Journal of Preventive Medicine and Public Health

  • 제56권4호
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  • Pages.327-337
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  • 2023
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  • 1975-8375(pISSN)
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  • 2233-4521(eISSN)
대한예방의학회 (The Korean Society for Preventive Medicine)
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Identifying, Measuring, and Ranking Social Determinants of Health for Health Promotion Interventions Targeting Informal Settlement Residents

  • Farhad Nosrati Nejad (Social Determinants of Health Research Center, University of Social Welfare and Rehabilitation Sciences) ;
  • Mohammad Reza Ghamari (Department of Social Welfare Management, University of Social Welfare and Rehabilitation Sciences) ;
  • Seyed Hossein Mohaqeqi Kamal (Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences) ;
  • Seyed Saeed Tabatabaee (Social Determinants of Health Research Center, Mashhad University of Medical Sciences)
  • 투고 : 2023.02.05
  • 심사 : 2023.05.24
  • 발행 : 2023.07.31
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초록

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.

키워드

과제정보

This study is part of the Ph.D. dissertation of Mohammad Reza Ghamari, approved in 2019 by the University of Social Welfare and Rehabilitation Sciences in Tehran with the code IR.USWR.REC.1398.165.

참고문헌

  1. Ezeh A, Oyebode O, Satterthwaite D, Chen YF, Ndugwa R, Sartori J, et al. The history, geography, and sociology of slums and the health problems of people who live in slums. Lancet 2017;389(10068):547-558. https://doi.org/10.1016/S0140-6736(16)31650-6
  2. Amirfakhriyan M, Rahnama MR, Aqajani H. Priority of health needs of informal settlements in Mashhad city based on multiple criteria spatial decision of supporting system. Geogr Plan Space 2012;2(6):17-37 (Persian).
  3. Owusu-Ansah FE, Tagbor H, Togbe MA. Access to health in city slum dwellers: the case of Sodom and Gomorrah in Accra, Ghana. Afr J Prim Health Care Fam Med 2016;8(1):e1-e7. https://doi.org/10.4102/phcfm.v8i1.822
  4. Ompad DC, Galea S, Caiaffa WT, Vlahov D. Social determinants of the health of urban populations: methodologic considerations. J Urban Health 2007;84(3 Suppl):i42-i53. https://doi.org/10.1007/s11524-007-9168-4
  5. Corburn J, Hildebrand C. Slum sanitation and the social determinants of women's health in Nairobi, Kenya. J Environ Public Health 2015;2015:209505.
  6. Gulis G, Mulumba JA, Juma O, Kakosova B. Health status of people of slums in Nairobi, Kenya. Environ Res 2004;96(2):219-227. https://doi.org/10.1016/j.envres.2004.01.016
  7. Unger A. Children's health in slum settings. Arch Dis Child 2013;98(10):799-805. https://doi.org/10.1136/archdischild-2011-301621
  8. Alami A. Equity in health from social determinants of health's point of view. J Res Health 2011;1(1):7-9 (Persian).
  9. Holcik J. Killing inequity: final report of the commission on social determinants of health. Cas Lek Cesk 2009;148(1):4-9 (Czech).
  10. World Health Organization. A conceptual framework for action on the social determinants of health; 2010 [cited 2021 Jul 1]. Available from: https://apps.who.int/iris/handle/10665/44489.
  11. Pawar AB, Mohan PV, Bansal RK. Social determinants, suboptimal health behavior, and morbidity in urban slum population: an Indian perspective. J Urban Health 2008;85(4):607-618. https://doi.org/10.1007/s11524-008-9261-3
  12. Ingram M, Schachter KA, Sabo SJ, Reinschmidt KM, Gomez S, De Zapien JG, et al. A community health worker intervention to address the social determinants of health through policy change. J Prim Prev 2014;35(2):119-123. https://doi.org/10.1007/s10935-013-0335-y
  13. Corburn J, Riley L. Slum health: from the cell to the street. California: University of California Press; 2016, p. 18.
  14. Nejad FN, Ghamari MR, Mohaqeqi Kamal SH, Tabatabaee SS, Ganjali R. The most important social determinants of slum dwellers' health: a scoping review. J Prev Med Public Health 2021;54(4):265-274. https://doi.org/10.3961/jpmph.21.073
