submitted on 2024-02-21, 10:15 and posted on 2024-02-21, 10:15authored byManar E. Abdel-Rahman, Lukman Thalib, Duriya A. Rayis
<h3>Background</h3><p dir="ltr">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.</p><h3>Methods</h3><p dir="ltr">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.</p><h3>Results</h3><p dir="ltr">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.</p><h3>Conclusion</h3><p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: BMC Pregnancy and Childbirth<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s12884-022-04995-3" target="_blank">https://dx.doi.org/10.1186/s12884-022-04995-3</a></p>
Funding
Open Access funding provided by the Qatar National Library.
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.