Evidence map›Paper›PMID 40198620›Full record

ArticlePLOS digital health2025

Barriers and facilitators to physicians' telemedicine uptake during the beginning of the COVID-19 pandemic.

Jack D Watson, Bridget Xia, Mia E Dini, Alexandra L Silverman, Bradford S Pierce, Chi-Ning Chang, Paul B Perrin

Abstract read
In one paragraph

Article in PLOS digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Jack D WatsonInformatics, Decision Enhancement, and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, Utah, United States of America.ORCID https://orcid.org/0000-0002-1348-4214
Bridget XiaSchool of Data Science, University of Virginia, Charlottesville, Virginia, United States of America.ORCID https://orcid.org/0000-0001-6349-5299
Mia E DiniDepartment of Psychology, University of Virginia, Charlottesville, Virginia, United States of America.
Alexandra L SilvermanMcLean Hospital/Department of Psychiatry, Harvard Medical School, Belmont, Massachusetts, United States of America.
Bradford S PierceJames A. Haley Veterans Affairs Medical Center, Tampa, Florida, United States of America.
Chi-Ning ChangSchool of Education, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Paul B PerrinSchool of Data Science, University of Virginia, Charlottesville, Virginia, United States of America.ORCID https://orcid.org/0000-0003-2070-215X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite decades of low utilization, telemedicine adoption expanded at an unprecedented rate during the COVID-19 pandemic. This study examined quantitative and qualitative data provided by a national online sample of 228 practicing physicians (64% were women, and 75% were White) to identify facilitators and barriers to the adoption of telemedicine in the United States (U.S.) at the beginning of the COVID-19 pandemic. Logistic regressions were used to predict the most frequently endorsed (20% or more) barriers and facilitators based on participant demographics and practice characteristics. The top five reported barriers were: lack of patient access to technology (77.6%), insufficient insurance reimbursement (53.5%), diminished doctor-patient relationship (46.9%), inadequate video/audio technology (46.1%), and diminished quality of delivered care (42.1%). The top five reported facilitators were: better access to care (75.4%), increased safety (70.6%), efficient use of time (60.5%), lower cost for patients (43%), and effectiveness (28.9%). Physicians' demographic and practice setting characteristics significantly predicted their endorsement of telemedicine barriers and facilitators. Older physicians were less likely to endorse inefficient use of time (p < 0.001) and potential for medical errors (p = 0.034) as barriers to telemedicine use compared to younger physicians. Physicians working in a medical center were more likely to endorse inadequate video/audio technology (p = 0.037) and lack of patient access to technology (p = 0.035) as a barrier and more likely to endorse lower cost for patients as a facilitator (p = 0.041) than providers working in other settings. Male physicians were more likely to endorse inefficient use of time as a barrier (p = 0.007) than female physicians, and White physicians were less likely to endorse lower costs for patients as a facilitator (p = 0.012) than physicians of color. These findings provide important context for future implementation strategies for healthcare systems attempting to increase telemedicine utilization.

Identifiers

PMID40198620
PMCPMC11977993

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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.