Osteoarthritis (OA) is among the leading causes of long term disability in Canada. The current model of care for OA - “one size fits all” - assumes OA as a homogeneous diagnostic group. Significant proportions of treatment non-response underlie a myriad of patient variables that could be utilized for prognostic stratification. Behavioural and psychosocial factors such as sleep and activity levels can impact the efficacy of treatment strategies. However, subjective patient reported outcomes of sleep and activity levels make it difficult to model such predictors. A Jawbone device worn during the pre- and post-operative period capturing activity levels and sleep quality would provide an objective window on the patient’s experience. Data would be used to stratify patient sub-populations, plan resource utilization for future “precision” medicine, set the stage for shared decision-making between patient and physician, and reduce limited healthcare dollars.
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