Exploring Cesarean Section Delivery Patterns in South India: A Bayesian Multilevel and Geospatial analysis of Population-Based Cross-Sectional Data

In conclusion, this research underscores the complexity of C-section choices and calls for evidence-based policies and interventions that promote equitable access to quality maternal care in South India. Stakeholders must recognize the multifaceted nature of healthcare decisions and work collaboratively to ensure more balanced and effective healthcare practices in the region.

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Publication Details

Journal
BMC Public Health
Published
2024-09-16
DOI
https://doi.org/10.1186/s12889-024-19984-8
Citations
6
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
6.66
Controls
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article

Exploring Cesarean Section Delivery Patterns in South India: A Bayesian Multilevel and Geospatial analysis of Population-Based Cross-Sectional Data

Mayank Singh, Jagriti Gupta, Anuj Kumar Singh
6 citations
BMC Public Health
Global Maternal and Child Health
6.66
article

Exploring Cesarean Section Delivery Patterns in South India: A Bayesian Multilevel and Geospatial analysis of Population-Based Cross-Sectional Data

Mayank Singh, Jagriti Gupta, Anuj Kumar Singh
article en
6 citations

Abstract

In conclusion, this research underscores the complexity of C-section choices and calls for evidence-based policies and interventions that promote equitable access to quality maternal care in South India. Stakeholders must recognize the multifaceted nature of healthcare decisions and work collaboratively to ensure more balanced and effective healthcare practices in the region.

BMC Public HealthVol. 24(1)
Indian Institute of Technology Patna (IN), International Institute for Population Sciences (IN), KLE Academy of Higher Education and Research (IN)
Openalex Percentile: Top 4%
Global Maternal and Child Health
6.66
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