Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map
Background: Health is a fundamental issue in recent years, highlighting the importance of harmonizing the policies of any sector with health strategies. The present study aims to identify the socio-economic factors affecting health and to provide a cognitive map of the social determinants of health...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hamadan University of Medical Sciences
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422161/ https://www.ncbi.nlm.nih.gov/pubmed/37571937 http://dx.doi.org/10.34172/jrhs.2022.101 |
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author | Salehnia, Nafiseh Assari Arani, Abbas Olyaeemanesh, Alireza Sadeghi Saghdel, Hossein |
author_facet | Salehnia, Nafiseh Assari Arani, Abbas Olyaeemanesh, Alireza Sadeghi Saghdel, Hossein |
author_sort | Salehnia, Nafiseh |
collection | PubMed |
description | Background: Health is a fundamental issue in recent years, highlighting the importance of harmonizing the policies of any sector with health strategies. The present study aims to identify the socio-economic factors affecting health and to provide a cognitive map of the social determinants of health in Iran. Study Design: A retrospective cohort study. Methods: This study follows a developmental process with an exploratory sequential mixed methods approach. First, a meta-synthesis qualitative method determines the most critical health determinants by reviewing 54 studies from 2000 to 2019. Then, the fuzzy cognitive map (FCM) is drawn based on interviews with six experts to derive the causal relationships among the social determinants of population health in Iran. Results: Stage 1 introduces 170 factors as the health determinants, classified into four levels: individual, local, national, and global levels, with 7, 4, 13, and 3 branches, respectively. According to the causal relationships and the out-degree (od) index, the most effective factors are the economic system (18.24), governance and policy-making (17.13), and national policies (16.93). According to the degree of centrality, these factors are the economic system (33.27), health system (30.37), and governance and policy-making (30.15). Conclusion: Considering health as a complex and comprehensive system, the resulting FCM displays that the policies developed in other sectors than health are profoundly affecting population’s health in Iran. Specifically, the comparative analysis of this research shows that policies regarding the economic system and people’s livelihood are more effective than the policies regarding the health system itself on the population’s health in Iran. |
format | Online Article Text |
id | pubmed-10422161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hamadan University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-104221612023-08-13 Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map Salehnia, Nafiseh Assari Arani, Abbas Olyaeemanesh, Alireza Sadeghi Saghdel, Hossein J Res Health Sci Original Article Background: Health is a fundamental issue in recent years, highlighting the importance of harmonizing the policies of any sector with health strategies. The present study aims to identify the socio-economic factors affecting health and to provide a cognitive map of the social determinants of health in Iran. Study Design: A retrospective cohort study. Methods: This study follows a developmental process with an exploratory sequential mixed methods approach. First, a meta-synthesis qualitative method determines the most critical health determinants by reviewing 54 studies from 2000 to 2019. Then, the fuzzy cognitive map (FCM) is drawn based on interviews with six experts to derive the causal relationships among the social determinants of population health in Iran. Results: Stage 1 introduces 170 factors as the health determinants, classified into four levels: individual, local, national, and global levels, with 7, 4, 13, and 3 branches, respectively. According to the causal relationships and the out-degree (od) index, the most effective factors are the economic system (18.24), governance and policy-making (17.13), and national policies (16.93). According to the degree of centrality, these factors are the economic system (33.27), health system (30.37), and governance and policy-making (30.15). Conclusion: Considering health as a complex and comprehensive system, the resulting FCM displays that the policies developed in other sectors than health are profoundly affecting population’s health in Iran. Specifically, the comparative analysis of this research shows that policies regarding the economic system and people’s livelihood are more effective than the policies regarding the health system itself on the population’s health in Iran. Hamadan University of Medical Sciences 2022-12-29 /pmc/articles/PMC10422161/ /pubmed/37571937 http://dx.doi.org/10.34172/jrhs.2022.101 Text en © 2022 The Author(s); Published by Hamadan University of Medical Sciences. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Salehnia, Nafiseh Assari Arani, Abbas Olyaeemanesh, Alireza Sadeghi Saghdel, Hossein Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map |
title | Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map |
title_full | Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map |
title_fullStr | Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map |
title_full_unstemmed | Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map |
title_short | Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map |
title_sort | analysis of casual relationships between social determinants of health in iran: using fuzzy cognitive map |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422161/ https://www.ncbi.nlm.nih.gov/pubmed/37571937 http://dx.doi.org/10.34172/jrhs.2022.101 |
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