Intervening to enhance collaboration in translational research: A relational coordination approach. Issue 4 (14th August 2017)

• Record Type: Journal Article
• Authors: Perloff, Jennifer; Rushforth, Alice; Welch, Lisa C.; Daudelin, Denise; Suchman, Anthony L.; Hoffer Gittell, Jody; Santos, Hannah; Beswick, Joanne; Moore, Saleema; Selker, Harry P.
• Is Part Of: Journal of clinical and translational science. Volume 1:Issue 4(2017)
• Page Start: 218
• Page End: 225
• Publication Date: 2017-08-14
• Subjects: Relational coordination, -- collaboration, -- culture, -- formative evaluation; Clinical medicine -- Research -- Periodicals; Medicine, Experimental -- Periodicals; Human experimentation in medicine -- Periodicals; 616.027
• DOI: 10.1017/cts.2017.10
• Languages: English
• ISSNs: 2059-8661

Abstract

Abstract : Introduction: A core challenge of a multidisciplinary and multi-organizational translational research enterprise such as a Clinical and Translational Research Award (CTSA) is coordinating and integrating the work of individuals, workgroups, and organizations accustomed to working independently and autonomously. Tufts Clinical and Translational Science Institute (CTSI) undertook and studied a multifacted intervention to address this challenge and to create a culture of systems thinking, process awareness, responsive to others' needs, and shared decision-making. Intervention: The intervention, based on relational coordination, included 1) relational interventions, in three staff retreats and a diagnostic survey to provide feedback on the current quality of relational coordination, and 2) structural interventions, in the launching of five new cross-functional teams with regular meeting structures. Methods: A mixed-methods evaluation yielded quantitative data via two types of team surveys and qualitative data via interviews and meeting observations. Results: The findings suggest that interventions to improve relational coordination are feasible for CTSAs, including good fidelity to the model and staff/physician engagement. Survey and interview data suggest model improvements in coordination and alignment. Further research about their optimal design is warranted.