Evidence map›Paper›PMID 42807099›Full record

ArticleFrontiers in digital health2026

Offering in-home video visits: a descriptive national survey of interprofessional clinicians across Veterans Health Administration.

Emily E Metcalf, Da Jung Chang, Steven D Shirk, Lauren R Moo, Megan E Gately

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

Emily E MetcalfGeriatric Research Education and Clinical Center, VA Bedford Healthcare System, Bedford, MA, United States.
Da Jung ChangGeriatric Research Education and Clinical Center, VA Bedford Healthcare System, Bedford, MA, United States.
Steven D ShirkRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, United States.
Lauren R MooGeriatric Research Education and Clinical Center, VA Bedford Healthcare System, Bedford, MA, United States.
Megan E GatelyGeriatric Research Education and Clinical Center, VA Bedford Healthcare System, Bedford, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Utilization of telehealth has greatly expanded in recent years to ensure access to care during uncertain times such as the COVID pandemic. This included offering telehealth to patients not previously considered ideal candidates for telehealth. In-home synchronous video telehealth has unique knowledge and technical requirements and barriers when compared to other modalities like telephone or asynchronous websites and applications. The complexity of in-home video may limit its reach to certain patients, including older adults and those with complex medical needs, thereby exacerbating care disparities. While clinicians may be critical decision-makers in determining use of in-home video, little is known about how clinicians decide to whom video should be offered. To ensure equitable distribution of in-home video to patients who need it most, this study investigates clinician decision-making around the initial offer of in-home video and what factors influence their decision. Methods: A web-based national survey of Department of Veterans Health Affairs (VHA) interprofessional clinicians about decision-making to offer in-home video was conducted between March and April 2025. The analytic sample includes clinicians who used in-home video during the previous 12 months. Items were iteratively developed with input from interprofessional clinician subject matter experts, and gathered, 1) respondent characteristics, 2) clinical experience and video utilization details, 3) patient, clinical, and administrative factors, benefits, and barriers, and 4) video facilitators. Results: Of 11,416 respondents (5.5% response rate), most were female (68.31%), and the top three clinical disciplines included Social Workers (21.84%), Physicians (18.5%), and Nursing Professionals (15.22%). The top three clinical services delivered using in-home video were routine assessments or examinations (49.18%), assessments or examinations of new or acute issues (41.62%), and ongoing chronic disease management (40.92%). When clinicians were asked to rate the quality of care delivered via in-home video compared to in the clinic, the majority reported that they feel the quality is about the same or better when using video (84.20%). The top three patient factors that clinicians consider when deciding to offer in-home video included patient willingness and/or preference for video (77.58%), travel barriers including inclement weather, lack of transportation, traffic (76.35%), and rurality or distance from a VHA facility (74.43%). Patient factors selected the least included motor and sensory function (2,504, 21.93%), medical acuity (2,776, 24.32%), and age (3,107, 27.22%). The top three clinical and administrative factors identified as making the clinician more likely to offer in-home video included the convenience of using video to the clinician's workflow (55.23%), high patient acuity or the need to be seen quickly (55.02%), and the need for frequent follow-ups (49.21%). When clinicians were asked about the benefits of using in-home video with patients, they reported that video eliminates the need for patients to travel to and from appointments (72.80%), increased convenience for patients (70.94%), and reduced stress on patients or caregivers (60.03%). The top three most effective facilitators were automatically generated reminder emails (84.87%), reminder emails sent by the clinician or clinical staff (77.21%), and VHA-provided tablets (75.51%). Conclusion: Our findings highlight that patient-centered factors and benefits were most frequently reported by VHA clinicians as considerations when deciding to offer in-home video. Although clinician and administrative barriers were infrequently endorsed, patient-level challenges such as limited broadband access and difficulty using technology remained significant obstacles. To gain more detailed understanding, future research should explore the nuance behind clinician perspectives and potential biases in the offer of in-home video to help address the digital divide and disparities in access between subgroups of patients.

Indexed as

attitude of health personneldigital healthsurveys and questionnairestelemedicineveterans health services

Identifiers

PMID42807099
PMCPMC13617108

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.