Applying the lessons of implementation science to maximize feasibility and usability in team science intervention development. Issue 1 (22nd July 2021)

• Record Type: Journal Article
• Authors: Rolland, Betsy; Resnik, Felice; Hohl, Sarah D.; Johnson, LaKaija J.; Saha-Muldowney, Mondira; Mahoney, Jane
• Is Part Of: Journal of clinical and translational science. Volume 5:Issue 1(2021)
• Publication Date: 2021-07-22
• Subjects: Team science -- translational teams -- implementation science; Clinical medicine -- Research -- Periodicals; Medicine, Experimental -- Periodicals; Human experimentation in medicine -- Periodicals; 616.027
• DOI: 10.1017/cts.2021.826
• Languages: English
• ISSNs: 2059-8661

Abstract

Abstract: The Science of Team Science (SciTS) has generated a substantial body of work detailing characteristics of effective teams. However, that knowledge has not been widely translated into accessible, active, actionable, evidence-based interventions to help translational teams enhance their team functioning and outcomes. Over the past decade, the field of Implementation Science has rapidly developed methods and approaches to increase the translation of biomedical research findings into clinical care, providing a roadmap for mitigating the challenges of developing interventions while maximizing feasibility and utility. Here, we propose an approach to intervention development using constructs from two Implementation Science frameworks, Consolidated Framework for Implementation Research, and Reach, Effectiveness, Adoption, Implementation, and Maintenance, to extend the Wisconsin Interventions for Team Science framework described in Rolland et al. 2021. These Implementation Science constructs can help SciTS researchers design, build, test, and disseminate interventions that meet the needs of both adopters, the institutional leadership that decides whether to adopt an intervention, and implementers, those actually using the intervention. Systematically considering the impact of design decisions on feasibility and usability may lead to the design of interventions that can quickly move from prototype to pilot test to pragmatic trials to assess their impact.