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巴西严重孕产妇发病率监测网络研究中的组内相关系数。

Intraclass correlation coefficients in the Brazilian Network for Surveillance of Severe Maternal Morbidity study.

机构信息

Department of Obstetrics & Gynecology, University of Campinas, Campinas, Brazil.

出版信息

BMC Pregnancy Childbirth. 2012 Sep 21;12:101. doi: 10.1186/1471-2393-12-101.

Abstract

BACKGROUND

The purpose of the study was to evaluate intraclass correlation coefficients (ICC) of variables concerning personal characteristics, structure, outcome and process in the Brazilian Network for Surveillance of Severe Maternal Morbidity study conducted to identify severe maternal morbidity/near miss cases using the World Health Organization criteria.

METHOD

It was a cross-sectional, multicenter study involving 27 hospitals providing care for pregnant women in Brazil. Cluster size and the mean size of the primary sampling unit were described. Estimated prevalence rates, ICC, their respective 95% confidence intervals, the design effect and the mean cluster size were presented for each variable.

RESULTS

Overall, 9,555 cases of severe maternal morbidity (woman admitted with potentially life-threatening conditions, near miss events or death) were included in the study. ICC ranged from < 0.001 to 0.508, with a median of 0.035. ICC was < 0.1 for approximately 75% of the variables. For process-related variables, median ICC was 0.09, with 0.021 for those related to outcome. These findings confirm data from previous studies. Homogeneity may be considered minor, thus increasing reliability of these findings.

CONCLUSIONS

These results may be used to design new cluster trials in maternal and perinatal health and to help calculate sample sizes.

摘要

背景

本研究旨在评估巴西严重孕产妇发病率/接近发病率监测网络研究中与个人特征、结构、结局和过程相关变量的组内相关系数(ICC),该研究采用世界卫生组织标准来识别严重孕产妇发病率/接近发病率病例。

方法

这是一项涉及巴西 27 家为孕妇提供护理的医院的横断面、多中心研究。描述了聚类大小和主要抽样单位的平均大小。对每个变量呈现了估计的患病率、ICC、各自的 95%置信区间、设计效果和平均聚类大小。

结果

研究共纳入了 9555 例严重孕产妇发病率病例(因潜在危及生命的情况、接近发病率事件或死亡而入院的妇女)。ICC 范围从<0.001 到 0.508,中位数为 0.035。大约 75%的变量的 ICC<0.1。对于与过程相关的变量,中位数 ICC 为 0.09,与结局相关的变量为 0.021。这些发现证实了之前研究的数据。同质性可被认为较小,从而增加了这些发现的可靠性。

结论

这些结果可用于设计新的孕产妇和围产儿健康的聚类试验,并帮助计算样本量。

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