npj Primary Care Respiratory Medicine (Nov 2024)

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

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

DOI
https://doi.org/10.1038/s41533-024-00401-x
Journal volume & issue
Vol. 34, no. 1
pp. 1 – 8

Abstract

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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.