From Hull-House Maps and Papers to Geographic Information System (GIS) Applications: A Systematic Review for Utilization of GIS in a Social Work Grand Challenge of Closing the Health Gap.

IF 1.7 4区 社会学 Q1 SOCIAL WORK
Kenan Sualp, Asli Cennet Yalim, Denise Gammonley
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Abstract

Dynamic tools and advanced techniques, including Geographic Information System (GIS), have been developed to help close the health gap, a social work grand challenge. Unfortunately, these tools are underutilized in the field of social work. To address this gap, a systematic review of 53 studies was conducted, revealing the use of GIS methodologies such as spatial analysis, data visualization, spatiotemporal analysis, and spatial proximity analysis. Using these GIS methodologies, studies aimed to address a wide range of issues including health risk factors, environmental impacts on mental health, health disparities, and access to services. Five key themes emerged: environmental impact on health, GIS and community-based participatory research, risk factors and determinants of health, health disparities, and access to health and social services. GIS applications can help map health disparities, identify underserved areas for targeted interventions, analyze the impact of environmental factors on health, and facilitate community engagement through visual data representation. Future research should focus on exploring advanced GIS methodologies, such as predictive modeling and machine learning, to enhance healthcare disparity analysis and optimize resource allocation. Integrating advanced methodologies will deepen understanding of health disparities and improve prediction accuracy for timely interventions in underserved areas.

从船体地图和文件到地理信息系统(GIS)应用:GIS在缩小健康差距的社会工作重大挑战中的应用的系统回顾。
开发了动态工具和先进技术,包括地理信息系统(GIS),以帮助缩小健康差距,这是社会工作的一个重大挑战。不幸的是,这些工具在社会工作领域没有得到充分利用。为了解决这一差距,对53项研究进行了系统回顾,揭示了GIS方法的使用,如空间分析、数据可视化、时空分析和空间接近分析。利用这些地理信息系统方法进行的研究旨在解决一系列广泛的问题,包括健康风险因素、环境对心理健康的影响、健康差异和获得服务的机会。出现了五个关键主题:环境对健康的影响、地理信息系统和基于社区的参与性研究、健康的风险因素和决定因素、健康差异以及获得保健和社会服务的机会。地理信息系统的应用可以帮助绘制卫生差距图,确定服务不足的地区进行有针对性的干预,分析环境因素对健康的影响,并通过可视化数据表示促进社区参与。未来的研究应重点探索先进的GIS方法,如预测建模和机器学习,以加强医疗保健差距分析和优化资源配置。综合先进的方法将加深对卫生差距的了解,并提高预测的准确性,以便在服务不足的地区及时采取干预措施。
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来源期刊
Health & Social Work
Health & Social Work SOCIAL WORK-
CiteScore
1.90
自引率
6.70%
发文量
30
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