Pastula Susan T, Bylsma Lauren C, Rege Saumitra V, Lewis R Jeffrey, Movva Naimisha
EpidStrategies, A Division of ToxStrategies LLC, Rockville, Maryland, USA.
ExxonMobil Biomedical Sciences, Inc., Annandale, New Jersey, USA.
Popul Health Manag. 2025 Feb;28(1):37-49. doi: 10.1089/pop.2024.0138. Epub 2024 Nov 19.
Composite health indicators are valuable tools to assess population health over time and identify areas for intervention. This scoping review (ScR) aimed to map the literature describing comprehensive health-related metrics used to assess community health. The Arksey and O'Malley framework was used to conduct the ScR, using the following steps: identifying the research question, identifying relevant studies, charting the data, collating and reporting results. United States-based studies that developed/utilized a composite health index using geographic information system (GIS) mapping capabilities to assess community health at the county level or more granular were identified through literature searches conducted in PubMed and EMBASE databases. Literature searches identified 5112 articles; of these, 8 studies describing composite health indices were included. The number of indicators used in each index ranged from 4 to 75 (median: 22). Health outcomes, health behaviors, education, and economics were incorporated into most indices. High school graduation rate ( = 6 indices), health insurance status ( = 5), commute time, median household income, unemployment, and obesity rates ( = 4 each) were the most common indicators across indices. All indicators were derived from publicly available data sources, such as the American Community Survey and US Census Bureau. Although a limited number of community health indices were identified in the ScR, the indices included a broad range of indicators covering both health outcomes and factors contributing to health vulnerabilities. The public data sources and GIS integration of the indices provide potential for broad, insightful applications to various contexts across the United States.
综合健康指标是评估一段时间内人群健康状况并确定干预领域的宝贵工具。本范围综述(ScR)旨在梳理描述用于评估社区健康的综合健康相关指标的文献。采用阿克西和奥马利框架进行ScR,步骤如下:确定研究问题、确定相关研究、梳理数据、整理和报告结果。通过在PubMed和EMBASE数据库中进行文献检索,确定了美国境内利用地理信息系统(GIS)绘图功能开发/使用综合健康指数以评估县级或更细化层面社区健康状况的研究。文献检索共找到5112篇文章;其中,纳入了8项描述综合健康指数的研究。每个指数使用的指标数量从4到75不等(中位数:22)。大多数指数纳入了健康结果、健康行为、教育和经济等方面。高中毕业率(=6个指数)、健康保险状况(=5个)、通勤时间、家庭收入中位数、失业率和肥胖率(各=4个)是各指数中最常见的指标。所有指标均来自公开可用的数据源,如美国社区调查和美国人口普查局。尽管在ScR中确定的社区健康指数数量有限,但这些指数包含了广泛的指标,涵盖了健康结果和导致健康脆弱性的因素。这些指数的公共数据源和GIS整合为在美国各地的各种背景下进行广泛、有见地的应用提供了潜力。