Structuring successful collaboration: a longitudinal social network analysis of a translational research network

Janet C Long1, Peter Hibbert2, Jeffrey Braithwaite3

  • 1Australian Institute of Health Innovation, Level 6, 75 Talavera Road, North Ryde, 2109, NSW, Australia. janet.long@mq.edu.au.

Implementation Science : IS
|February 12, 2016
PubMed
Abstract

Insights

This study shows a translational research network (TRN) effectively fostered collaboration among diverse members, leading to practice changes. The network

Area of Science:

  • Health Services Research
  • Social Network Analysis
  • Translational Science

Background:

  • A translational research network (TRN) was established to improve cancer patient care.
  • Initial surveys revealed pre-existing silos among researchers and clinicians.
  • The TRN aimed to mediate collaborative relationships and overcome these silos.

Purpose of the Study:

  • To report on a third social network survey of the TRN.
  • To analyze the structure of collaborative arrangements among TRN members.
  • To assess the impact and outcomes of TRN membership.

Main Methods:

  • An online, whole network survey was administered to TRN members in May 2015.
  • Respondents identified personal impacts, outputs, and outcomes from TRN membership.
  • Collaboration partners were nominated, with information on prior acquaintance.

Main Results:

  • The TRN grew from 68 to 244 members over four years.
  • 1658 collaborative ties were identified, with over 40% involving new connections.
  • 77% of respondents reported practice changes attributed to the TRN, exceeding formal project outcomes.

Conclusions:

  • The TRN's structure, with active central actors and brokers, effectively fosters collaboration.
  • Implementation initiatives driven by the network lead to significant practice changes.
  • Social professional networks play a crucial role in driving such collaborations.

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