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Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3570276/ https://www.ncbi.nlm.nih.gov/pubmed/22998520 http://dx.doi.org/10.1186/1471-2393-12-101 |
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author | Haddad, Samira M Sousa, Maria H Cecatti, Jose G Parpinelli, Mary A Costa, Maria L Souza, Joao P |
author_facet | Haddad, Samira M Sousa, Maria H Cecatti, Jose G Parpinelli, Mary A Costa, Maria L Souza, Joao P |
author_sort | Haddad, Samira M |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3570276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35702762013-02-15 Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study Haddad, Samira M Sousa, Maria H Cecatti, Jose G Parpinelli, Mary A Costa, Maria L Souza, Joao P BMC Pregnancy Childbirth Research Article 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. BioMed Central 2012-09-21 /pmc/articles/PMC3570276/ /pubmed/22998520 http://dx.doi.org/10.1186/1471-2393-12-101 Text en Copyright ©2012 Haddad et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Haddad, Samira M Sousa, Maria H Cecatti, Jose G Parpinelli, Mary A Costa, Maria L Souza, Joao P Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study |
title | Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study |
title_full | Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study |
title_fullStr | Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study |
title_full_unstemmed | Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study |
title_short | Intraclass correlation coefficients in the Brazilian network for surveillance of severe maternal morbidity study |
title_sort | intraclass correlation coefficients in the brazilian network for surveillance of severe maternal morbidity study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3570276/ https://www.ncbi.nlm.nih.gov/pubmed/22998520 http://dx.doi.org/10.1186/1471-2393-12-101 |
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