Evidence map›Paper›PMID 42101010›Full record

ArticleScandinavian journal of primary health care2026

Identifying factors influencing acceptance of artificial intelligence among general practitioners in Danish general practice: a cross-sectional web-based survey study.

Natasha Lee Jørgensen, Niels Henrik Bruun, Camilla Hoffmann Merrild, Thomas B Moeslund, Kristian Kidholm, Janus Laust Thomsen

Abstract read
In one paragraph

Article in Scandinavian journal of primary health care, 2026. 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. Observational
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

6 authors.

Natasha Lee JørgensenCenter for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-0481-5560
Niels Henrik BruunResearch Data and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-2644-4115
Camilla Hoffmann MerrildCenter for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-2444-3311
Thomas B MoeslundDepartment of Architecture, Design, and Media Technology, Aalborg University, Aalborg, Denmark.ORCID 0000-0001-7584-5209
Kristian KidholmCentre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.ORCID 0000-0003-1037-6514
Janus Laust ThomsenCenter for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-0745-6815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite rapid advances in artificial intelligence (AI), its adoption in Danish general practice remains limited and decentralized, relying on individual general practitioners' (GPs') decisions. This study aimed to evaluate Danish GPs' acceptance of AI and the importance of factors derived from established technology-acceptance models.

methodsA cross-sectional web survey was conducted from mid-September 2024 to March 2025, using a culturally adapted version of a previously validated tool. The survey included 42 items: nine background items and 33 items covering 11 factors, including Medical and Non-Medical Performance Expectancy, Effort Expectancy, Social Influence (Medical and Patient), Facilitating Conditions, Perceived Trust, Anxiety, Professional Identity, Innovativeness and Behavioral Intention. Descriptive statistics, subgroup comparisons and Cronbach's alpha were provided.

resultsA total of 109 GPs and residents responded, with 84.4% (

conclusionIn summary, Danish GPs demonstrate a strong intention to adopt AI. However, issues persist as significant barriers regarding Anxiety, Perceived Trust and Facilitating Conditions. Implementation strategies considering context and clinician demographics are recommended.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelGeneral PracticeGeneral PractitionersAdultCross-Sectional StudiesDenmarkFemaleHumansInternetMaleMiddle AgedSurveys and QuestionnairesTrustacceptAIGeneral practicegeneral practitionersurvey

Identifiers

PMID42101010
PMCPMC13159581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.