Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC (Drs Federspiel, Wheeler, and Hughes).
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina, Durham, NC (Drs Kucirka, Mallampati, Menard, and Quist-Nelson).
Am J Obstet Gynecol MFM. 2023 Jan;5(1):100787. doi: 10.1016/j.ajogmf.2022.100787. Epub 2022 Oct 27.
Unacceptably high rates of severe maternal morbidity and mortality in the United States and stark racial disparities in outcomes are generating efforts to improve both research capacity and quality improvement in obstetrical care. Comprehensive, high-quality datasets on which to build these efforts are crucial to the success of obstetrical quality improvement efforts. However, existing data sources in obstetrics have notable limitations. Other medical and surgical specialties have addressed similar challenges through the creation of national registries, and we argue that obstetrics must take the same approach to improve outcomes. In this article, we summarized the current availability and limitations of large-scale data in obstetrics research and compared the data with registries developed in other specialties. Moreover, we have outlined the guiding principles for the development of a national obstetrics registry and have proposed future directions.
美国严重产妇发病率和死亡率高得令人无法接受,而且结果存在明显的种族差异,这促使人们努力提高产科护理的研究能力和质量改进。建立这些努力的综合、高质量数据集对于产科质量改进工作的成功至关重要。然而,产科现有的数据源存在明显的局限性。其他医学和外科专业已经通过创建国家登记处来解决类似的挑战,我们认为产科必须采取同样的方法来改善结果。在本文中,我们总结了目前在产科研究中大规模数据的可用性和局限性,并将这些数据与其他专业开发的登记处进行了比较。此外,我们还概述了制定国家产科登记处的指导原则,并提出了未来的方向。