Evidence mapPaperPMID 40920652Full record

ArticlePloS one2025

Examining models of telemedicine use among U.S. physicians during the COVID-19 pandemic.

Bridget Xia, Bradford S Pierce, Paul B Perrin

Abstract read
In one paragraph

Article in PloS one, 2025. 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

3 authors.

Bridget XiaSchool of Data Science, University of Virginia, Charlottesville, Virginia, United States of America.ORCID https://orcid.org/0000-0001-6349-5299
Bradford S PierceJames A. Haley Veterans Affairs Medical Center, Tampa, Florida, 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

The purpose of this study is to apply the theory of reasoned action (TRA) and technology acceptance model (TAM) to U.S. physicians' adoption of telemedicine during the COVID-19 pandemic. A total of 230 physicians licensed in the U.S. completed a cross-sectional survey during the COVID-19 pandemic assessing telemedicine use and components of the TRA and TAM. Path models representing the TRA, TAM, and a trimmed version of the TAM were tested. The TRA was an adequate to poor fit for modeling physicians' decisions concerning telemedicine use. The TAM demonstrated better fit, although a trimmed TAM was ultimately retained for parsimony with mostly good or adequate fit indices. Subjective norms, perceived usefulness, and attitude toward telemedicine may be important targets for trainings and advocacy efforts to facilitate and sustain telemedicine use in a post-pandemic context.

Indexed as

COVID-19PhysiciansTelemedicineAdultAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesUnited States

Identifiers

PMID40920652
PMCPMC12416656

What Socratic holds

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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 Socratic graph.