Research funder required research partnerships: a qualitative inquiry

Implement Sci. 2014 Nov 28:9:176. doi: 10.1186/s13012-014-0176-y.

Abstract

Background: Researchers and funding agencies are increasingly showing interest in the application of research findings and focusing attention on engagement of knowledge-users in the research process as a means of increasing the uptake of research findings. The expectation is that research findings derived from these researcher-knowledge-user partnerships will be more readily applied when they became available. The objective of this study was to investigate the experiences, perceived barriers, successes, and opinions of researchers and knowledge-users funded under the Canadian Institutes of Health Research's integrated Knowledge Translation funding opportunities for a better understanding of these collaborations.

Methods: Participants, both researchers and knowledge-users, completed an online survey followed by an individual semi-structured phone interview supporting a mixed methods study. The interviews were analyzed qualitatively using a modified grounded theory approach.

Results: Survey analysis identified three major partnership types: token, asymmetric, and egalitarian. Interview analysis revealed trends in perceived barriers and successes directly related to the partnership formation and style. While all partnerships experienced barriers, token partnerships had the most challenges and general poor perception of partnerships. The majority of respondents found that common goals and equality in partnerships did not remove barriers but increased participants' ability to look for solutions.

Conclusions: We learned of effective mechanisms and strategies used by researchers and knowledge-users for mitigating barriers when collaborating. Funders could take a larger role in helping facilitate, nurture, and sustain the partnerships to which they award grants.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attitude of Health Personnel
  • Health Services Research / economics*
  • Health Services Research / statistics & numerical data
  • Humans
  • Interprofessional Relations*
  • Male
  • Qualitative Research
  • Research Personnel / psychology
  • Research Personnel / statistics & numerical data*
  • Research Support as Topic*