التفاصيل البيبلوغرافية
| العنوان: |
Evidence-based practice in traditional persian medicine (TPM): a stakeholder and social network analysis. |
| المؤلفون: |
Abdipour Mehrian, Seyed Reza, Uddin, Shahadat, Ghahramani, Zahra, Moshfeghinia, Reza, Shahabi, Saeed, Haghdoost, Aliakbar, Mesbahi, Golsa, Khodadost, Mahmoud, Hashempur, Mohammad Hashem, Heydari, Mojtaba, Mojahedi, Morteza, Nimrouzi, Majid, Pasalar, Mehdi, Vardanjani, Hossein Molavi, Lankarani, Kamran Bagheri |
| المصدر: |
BMC Complementary Medicine & Therapies; 7/3/2024, Vol. 24 Issue 1, p1-10, 10p |
| مصطلحات موضوعية: |
CROSS-sectional method, SOCIAL network analysis, HEALTH policy, HUMAN beings, STATISTICAL sampling, INTERVIEWING, GOVERNMENT agencies, DESCRIPTIVE statistics, PERSIAN medicine, RESEARCH methodology, EVIDENCE-based medicine, STAKEHOLDER analysis, DATA analysis software |
| مصطلحات جغرافية: |
IRAN |
| مستخلص: |
Background: The utilization of complementary and alternative medicine (CAM) is experiencing a global surge, accompanied by the adoption of national CAM policies in numerous countries. Traditional Persian medicine (TPM) is highly used as CAM in Iran, and the ongoing scientific evaluation of its interventions and the implementation of evidence-based medicine (EBM) encounters various barriers. Therefore, comprehending the characteristics and interactions of stakeholders is pivotal in advancing EBM within TPM policies. In this study, we utilized both classical stakeholder analysis and social network analysis to identify key stakeholders and potential communication patterns, thereby promoting EBM in TPM policy-making. Methods: A cross-sectional nationwide stakeholder analysis was conducted in 2023 using snowball sampling. The interviews were carried out using a customized version of the six building blocks of health. Data were collected through semi-structured interviews. Stakeholders were assessed based on five factors (power, interest, influence, position, and competency). The connections and structure of the network were analyzed using degree, betweenness, closeness centrality, and modularity index to detect clusters of smaller networks. Results: Among twenty-three identified stakeholders, the Ministry of Health and Medical Education (MOHME) and the Public were the most powerful and influential. The Iranian Academy of Medical Sciences was the most competent stakeholder. Social network analysis revealed a low density of connections among stakeholders. Pharmaceutical companies were identified as key connectors in the network, while the Public, supreme governmental bodies, and guilds acted as gatekeepers or brokers. The MOHME and Maraji were found to be high-ranking stakeholders based on four different centrality measures. Conclusion: This study identifies powerful stakeholders in the network and emphasizes the need to engage uninterested yet significant stakeholders. Recommendations include improving competence through education, strengthening international relations, and fostering stronger relationships. Engaging key connectors and gatekeepers is essential for bridging gaps in the network. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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