Electronic Thesis and Dissertation Repository

e-Visits For Early Post-operative Visits Following Orthopaedic Surgery Can They Add Efficiency Without Sacrificing Effectiveness

William G. Jeffery, The University of Western Ontario

Abstract

We asked 217 sport surgery and 135 total knee arthroplasty (TKA) patients to complete a questionnaire (e-Visit) before attending their two and six-week post-operative appointment. Our primary objective was to use the questions asked of patients prior to their appointment to develop a model that could be used as web-based e-Visit to predict early post-operative adverse events. Gold standard comparison was the surgeon’s opinion as to the presence or absence of an event at follow-up. Secondary objective was evaluation of a simplified model. We found good area under the curve (AUC) statistics (0.76 (95% CI 0.69 - 0.84) and 0.80 (95% CI .74 - .85)) and good sensitivity (0.70, 0.83) and specificity (0.70, 0.80) for the two- week model and for the six-week model respectively. The simplified models and raw-data models were similar. Future work should improve the web-based interface, include educational content, and be validated using a large multicenter RCT.