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纽约州出生证明数据的验证

Validation of birth certificate data in New York State.

作者信息

Roohan Patrick J, Josberger Raina E, Acar Janice, Dabir Poornima, Feder Harry M, Gagliano Patricia J

机构信息

Bureau of Quality Management and Outcomes Research, Office of Managed Care, New York State Department of Health, Albany, NY 12237, USA.

出版信息

J Community Health. 2003 Oct;28(5):335-46. doi: 10.1023/a:1025492512915.

Abstract

Vital statistics birth certificate data are an important source of information for researchers, policy makers, and state officials to evaluate the quality of care delivered to pregnant women. The purpose of this study was to assess the validity of data elements being reported by the hospitals on the birth certificate record when compared to the medical record. This study used a random sample of birth certificates from two upstate and two downstate counties, in New York State, comprising a total of 100 records per county. The review assessed data elements from seven major categories: prenatal care, maternal medical risk factors, risk factors related to pregnancy, lifestyle risk factors, method of delivery, complications of labor and delivery, and infant information. Sensitivity, specificity, the positive predictive value and the negative predictive value assessed level of agreement between the birth certificate and the medical record. Overall, the birth certificate data reflected high specificity, because most conditions are rare. The sensitivity of the data was more varied, ranging from 0 to 100%, reflecting that if a rare condition was present it often was not documented on the birth certificate. Many of the data elements are reported accurately. However, caution should be used for data elements that are poorly reported.

摘要

生命统计出生证明数据是研究人员、政策制定者和州官员评估为孕妇提供的护理质量的重要信息来源。本研究的目的是评估医院在出生证明记录上报告的数据元素与病历相比的有效性。本研究使用了纽约州北部两个县和南部两个县的出生证明随机样本,每个县共有100份记录。审查评估了七个主要类别的数据元素:产前护理、孕产妇医疗风险因素、与妊娠相关的风险因素、生活方式风险因素、分娩方式、分娩并发症和婴儿信息。敏感性、特异性、阳性预测值和阴性预测值评估了出生证明与病历之间的一致性水平。总体而言,出生证明数据反映出高特异性,因为大多数情况都很罕见。数据的敏感性差异更大,范围从0%到100%,这反映出如果存在罕见情况,出生证明上往往没有记录。许多数据元素报告准确。然而,对于报告不佳的数据元素应谨慎使用。

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