Rylander Charlotta, Manjavidze Tinatin, Nedberg Ingvild Hersoug, Kerselidze Maia, Anda Erik Eik
Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, 9037, Norway.
Department of Medical Statistics, National Center for Disease Control and Public Health, Tbilisi, Georgia.
Arch Public Health. 2024 Dec 24;82(1):244. doi: 10.1186/s13690-024-01479-y.
The Georgian Birth Registry (GBR) is a comprehensive digital birth registry covering 99.8% of births nationwide. By law, registration in the GBR is mandatory, with data primarily transferred from medical records (MRs) by designated personnel at medical facilities. We aimed to assess the correspondence of the registration of selected variables between GBR and MRs.
We randomly selected 1,044 women who gave birth in 2018. Data were extracted from the GBR on 27 variables related to pregnancy, childbirth, and the newborn and individually linked to the MRs. We specifically compared the agreement of dichotomous, ordinal, and date variables between the GBR and the MRs to assess the consistency of individual registrations.
Of the 27 dichotomous, ordinal, and date variables, 22 displayed more than 95% complete agreement with the information in the MRs. The prevalence of maternal morbidity registered in the MRs was lower than expected, while the proportion of fetuses with transverse lies was higher than expected.
Most antenatal, intrapartum, and newborn information registered in the GBR has satisfactory agreement with the MRs, with error typical for single data entry system. The lower-than-expected prevalence of gestational diabetes, preeclampsia, hypertensive disorders, and postpartum hemorrhage registered in the MRs, as well as the higher-than-expected prevalence of transverse fetal presentation, warrants in-depth investigation to ensure that the quality of care is satisfactory and to further improve registration in both the MRs and GBR. Therefore, our findings indicate that while the agreement between the GBR and MRs is generally high, MRs are sometimes incomplete or incorrect for certain conditions.
格鲁吉亚出生登记处(GBR)是一个全面的数字出生登记系统,覆盖全国99.8%的出生记录。根据法律规定,在GBR进行登记是强制性的,数据主要由医疗机构的指定人员从医疗记录(MRs)中传输。我们旨在评估GBR与MRs中选定变量登记的一致性。
我们随机选择了2018年分娩的1044名妇女。从GBR中提取了与妊娠、分娩和新生儿相关的27个变量的数据,并将其分别与MRs进行关联。我们特别比较了GBR与MRs之间二分变量、有序变量和日期变量的一致性,以评估个体登记的一致性。
在27个二分变量、有序变量和日期变量中,有22个与MRs中的信息显示出超过95%的完全一致性。MRs中登记的孕产妇发病率低于预期,而横位胎儿的比例高于预期。
GBR中登记的大多数产前、产时和新生儿信息与MRs具有令人满意的一致性,这是单一数据录入系统常见的误差。MRs中登记的妊娠期糖尿病、先兆子痫、高血压疾病和产后出血的患病率低于预期,以及横位胎儿的患病率高于预期,需要进行深入调查,以确保护理质量令人满意,并进一步改善MRs和GBR中的登记情况。因此,我们的研究结果表明,虽然GBR与MRs之间的一致性总体较高,但对于某些情况,MRs有时不完整或不正确。