Evidence mapPaperPMID 40926169Full record

ArticleThe journal of behavioral health services & research2026

Geographic and Policy Factors Influence Telehealth Availability for Substance Use Disorder Treatment.

George Pro, Corey Hayes, Mofan Gu, Roberto Bravo, Jure Baloh

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Article in The journal of behavioral health services & research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

George ProDepartment of Health Behavior and Health Education, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, USA. gcpro@uams.edu.
Corey HayesCollege of Pharmacy, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, USA.
Mofan GuDepartment of Health Behavior and Health Education, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, USA.
Roberto BravoHealth Systems and Services Research PhD Program, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, USA.
Jure BalohDepartment of Health Policy and Management, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telehealth is increasingly a standard and routine clinical option, indicating a changing outlook for SUD treatment from in-person to the more convenient option of telehealth. As populations across geographies increasingly prefer telehealth, more research is warranted that focuses on how where a person lives is associated with telehealth availability. The authors used the Mental Health and Addiction Treatment Tracking Repository (MATTR 2024) to identify telehealth availability among all known licensed SUD treatment facilities in the USA (N = 10,492 facilities). The authors merged external geocoded data to MATTR to characterize the communities and spaces immediately surrounding each facility, including social vulnerability indices (census tract), population demographics (county), and state-level telehealth policies. Multilevel multivariable logistic regression was used to model telehealth availability. Roughly 4 out of 5 treatment facilities (81%) offered telehealth. At the census tract level, for every additional point on the racial/ethnic minority status vulnerability scale, the odds of a facility offering telehealth decreased by 4% (aOR = 0.96, 95% CI = 0.93-0.99, p = 0.02). Compared to states with substantial legal barriers about starting telehealth by any mode, facilities in states with stronger, innovation-ready laws had higher odds of offering telehealth (aOR = 1.47, 95% CI = 1.13-1.92, p < 0.01). Similarly, facilities in states that minimize barriers to allowing nurses to practice and use telehealth independently had higher odds of offering telehealth (aOR = 1.42, 95% CI = 1.09-1.84, p < 0.01). State-level health policies impact access to SUD care in a multitude of ways, and new policies that promote telehealth by minimizing barriers to service delivery will benefit people in need of SUD treatment.

Indexed as

Health PolicyHealth Services AccessibilityMental Health ServicesSubstance Abuse Treatment CentersSubstance-Related DisordersTelemedicineHumansUnited States

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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 Socratic graph.