Identification and Prioritization of the Effective Factors on Evidence-Based Decision Making in the Health Policy of Iran

Evidence-based decision making plays an important role in the health system. Decision-making is based on observable results and real information, and it will naturally be easier to achieve the desired output. Therefore, this study aimed to identify and prioritize evidence-based decision making in health policy.

This is a descriptive-analytic study that was carried out in 2019. The population of the study consisted of all experts in the health system of Iran. Twenty people were selected through targeted sampling. The data gathering tool is a pairwise comparison questionnaire. Data were analyzed using Expert Choice Version 11 software.

According to the findings of this study, external factors, data factors and evidence-based models with the highest weight of 0.649 have the highest weight. In addition, in internal factors, the IT factor with the weight of 0.415 have the highest weight. In general, data and evidence-based models and IT and IT have the highest weight and communication and trust respectively of 0.015 and 0.013, respectively, among the lower limitations of the number of factors derived from evidence-based decision-making methods in the field of health management.

The results of this study showed that a total of 10 structures in evidence-based decision making in the health system of Iran. Therefore the managers and policy makers can identify the best evidence and make the best decisions in an evidence-based decision-making process.