Social Determinants of Health Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Department of Social Welfare Management, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
J Prev Med Public Health. 2023 Jul;56(4):327-337. doi: 10.3961/jpmph.23.059. Epub 2023 Jun 26.
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.
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.
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.
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.
考虑到社会决定因素(SDHs)在促进非正规住区居民健康方面的重要性及其多样性、丰富性和广泛性,本研究旨在确定、衡量和优先排列针对伊朗大都市区非正规住区居民的健康促进干预措施的 SDHs。
本研究采用混合方法,于 2019 年至 2020 年分三个阶段进行。通过回顾研究和使用德尔菲法确定 SDHs。为了研究非正规住区居民的 SDHs,使用研究人员制作的问卷进行了横断面分析。使用人工神经网络的多层感知器分析对 SDHs 进行优先排序。
在研究的第一阶段确定了 96 个决定因素,其中 43 个进行了检查,确定了 15 个作为该研究地区非正规住区居民健康促进干预措施的高优先 SDHs。它们包括个人健康素养、营养、职业因素、住房相关因素和获取公共资源。
由于确定和解决 SDHs 可以改善健康公正并减轻住区居民的不良健康状况,因此使用人工智能对这些决定因素进行优先排序将使政策制定者能够通过针对最重要的 SDHs 的干预措施来改善住区居民的健康。