Related Experiment Video
Updated: Jul 26, 2025
07:45
The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
Published on: August 4, 2022
3.4K
Evaluating a web-based personalized decision report for total knee or hip replacement: Lessons learned from patients
Sarah Pila1, Brocha Z Stern2, Nan E Rothrock1
1Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Journal of Evaluation in Clinical Practice
|June 14, 2023
Summary
Patients found personalized web-based decision reports for knee or hip replacement helpful but desired clearer data presentation and support for better engagement. Refinements can improve patient-reported outcomes (PROs) applications in routine care.
Area of Science:
- Health Services Research
- Digital Health
- Patient Engagement
Background:
- Patient-reported outcomes (PROs) are increasingly integrated into clinical care.
- Evaluation of patient perspectives on PRO applications in routine practice is limited.
Purpose of the Study:
- To investigate patient acceptability of a personalized web-based decision report for total knee or hip replacement.
- To identify opportunities for refining PRO-based decision support tools.
Main Methods:
- Qualitative evaluation embedded in a pragmatic cluster randomized trial.
- Interviews with 25 patients with knee and hip osteoarthritis regarding their experience with a personalized decision report.
- Analysis of interview data using inductive and deductive coding.
Main Results:
- Patients generally appreciated the report but valued different sections based on their decision-making stage.
- Areas of confusion identified in data presentation (graph orientation, terminology, T-score interpretation).
- Patients expressed a need for additional support to engage effectively with the report's information.
Conclusions:
- Findings offer insights for refining personalized web-based decision reports and similar PRO applications for clinical use.
- Opportunities include enhanced tailoring via filterable dashboards and scalable educational support for improved patient understanding and utilization.
