Barriers and facilitators to knowledge translation at the science-policy interface during the COVID-19 pandemic public health emergency: a rapid review and theoretical analysis to inform development of a logic model.

BACKGROUND: The COVID-19 pandemic necessitated the rapid production, synthesis, and translation of best available evidence to inform public health policy and practice decisions. This presents a unique learning opportunity to understand the interventions and strategies used to promote evidence-informed decision-making at the science-policy interface during this public health emergency and to explore what hindered or facilitated these processes. OBJECTIVES: To describe the interventions at the science-policy interface used to support knowledge translation during the COVID-19 pandemic, explore the barriers and facilitators to such interventions, and apply findings to formal knowledge translation principles to inform the development of a logic model. METHODS: A systematic literature search of Medline via OVID, Scopus, and Web of Science was conducted. Studies were assessed for eligibility and critically appraised. A narrative synthesis was conducted. Knowledge translation models and frameworks were identified via Google Scholar and analysed for their applicability to a public health emergency context. RESULTS: We included 18 articles. The most common interventions at the science-policy interface were advisory committees, knowledge translation platforms and hubs, knowledge translation activities (knowledge brokering, priority-setting, workshops) and products (data visualisation and summaries). Barriers included: data availability and accessibility, time constraints, underrepresentation in advisory committees, political influence, and lack of transparency. Facilitators included: research coordination, interdisciplinary collaboration, transparency in research methods, and actionable and accessible evidence. We identified 11 knowledge translation models that contributed to the logic model. CONCLUSIONS: Our findings, developed from empirical findings and theoretical principles, offer valuable insights into how knowledge translation infrastructures and processes could be strengthened in preparation for future public health emergencies.