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利用多个信息系统识别临床登记处死亡率数据中的错误类型和原因。

Identifying types and causes of errors in mortality data in a clinical registry using multiple information systems.

作者信息

Koetsier Antonie, Peek Niels, de Keizer Nicolette

机构信息

Dept. of Medical Informatics, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Stud Health Technol Inform. 2012;180:771-5.

PMID:22874296
Abstract

Errors may occur in the registration of in-hospital mortality, making it less reliable as a quality indicator. We assessed the types of errors made in in-hospital mortality registration in the clinical quality registry National Intensive Care Evaluation (NICE) by comparing its mortality data to data from a national insurance claims database. Subsequently, we performed site visits at eleven Intensive Care Units (ICUs) to investigate the number, types and causes of errors made in in-hospital mortality registration. A total of 255 errors were found in the NICE registry. Two different types of software malfunction accounted for almost 80% of the errors. The remaining 20% were five types of manual transcription errors and human failures to record outcome data. Clinical registries should be aware of the possible existence of errors in recorded outcome data and understand their causes. In order to prevent errors, we recommend to thoroughly verify the software that is used in the registration process.

摘要

住院死亡率登记可能会出现错误,使其作为质量指标的可靠性降低。我们通过将国家重症监护评估(NICE)临床质量登记处的死亡率数据与国家保险理赔数据库的数据进行比较,评估了住院死亡率登记中出现的错误类型。随后,我们对11个重症监护病房(ICU)进行了实地考察,以调查住院死亡率登记中错误的数量、类型和原因。在NICE登记处共发现了255处错误。两种不同类型的软件故障占错误的近80%。其余20%是五种手动转录错误和人为未记录结局数据的情况。临床登记处应意识到记录的结局数据可能存在错误,并了解其原因。为了防止错误,我们建议彻底核查登记过程中使用的软件。

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