Intraclass correlation coefficients in the Brazilian Network for Surveillance of Severe Maternal Morbidity study
- PMID: 22998520
- PMCID: PMC3570276
- DOI: 10.1186/1471-2393-12-101
Intraclass correlation coefficients in the Brazilian Network for Surveillance of Severe Maternal Morbidity study
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.
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References
-
- Ukoumunne OC, Gulliford MC, Chinn S, Sterne JA, Burney PG. Methods for evaluating area-wide and organisation-based interventions in health and health care: a systematic review. Health Technol Assess. 1999;3(5)):iii-92. - PubMed
-
- Kish L. Survey sampling. John Wiley & Sons, New York; 1965.
-
- McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods. 1996;1:30–46.
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