Multilevel analysis of birthplace effect on the proportion of C-Section in Colombia”
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad del Valle
2021
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| _version_ | 1876476783709126656 |
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| author | Merida Rodriguez-Lopez |
| author_facet | Merida Rodriguez-Lopez |
| contents | Multilevel analysis of birthplace effect on the proportion of C-Section in Colombia” Merida Rodriguez-Lopez Elsa Lorena Correa-Avendaño Ana Maria Martinez-Avila Juan Merlo Medicina risk factors Caesarean section multilevel analysis healthcare disparities contextual effects of health disparities Objectives: To determine the general contextual effect of the department in the variation of Cesarean section in Colombia in 2016, and their individual and contextual related factors. Methods: Cross-sectional study based on a birth cohort. We used the birth certificate database from January 1 to December 31, 2016. Three multilevel logistic models were constructed. Pregnant women were set at the first level and department at the second level. We fitted a null multilevel model followed by two multiple models, including individual and individual and department variables, respectively. Results: The overall prevalence of C-section was 45.5% (95% CI: 45.4-45.6), ranged from 5 to 76%. The variance partition coefficient was 15%. Individual factors did not explain the general contextual effect. However, the region to which these departments belong explained 71% of the variance. The Caribbean region was positively associated with C-section compared to the Andean region (OR:3.88, 95% CI: 2.65-5.67). Conclusions: Multilevel analysis of individual heterogeneity and discriminatory accuracy showed that the department plays an important role in the variation of C-sections in Colombia. Our results suggest that the proportional universalism approach should be applied to reduce the proportion of C-Section, focusing on departments with the highest risk and on the Caribbean and Insular region. 2021 artículo científico 0120-8322 https://www.redalyc.org/articulo.oa?id=28370069005 https://www.redalyc.org/journal/283/28370069005/ https://www.redalyc.org/journal/283/28370069005/html/ https://www.redalyc.org/journal/283/28370069005/28370069005.epub https://www.redalyc.org/journal/283/28370069005/movil 10.25100/cm.v52i3.4411 en http://www.redalyc.org/revista.oa?id=283 Colombia Médica application/pdf Universidad del Valle Colombia Médica (Colombia) Num.3 Vol.52 |
| format | Artículo científico |
| id | redalyc_28370069005 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad del Valle |
| spellingShingle | Multilevel analysis of birthplace effect on the proportion of C-Section in Colombia” Merida Rodriguez-Lopez Medicina risk factors Caesarean section multilevel analysis healthcare disparities contextual effects of health disparities Multilevel analysis of birthplace effect on the proportion of C-Section in Colombia” Merida Rodriguez-Lopez Elsa Lorena Correa-Avendaño Ana Maria Martinez-Avila Juan Merlo Medicina risk factors Caesarean section multilevel analysis healthcare disparities contextual effects of health disparities Objectives: To determine the general contextual effect of the department in the variation of Cesarean section in Colombia in 2016, and their individual and contextual related factors. Methods: Cross-sectional study based on a birth cohort. We used the birth certificate database from January 1 to December 31, 2016. Three multilevel logistic models were constructed. Pregnant women were set at the first level and department at the second level. We fitted a null multilevel model followed by two multiple models, including individual and individual and department variables, respectively. Results: The overall prevalence of C-section was 45.5% (95% CI: 45.4-45.6), ranged from 5 to 76%. The variance partition coefficient was 15%. Individual factors did not explain the general contextual effect. However, the region to which these departments belong explained 71% of the variance. The Caribbean region was positively associated with C-section compared to the Andean region (OR:3.88, 95% CI: 2.65-5.67). Conclusions: Multilevel analysis of individual heterogeneity and discriminatory accuracy showed that the department plays an important role in the variation of C-sections in Colombia. Our results suggest that the proportional universalism approach should be applied to reduce the proportion of C-Section, focusing on departments with the highest risk and on the Caribbean and Insular region. 2021 artículo científico 0120-8322 https://www.redalyc.org/articulo.oa?id=28370069005 https://www.redalyc.org/journal/283/28370069005/ https://www.redalyc.org/journal/283/28370069005/html/ https://www.redalyc.org/journal/283/28370069005/28370069005.epub https://www.redalyc.org/journal/283/28370069005/movil 10.25100/cm.v52i3.4411 en http://www.redalyc.org/revista.oa?id=283 Colombia Médica application/pdf Universidad del Valle Colombia Médica (Colombia) Num.3 Vol.52 |
| title | Multilevel analysis of birthplace effect on the proportion of C-Section in Colombia” |
| topic | Medicina risk factors Caesarean section multilevel analysis healthcare disparities contextual effects of health disparities |
| url | https://www.redalyc.org/articulo.oa?id=28370069005 https://www.redalyc.org/journal/283/28370069005/ https://www.redalyc.org/journal/283/28370069005/html/ https://www.redalyc.org/journal/283/28370069005/28370069005.epub https://www.redalyc.org/journal/283/28370069005/movil |