Use and acceptability of an asthma diagnosis clinical decision support system for primary care clinicians: an observational mixed methods study

There is uncertainty about how best to diagnose asthma, especially in primary care where mis-diagnosis is common. To address this, we developed a clinical decision support system (CDSS) for asthma diagnosis in children and young people (aged 5-25 years). This study explored the feasibility and acceptability of the CDSS in UK primary care. We recruited general practices from England and Scotland. The CDSS was available for use during routine consultations for six months. We analysed CDSS usage and, toward the end of the study, undertook qualitative interviews with clinicians who had used the CDSS. Within the 10 practices who completed the study, the CDSS was used by 75 out of 94 clinicians. 11 clinicians from 8 practices were interviewed. The CDSS was acceptable to participants who particularly commented on the ease of use and auto-population of information from the patient record. Barriers to use included the inability to record findings directly into the patient notes and a sense that, whilst possibly useful for trainees and junior colleagues, the CDSS would not necessarily lead to a change in their own practice. The CDSS was generally well received by primary care clinicians, though participants felt it would be most useful for trainees and less experienced colleagues.

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Publication Details

Journal
npj Primary Care Respiratory Medicine
Published
2024-11-27
DOI
https://doi.org/10.1038/s41533-024-00401-x
Citations
1
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
Field-Weighted Citation Impact
0.50

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article

Use and acceptability of an asthma diagnosis clinical decision support system for primary care clinicians: an observational mixed methods study

Mark Buchner, Carol Stonham, Aziz Sheikh, Frances S Mair et al.
1 citations
npj Primary Care Respiratory Medicine
Clinical Reasoning and Diagnostic Skills
0.50
article

Use and acceptability of an asthma diagnosis clinical decision support system for primary care clinicians: an observational mixed methods study

Mark Buchner, Carol Stonham, Aziz Sheikh, Frances S Mair, Hilary Pinnock, Victoria Murray, David Price, Heather Milne, Eddie Donaghy, Anne Canny, Brian McKinstry, Andrew Bush, Luke Daines, Lesley Nelson, Leo Campbell
article en
1 citations

Abstract

There is uncertainty about how best to diagnose asthma, especially in primary care where mis-diagnosis is common. To address this, we developed a clinical decision support system (CDSS) for asthma diagnosis in children and young people (aged 5-25 years). This study explored the feasibility and acceptability of the CDSS in UK primary care. We recruited general practices from England and Scotland. The CDSS was available for use during routine consultations for six months. We analysed CDSS usage and, toward the end of the study, undertook qualitative interviews with clinicians who had used the CDSS. Within the 10 practices who completed the study, the CDSS was used by 75 out of 94 clinicians. 11 clinicians from 8 practices were interviewed. The CDSS was acceptable to participants who particularly commented on the ease of use and auto-population of information from the patient record. Barriers to use included the inability to record findings directly into the patient notes and a sense that, whilst possibly useful for trainees and junior colleagues, the CDSS would not necessarily lead to a change in their own practice. The CDSS was generally well received by primary care clinicians, though participants felt it would be most useful for trainees and less experienced colleagues.

npj Primary Care Respiratory MedicineVol. 34(1)
University of Aberdeen (GB), NHS Education for Scotland (GB), University of Oxford (GB), Royal Brompton Hospital (GB), Observational & Pragmatic Research Institute (SG), Institute of Occupational Medicine (GB), Gloucestershire Health and Care NHS Foundation Trust (GB), Asthma UK (GB), Imperial College London (GB), University of Glasgow (GB), University of Edinburgh (GB)
Asthma and Lung UK, Asthma UK Centre for Applied Research
Peace, Justice and strong institutions
Openalex Percentile: Top 28%
Clinical Reasoning and Diagnostic Skills
0.50
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