Evidence map›Paper›PMID 34600256›Full record

ArticleDrug and alcohol dependence2021

Robustness of estimated access to opioid use disorder treatment providers in rural vs. urban areas of the United States.

Mathew V Kiang, Michael L Barnett, Sarah E Wakeman, Keith Humphreys, Alexander C Tsai

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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 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

5 authors.

Mathew V KiangDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: mkiang@stanford.edu.
Michael L BarnettDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Sarah E WakemanHarvard Medical School, Boston, MA, USA; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Keith HumphreysDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Health Care System, Palo Alto, CA, USA.
Alexander C TsaiHarvard Medical School, Boston, MA, USA; Center for Global Health and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA.

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Reducing racial disparities in the treatment of opioid use disorder using machine learning-based causal analysisK99DA051534 · NIDA · STANFORD UNIVERSITY · PI KIANG, MATHEW VINHHOA · 2020 to 2021
$359k
NIDA NIH HHS K99 DA051534NIDA NIH HHS T32 DA035165
6 · The paper itself

Abstract

backgroundEffective, evidence-based treatments for opioid use disorder are not equally accessible to Americans. Recent studies have found urban/rural disparities in the driving times to the nearest opioid treatment providers. These disparities may be even worse than currently reported in the literature because patients may not be able to obtain appointments with their nearest provider. We examine the robustness of the opioid treatment infrastructure by estimating how driving times to treatment change as provider availability decreases.

methodsWe used public data from the federal government to estimate the driving time from each census tract centroid to the nearest 15 treatment providers. We summarized the median and interquartile range of driving times to increasingly distant providers (i.e., nearest, second nearest, etc.), stratified by urban/rural classification.

resultsThe median driving time to the nearest provider was greater in rural areas than urban areas for both opioid treatment programs (12 min vs 61 min) and buprenorphine-waivered prescribers (5 min vs 21 min). Importantly, driving times in rural areas increased more steeply as nearer providers became unavailable. For example, the increase in driving time between the nearest provider and the fifth nearest provider was much greater in rural areas than in urban areas for both buprenorphine-waivered prescribers (23 min vs 4 min) and for opioid treatment programs (54 min vs 22 min).

conclusionsAccess to treatment for opioid use disorder is more robust in urban areas compared with rural areas. This disparity must be eliminated if the opioid overdose crisis is to be resolved.

Indexed as

BuprenorphineOpioid-Related DisordersAnalgesics, OpioidCensus TractHealth Services AccessibilityHumansRural PopulationUnited StatesAnalgesics, OpioidBuprenorphineOpioidsSubstance useTreatmentUrban-rural inequality

Identifiers

PMID34600256
PMCPMC8595811

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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.