Department of Medicine, New York University School of Medicine, New York, NY, USA.
Department of Population Health, New York University School of Medicine, New York, NY, USA.
J Am Med Inform Assoc. 2018 Apr 1;25(4):419-422. doi: 10.1093/jamia/ocx117.
To develop a dataset based on open data sources reflective of community-level social determinants of health (SDH).
We created FACETS (Factors Affecting Communities and Enabling Targeted Services), an architecture that incorporates open data related to SDH into a single dataset mapped at the census-tract level for New York City.
FACETS (https://github.com/mcantor2/FACETS) can be easily used to map individual addresses to their census-tract-level SDH. This dataset facilitates analysis across different determinants that are often not easily accessible.
Wider access to open data from government agencies at the local, state, and national level would facilitate the aggregation and analysis of community-level determinants. Timeliness of updates to federal non-census data sources may limit their usefulness.
FACETS is an important first step in standardizing and compiling SDH-related data in an open architecture that can give context to a patient's condition and enable better decision-making when developing a plan of care.
利用开源数据开发一个反映社区层面健康决定因素（SDH）的数据集。
我们创建了 FACETS（影响社区的因素和实现目标服务的能力），这是一种架构，将与 SDH 相关的开源数据整合到一个针对纽约市的普查区层面的单一数据集中。
FACETS（https://github.com/mcantor2/FACETS）可以方便地将个人地址映射到其普查区层面的 SDH。该数据集便于分析通常难以获取的不同决定因素。
更广泛地获取地方、州和国家各级政府机构的开放数据，将有助于汇总和分析社区层面的决定因素。联邦非普查数据源更新的及时性可能会限制其使用。
FACETS 是在开放架构中标准化和编译与 SDH 相关数据的重要的第一步，该架构可以为患者的病情提供背景，并在制定护理计划时做出更好的决策。
