Intracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.

Intracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.
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DOI:
10.1186/1471-2288-14-54
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发表时间:
2014-04-22
影响因子:
4
通讯作者:
Brazilian Multicenter Study on Preterm Birth study group
Brazilian Multicenter Study on Preterm Birth study group
中科院分区:
医学3区
文献类型:
--
作者:
Lajos GJ;Haddad SM;Tedesco RP;Passini R Jr;Dias TZ;Nomura ML;Rheder PM;Sousa MH;Cecatti JG;Brazilian Multicenter Study on Preterm Birth study group

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健康研究中基于集群的研究正在增加。此类研究的一个重要特征是存在簇内相关性,通常通过簇内相关系数 (ICC) 进行量化,表明通过聚类方式解释的数据变异性的比例。本手稿的目的是评估巴西多中心早产研究中研究的变量的 ICC。这是一项针对早产的多中心横断面研究,涉及巴西不同地区的 20 家转诊医院以及一项巢式病例对照研究,以评估自发性早产的相关因素。提供了 250 多个孕产妇和新生儿变量的估计患病率或平均值、95% 置信区间的 ICC、设计效果和平均簇大小。总体而言,该研究纳入了 5296 例病例(4,150 例早产和 1,146 例足月产)。 ICC 范围为 <0.001 至 0.965,中位数为 0.028。对于描述性特征(社会人口统计、产科史和围产期结局),中位 ICC 为 0.014;对于新生儿结局,中位 ICC 为 0.041;对于过程变量(临床管理和分娩),中位 ICC 为 0.102。 78.4% 的变量中 ICC <0.1,约 95% 的变量中 ICC <0.3。大多数 ICC >0.3 出现在文献中明确定义的一些临床管理方面,例如皮质类固醇的使用,表明这些变量的聚类具有同质性。巴西多中心早产研究选择的聚类主要有异质性发现,这些结果可以帮助研究人员估计未来孕产妇和围产期健康研究所需的样本量。
Cluster-based studies in health research are increasing. An important characteristic of such studies is the presence of intracluster correlation, typically quantified by the intracluster correlation coefficient (ICC), that indicate the proportion of data variability that is explained by the way of clustering. The purpose of this manuscript was to evaluate ICC of variables studied in the Brazilian Multicenter Study on Preterm Birth. This was a multicenter cross-sectional study on preterm births involving 20 referral hospitals in different regions of Brazil plus a nested case–control study to assess associated factors with spontaneous preterm births. Estimated prevalence rates or means, ICC with 95% confidence intervals, design effects and mean cluster sizes were presented for more than 250 maternal and newborn variables. Overall, 5296 cases were included in the study (4,150 preterm births and 1,146 term births). ICC ranged from <0.001 to 0.965, with a median of 0.028. For descriptive characteristics (socio-demographic, obstetric history and perinatal outcomes) the median ICC was 0.014, for newborn outcomes the median ICC was 0.041 and for process variables (clinical management and delivery), it was 0.102. ICC was <0.1 in 78.4% of the variables and <0.3 for approximately 95% of them. Most of ICC >0.3 was found in some clinical management aspects well defined in literature such as use of corticosteroids, indicating there was homogeneity in clusters for these variables. Clusters selected for Brazilian Multicenter Study on Preterm Birth had mainly heterogeneous findings and these results can help researchers estimate the required sample size for future studies on maternal and perinatal health.
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作者:
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