4.4 Article

Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners

Journal

Publisher

BMC
DOI: 10.1186/s12911-021-01557-z

Keywords

Clinical decision support; General practice; Primary health care; Adoption; Barriers; Alert fatigue

Funding

  1. Wellcome Trust [202133/Z/16/Z]
  2. National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' National Health Service NHS) Foundation Trust
  3. King's College London
  4. Public Health and Multimorbidity Theme of the National Institute for Health Research's Applied Research Collaboration (ARC) South London
  5. Wellcome Trust [202133/Z/16/Z] Funding Source: Wellcome Trust

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The study explored the factors influencing the adoption of CDSSs by GPs in the UK, identifying trust, usability, and situational context as key determinants. Recommendations included co-producing CDSSs with GPs for better fit within clinical workflow, ensuring accuracy and providing training to reduce alert fatigue and improve decision-support utilization.
Background Well-established electronic data capture in UK general practice means that algorithms, developed on patient data, can be used for automated clinical decision support systems (CDSSs). These can predict patient risk, help with prescribing safety, improve diagnosis and prompt clinicians to record extra data. However, there is persistent evidence of low uptake of CDSSs in the clinic. We interviewed UK General Practitioners (GPs) to understand what features of CDSSs, and the contexts of their use, facilitate or present barriers to their use. Methods We interviewed 11 practicing GPs in London and South England using a semi-structured interview schedule and discussed a hypothetical CDSS that could detect early signs of dementia. We applied thematic analysis to the anonymised interview transcripts. Results We identified three overarching themes: trust in individual CDSSs; usability of individual CDSSs; and usability of CDSSs in the broader practice context, to which nine subthemes contributed. Trust was affected by CDSS provenance, perceived threat to autonomy and clear management guidance. Usability was influenced by sensitivity to the patient context, CDSS flexibility, ease of control, and non-intrusiveness. CDSSs were more likely to be used by GPs if they did not contribute to alert proliferation and subsequent fatigue, or if GPs were provided with training in their use. Conclusions Building on these findings we make a number of recommendations for CDSS developers to consider when bringing a new CDSS into GP patient records systems. These include co-producing CDSS with GPs to improve fit within clinic workflow and wider practice systems, ensuring a high level of accuracy and a clear clinical pathway, and providing CDSS training for practice staff. These recommendations may reduce the proliferation of unhelpful alerts that can result in important decision-support being ignored.

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