Callif-Daley F A, Huether C A, Edmonds L D
Department of Biological Sciences, University of Cincinnati, OH 45221, USA.
Public Health Rep. 1995 Mar-Apr;110(2):154-60.
The principal goal in this study was to quantify false positives in the hospital discharge data of the Birth Defects Monitoring Program conducted by the Centers of Disease Control and Prevention. The two hospital data processing agencies which contribute data to the Birth Defects Monitoring Program, the Commission on Professional and Hospital Activities and the McDonnell Douglas Health Information Systems, had respective levels of false positives of 13.2 percent and 8.5 percent, levels which were statistically different from each other. These false positive levels should be considered minimal because these data bases do not include information on sick babies who may be transferred into or out of member hospitals, and who may have their initial diagnoses significantly modified. Potential correlates of false positives were evaluated, including hospital size, diagnostic certainty, race, sex, and insurance source. Two-thirds of all false positives were due to the miscoding of correctly diagnosed anomalies, and another quarter were clearly contradicted in notes easily available before the patients were discharged. The authors hope that this study of false positives will enhance the interpretation of the Birth Defects Monitoring Program data and lead to improved understanding of data collection and processing.
本研究的主要目标是量化疾病控制与预防中心开展的出生缺陷监测项目医院出院数据中的假阳性情况。为出生缺陷监测项目提供数据的两家医院数据处理机构，专业与医院活动委员会以及麦克唐纳·道格拉斯健康信息系统，其各自的假阳性率分别为13.2%和8.5%，这两个水平在统计学上彼此不同。这些假阳性水平应被视为最低限度，因为这些数据库不包括可能转入或转出成员医院、且其初始诊断可能有显著改变的患病婴儿的信息。对假阳性的潜在相关因素进行了评估，包括医院规模、诊断确定性、种族、性别和保险来源。所有假阳性中有三分之二是由于对正确诊断的异常情况进行了错误编码，另有四分之一在患者出院前很容易获取的记录中明显相互矛盾。作者希望这项关于假阳性的研究将加强对出生缺陷监测项目数据的解读，并增进对数据收集和处理的理解。
