CASE STUDY
Revealing the path of pain recovery
A Multi-Measure, Longitudinal Pain Case Study
Post-surgical pain recovery is expected to improve over time, yet traditional clinic-based assessments provide only episodic insight into when meaningful recovery actually occurs.
This case study explores how a repeat, multi-measure, at-home measurement strategy more clearly characterized pain resolution and functional recovery following total hip replacement by integrating patient-reported outcomes with objective, longitudinal measures.
See how a measurement-first approach strengthened interpretation of pain, function, mobility, and physiology following surgery.
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What You'll Learn
How integrating patient-reported outcomes (PROs), clinician-reported outcomes, performance-based measures, and device-derived data improved interpretability
Why single pain endpoints may fail to reflect coordinated recovery across domains
How longitudinal analysis identified meaningful recovery trajectories and inflection points
Implications for designing clearer, more sensitive endpoints in pain programs
How multi-measure integration reduced ambiguity without increasing sample size
