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Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study

机译:巴西网络中用于监测严重孕产妇发病率研究的类内相关系数

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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 morbidityear 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 Conclusions These results may be used to design new cluster trials in maternal and perinatal health and to help calculate sample sizes.
机译:背景研究的目的是在巴西《重度孕产妇死亡监测网络》中评估与个人特征,结构,结果和过程有关的变量的类内相关系数(ICC),该研究旨在通过World World识别严重的孕产妇发病/近遗失病例卫生组织标准。方法这是一项横断面,多中心研究,涉及27家巴西孕妇医院。描述了簇大小和主要抽样单位的平均大小。为每个变量提供了估计的患病率,ICC,它们各自的95%置信区间,设计效果和平均簇大小。结果总体而言,该研究共纳入9,555例严重的母亲发病率(被录入有可能危及生命的疾病,未遂事件或死亡的妇女)。 ICC介于结论之间。这些结果可用于设计有关孕产妇和围产期健康的新试验,并有助于计算样本量。

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