Background Healthcare settings are complex, and the decision-making process is usually complicated, too. Precise use of best evidence from different sources for increasing the desired outcomes is the result of EBM. Therefore, this study aimed to map the potential facilitators and barriers to EBM in health systems to help the healthcare managers to better implement EBM in their organizations. Methods The present study was a scoping review (SR) conducted in 2020 based on the integration of the frameworks presented by Arksey and O’Malley (2005) and Levac et al. (2010) considering the Joanna Briggs Institute guideline (2015). These frameworks consist of 6 steps. After finalizing the search strategy, 7 databases were searched, and the PRISMA-ScR was used to manage the retrieval and inclusion of the evidence. Microsoft Excel 2013 was used to extract the data, and the graphic description was presented. The summative analysis approach was used applying MAXQDA10. Results According to the systematic search, 4815 studies were retrieved after eliminating duplicates and unrelated articles, 49 articles remained to extract EBM facilitators and barriers. Six main aspects attitude toward EBM, external factors, contextual factors, resources, policies and procedures, and research capacity and data availability were summarized as EBM facilitators. The barriers to EBM were similarly summarized as attitude toward EBM, external factors, contextual factors, policies and procedures, limited resources, and research capacity and data availability. The streamgraphs describe that the international attention to the sub-aspects of facilitators and barriers of EBM has been increased since 2011. Conclusions The importance of decision-making regarding complex health systems, especially in terms of resource constraints and uncertainty conditions, requires EBM in the health system as much as possible. Identifying the factors that facilitate the use of evidence, as well as its barriers to management and decision-making in the organization, can play an important role in making systematic and reliable decisions that can be defended by the officials and ultimately lead to greater savings in organization resources and prevent them from being wasted.

Background Scientific evidence is the basis for improving public health; decision-making without sufficient attention to evidence may lead to unpleasant consequences. Despite efforts to create comprehensive guidelines and models for evidence-based decision-making (EBDM), there isn`t any to make the best decisions concerning scarce resources and unlimited needs. The present study aimed to develop a comprehensive applied framework for EBDM. Methods This was a Best-Fit Framework (BFF) synthesis conducted in 2020. A comprehensive systematic review was done via six main databases including PUBMED, Scopus, Web of Science, Science Direct, EMBASE, and ProQuest using related keywords. After the evidence quality appraisal, data were extracted and analyzed via thematic analysis. Results of the thematic analysis and the concepts generated by the research team were then synthesized to achieve the best-fit framework applying Carroll et al. (2013) approach. Results Four thousand six hundred thirteen studies were retrieved, and due to the full-text screening of the studies, 17 final articles were selected for extracting the components and steps of EBDM in Health System Management (HSM). After collecting, synthesizing, and categorizing key information, the framework of EBDM in HSM was developed in the form of four general scopes. These comprised inquiring, inspecting, implementing, and integrating, which included 10 main steps and 47 sub-steps. Conclusions The present framework provided a comprehensive guideline that can be well adapted for implementing EBDM in health systems and related organizations especially in underdeveloped and developing countries where there is usually a lag in updating and applying evidence in their decision-making process. In addition, this framework by providing a complete, well-detailed, and the sequential process can be tested in the organizational decision-making process by developed countries to improve their EBDM cycle.

The health system always consumes a lot of resources; therefore, decision-making based on scientific evidence is necessary in order to optimize costs and prevent waste of resources. The use of evidence in the decision-making process can also improve the quality of management decisions and increase outputs. Given this, we conducted the present study to design a tool in order to assess the status of evidence-based decisionmaking in the field of health management and its psychometrics. Methods: The present study is an applied research of instrument making that was conducted in 2021. The researchers used the Delphi technique and obtained the opinions of 20 experts to validate the instrument. Then, the face and content validity, as well as reliability of the tool were examined. Results: We designed a 47-item questionnaire as a tool for assessing the status of evidence-based decision-making. The results of model validation based on Delphi technique showed that the experts agreed on all components of the model (agreement score was above 7). Also, the questionnaire had a reasonable face and content validity (CVR = 0.841 and CVI = 0.972). Cronbach's alpha of all domains and all designed tools was also estimated to be more than 70%, indicating acceptable instrument reliability. Conclusion: Evidence-based decision-making tool in the field of health management can be useful for managers and officials in this field in order to fully implement the decision-making approach, as well as evidence-based performance.

BACKGROUND: All policies and decisions need evidence examined by scientific methods. Moving toward evidence-based decision-making (EBDM) as a change in organizations, especially health systems (HSs), is inevitable. This study was conducted to identify the factors affecting EBDM in HSs from two approaches and to score them. MATERIALS AND METHODS: A mixed-method study was carried out using the force field analysis regarding the change toward EBDM in HS in 2020. This study included six steps to identify and score the key driving forces (DFs) and restraining forces (RFs) to change toward the EBDM in HS: first, finding forces from literature; second, selecting key DFs and RFs through focus group discussion; third, scoring the first group of DFs and RFs by the experts through electronic forms; fourth, determining key DFs and RFs from the managers’ perspective using qualitative interviews; fifth, scoring the second group of DFs and RFs by the experts; and sixth, comparison between forces resulted from two approaches. RESULTS: According to the literature and experts’ opinions, “relevant, reliable, interpretable, and understandable evidence” and “interaction between researchers and decision-makers” were the strongest forces to change, and “lack of organizational commitment and support” and “lack of relevant/high-quality evidence” were the strongest forces against the change toward EBDM in HS. Further, based on managers’ perspective and scores by the experts, “suitable supervision and control” and “reforming the planning and decision-making system” were the strongest forces to change, and “inadequate knowledge of the managers and staff about the principles and contents of EBDM” and “issues beyond the authorities of managers” were the strongest forces against the change toward EBDM in HS. CONCLUSIONS: Based on the findings, HSs’ managers can focus to reduce RFs and promote DFs for implementing EBDM strategies, so they can provide better services by making more efficient decisions.

Background: Scientific evidence is the basis for improving public health; decision-making without sufficient attention to evidence may lead to unpleasant consequences. Despite efforts to create comprehensive guidelines and models for evidence-based decision-making (EBDM), there isn`t any to make the best decisions concerning scarce resources and unlimited needs. The present study aimed to develop a comprehensive applied framework for EBDM. Methods: This was a meta-synthesis including two phases of a Scoping Review (SR) and a Best-Fit Framework (BFF) synthesis conducted in 2019. A scoping review was done for the comprehensive review of the existing published studies in this area. The six-stage approach of Arksey and O’Malley was applied. Six main databases including PUBMED, Scopus, Web of Science, Science Direct, EMBASE, and ProQuest were searched using related keywords. Data were extracted and analyzed via thematic analysis. Results of the scoping review were then synthesized to achieve the best-fit framework applying Carroll et al (2013) approach. Results: Based on the SR, 3751 studies were found, and due to the full-text screening of the studies, 30 final articles were selected for extracting the components and steps of EBDM in Health System Management (HSM). After collecting, synthesizing, and categorizing key information, the framework of EBDM in HSM was developed in the form of four general scopes. These comprised inquiring, inspecting, implementing, and integrating, which included 10 main steps and 56 sub-steps. Conclusions: The present framework provided a comprehensive guideline that can be well adapted for implementing EBDM in health systems and related organizations especially in underdeveloped and developing countries where there is usually a lag in updating and applying evidence in their decision-making process. In addition, this framework by providing a complete, well-detailed, and sequential process can be tested in the organizational decision-making process by developed countries to improve their EBDM cycle.