Evidence map›Paper›PMID 37759376›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2024

Rural Veterans with HIV and Alcohol Use Disorder receive less video telehealth than urban Veterans.

Alan Z Sheinfil, Giselle Day, Annette Walder, Julianna Hogan, Thomas P Giordano, Jan Lindsay, Anthony Ecker

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04055207 (VA Video Connect to Improve Access to Multi-disciplinary Specialty Care), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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.

NCT04055207 nacompletednot on this map

VA Video Connect to Improve Access to Multi-disciplinary Specialty Care

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2021 to 2024Enrolled306ConditionsHIVArmsVVC
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Alan Z SheinfilVA South Central Mental Illness Research, Education and Clinical Center, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.ORCID 0000-0002-9453-1114
Giselle DayVA South Central Mental Illness Research, Education and Clinical Center, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
Annette WalderVA South Central Mental Illness Research, Education and Clinical Center, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
Julianna HoganVA South Central Mental Illness Research, Education and Clinical Center, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
Thomas P GiordanoHouston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
Jan LindsayVA South Central Mental Illness Research, Education and Clinical Center, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.ORCID 0000-0002-2853-0113
Anthony EckerVA South Central Mental Illness Research, Education and Clinical Center, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
Michael E. DeBakey VA Medical Center · US

Funding

Texas Developmental Center for AIDS ResearchP30AI161943 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI RICE, ANDREW P · 2021 to 2025
$8.3M
Department of Veterans Affairs South Central Mental Illness Research, Education, and Clinical CenterHouston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety CIN13-413NIAID NIH HHS P30 AI161943Texas Developmental Center for AIDS Research P30AI161943VA Office of Rural Health, Veterans Rural Health Resource Center-Salt Lake City
6 · The paper itself

Abstract

purposeAlcohol use disorder (AUD) is highly prevalent among Veterans with HIV. Rural Veterans with HIV are at especially high risk for not receiving appropriate treatment. This retrospective cohort cross-sectional study aimed to investigate patterns of mental health treatment utilization across delivery modality among Veterans diagnosed with HIV and AUD. It was hypothesized that rural Veterans with HIV and AUD would receive a lower rate of mental health treatment delivered via video telehealth than urban Veterans with HIV and AUD.

methodsA national Veterans Health Association administrative database was used to identify a cohort of Veterans diagnosed with HIV and AUD (N = 2,075). Geocoding was used to categorize rural Veterans (n = 246) and urban Veterans (n = 1,829). Negative binomial regression models tested associations between rurality and mental health treatment delivered via face-to-face, audio-only, and video telehealth modalities.

findingsResults demonstrated that rural Veterans with HIV and AUD received fewer mental health treatment sessions delivered via telehealth than urban Veterans with HIV and AUD (incidence rate ratio = 0.62; 95% confidence intervals [0.44, 0.87]; P < .01). No differences were found in terms of treatment delivered face-to-face or by audio-only.

conclusionsRural Veterans with HIV and AUD represent a vulnerable subpopulation of Veterans who may most benefit from video telehealth. Efforts to increase access and improve the uptake of evidence-based mental health treatment delivered via video telehealth are needed.

Indexed as

AlcoholismHIV InfectionsRural PopulationTelemedicineUrban PopulationVeteransAdultAgedCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesUnited Statesalcohol use disorderHIVrural mental healthtelehealthVeterans

Identifiers

PMID37759376
PMCPMC10965503
OpenAlexW4387116256

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.