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

• Grant number: 12/18414-3
• Support Opportunities: Regular Research Grants - Publications - Scientific article
• Start date: October 01, 2012
• End date: March 31, 2013
• Field of knowledge: Health Sciences - Medicine - Maternal and Child Health
• Principal Investigator: José Guilherme Cecatti
• Grantee: José Guilherme Cecatti
• Host Institution: Faculdade de Ciências Médicas (FCM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

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 cases of severe maternal morbidity/near miss using the World Health Organization criteria. It was a cross-sectional, multicenter study involving 27 hospitals providing care for pregnant women in Brazil. The size of clusters 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 size of the clusters were presented for each variable. Overall, 9,555 cases of severe maternal morbidity (woman admitted with potentially life threatening conditions, near miss 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 of previous studies, and this homogeneity may be considered minor, thus increasing the reliability of these findings. These results may be used to design new cluster trials in maternal and perinatal health and to help calculate sample sizes. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

HADDAD, SAMIRA M.; SOUSA, MARIA H.; CECATTI, JOSE G.; PARPINELLI, MARY A.; COSTA, MARIA L.; SOUZA, JOAO P.; SEV, BRAZILIAN NETWORK SURVEILLANCE. Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study. BMC PREGNANCY AND CHILDBIRTH, v. 12, SEP 21 2012. (12/18414-3)