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Acceptability and Utility of a Web-Based Patient-Completed Clinical Decision Aid for the Differential Diagnosis of
Alistair Wardrope1,2, Lindsay Blank3, Melloney Ferrar2
1Division of Neuroscience, University of Sheffield, Royal Hallamshire Hospital, Glossop Road, Sheffield, S10 2JF, United Kingdom, 44 01142434343 ext 12118.
Background:
Web-based patient-completed clinical decision aids (CDAs) have the potential to reduce inefficient resource use and patient risk in acute and emergency settings while minimizing additional clinician time burdens. However, such interventions must be acceptable for use by their target audience-patients.
Objective:
The objective of this study is to assess acceptability and utility to patients of a novel online patient-completed CDA for the differential diagnosis of transient loss of consciousness (TLoC).
Methods:
Within a larger validation study of a patient-completed CDA, we conducted nested qualitative semistructured interviews with a purposive sample of 20 patients who used the CDA in the study and performed thematic analysis of interview transcripts.
Results:
We identified 11 themes within the data: 3 addressing the content of the CDA, 3 addressing the online implementation, and 4 addressing usability and acceptability of the CDA. Respondents generally felt an online CDA was easy to complete and acceptable, though they felt that increased options to personalize descriptions of their experience would be helpful and offered guidance on how to make it a more useful resource for patients as well as clinicians. We present good practice points for the design of patient-completed online CDAs on the basis of our thematic analysis.
Conclusions:
Findings suggest that patient-completed CDAs may be accessible and feasible in acute and emergency settings, though further research is needed to explore their real-world usability. In designing such tools, clinicians should endeavor to maintain their accessibility for all relevant patient groups and to use them to provide direct patient benefit, as well as to support clinical decision-making, for example, through simultaneous patient-directed outputs.
