The social vulnerability metric (SVM) as a new tool for public health.
The social vulnerability metric (SVM) as a new tool for public health.
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DOI：
10.1111/1475-6773.14102
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发表时间：
2023-08
影响因子：
3.4
通讯作者：
Gibbons, Robert D.
中科院分区：
文献类型：
--
作者：
Saulsberry, Loren;Bhargava, Ankur;Zeng, Sharon;Gibbons, Jason B.;Brannan, Cody;Lauderdale, Diane S.;Gibbons, Robert D.
关键词：
推导并验证一种新的健康社会决定因素（SDoH）的生态测量方法，可在邮政编码或县一级计算。最新发布的二级公开数据是从美国国家卫生机构以及州和市公共卫生部门收集的。社会脆弱性指标（SVM）是使用多维项目反应理论从美国邮政编码水平测量（2018年）的调查数据构建的，并使用包括全因死亡率（2016年），COVID-19疫苗接种（2021年）和哮喘急诊室就诊（2018年）在内的结果进行验证。SVM还与现有的疾病控制和预防中心的社会脆弱性指数（SVI）进行了比较，以确定收敛有效性和差异预测有效性。这些数据直接从美国国家卫生机构以及州和市公共卫生部门在线向公众提供的公开文件中收集。SVM评分与全国年龄调整县全因死亡率之间的相关性为r = 0.68。这种相关性证明了SVM的稳健有效性，并且优于SVI，解释方差增加了近四倍（46% vs. 12%）。SVM还与加州州和芝加哥市的邮政编码水平健康结局高度相关（r ≥ 0.60）。支持向量机提供了一个测量工具，改善现有的SDoH综合措施的性能，并具有广泛的适用性，公共卫生，可能有助于指导未来的政策和干预措施。SVM提供了SDoH的单一测量，可以更好地量化与健康结果的关联。
To derive and validate a new ecological measure of the social determinants of health (SDoH), calculable at the zip code or county level. The most recent releases of secondary, publicly available data were collected from national U.S. health agencies as well as state and city public health departments. The Social Vulnerability Metric (SVM) was constructed from U.S. zip‐code level measures (2018) from survey data using multidimensional Item Response Theory and validated using outcomes including all‐cause mortality (2016), COVID‐19 vaccination (2021), and emergency department visits for asthma (2018). The SVM was also compared with the existing Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) to determine convergent validity and differential predictive validity. The data were collected directly from published files available to the public online from national U.S. health agencies as well as state and city public health departments. The correlation between SVM scores and national age‐adjusted county all‐cause mortality was r = 0.68. This correlation demonstrated the SVM's robust validity and outperformed the SVI with an almost four‐fold increase in explained variance (46% vs. 12%). The SVM was also highly correlated (r ≥ 0.60) to zip‐code level health outcomes for the state of California and city of Chicago. The SVM offers a measurement tool improving upon the performance of existing SDoH composite measures and has broad applicability to public health that may help in directing future policies and interventions. The SVM provides a single measure of SDoH that better quantifies associations with health outcomes.
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影响因子：
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通讯作者：
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