Evaluating a Clinical Decision Support Tool for Cancer Risk Assessment in Primary Care: Simulation Study of Unintended Weight Loss
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Le résumé fourni par la source
Background: Early cancer detection is crucial, but recognizing the significance of associated symptoms such as unintended weight loss in primary care remains challenging. Clinical decision support systems (CDSSs) can aid cancer detection but face implementation barriers and low uptake in real-world settings. To address these issues, simulation environments offer a controlled setting to study CDSS usage and improve their design for better adoption in clinical practice. Objective: This study aimed to evaluate a CDSS integrated within general practice electronic health records aimed at identifying patients at risk of undiagnosed cancer. Methods: The evaluation of a CDSS to identify patients with unintended weight loss was conducted in a simulated primary care environment where general practitioners (GPs) interacted with the CDSS in simulated clinical consultations. There were four possible clinical scenarios based on patient gender and risk of cancer. Data collection included interviews with GPs, cancer survivors (lived-experience community advocates), and patient actors, as well as video analysis of GP-CDSS interactions. Two theoretical frameworks were employed for thematic interpretation of the data. Results: We recruited 10 GPs and 6 community advocates, conducting 20 simulated consultations with 2 patient actors (2 consultations per GP: 1 high-risk consultation and 1 low-risk consultation). All participants found the CDSS acceptable and unobtrusive. GPs utilized CDSS recommendations in three distinct ways: as a communication aid when discussing follow-up with the patient, as a reminder for differential diagnoses and recommended investigations, and as an aid to diagnostic decision-making without sharing with patients. The CDSS's impact on patient-doctor communication varied, facilitating and hindering interactions depending on the GP's communication style. Conclusions: We developed and evaluated a CDSS for identifying cancer risk in patients with unintended weight loss in a simulated environment, revealing its potential to aid clinical decision-making and communication while highlighting implementation challenges and the need for context-sensitive application.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Evaluating a Clinical Decision Support Tool for Cancer Risk Assessment in Primary Care: Simulation Study of Unintended Weight Loss
- Date Crossref
- 10/12/2025
- Éditeur
- JMIR Publications Inc.
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Pontificia Universidad Católica de Chile pays non établi dans la noticeUniversité ou école supérieure
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The University of Melbourne Collaborative Centre for Genomic Cancer Medicine pays non établi dans la noticeUniversité ou école supérieure
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Nanyang Technological University pays non établi dans la noticeUniversité ou école supérieure
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Primary Care Collaborative Clinical Trials Group pays non établi dans la noticeInstitution
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National University Polyclinics pays non établi dans la noticeÉtablissement de santé
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Western Health pays non établi dans la noticeÉtablissement de santé
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University of Oxford Nuffield Department of Primary Care Health Sciences pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Medicine Department of Family Medicine pays non établi dans la noticeUniversité ou école supérieure
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Lee Kong Chian School of Medicine Primary Care and Family Medicine Department pays non établi dans la noticeUniversité ou école supérieure
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Primary Care Collaborative Cancer Clinical Trials Group (PC4) pays non établi dans la noticeÉtablissement de santé
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Singapore Primary Care Cancer Network (SPriNT) pays non établi dans la noticeInstitution
Pontificia Universidad Católica de Chile, Collaborative Centre for Genomic Cancer Medicine — The University of Melbourne et Nanyang Technological University, avec 8 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.