Title:
Literature Survey on Factors Influencing the Cesarean Section (CS) Delivery in Bangladesh: Evidence from Global
Authors:
Rahman, Rifat
Place:
Amsterdam, The Netherlands
Publisher:
KIT - Royal Tropical Institute [etc.]
Year:
2023
PAGE:
iv, 41
Language:
En
Subject:
Maternal Health – Lessons Learned
Keywords:
Caesarean section, supply-side factors, demand-side factors, women’s preference, Bangladesh.
Abstract:
Background: Currently, 45% of all deliveries in Bangladesh underwent through Caesarean section (CS). This rate exceeds the WHO-recommended rate of 10-15%. Thus, understanding the factors and process for taking the decision of CS remains an important issue to break down the high CS rates. Objective: To study the determinants of CS delivery and evidenced-based interventions globally, and in Bangladesh. Methodology: This study surveyed CS-related literature from 2013-2023 using Google Scholar, PubMed, and VU library search engines. Cross-referencing, snowballing, and specific search terms were used to include peer-reviewed articles, reports, and websites of organizations like the World Health Organization (WHO). Inclusion and exclusion criteria were established to ensure relevant information. Findings: The demand-side factors like maternal levels of education, family wealth status, and mass media access were likely to result in CS deliveries, whereas the supply-side factors, like private hospitals, were found to be a dominant factor. Multi-country studies revealed that the CS rates were higher among wealthier mothers (18.4%) compared to poorest quintile (3.7%). Women who received ANC (4+) showed 2.5 times more chances of undergoing CS. Many studies revealed that most of the time decisions for CS deliveries take place without confirmed medical symptoms or indications. Conclusions: Factors driven by both the supply and demand side need consideration for further study. Evidence-based interventions like nurse-led programs and routine clinical audits may contribute to reducing the burden of CS deliveries in countries like Bangladesh.
Organization:
KIT - Royal Tropical Institute , VU - Vrije Universiteit Amsterdam
Institute:
KIT (Royal Tropical Institute)
Country:
Bangladesh
Region:
South Asia
Training:
Master of Science in Public Health
Category:
Research
Right:
@ 2023 Rahman
Document type:
Thesis/dissertation
File:
DyrdKvvzE3_20231122130609735.pdf