Evidence map›Paper›PMID 41861382›Full record

ArticleJMIR human factors2026

Exploring English and Swedish General Practitioners' Behavioral Intentions to Use Telemedicine: Comparative Study.

Michael Harris, Gordon Taylor, Miriam Pikkemaat, Hans Thulesius, Veronica Milos Nymberg

Abstract readComparative Study
In one paragraph

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

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Michael Harris *College of Medicine and Health, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-7166-2971
Gordon TaylorCollege of Medicine and Health, University of Exeter, Exeter, United Kingdom.ORCID 0000-0003-1715-0913
Miriam Pikkemaat *Center for Primary Health Care Research, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, Malmö, 20213, Sweden, 46 0767700240.ORCID 0000-0002-9808-207X
Hans Thulesius *Center for Primary Health Care Research, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, Malmö, 20213, Sweden, 46 0767700240.ORCID 0000-0002-3785-5630
Veronica Milos Nymberg *Center for Primary Health Care Research, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, Malmö, 20213, Sweden, 46 0767700240.ORCID 0000-0002-3836-3048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although telemedicine grew rapidly during the COVID-19 pandemic, instruments to assess general practitioners' (GPs) attitudes and behavioral intentions to use it are scarce. In Sweden, the Physicians' Attitudes and Intentions to use Telemedicine (PAIT) questionnaire was developed from the "theory of planned behavior" in 2019 and translated into English in 2022. Objective: The aim of this study was to explore similarities and differences between behavioral intentions and predictors of intentions to use telemedicine among GPs in England and Sweden. Methods: This study compared attitudes, behavioral intentions, and self-reported use of telemedicine after the COVID-19 pandemic among 52 GPs in England and 101 GPs in Sweden. The PAIT questionnaire has 33 items with 7-point Likert scale options ranging from "strongly disagree" to "strongly agree," examining 3 predictors of intentions: attitudes (12 items), subjective norms (6 items), perceived behavioral control (9 items), and "intentions" (6 items) to use telemedicine; 22 items assess use of telemedicine tools, general questions about telemedicine, training experience, free-text comments, and demographic and background questions. Results: Both English and Swedish GPs reported little training and low use of telemedicine after the COVID-19 pandemic. Swedish GPs had significantly higher mean scores for intentions to use telemedicine in daily practice compared with English GPs. More positive attitudes and higher perceived behavioral control were significantly associated with higher behavioral intention scores in both English and Swedish GPs. Conclusions: While our results are exploratory due to sample size constraints, these findings provide insights into the similarities and differences between English and Swedish GPs regarding telemedicine adoption-attitudes, behavioral intentions, and self-reported use of telemedicine assessed by the PAIT questionnaire-which proved useful for cross-country comparisons and could be used for further international studies.

Indexed as

Attitude of Health PersonnelCOVID-19General PractitionersIntentionTelemedicineAdultEnglandFemaleHumansMaleMiddle AgedPandemicsSurveys and QuestionnairesSwedenTheory of Planned Behaviorattitudesbehavioral intentionsgeneral practitionersGPperceived behavioral controlsubjective normstelemedicinetheory of planned behavior

Identifiers

PMID41861382
PMCPMC13004589

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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.