Evaluating a web-based personalized decision report for total knee or hip replacement: Lessons learned from patients

Abstract

Rationale: Patient-reported outcomes (PROs) are increasingly used in the context of clinical care, but evaluation of patients' perspectives of PRO-based applications in routine care remains limited. Aims and Objectives: This paper investigates patients' acceptability of a personalized web-based decision report for total knee or hip replacement and identifies opportunities to refine the report. Method: This qualitative evaluation was embedded in a pragmatic cluster randomized trial of the report. We interviewed 25 patients with knee and hip osteoarthritis about their experiences using the personalized decision report in the context of a surgical consultation. The web-based report contained current descriptive PRO scores of pain, function and general physical health; tailored predicted postoperative PRO scores (i.e., personalized likely outcomes based on actual knee or hip replacement outcomes of similar patients in a national registry); and information about alternative nonoperative treatments. Two trained researchers analysed the interview data qualitatively using a combination of inductive and deductive coding. Results: We identified three major categories for evaluation: content of report, presentation of data in report and engagement with report. Patients generally liked the report overall but specifically valued different pages of the report based on where they were in the surgical decision-making process. Patients identified areas of confusion in data presentation related to graph orientation, terminology and interpretation of T-scores. Patients also highlighted support needs to meaningfully engage with the information in the report. Conclusion: Our findings highlight areas of opportunity to further refine this personalized web-based decision report and similar patient-facing PRO applications for routine clinical care. Specific examples include additional tailoring of reports via filterable web-based dashboards and scalable educational supports to facilitate more independent patient understanding and use.