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Caesarean section in Sudan: findings from nationwide household surveys on rates, trends, and geographic and sociodemographic variability

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submitted on 2024-02-21, 10:15 and posted on 2024-02-21, 10:15 authored by Manar E. Abdel-Rahman, Lukman Thalib, Duriya A. Rayis

Background

Medically unjustifiable caesarean section (CS) deliveries have been rising rapidly in many developed countries over the last three decades. While many developing countries show rates beyond optimal levels, few poorer countries appear to have sub-optimal obstetric care in relation to essential surgeries. The objective of this study is to document the rates of CS delivery, its time trend, and geographic and sociodemographic variability in Sudan.

Methods

We utilized a number of Multiple Indicator Cluster Surveys (MICS) conducted in 2014, 2010, and 2006 to quantify CS rates per 1000 live births. We also documented absolute changes in rates over three-time points and variation in CS rates across geographic regions and areas of residence.

Results

Over a decade, CS rates in Sudan increased steadily from 4.3% in 2006 to 6.7% in 2010 and 9.1% in 2014. During this period, CS rates varied considerably across regions showing higher rates in the Northern region (7–25%) and lower rates in Darfur (2–3%). Urban areas experienced rapidly increasing rates (6–14%), while rural areas showed negligible changes to absolute CS rates over time (5–7%). We also found geographic regions, maternal age, maternal education, receiving antenatal care, and birth order of the child were important determinants of CS in Sudan.

Conclusion

Sudan may be facing a double burden of problems associated with surgical interventions for childbirth. While the wealthier parts of Sudan are experiencing a rapid surge in CS, some poor parts of rural Sudan may not be getting the essential surgical intervention for birth when mandated. Urgent improvement to obstetric care and the development of appropriate public health interventions that focus on regional disparities are warranted.

Other Information

Published in: BMC Pregnancy and Childbirth
License: https://creativecommons.org/licenses/by/4.0
See article on publisher's website: https://dx.doi.org/10.1186/s12884-022-04995-3

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Springer Nature

Publication Year

  • 2022

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • Qatar University Health - QU
  • College of Health Sciences - QU HEALTH

Methodology

We utilized a number of Multiple Indicator Cluster Surveys (MICS) conducted in 2014, 2010, and 2006 to quantify CS rates per 1000 live births. We also documented absolute changes in rates over three-time points and variation in CS rates across geographic regions and areas of residence.

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