了解健康与地点之间的关系:对将数据分解为小区域的方法进行系统审查
Rose Atkins1, Rita Santos2, Maria Panagioti1
1Centre for Primary Care and Health Services Research, University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, UK.
Social science & medicine (1982)
|February 1, 2025
概括
本综述确定了小区域健康数据的空间归因方法. 方法的选择取决于健康状况以及是否需要人口调整以进行准确的小区域健康分析.
科学领域:
- 空间分析是一种空间分析.
- 地理信息科学 地理信息科学
- 公共卫生 公共卫生
背景情况:
- 对研究证据的系统审查,这些证据是关于将汇总数据归因于小区域的方法.
- 包括来自健康科学和地理学的文献.
研究的目的:
- 检查关于空间归因方法的已发表的研究证据的范围,范围和性质.
- 为了比较不同归因方法对健康数据的适用性.
主要方法:
- 搜索了四个健康数据库 (MEDLINE,Embase,PsychINFO,CINAHL) 和一个地理数据库 (GEOBASE).
- 根据预先定义的标准,审查了标题,摘要和全文文章.
- 识别,表格化和评估的健康数据适用性归因方法.
主要成果:
- 在634个标题中,有84篇文章符合入选标准.
- 确定了四种类型的方法:空间插值,二面对称映射,回归和空间微模拟.
- 空间插值和回归方法 (调整人口统计) 在卫生文献中很常见;大对称映射 (不调整人口统计) 在地理学中很常见.
结论:
- 健康数据的最佳空间归属方法取决于具体的健康措施.
- 调整社会人口统计因素的方法对于高度依赖人口统计学的健康状况至关重要.
- 对于均分布的健康状况,其他标准可能指导方法选择.
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