Connecting knowledge and action in complex health systems
Examples from British Columbia, Canada
Bibliographic Data
| ID | 12889107 |
|---|---|
| Authors | Katrina M Plamondon (0000-0002-2817-0621, University of British Columbia, corresponding author), Lupin Battersby (0000-0002-2338-8779, Simon Fraser University), Agnes Black (0000-0001-9144-9564, University of British Columbia), Genevieve Creighton (Michael Smith Health Research BC), Alison M Hoens (0000-0002-9533-9079, University of British Columbia), Wendy B Young (0000-0001-9584-6233, Vancouver Island University) |
| Year | 2020 |
| Volume | 18 |
| Issue | 1 |
| Pages | 149-161 |
| Publication date | 2020-05-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Evidence & Policy (JOURNAL) |
| Journal identifiers | ISSN: 1744-2648 • E-ISSN: 1744-2656 |
| Publisher | Policy Press (PUBLISHER • GB) |
| DOI | 10.1332/174426420x15883549951570 |
| OpenAlex | W3026317084 |
| Language | EN |
| References cited | 9 |
Health systems are comprised of networks of people connected by complex pathways between care delivery, programming, planning and policy Every day, people in these networks navigate service needs while facing ever-changing circumstances. Using research evidence to inform how we navigate these demands is essential to finding and testing responsive solutions that promote health (Global Ministerial Forum for Research on Health, 2008). Despite the value of evidence to improve health outcomes and meet needs, a gap between knowledge and action persists
Action (physics · Physics · Evaluation and Performance Assessment · Primary Care and Health Outcomes · Public Health Policies and Education
Lost in knowledge translation
Integrated knowledge translation (IKT) in health care
Studying complexity in health services research
When complexity science meets implementation science
The answer is 17 years, what is the question
Integrated knowledge translation
Analyzing Data Generated Through Deliberative Dialogue
Fostering Complexity Thinking in Action Research for Change in Social-Ecological Systems
| Highly cited | No |
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