Evidence map›Paper›PMID 36367729›Full record

ArticleJAMA network open2022

Patterns in Geographic Distribution of Substance Use Disorder Treatment Facilities in the US and Accepted Forms of Payment From 2010 to 2021.

Jonathan H Cantor, Maria DeYoreo, Russell Hanson, Aaron Kofner, David Kravitz, Adrian Salas, Bradley D Stein, Kandice A Kapinos

Abstract read
In one paragraph

Article in JAMA network open, 2022. 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.

  1. Article
  2. Observational
  3. Geographic Access to Mental Health Facilities for People with Disabilities.The journal of mental health policy and economics · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Trends in Geographic Proximity to Substance Use Disorder Treatment.American journal of preventive medicine · 2023
    Article
  15. 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

8 authors.

Jonathan H CantorRAND Corporation, Santa Monica, California.
Maria DeYoreoRAND Corporation, Santa Monica, California.
Russell HansonRAND Corporation, Santa Monica, California.
Aaron KofnerRAND Corporation, Arlington, Virginia.
David KravitzRAND Corporation, Santa Monica, California.
Adrian SalasRAND Corporation, Santa Monica, California.
Bradley D SteinRAND Corporation, Pittsburgh, Pennsylvania.
Kandice A KapinosRAND Corporation, Arlington, Virginia.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
Substance Use and Access to Care among Older AdultsR21AG068901 · NIA · RAND CORPORATION · PI CANTOR, JONATHAN, KAPINOS, KANDICE ANN · 2020 to 2021
$537k
NIA NIH HHS R21 AG068901NIDA NIH HHS P50 DA046351
6 · The paper itself

Abstract

Importance: The drug overdose crisis is a continuing public health problem and is expected to grow substantially in older adults. Understanding the geographic accessibility to a substance use disorder (SUD) treatment facility that accepts Medicare can inform efforts to address this crisis in older adults. Objective: To assess whether geographic accessibility of services was limited for older adults despite the increasing need for SUD and opioid use disorder treatments in this population. Design, Setting, and Participants: This longitudinal cross-sectional study obtained data on all licensed SUD treatment facilities for all US counties and Census tracts listed in the National Directory of Drug and Alcohol Abuse Treatment Programs from 2010 to 2021. Main Outcomes and Measures: Measures included the national proportion of treatment facilities accepting Medicare, Medicaid, private insurance, or cash as a form of payment; the proportion of counties with a treatment facility accepting each form of payment; and the proportion of the national population with Medicare, Medicaid, private insurance, or cash payment residing within a 15-, 30-, or 60-minute driving time from an SUD treatment facility accepting their form of payment in 2021. Results: A total of 11 709 SUD treatment facilities operated across the US per year between 2010 and 2021 (140 507 facility-year observations). Cash was the most commonly accepted form of payment (increasing slightly from 91.0% in 2010 to 91.6% by 2021), followed by private insurance (increasing from 63.5% to 75.3%), Medicaid (increasing from 54.0% to 71.8%), and Medicare (increasing from 32.1% to 41.9%). The proportion of counties with a treatment facility that accepted Medicare as a form of payment also increased over the same study period from 41.2% to 53.8%, whereas the proportion of counties with a facility that accepted Medicaid as a form of payment increased from 53.5% to 67.1%. The proportion of Medicare beneficiaries with a treatment facility that accepted Medicare as a form of payment within a 15-minute driving time increased from 53.3% to 57.0%. The proportion of individuals with a treatment facility within a 15-minute driving time that accepted their respective form of payment was 73.2% for those with Medicaid, 69.8% for those with private insurance, and 71.4% for those with cash payment in 2021. Conclusions and Relevance: Results of this study suggest that Medicare beneficiaries have less geographic accessibility to SUD treatment facilities given that acceptance of Medicare is low compared with other forms of payment. Policy makers need to consider increasing reimbursement rates and using additional incentives to encourage the acceptance of Medicare.

Indexed as

MedicareSubstance-Related DisordersAgedCross-Sectional StudiesHealth FacilitiesHumansMedicaidUnited States

Identifiers

PMID36367729
PMCPMC9652758

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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.