Learning Health System Clinician Feedback Using Patient-reported Data to Increase Implementation of Post-operative Opioid Prescribing Guidelines: a Stepped-wedge Cluster Randomized Trial

This research study will analyze results from a Penn Medicine Opioid Task Force initiative using a two-arm stepped-wedge cluster randomized trial design. The feedback intervention will be rolled out across all participating Penn Medicine surgical departments and divisions currently using Penn Medicine's post-operative text-messaging learning health system platform. Timing of intervention roll-out within each department and division will be randomly assigned to permit evaluation of the effect of the intervention.

With the stepped wedge design, not only will all attendings and associated prescribers ultimately receive the intervention, but by the end of the trial, each will be actively using the intervention, meaning its sustenance would occur automatically. A stepped-wedge design will be utilized, in which all clinicians begin in usual care and the order in which they adopt interventions is randomly assigned, because it has both practical and scientific advantages over traditional parallel-cluster randomized designs, in which randomization determines which clusters adopt the intervention at all. Importantly, the stepped-wedge design provides time to prepare surgical divisions for implementation of the intervention(s), enhances stakeholders' enthusiasm for participating by ensuring that each will receive the intervention(s), and typically increases statistical power. The primary analysis of study outcomes will be conducted at the patient-level. Secondary analyses will be conducted at the prescriber and attending surgeon level.