Assessing the utility of a differential diagnostic generator in UK general practice: A feasibility study: A feasibility study

Sudeh Cheraghi-Sohi, Rahul Alam, Mark Hann, Aneez Esmail, Stephen Campbell, Nick Riches

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Despite growing positive evidence supporting the potential utility of differential diagnostic generator (DDX) tools, uptake has been limited in terms of geography and settings and calls have been made to test such tools in wider routine clinical settings. This study aims to evaluate the feasibility and utility of clinical use of Isabel, an electronic DDX tool, in a United Kingdom (UK) general practice setting. Mixed methods. Feasibility and utility were assessed prospectively over a 6-month period via: usage statistics, survey as well as interview data generated from clinicians before and after Isabel was available for clinical use. Normalisation process theory (NPT) was utilised as a sensitising concept in the data collection and analysis of the qualitative data. Usage was extremely limited (n = 18 searches). Most potential users did not utilise the program and of those that did (n = 6), usage was restricted and did not alter subsequent patient management. Baseline interview findings indicated some prior awareness of DDX tools and ambivalent views with regards to potential utility. Post-use interviews supported analytic data and indicated low usage due to a range of endogenous (professional) and exogenous (organisational) factors. In its current form, this small exploratory study suggests that Isabel is a tool that is unlikely to be utilised on a routine basis in primary care, but may have potential utility for diagnostic support in (1) education/training and (2) rare and diagnostically complex cases.
Original languageEnglish
Pages (from-to)91-99
Number of pages9
JournalDiagnosis
Volume8
Issue number1
DOIs
Publication statusPublished - 1 Feb 2021
Externally publishedYes

Keywords

  • accuracy
  • diagnosis
  • Isabel
  • primary care
  • qualitative
  • uncertainty

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