Shared decision making (SDM) is not widely practiced in routine care due to a variety of organizational, provider, patient, and contextual factors. This article explores how implementation science—which encourages attention to the multilevel contextual factors that influence the adoption, implementation, and sustainment of health care practices—can provide useful insights for increasing SDM use in routine practice. We engaged with stakeholders representing different organizations and geographic locations over three phases: 1) multidisciplinary workgroup meeting comprising researchers and clinicians (n = 11); 2) survey among a purposive sample of 47 patient advocates, clinicians, health care system leaders, funders, policymakers, and researchers; and 3) working session among diverse stakeholders (n = 30). The workgroup meeting identified priorities for action and research, which included targeting multiple audiences and levels, shifting culture toward valuing and supporting SDM, and considering contextual factors influencing SDM implementation. Survey respondents provided recommendations for increasing adoption, implementation, and maintenance of SDM in practice including providing tools to support SDM, obtaining stakeholders’ involvement, and raising awareness of the importance of SDM. Stakeholders in the working session provided recommendations on the design of a guide for implementation of SDM in clinical settings, strategies to disseminate educational curricula on SDM, and strategies to influence policies to increase SDM use. These specific recommendations serve as a call to action to pursuing specific promising strategies aimed at increasing SDM use in practice and enhance understanding of the perspectives of diverse stakeholders at multiple levels from an implementation science perspective that appear fruitful for further study and application.

The Centers for Medicare and Medicaid Services (CMS) has mandated shared decision making (SDM) using patient decision aids for three conditions (lung cancer screening, atrial fibrillation, and implantable defibrillators). These forward-thinking approaches are in response to a wealth of efficacy data demonstrating that decision aids can improve patient decision making. However, there has been little focus on how to implement these approaches in real-world practice. This article demonstrates how using an implementation science framework may help programs understand multilevel challenges and opportunities to improve adherence to the CMS mandates. Using the PRISM (Pragmatic Robust Implementation and Sustainability Model) framework, we discuss general challenges to implementation of SDM, issues specific to each mandate, and how to plan for, enhance, and assess SDM implementation outcomes. Notably, a theme of this discussion is that successful implementation is context-specific and to truly have successful and sustainable changes in practice, context variability, and adaptation to context must be considered and addressed.

Introduction: A key barrier to translation of biomedical research discoveries is a lack of understanding among scientists regarding the complexity and process of implementation. To address this challenge, the National Science Foundation’s Innovation Corps™ (I-Corps™) program trains researchers in entrepreneurship. We report results from the implementation of an I-Corps™ training program aimed at biomedical scientists from institutions funded by the National Center for Advancing Translational Sciences (NCATS). Methods: National/regional instructors delivered 5-week I-Corps@NCATS short courses to 62 teams (150 individuals) across six institutions. Content included customer discovery, value proposition, and validating needs. Teams interviewed real-life customers and presented the value of innovations for specific end-users weekly, culminating in a “Finale” featuring their refined business thesis and business model canvas. Methodology was developed to evaluate the newly adapted program. National mixed-methods evaluation assessed program implementation, reach, effectiveness using observations of training delivery and surveys at Finale (n = 55 teams), and 3–12 months post-training (n = 34 teams). Results: Innovations related to medical devices (33%), drugs/biologics (20%), software applications (16%), and diagnostics (8%). An average of 24 interviews was conducted. Teams reported increased readiness for commercialization over time (83%, 9 months; 14%, 3 months). Thirty-nine percent met with institutional technology transfer to pursue licensing/patents and 24% pursued venture capital/investor funding following the short courses. Conclusions: I-Corps@NCATS training provided the NCATS teams a rigorous and repeatable process to aid development of a business model based on customer needs. Outcomes of this pilot program support the expansion of I-Corps™ training to biomedical scientists for accelerating research translation.

This paper develops and tests a comprehensive psychological model of how narrative messages persuade. In this model, perceived realism and perceived similarity are considered as the antecedents of narrative engagement variables. There are three forms of narrative engagement, transportation, identification, and parasocial interaction, which are conceptualized as the primary mediating mechanisms. Message elaboration and psychological reactance are proposed as the secondary mediating mechanisms. A web-based study (N = 374) was conducted to test this complex model. Four video clips on sexual health topics from wellknown television series were used as the stimuli. Structural Equation Modeling (SEM) analyses showed that perceived realism and perceived similarity were antecedents of narrative engagement. There was conceptual overlap between the narrative engagement variables, but they remained distinct from each other. There was no unique effect on persuasion from parasocial interaction. There was evidence for direct effects on persuasion from transportation and identification, as well as their indirect effects through reducing psychological reactance. However, message elaboration was found to be negatively associated with message perception. Implications for narrative communication in general and future studies were discussed.