Geographic Differences in Receipt of Addictions Treatment in a National Sample of Patients with Alcohol use Disorders from the U.S. Veterans Health Administration
Abstract
Background: In the United States, alcohol use disorder (AUD) is common and costly but substantially undertreated. Rurality is an important determinant of health that may influence receipt of evidence-based alcohol-related care. In a large, national sample of Veterans Health Administration (VA) patients with AUD with documented and non-Hispanic Black, Hispanic, or non-Hispanic White race/ethnicity, we examine whether meeting national Healthcare Effectiveness Data and Information Set (HEDIS) quality measures for specialty addictions care and receiving evidence-based medications for AUD differs across patients living in urban, large rural, and small rural areas. Methods: VA electronic health record data were used to identify all patients with AUD documented in Fiscal Year 2012. Rurality was measured using a three-category rural and urban commuting area (RUCA) classification linked to patient zip code. Logistic regression models with clustered standard errors—iteratively adjusted for hypothesized confounders—were used to estimate the likelihood and marginal probabilities of receiving care for patients living in small and large rural areas, relative to urban areas. Primary outcomes included HEDIS initiation (any visit within 14 days of initial AUD visit after a 60-day period of no treatment), HEDIS engagement (2 or more AUD visits within 30 days of HEDIS initiation visit) and having any filled prescription for AUD medications (naltrexone, disulfiram, acamprosate, or topiramate). Results: For all outcomes, patients living in large and small rural areas had a lower likelihood of receiving evidence-based AUD treatment than patients living in urban areas (all p -values < 0.05); differences in marginal probabilities across groups were relatively small. Conclusions: In this national sample of VA patients with AUD, those living in more rural areas were less likely to receive evidence-based treatment for AUD than those living in urban areas. Further research is needed to investigate strategies to increase receipt of specialty care and pharmacotherapy in more rural areas.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Compared to urban areas, non-metropolitan counties or large and small rural areas were associated with decreased odds of receiving treatment.
“Compared to urban areas, non-metropolitan counties or large and small rural areas were associated with decreased odds of receiving treatment, partly due to the lack of treatment programs and providers in less densely populated areas [12].”
Previous research identified personal-level and environmental/structural barriers to SUD treatment receipt.
“Previous research on treatment receipt barriers identified both personal-level and environmental/structural factors.”
Cites
Grant, B. F., Goldstein, R. B., Saha, T. D., Chou, S. P., Jung, J., Zhang, H., Pickering, R. P., Ruan, W. J., Smith, S. M., Huang, B., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.0584 · Cited by 2,556 · see citing works
Barriers to Substance Abuse Treatment in Rural and Urban Communities: Counselor Perspectives
Pullen, E., & Oser, C. (2014) · Substance Use & Misuse · doi:10.3109/10826084.2014.891615 · Cited by 229 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Choi, N. G., & Marti, C. N. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22040640 · Cited by 8 · see citing works
“Compared to urban areas, non-metropolitan counties or large and small rural areas were associated with decreased odds of receiving treatment, partly due to the lack of treatment programs and providers in less densely populated areas [12].”
- Authors
- Edmonds, A. T., Bensley, K. M., Hawkins, E. J., & Williams, E. C.
- Affiliations
- University of Washington (US)
- Alcohol Research Group (US)
- Corresponding author
- Edmonds, Amy T.
- Venue
- Substance Abuse
- Publisher
- SAGE Publications
- Published
- 2021-10
- Volume
- 42
- Issue
- 4
- Pages
- 559-568
- ISSN
- 0889-7077 (ISSN-L)
- 1547-0164
- OpenAlex
- W3080492138
- Cited by
- 24
- References
- 2
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 4 · 2021: 5
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Substance Abuse (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Centers for Disease Control and Prevention (T42OH008433, T32AA007240)
- National Institute on Alcohol Abuse and Alcoholism
- VA Puget Sound Center of Excellence in Substance Abuse Treatment and Education
- VA Health Services Research & Development Career Development (CDA 12-276)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Keywords
- alcoholism, urban-rural differences, rurality, veterans, access to addiction treatment, evidence-based pharmacotherapy, naltrexone, disulfiram, acamprosate, topiramate, Veterans Health Administration
- MeSH terms
- Acamprosate, Alcoholism, Humans, United States, United States Department of Veterans Affairs, Veterans, White People, Veterans Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review