmost three-quarters of buprenorphine prescribers treated no more than a few patients for several months before ceasing buprenorphine prescribing; only 10% of prescribers averaged more than 10 patients per month over the next 6 years. Efforts are needed to identify factors contributing to prescribers being willing to continue prescribing buprenorphine over time and to prescribe to more patients in order to increase access to buprenorphine treatment.

Indexed as

BuprenorphineOpioid-Related DisordersHumansPractice Patterns, Physicians'BuprenorphineBuprenorphineMedication assisted treatmentOpioid use disorder

Identifiers

PMID34600259
PMCPMC8595760

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.