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Original Article
- Identifying, Measuring, and Ranking Social Determinants of Health for Health Promotion Interventions Targeting Informal Settlement Residents
- Farhad Nosrati Nejad, Mohammad Reza Ghamari, Seyed Hossein Mohaqeqi Kamal, Seyed Saeed Tabatabaee
- J Prev Med Public Health. 2023;56(4):327-337. Published online June 26, 2023
- DOI: https://doi.org/10.3961/jpmph.23.059
- 1,483 View
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Abstract
PDF - Objectives
Considering the importance of social determinants of health (SDHs) in promoting the health of residents of informal settlements and their diversity, abundance, and breadth, this study aimed to identify, measure, and rank SDHs for health promotion interventions targeting informal settlement residents in a metropolitan area in Iran.
Methods
Using a hybrid method, this study was conducted in 3 phases from 2019 to 2020. SDHs were identified by reviewing studies and using the Delphi method. To examine the SDHs among informal settlement residents, a cross-sectional analysis was conducted using researcher-made questionnaires. Multilayer perceptron analysis using an artificial neural network was used to rank the SDHs by priority.
Results
Of the 96 determinants identified in the first phase of the study, 43 were examined, and 15 were identified as high-priority SDHs for use in health-promotion interventions for informal settlement residents in the study area. They included individual health literacy, nutrition, occupational factors, housing-related factors, and access to public resources.
Conclusions
Since identifying and addressing SDHs could improve health justice and mitigate the poor health status of settlement residents, ranking these determinants by priority using artificial intelligence will enable policymakers to improve the health of settlement residents through interventions targeting the most important SDHs. -
SummaryScoping Review
- The Most Important Social Determinants of Slum Dwellers’ Health: A Scoping Review
- Farhad Nosrati Nejad, Mohammad Reza Ghamari, Seyed Hossein Mohaqeqi Kamal, Seyed Saeed Tabatabaee, Raheleh Ganjali
- J Prev Med Public Health. 2021;54(4):265-274. Published online July 8, 2021
- DOI: https://doi.org/10.3961/jpmph.21.073
- 4,592 View
- 220 Download
- 4 Crossref
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Abstract
PDF
- Objectives
Given the importance of social determinants of health in promoting the health of slum residents, this study was conducted with the aim of identifying the main dimensions and components of these determinants.
Methods
This scoping review study was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive search was performed of PubMed, ProQuest, Scopus, and Web of Science for articles conducted from 2010 to the end of 2019. Studies were selected based on inclusion criteria, with a special focus on studies dealing with the social determinants of physical and mental health or illness.
Results
Thirty-three articles were selected to extract information on the social determinants of health. After reviewing the articles, 7 main dimensions (housing, socioeconomic status of the family, nutrition, neighborhood characteristics, social support and social capital, occupational factors, and health behaviors) and 87 components were extracted as social determinants of health among slum dwellers.
Conclusions
This framework could be used by planners, managers, and policy-makers when making decisions affecting the health of these settlements’ residents due to the common characteristics of slums around the world, especially in developing countries. -
Summary
Citations
Citations to this article as recorded by
- Deprivation and Its Association with Child Health and Nutrition in the Greater Kampala Metropolitan Area of Uganda
Rornald Muhumuza Kananura, Peter Waiswa, Ronald Wasswa, Ties Boerma, Cauane Blumenberg, Abdoulaye Maiga
Journal of Urban Health.2024;[Epub] CrossRef - “For my safety and wellbeing, I always travel to seek health care in a distant facility”—the role of place and stigma in HIV testing decisions among GBMSM – BSGH 002
Edem Yaw Zigah, Gamji Rabiu Abu-Ba'are, Osman Wumpini Shamrock, Henry Delali Dakpui, Amos Apreku, Donte T. Boyd, LaRon E. Nelson, Kwasi Torpey
Health & Place.2023; 83: 103076. CrossRef - Identifying, Measuring, and Ranking Social Determinants of Health for Health Promotion Interventions Targeting Informal Settlement Residents
Farhad Nosrati Nejad, Mohammad Reza Ghamari, Seyed Hossein Mohaqeqi Kamal, Seyed Saeed Tabatabaee
Journal of Preventive Medicine and Public Health.2023; 56(4): 327. CrossRef - Do Community-based Livelihood Interventions Affect Sexual and Reproductive Health and Rights of Young People in Slum Areas of Uganda: a Difference-in-difference with Kernel Propensity Score Matching Analysis
Andre M. N. Renzaho, Joseph K. Kamara, Daniel Doh, Paul Bukuluki, Rashidul A. Mahumud, Moses Galukande
Journal of Urban Health.2022; 99(1): 164. CrossRef
Original Articles- Relationship between Percutaneous Transluminal Coronary Angioplasty Volume and Associated Immediate Outcome.
- Young Ho Khang, Yong Ik Kim, Chang Yup Kim, Young Sung Lee, Sunmean Kim, Jin Seok Lee, Byung Hee Oh
- Korean J Prev Med. 2001;34(1):9-20.
- 1,898 View
- 23 Download
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Abstract
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- OBJECTIVES
To explore the relationship between Percutaneous Transluminal Coronary Angioplasty (PTCA) volume and the associated immediate outcome. METHODS: A total of 1,379 PTCAs were performed in 25 hospitals in Korea between October 1 and December 31 in 1997. Data from 1,317 PTCAs (95.5%) were collected through medical record abstraction. Inter-observer reliability of the data was examined using the Kappa statistic on a subsample of 110 PTCA procedures from five hospitals. Intra-observer reliability of the data was also examined. PTCA success and immediate adverse outcomes were selected as the outcome variables. A successful PTCA was defined as a case that shows less than 50% diameter stenosis and more than 20% reduction of diameter stenosis. Immediate adverse outcomes included deaths during the same hospitalization, emergency coronary artery bypass graft (CABG) within 24 hours after PTCA, and acute myocardial infarction within 24 hours after PTCA. The numbers of PTCAs performed in 1997 per hospital were used as the volume variables. RESULTS: Without adjusting for patient risk factors that may affect outcomes, procedures at high volume hospitals (200 cases per year) had a greater success rate (P=0.001) than low volume hospitals. There was a marginally significant difference (P=0.070) in major adverse outcome rates between high and low volume hospitals. After adjusting for risk factors, there were significant differences in procedural failure and major adverse outcome rates between high and low volume hospitals. CONCLUSIONS: After adjusting for patient clinical risk factors, the hospital volume of PTCA was associated with immediate outcomes. It is recommended that a PTCA volume per year be established in order to improve the immediate outcome of this procedure in Korea. -
Summary
- Physician Utilization and its Determinants in Rural and Urban Slun Areas.
- Jin Hee Lee, Kee Ho Ko, Yong Sik Kim, Jung Ae Rhee
- Korean J Prev Med. 1988;21(2):404-418.
- 1,796 View
- 19 Download
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Abstract
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- The household survey was performed in a urban slum and a rural Chonnam areas to measure the level of illness and medical care utilization and to find the determinants of physician utilization. The data revealed that age-adjusted prevalence rates of acute and chronic diseases were much the same in both areas ranged between 10.0 to 11.3%. But medical care utilization was more frequent in urban slum than in rural area. The facility of the first medical contact was also different. Some personal and disease related variables including disease severity and activity restricted day were significantly, but somewhat differently by area, associated with physician utilization pattern. When applying Anderson model, the medical need factors explained 42.2 and 40.4% of physician utilization in urban slum and in rural areas respectively, while the enabling factors explained 18.0 and 12.2% and the predisposing factors explained 17.1 and 8.9% correspondingly.
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