Objectives: To describe researchers' experiences with involving health system managers and public policy-makers (i.e. decision-makers) in the research process, and decision-makers' experiences with the research process, including their assessments of the benefits and costs of the involvement, and their recommendations for facilitating it.
Methods: We conducted semi-structured interviews with principal investigators and research staff for the seven research programmes funded by the Canadian Health Services Research Foundation in the 1999 and 2000 competition years, and with the decision-makers they involved in the research programmes.
Results: We identify three models of decision-maker involvement--formal supporter, responsive audience, and integral partner--each of which yielded important contributions to the research process. Four factors--the stage of the research process, time commitment required, alignment between decision-maker expertise and programme needs, and an existing relationship between the researcher and decision-maker--influenced the role played by decision-makers.
Conclusions: While on balance a beneficial experience, the further promotion of decision-maker involvement in the research process should involve helping researchers and decision-makers identify strategic opportunities for decision-maker involvement and support the costs associated with the involvement. Consideration should also be given to undertaking and evaluating interactions between researchers and decision-makers outside of the research process.
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http://dx.doi.org/10.1258/135581903322405144 | DOI Listing |
Sci Rep
January 2025
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Flash flood susceptibility mapping is essential for identifying areas prone to flooding events and aiding decision-makers in formulating effective prevention measures. This study aims to evaluate the flash flood susceptibility in the Yarlung Tsangpo River Basin (YTRB) using multiple machine learning (ML) models facilitated by the H2O automated ML platform. The best-performing model was used to generate a flash flood susceptibility map, and its interpretability was analyzed using the Shapley Additive Explanations (SHAP) tree interpretation method.
View Article and Find Full Text PDFSci Total Environ
January 2025
Center for Environmental Radioactivity (CERAD) CoE, Norwegian University of Life Sciences, P.O. Box 5003, N-1432 Ås, Norway; Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), P.O.Box 5003, NO-1432 Ås, Norway.
Numerical transport models are important tools for nuclear emergency decision makers in that they rapidly provide early predictions of dispersion of released radionuclides, which is key information to determine adequate emergency protective measures. They can also help us understand and describe environmental processes and can give a comprehensive assessment of transport and transfer of radionuclides in the environment. Transport of radionuclides in air and ocean is affected by a number of different physico-chemical processes.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1401, 18e rue, Québec, Qc, Canada.
Background: Multifaceted interventions that address barriers and facilitators have been shown to be most effective for increasing the adoption of high-value care, but there is a knowledge gap on this type of intervention for the de-implementation of low-value care. Trauma is a high-risk setting for low-value care, such as unnecessary diagnostic imaging and the use of specialized resources. The aim of our study was to develop and assess the usability of a multifaceted intervention to reduce low-value injury care.
View Article and Find Full Text PDFExpert Rev Pharmacoecon Outcomes Res
January 2025
Faculty of Sciences and Medical Sciences, Lebanese University, Hadath, Lebano.
Background: Economic evaluation guidelines (EEGs) serve as a valuable tool to assist appraisers in making consistent and transparent recommendations, standardize EE studies, enhance their quality, and minimize methodological uncertainties. As other LMICs, Lebanon aims for UHC where EEG is a necessity. This paper aims to report on the Lebanese health EEG (LEEG) and its reference case, including the intermediate results leading to the final decisions.
View Article and Find Full Text PDFWe summarise key messages from the World Bank Report . A central lesson of the Report is that in decision-making on the path to Universal Health Coverage (UHC), procedural fairness matters alongside substantive fairness. Decision systems should be assessed using a complete conception of procedural fairness that embodies core commitments to impartial and equal consideration of interests and perspectives.
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