4.6 Article

Hospital discharge data can be used for monitoring procedures and intensive care related to severe maternal morbidity

期刊

JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 64, 期 9, 页码 1014-1022

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jclinepi.2010.11.015

关键词

Severe maternal morbidity; Hospital discharge data; Validity; Sensitivity; Positive predictive value; Medical records

资金

  1. IReSP (French Research Institute of Public Health)
  2. French Ministry of Research

向作者/读者索取更多资源

Objective: To estimate the accuracy and reliability of the reporting of diagnoses and procedures related to severe acute maternal morbidity in French hospital discharge data. Study Design and Setting: The study, conducted in four French tertiary teaching hospitals, covered the years 2006 and 2007 and 30,607 deliveries. We identified severe maternal morbid events-eclampsia, pulmonary embolism, procedures related to postpartum hemorrhages, and intensive care-in administrative hospital discharge data and medical records and compared their recording. Information from medical records was the gold standard. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value of the hospital discharge data for these events were calculated. False positives and false negatives were examined to identify the reasons for misrecorded information. Results: The PPV of the hospital discharge data was 20% for eclampsia. For procedures related to postpartum hemorrhages, the PPVs were high, but sensitivities were lower; however, 95% of recording errors could be corrected. All indicators for intensive care exceeded 98%. Conclusion: Intensive care and procedures seem reliably reported in the hospital administrative database, which, therefore, can be used to monitor them. Using these data for monitoring diagnoses will require a greater investment by clinicians in the accuracy of their reporting. (C) 2011 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据