International Journal of Health Policy and Management

International Journal of Health Policy and Management

Applying KT Network Complexity to a Highly-Partnered Knowledge Transfer Effort; Comment on “Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation”

Document Type : Commentary

Authors
JoAnn E. Kirchner 1
Sara J. Landes 2
Aaron E. Eagan 3
1 QUERI for Team-Based Behavioral Healthcare, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
2 VISN 16 South Central Mental Illness Research Education and Clinical Center (MIRECC), Central Arkansas VA Health Care System, Little Rock, AR, USA
3 Office of Mental Health and Suicide Prevention, Department of Veterans Affairs, Gainesville, FL, USA
10.15171/ijhpm.2017.141
Abstract
The re-conceptualization of knowledge translation (KT) in Kitson and colleagues’ manuscript “Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation” is an advancement in how one can incorporate implementation into the KT process. Kitson notes that “the challenge is to explain how it might help in the healthcare policy, practice, and research communities.” We propose that these concepts are well presented when considering highly-partnered research that includes all sectors. In this manuscript we provide an example of highly-partnered KT effort framed within the KT Complexity Network Theory. This effort is described by identifying the activities and sectors involved.
Keywords
Knowledge Translation
Complexity Theory
Implementation Science
Healthcare
Partnered Research
Subjects
  1. Kitson A, Brook A, Harvey G, Jordan Z, Marshall R, O’Shea R, & Wilson D. Using complexity and network concepts to inform healthcare knowledge translation. Int J Health Policy Manag. 2017; Forthcoming.  doi:10.15171/ijhpm.2017.79
  2. McCarthy JF, Bossarte RM, Katz IR. Predictive modeling and concentration of the risk of suicide: Implications for preventive Interventions in the US Department of Veterans Affairs. Am J Public Health. 2015;105(9):1935-1942. doi:10.2105/AJPH.2015.302737
  3. Kessler RC, Hwang I, Hoffmire CA, et al. Developing a practical suicide risk prediction model for targeting high-risk patients in the Veterans Health Administration. Int J Methods Psychiatr Res. 2017;26(3). doi:10.1002/mpr.1575
  4. Harvey G, Kitson A. PARIHS revisited: from heuristic to integrated framework for the successful implementation of knowledge into practice. Implement Sci. 2016;11:33. doi:10.1186/s13012-016-0398-2
  5. Kirchner JE, Ritchie MJ, Pitcock JA, Parker LE, Curran GM, Fortney JC. Outcomes of a partnered facilitation strategy to implement primary care-mental health. J Gen Intern Med. 2014;29 Suppl 4:904-912. doi:10.1007/s11606-014-3027-2
  6. Landes SJ. Randomized program evaluation of a national implementation of a suicide prevention outreach program in the Department of Veterans Affairs: Initial outcomes and experiences in partnered research. Panel presentation at the Society for Implementation Research Collaboration conference, Seattle, WA; September 2017.
International Journal of Health Policy and Management
Volume 7, Issue 6
2018
Pages 560-562

  • Received Date 12 October 2017
  • Revised Date 10 December 2017
  • Accepted Date 10 December 2017
  • First Published Date 01 June 2018
  • Published Date 01 June 2018