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Forging a link between mentoring and collaboration: a new training model for implementation science.

Douglas A Luke1, Ana A Baumann2, Bobbi J Carothers2

  • 1George Warren Brown School of Social Work, Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130, USA. dluke@wustl.edu.

Implementation Science : IS
|October 15, 2016
PubMed
Summary
This summary is machine-generated.

Mentoring in implementation science fosters future scientific collaborations. The Implementation Research Institute (IRI) successfully builds these relationships, increasing the likelihood of new research, grants, and publications by nearly 7% per mentoring connection.

Keywords:
Implementation Research InstituteImplementation scienceMentoringNetwork analysisScientific collaborationTeam scienceTraining

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Area of Science:

  • Implementation Science
  • Team Science
  • Social Network Analysis

Background:

  • Training investigators in implementation science necessitates mentorship and collaboration.
  • The National Institute of Mental Health (NIMH) Implementation Research Institute (IRI) aims to foster these connections.
  • This study evaluates the mentoring and collaboration patterns within the IRI.

Purpose of the Study:

  • To assess the effectiveness of the IRI in establishing mentoring relationships.
  • To examine the relationship between mentoring and subsequent scientific collaborations among participants.
  • To model the impact of mentoring on collaboration in implementation science.

Main Methods:

  • Utilized participant self-reported data on mentoring and collaborations from 2012-2014.
  • Employed social network analysis, including descriptive statistics, visualizations, and statistical modeling.
  • Applied exponential random graph network models to analyze relationship patterns.

Main Results:

  • IRI effectively formed mentoring relationships among participants.
  • Mentoring received in 2012 significantly predicted scientific collaborations in 2014 (p=0.001).
  • Mentoring was linked to future collaborations in new research (p=0.009), grant submissions (p=0.003), and publications (p=0.017).

Conclusions:

  • Mentoring is crucial for implementation science and team science.
  • IRI successfully facilitated mentoring and subsequent collaborations.
  • Network analysis is a valuable tool for studying team science dynamics.