Multilevel analysis of birthplace effect on the proportion of C-Section in Colombia"
(2022) In Colombia medica 52(3). p.1-16- Abstract
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%.... (More)
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.
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- author
- Rodriguez-Lopez, Merida LU ; Correa-Avendaño, Elsa Lorena ; Martinez-Avila, Ana Maria and Merlo, Juan LU
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cesarean Section, Colombia/epidemiology, Cross-Sectional Studies, Female, Humans, Multilevel Analysis, Pregnancy, Prevalence
- in
- Colombia medica
- volume
- 52
- issue
- 3
- article number
- e2044411s
- pages
- 1 - 16
- publisher
- Universidad del valle
- external identifiers
-
- scopus:85128376625
- pmid:35431362
- ISSN
- 0120-8322
- DOI
- 10.25100/cm.v52i3.4411
- language
- English
- LU publication?
- yes
- additional info
- Copyright © 2021 Colombia Medica.
- id
- 97123ba5-9fee-4427-b69e-a3cb91aa70c7
- date added to LUP
- 2022-05-04 22:31:02
- date last changed
- 2024-10-20 07:18:38
@article{97123ba5-9fee-4427-b69e-a3cb91aa70c7, abstract = {{<p>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.</p><p>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.</p><p>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).</p><p>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.</p>}}, author = {{Rodriguez-Lopez, Merida and Correa-Avendaño, Elsa Lorena and Martinez-Avila, Ana Maria and Merlo, Juan}}, issn = {{0120-8322}}, keywords = {{Cesarean Section; Colombia/epidemiology; Cross-Sectional Studies; Female; Humans; Multilevel Analysis; Pregnancy; Prevalence}}, language = {{eng}}, number = {{3}}, pages = {{1--16}}, publisher = {{Universidad del valle}}, series = {{Colombia medica}}, title = {{Multilevel analysis of birthplace effect on the proportion of C-Section in Colombia"}}, url = {{http://dx.doi.org/10.25100/cm.v52i3.4411}}, doi = {{10.25100/cm.v52i3.4411}}, volume = {{52}}, year = {{2022}}, }