Hostname: page-component-6766d58669-76mfw Total loading time: 0 Render date: 2026-05-20T06:12:24.236Z Has data issue: false hasContentIssue false

Intervening to enhance collaboration in translational research: A relational coordination approach

Published online by Cambridge University Press:  14 August 2017

Jennifer Perloff
Affiliation:
Brandeis University, Waltham, MA, USA
Alice Rushforth
Affiliation:
Tufts Medical Center, Tufts Clinical and Translational Science Institute, Boston, MA, USA
Lisa C. Welch
Affiliation:
Tufts Medical Center, Tufts Clinical and Translational Science Institute, Boston, MA, USA
Denise Daudelin
Affiliation:
Tufts Medical Center, Tufts Clinical and Translational Science Institute, Boston, MA, USA
Anthony L. Suchman
Affiliation:
Relationship Centered Health Care, Rochester, NY, USA
Jody Hoffer Gittell
Affiliation:
Brandeis University, Waltham, MA, USA
Hannah Santos
Affiliation:
Tufts Medical Center, Tufts Clinical and Translational Science Institute, Boston, MA, USA
Joanne Beswick
Affiliation:
Brandeis University, Waltham, MA, USA
Saleema Moore
Affiliation:
Brandeis University, Waltham, MA, USA
Harry P. Selker*
Affiliation:
Tufts Medical Center, Tufts Clinical and Translational Science Institute, Boston, MA, USA
*
*Address for correspondence: H. P. Selker, M.D., M.S.P.H., Tufts Clinical and Translational Science Institute, 800 Washington Street, #63, Boston, MA 02111, USA. (Email: hselker@tuftsmedicalcenter.org)
Rights & Permissions [Opens in a new window]

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.

Information

Type
Education
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2017
Figure 0

Fig. 1 The relational model of organizational change.

Figure 1

Fig. 2 Tufts Clinical and Translational Science Institute (CTSI) relational coordination (RC) intervention logic model. CE, community engagement; CER, comparative effectiveness research; CTR, clinical and translational research; RCRC, relational coordination research collaborative; TBD, to be determined.

Figure 2

Fig. 3 Relational coordination Intervention Fidelity Criteria.

Figure 3

Table 1 Timeline of key activities, 2014–2016

Figure 4

Table 2 Relational coordination (RC) survey results for education survey by wave*

Figure 5

Table 3 Relational coordination (RC) survey results for research services work group and the clinical trials and research services coalition by wave*

Figure 6

Table 4 Team climate inventory results for individuals who completed 2 waves of data collection