Abstract
BACKGROUND: Substantial work has been done to update or create evidence-based practices (EBPs) in the changing health care landscape. However, the success of these EBPs is limited by low levels of clinician implementation. The goal of this study is to describe the use of simulated patient (SP) methodology as a framework to develop implementation bundles to increase the effectiveness, sustainability, and reproducibility of EBPs across health care clinicians. The primary outcome was identifying likely facilitators for the successful implementation of EBP. Our secondary outcome was the assess the feasibility of using SPs to illuminate likely implementation barriers and facilitators. METHODS: We observed 12 primary care clinicians' first-time experiences with six unique decision-making algorithms for use with patients exhibiting concerning behaviors associated with long-term opioid therapy (LTOT) for chronic pain over Zoom. Each clinician was paired with two simulated patients trained to portray individuals with one of the concerning behaviors addressed by the algorithms. The Standardized Patient-evaluations were followed by CFIR guided one-on-one interviews with the clinicians. RESULTS: The SP portrayal illuminated factors that were pertinent to address in the implementation bundle. SPs were realistic in their portrayal of patients with concerning behaviors associated with LTOT for chronic pain, but clinicians also noted that their patients in practice may have been more aggressive about their treatment plan. CONCLUSIONS: SP simulation provides unique opportunities for obtaining crucial feedback to identify best practices in the adoption of new EBPs for high-risk patients.