Staff Members - Benha University
Correlation of Caesarean Section Rates to Maternal and Neonatal Mortality in the Eastern Mediterranean Region; A Population-Based Ecological Study
• 2022
Publication Information
Authors
Bismeen Jadoon1, Ramez Mahaini1, Karima Gholbzouri1, Maha El-Adawy1, Mona Ahmed Elawady2, and Tamer Mahmoud Assar3
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publication.type
Local
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Abstract
Objective: To assess the relationship of CSR with MMR and NMR of the Eastern Mediterranean Region, (EMR) with the adjustment of health and socioeconomic variables.
Study design: An ecological study
Patients and methods: It was conducted using data obtained from the World Health Organization, Global Health Observatory database, 2015, United Nations Inter-Agency Group for Child Mortality Estimation (UN-IGME), and the United Nations Maternal Mortality Estimation Inter-Agency Group (UN-MMEIG) 2015). Mean ± standard deviation, range, median, and interquartile range were used for quantitative data. We used a multivariate logistic regression model to explore the effect of (a) antenatal clinic visits (ANC %), (b) skilled birth attendance (SBA) rate (% of deliveries attended by SBA), (c) total health expenditure (THE) per capita, and (d) female literacy rate (FLR%) on the studied relationship. Spline linear regression was used to find the most predictive variables for MMR and NMR. Statistical significance was set at p
Study design: An ecological study
Patients and methods: It was conducted using data obtained from the World Health Organization, Global Health Observatory database, 2015, United Nations Inter-Agency Group for Child Mortality Estimation (UN-IGME), and the United Nations Maternal Mortality Estimation Inter-Agency Group (UN-MMEIG) 2015). Mean ± standard deviation, range, median, and interquartile range were used for quantitative data. We used a multivariate logistic regression model to explore the effect of (a) antenatal clinic visits (ANC %), (b) skilled birth attendance (SBA) rate (% of deliveries attended by SBA), (c) total health expenditure (THE) per capita, and (d) female literacy rate (FLR%) on the studied relationship. Spline linear regression was used to find the most predictive variables for MMR and NMR. Statistical significance was set at p