Structural analysis of health-relevant policy-making information exchange networks in Canada
Autor: | Kimberlyn McGrail, Nancy Carter, Anne Lardeux, Damien Contandriopoulos, Noralou P. Roos, Robert Schwartz, Denise Bryant-Lukosius, Catherine Larouche, Evert A. Lindquist, Bernard-Simon Leclerc, François Benoit, Ruth Martin-Misener, Sabrina T. Wong, Adrian R. Levy, Raisa B. Deber, Carolyn Pullen, Katerina Maximova, Arnaud Duhoux, Trisha Greenhalgh, Thomas W. Valente, Candace I. J. Nykiforuk, Annie Carrier, Mélanie Perroux |
---|---|
Přispěvatelé: | University of Manitoba |
Rok vydání: | 2017 |
Předmět: |
Canada
Health Information Exchange Knowledge management Best practice Health Informatics Heath policy Scientific evidence Social network analysis Study Protocol Knowledge exchange 03 medical and health sciences 0302 clinical medicine Absorptive capacity Humans Medicine 030212 general & internal medicine Policy Making Information exchange lcsh:R5-920 business.industry Policy-making 030503 health policy & services Health Policy Health Plan Implementation Public Health Environmental and Occupational Health General Medicine Cognitive reframing Snowball sampling lcsh:Medicine (General) 0305 other medical science business Centrality Knowledge transfer Health-relevant policies |
Zdroj: | Implementation Science : IS Implementation Science, Vol 12, Iss 1, Pp 1-11 (2017) |
ISSN: | 1748-5908 |
Popis: | Background: Health systems worldwide struggle to identify, adopt, and implement in a timely and system-wide manner the best—evidence-informed—policy-level practices. Yet, there is still only limited evidence about individual and institutional best practices for fostering the use of scientific evidence in policy-making processes The present project is the first national-level attempt to (1) map and structurally analyze—quantitatively—health-relevant policy-making networks that connect evidence production, synthesis, interpretation, and use; (2) qualitatively investigate the interaction patterns of a subsample of actors with high centrality metrics within these networks to develop an in-depth understanding of evidence circulation processes; and (3) combine these findings in order to assess a policy network’s “absorptive capacity” regarding scientific evidence and integrate them into a conceptually sound and empirically grounded framework. Methods: The project is divided into two research components. The first component is based on quantitative analysis of ties (relationships) that link nodes (participants) in a network. Network data will be collected through a multi-step snowball sampling strategy. Data will be analyzed structurally using social network mapping and analysis methods. The second component is based on qualitative interviews with a subsample of the Web survey participants having central, bridging, or atypical positions in the network. Interviews will focus on the process through which evidence circulates and enters practice. Results from both components will then be integrated through an assessment of the network’s and subnetwork’s effectiveness in identifying, capturing, interpreting, sharing, reframing, and recodifying scientific evidence in policy-making processes. Discussion: Knowledge developed from this project has the potential both to strengthen the scientific understanding of how policy-level knowledge transfer and exchange functions and to provide significantly improved advice on how to ensure evidence plays a more prominent role in public policies. |
Databáze: | OpenAIRE |
Externí odkaz: |