Abstract
INTRODUCTION: Consensus is lacking regarding the optimal strategy to influence surgeons' behaviors to reduce low-value surgical care. Comprehensively describing the existing body of literature that seeks to intervene on surgeons' preoperative decision-making may aid in structuring future behavior change strategies. METHODS: We performed a scoping review using four databases (Medical Literature Analysis and Retrieval System Online, Embase, Web of Science, and Cumulated Index to Nursing and Allied Health Literature) for articles that tested the effect of behavioral-based interventions on any aspect of surgeons' decision-making in the preoperative setting. Abstracted data were characterized by summative descriptions and analyzed using the Tailored Implementation for Chronic Disease framework, mapping aspects of deimplementation strategies in the studies onto the determinant(s) that they altered. Data abstraction and mapping tools were piloted and iteratively revised before two researchers independently assessing studies and categorizing determinants, and then meeting to discuss their decisions. RESULTS: There were 1460 articles identified from the initial search, with 17 full text articles ultimately included in the scoping review. Eight studies relied on a multidisciplinary preoperative conference to accomplish their aims, while five were multifaceted in their approach to deimplementation, and four studies used only a clinical decision support tool to accomplish their aims. Mapping determinants addressed in these studies onto the Tailored Implementation for Chronic Disease framework demonstrated that most strategies attempted to close knowledge gaps, leverage communication between providers, and broadcast institutional prioritization of change. CONCLUSIONS: There is a small but growing field of implementation and deimplementation strategies in preoperative surgical decision-making, and different approaches may be equally effective in varied clinical contexts. Deliberate measurement and comparison of outcomes, as well as selection of control groups, are areas for improvement in future work.