利用人口健康数据集推进孕产妇健康研究
Dana Beck1,2,3, Stephanie Hall4,5, Deena Kelly Costa6,7
1National Clinician Scholars Program, University of Michigan, Ann Arbor, MI, USA. dbeck@sonnet.ucla.edu.
Maternal and child health journal
|June 9, 2023
概括
美国的孕产妇死亡率数据缺乏对孕妇和产后个体的充分代表性. 增强人口健康数据集对于理解和解决孕产妇健康差异至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 数据科学数据科学数据科学
背景情况:
- 孕产妇死亡率仍然是一个关键的公共卫生问题在美国,持续的差异加剧了COVID-19大流行.
- 健康的社会决定因素 (SDoH) 显著影响孕产妇的发病率和死亡率,但它们的影响在现有的人口健康数据中未得到充分研究.
- 迫切需要利用和改进人口健康数据集,以更好地了解孕产妇健康风险,并为干预提供信息.
研究的目的:
- 审查现有的人口健康数据集,以确定它们在孕产妇健康研究中的有用性.
- 确定有关怀孕和产后个体的数据表示的差距.
- 提出可行的建议,以改善人口健康数据集,以更好地为孕产妇健康研究和政策提供信息.
主要方法:
- 对人口健康数据集的样本进行了审查.
- 分析的重点是这些数据集中的孕妇和产后个体的代表性.
- 制定了对数据集修改和数据收集改进的建议.
主要成果:
- 现有的人口健康数据集表明,孕妇和产后个体的代表性不足.
- 在与孕产妇健康相关的多个数据集中发现了关键数据缺口.
- 提供了具体的建议,以加强数据收集和改善母体健康研究数据集的实用性.
结论:
- 在人口健康数据中过量采样孕妇和产后患者对于及时评估政策和计划至关重要.
- 在人口健康数据集中,分娩后的个体必须明确地被纳入并可识别.
- 数据收集应涵盖所有妊娠结果,包括堕胎,死产和流产,以提供对母亲健康的全面了解.
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