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

被引:12
|
作者
Haddad, Samira M. [1 ]
Sousa, Maria H. [2 ]
Cecatti, Jose G. [1 ,2 ]
Parpinelli, Mary A. [1 ]
Costa, Maria L. [1 ]
Souza, Joao P. [3 ]
机构
[1] Univ Estadual Campinas, Dept Obstet & Gynecol, BR-13083881 Campinas, SP, Brazil
[2] Campinas Ctr Studies Reprod Hlth CEMICAMP, Campinas, SP, Brazil
[3] UNDP UNFPA WHO World Bank Special Programme Res D, World Hlth Org, Dept Reprod Hlth & Res, Geneva, Switzerland
来源
基金
巴西圣保罗研究基金会;
关键词
Intraclass correlation coefficient; Maternal near miss; Severe maternal morbidity; Maternal and perinatal health; CLUSTER RANDOMIZED-TRIALS; DESIGN;
D O I
10.1186/1471-2393-12-101
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
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.
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页数:10
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