Background: The use of research evidence in policy making is a complex and challenging process that has a long history in various fields, especially in healthcare. Different terms and concepts have been used to describe the relationship between research and policy, but they often lack clarity and consensus. To address this gap, several strategies and models have been proposed to facilitate evidence informed policy making and to identify the key factors and mechanisms involved. This study aims to critically review the existing models of evidence informed policy making (EIPM) in healthcare and to assess their strengths and limitations.
Method: A systematic search and review conducted to identify and critically assess EIPM models in healthcare. We searched PubMed, Web of Science and Scopus databases as major electronic databases and applied predefined inclusion criteria to select the models. We also checked the citations of the included models to find other scholars' perspectives. Each model was described and critiqued each model in detail and discussed their features and limitations.
Result: Nine models of EIPM in healthcare were identified. While models had some strengths in comprehension, flexibility and theoretical foundations, analysis also identified limitations including: presupposing rational policymaking; lacking alternatives for time-sensitive situations; not capturing policy complexity; neglecting unintended effects; limited context considerations; inadequate complexity concepts; limited collaboration guidance; and unspecified evidence adaptations.
Conclusion: The reviewed models provide useful frameworks for EIPM but need further improvement to address their limitations. Concepts from sociology of knowledge, change theory and complexity science can enrich the models. Future EIPM models should better account for the complexity of research-policy relationships and provide tailored strategies based on the policy context.
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http://dx.doi.org/10.3389/fpubh.2024.1264315 | DOI Listing |
BJOG
January 2025
National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Objective: To assess the cost-effectiveness of modifying current antenatal screening by adding first trimester structural anomaly screening to standard of care second trimester anomaly screening.
Design: Health economic decision model.
Setting: National Health Service (NHS) in England and Wales.
iScience
January 2025
School of Economics and Management, China University of Geosciences, Wuhan 430074, China.
In the emerging energy-sharing market, prosumers enhance resource allocation and promote low-carbon transitions through energy trade. Implicit carbon transfers in energy sharing necessitate scientific carbon responsibility allocation to guide prosumers' decisions in integrated electricity, heat, and carbon markets. To coordinate growing multi-prosumers, and stimulate multi-energy sharing and equitable carbon responsibility allocation, an innovative framework for joint multi-energy and carbon responsibility sharing is designed to enhance local energy transaction, carbon emission management, and mutual benefits under the guiding principles of individual rationality, low-carbon orientation, transparency, and scalability.
View Article and Find Full Text PDFGlob Health Action
December 2024
Institute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Social vulnerability has been shown to be a strong predictor of disparities in health outcomes. A common approach to estimating social vulnerability is using a composite index, such as the social vulnerability index (SVI), which combines multiple factors corresponding to key social determinants of health. Lawal and Osayomi created an SVI to explore key social determinants of health-related COVID-19 infection among the Nigerian population.
View Article and Find Full Text PDFHealth Res Policy Syst
January 2025
School of Population Health, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia.
Background: Obesity is a multi-faceted problem that requires complex health system responses. While no single program or service is sufficient to meet every individual's needs, some criteria that increase the likelihood of program/service quality delivery to produce effective outcomes exist. However, although research on health commissioning is available internationally and is growing within the Australian context, no evidence exists of a multi-criteria decision-making framework to address the complexity required for effective commissioning of overweight and obesity early intervention and weight management programs or services.
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