  15. Lawshe CH. A quantitative approach to content validity. Pers Psychol 1975;28(4):563-575.
  16. Omar RA. Classification of brain tumors using the multilayer perceptron artificial neural network. Iraqi J Phys 2018;16(36):190-198. https://doi.org/10.30723/ijp.v16i36.43
  17. Lee CW, Park JA. Assessment of HIV/AIDS-related health performance using an artificial neural network. Inf Manag 2001;38(4):231-238. https://doi.org/10.1016/S0378-7206(00)00068-9
  18. Aslam MA, Xue C, Liu M, Wang K, Cui D. Classification and prediction of gastric cancer from saliva diagnosis using artificial neural network. Eng Lett 2021;29(1):2.
  19. Kalantary S, Pourbabaki R, Jahani A, Sadeghi Yarandi M, Samiei S, Jahani R, et al. Development of a decision support system tool to predict the pulmonary function using artificial neural network approach. Concurr Comput Pract Exp 2021;33(16):e6258.
  20. Ghazaly NM, Abdel-Fattah MA, Abd El-Aziz AA. Novel coronavirus forecasting model using nonlinear autoregressive artificial neural network. Int J Adv Sci Technol 2020;29(5):19.
  21. Harz HH, Rafi AO, Hijazi MO, Abu-Naser SS. Artificial neural network for predicting diabetes using JNN. Int J Acad Eng Res 2020;4(10):14-22.
  22. Rahman MA, Muniyandi RC. An enhancement in cancer classification accuracy using a two-step feature selection method based on artificial neural networks with 15 neurons. Symmetry 2020;12(2):271.
  23. Subbaraman R, Nolan L, Shitole T, Sawant K, Shitole S, Sood K, et al. The psychological toll of slum living in Mumbai, India: a mixed methods study. Soc Sci Med 2014;119:155-169. https://doi.org/10.1016/j.socscimed.2014.08.021
  24. Nekoei-Moghadam M, Heidari N, Amiresmaeili M, Heidarijamebozorgi M. Identifying the health problems of slum residents using social determinants of health: Kerman, Iran. Int J Health Plann Manage 2019;34(2):e1179-e1187. https://doi.org/10.1002/hpm.2755
  25. Lumagbas LB, Coleman HL, Bunders J, Pariente A, Belonje A, de Cock Buning T. Non-communicable diseases in Indian slums: re-framing the Social Determinants of Health. Glob Health Action 2018;11(1):1438840.
  26. Weimann A, Oni T. A systematised review of the health impact of urban informal settlements and implications for upgrading interventions in South Africa, a rapidly urbanising middle-income country. Int J Environ Res Public Health 2019;16(19):3608.
  27. Silva M, Loureiro A, Cardoso G. Social determinants of mental health: a review of the evidence. Eur J Psychiatry 2016;30(4):259-292.
  28. Steenkamp L, Venter D, Walsh C, Dana P. Socio-economic and demographic factors related to HIV status in urban informal settlements in the Eastern Cape, South Africa. Afr J AIDS Res 2014;13(3):271-279. https://doi.org/10.2989/16085906.2014.952651
  29. Parmar VB, Rupani MP, Trivedi AV. Social determinants of diabetes and hypertension in an urban slum of Gujarat, Western India: a cross-sectional study. Online J Health Allied Sci 2019;18(1):1.
  30. Gruebner O, Khan MM, Lautenbach S, Muller D, Kramer A, Lakes T, et al. Mental health in the slums of Dhaka - a geoepidemiological study. BMC Public Health 2012;12:177.
  31. Ajlouni MT. Social determinants of health in selected slum areas in Jordan: challenges and policy directions. Int J Health Plann Manage 2016;31(1):113-125. https://doi.org/10.1002/hpm.2267
  32. Agarwal S, Srivastava A. Social determinants of children's health in urban areas in India. J Health Care Poor Underserved 2009;20(4 Suppl):68-89. https://doi.org/10.1353/hpu.0.0232
  33. Mondal R, Sarke RC, Banik PC. Prevalence and determinants of behavioral risk factors of non-communicable diseases among a selected slum population in Bangladesh. Chron Dis J 2019;7(3):170-174.
  34. Latif MB, Irin A, Ferdaus J. Socio-economic and health status of slum dwellers of the Kalyanpur slum in Dhaka city. Bangladesh J Sci Res 2016;29(1):73-83. https://doi.org/10.3329/bjsr.v29i1.29760
  35. Lilford RJ, Oyebode O, Satterthwaite D, Melendez-Torres GJ, Chen YF, Mberu B, et al. Improving the health and welfare of people who live in slums. Lancet 2017;389(10068):559-570. https://doi.org/10.1016/S0140-6736(16)31848-7