Evidence map›Paper›PMID 32811632›Full record

ArticleJournal of substance abuse treatment2020

Geographic access to buprenorphine prescribers for patients who use public transit.

C Drake, J M Donohue, D Nagy, C Mair, K L Kraemer, D J Wallace

Abstract read
In one paragraph

Article in Journal of substance abuse treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

C DrakeDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, United States of America. Electronic address: cdrake@pitt.edu.
J M DonohueDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, United States of America.
D NagyDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, United States of America.
C MairDepartment of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health, United States of America.
K L KraemerDivision of General Internal Medicine, University of Pittsburgh School of Medicine, United States of America.
D J WallaceDepartment of Critical Care Medicine and Emergency Medicine, University of Pittsburgh School of Medicine, United States of America.

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
Understanding Regional Critical Care Delivery in Acute Respiratory FailureK08HL122478 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WALLACE, DAVID JOHN · 2015 to 2018
$606k
NCATS NIH HHS KL2 TR001856NHLBI NIH HHS K08 HL122478
6 · The paper itself

Abstract

objectiveUrban Medicaid enrollees with opioid use disorder often rely on public transit to reach buprenorphine prescribers. Research has not shown whether public transit provides this population with adequate geographic access to buprenorphine prescribers. We examined travel times to buprenorphine prescribers by car and public transit in urban areas, and determined whether car-based Medicaid regulatory standards produce their intended geographic coverage.

methodsWe obtained data for this study from the Substance Abuse and Mental Health Services Administration's Buprenorphine Practitioner Locator, Microsoft Bing Maps, and the American Community Survey. We examined four urban counties at the centers of the metropolitan statistical areas with the highest 2017 accidental drug poisoning death rates: Kanawha, WV; Montgomery, OH; Philadelphia, PA; and St. Louis City, MO. These counties comprised 696 census tracts representing 1,038,564 households. We calculated travel times from each census tract center to the nearest buprenorphine prescribers by car and public transit, and compared that to 30-min regulatory standards and by whether census tracts had below median levels of car access. We calculated Global Moran's I statistics to determine whether spatial clustering was present among census tracts with limited access to buprenorphine prescribers.

resultsHouseholds in all but two census tracts could access a buprenorphine prescriber within 30 min by car. However, households in 12.1% (84) of census tracts could not do so by public transit. The correlation between car- and public transit-based travel times to the nearest buprenorphine prescriber was 0.11 (95% CI = 0.07-0.22). More than 15% (47,918) of households in the two less densely populated counties could not travel to the nearest prescriber in 30 min and resided in census tracts where access to cars was relatively low. There was no evidence of spatial clustering among census tracts with public transit travel times exceeding 30 min, or among census tracts with public transit travel times exceeding 30 min and below median values of access to cars.

conclusionsGeographic access to buprenorphine prescribers is overestimated by regulatory standards that apply car-based travel time estimates, which are a weak proxy for public transit-based travel times. Since geographic areas with limited access to buprenorphine prescribers do not tend to cluster near one another, individually targeted interventions may be necessary to improve buprenorphine access and utilization.

Indexed as

BuprenorphineOpioid-Related DisordersHealth Services AccessibilityHumansMedicaidTravelUnited StatesBuprenorphineBuprenorphineGeographic accessMedicaidMedications for opioid use disorderOpioid use disorderPublic transit

Identifiers

PMID32811632
PMCPMC7446662

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Registered trials

None linked

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.