Evidence map›Paper›PMID 40657288›Full record

ArticleDiscover health systems2025

Sociodemographic patterns of provider-to-home telehealth use within the veterans health administration between 2015 and 2023.

Navid Dardashti, Jacqueline M Ferguson, Andrew Nicholson, Leonie Heyworth, Timothy P Hogan, Nicholas McMahon, Cindie Slightam, Donna M Zulman, Scott E Sherman

Abstract read
In one paragraph

Article in Discover health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Navid DardashtiVirtual Care Consortium of Research, VA New York Harbor Healthcare System, 423 E 23rd St. 15 North, New York, NY 10010 USA.
Jacqueline M FergusonVA Center for Innovation to Implementation (Ci2i), Menlo Park, CA USA.
Andrew NicholsonNYU Grossman School of Medicine, New York, NY USA.
Leonie HeyworthDepartment of Veterans Affairs Central Office, Office of Connected Care/Telehealth, Washington, DC USA.
Timothy P HoganCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA USA.
Nicholas McMahonCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA USA.
Cindie SlightamVA Center for Innovation to Implementation (Ci2i), Menlo Park, CA USA.
Donna M ZulmanVA Center for Innovation to Implementation (Ci2i), Menlo Park, CA USA.
Scott E ShermanVirtual Care Consortium of Research, VA New York Harbor Healthcare System, 423 E 23rd St. 15 North, New York, NY 10010 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The VHA is the largest healthcare system in the US and an early adopter of telehealth. Barriers to adoption may exist among subpopulations of VHA patients. Objective: To identify patterns in use of telehealth by modality, race, rurality, age and priority group before and during the COVID-19 pandemic. Design: We used data from the VHA Pyramid Analytics database to determine quarterly telehealth utilization rates from October 2015 to March 2023 using a pre-post analysis. Main measures were stratified by race, rurality, age group, and VA priority groups. Participants: Unique patients who used any VHA care within each Fiscal Year of the study period. Interventions: N/A. Main Measures: Quarterly encounters by modality and number of users with one or more Provider to Home (PTH) encounters per 1000 unique patients. Key Results: There were 36,315,299 telehealth encounters completed by 4,597,055 users during the analytic period. From October 2015-March 2020, PTH video encounters grew from 3.2% of VHA telehealth encounters to 38%. From April 2020-March 2023, PTH video encounters accounted for 90.7% of VHA telehealth encounters. Uptake of PTH during the pandemic differed significantly between demographic groups. Quarterly users per 1000 unique patients (increase relative to reference group; p-values < 0.01) increased significantly more for urban-residing patients (44.9 relative to rural); Black, Asian, or Multi-Racial patients (Black: 52.1; Asian: 48.2; multi-racial: 57.5 relative to White), younger Veterans (age < 45: 113.0; age 45-64: 80.3 relative to age ≥ 65); and Veterans with major disabilities (127.3 relative to Veterans without special considerations). Conclusions: With the expansion of PTH telehealth during the pandemic, there was a shift in sociodemographic patterns among patients receiving at-home video-based care. Moving forward, VA may choose to test implementation strategies that target different demographic groups to support equitable access to PTH care. Supplementary Information: The online version contains supplementary material available at 10.1007/s44250-025-00256-0.

Indexed as

Provider-to-homeTelehealthTelemedicineVeteransVideo care

Identifiers

PMID40657288
PMCPMC12241211

What OpenQuestion holds

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LicenceCC BY
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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.