Temporal trends in between and within‐country inequalities in caesarean delivery in low‐ and middle‐income countries: a Bayesian analysis

Hasan, Md. Mehedi; Ahmed, Saifuddin; Magalhaes, R.S.; Begum, Tahmina; Fatima, Yaqoot; Mamun, Abdullah Al

doi:10.1111/1471-0528.16744

Cited by 1 publication

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“…Generally, higher rates of caesarean deliveries are recorded in urban areas and lower rates in rural areas [5]. Recent studies have shown that the higher rate of caesarean delivery among urban dwellers is largely due to the higher socioeconomic status of women living in urban areas compared to those in rural areas [5,[15][16][17]. This is because women in rural communities are mostly poor and thus the least likely to receive adequate healthcare, including access to caesarean deliveries [2].…”

Section: Introductionmentioning

confidence: 99%

Rural–urban disparities in caesarean deliveries in sub-Saharan Africa: a multivariate non-linear decomposition modelling of Demographic and Health Survey data

Aboagye

Seidu

Okyere

et al. 2022

BMC Pregnancy Childbirth

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Introduction Globally, the rate of caesarean deliveries increased from approximately 16.0 million in 2000 to 29.7 million in 2015. In this study, we decomposed the rural–urban disparities in caesarean deliveries in sub-Saharan Africa. Methods Data for the study were extracted from the most recent Demographic and Health Surveys of twenty-eight countries in sub-Saharan Africa. We included 160,502 women who had delivered in health facilities within the five years preceding the survey. A multivariate non-linear decomposition model was employed to decompose the rural–urban disparities in caesarean deliveries. The results were presented using coefficients and percentages. Results The pooled prevalence of caesarean deliveries in the 28 countries considered in the study was 6.04% (95% CI = 5.21–6.88). Caesarean deliveries' prevalence was highest in Namibia (16.05%; 95% CI = 14.06–18.04) and lowest in Chad (1.32%; 95% CI = 0.91–1.73). For rural-urban disparities in caesarean delivery, the pooled prevalence of caesarean delivery was higher in urban areas (10.37%; 95% CI = 8.99–11.75) than rural areas (3.78%; 95% CI = 3.17-4.39) across the 28 countries. Approximately 81% of the rural–urban disparities in caesarean deliveries were attributable to the differences in child and maternal characteristics. Hence, if the child and maternal characteristics were levelled, more than half of the rural–urban inequality in caesarean deliveries would be reduced. Wealth index (39.2%), antenatal care attendance (13.4%), parity (12.8%), mother’s educational level (3.5%), and health insurance subscription (3.1%) explained approximately 72% of the rural–urban disparities in caesarean deliveries. Conclusion This study shows significant rural–urban disparities in caesarean deliveries, with the disparities being attributable to the differences in child and maternal characteristics: wealth index, parity, antenatal care attendance, mother’s educational level, and health insurance subscription. Policymakers in the included countries could focus and work on improving the socioeconomic status of rural-dwelling women as well as encouraging antenatal care attendance, women's education, health insurance subscription, and family planning, particularly in rural areas.

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Section: Introductionmentioning

confidence: 99%

Rural–urban disparities in caesarean deliveries in sub-Saharan Africa: a multivariate non-linear decomposition modelling of Demographic and Health Survey data

Aboagye

Seidu

Okyere

et al. 2022

BMC Pregnancy Childbirth

View full text Add to dashboard Cite

show abstract

Temporal trends in between and within‐country inequalities in caesarean delivery in low‐ and middle‐income countries: a Bayesian analysis

Abstract: Objective To provide updated information about between-country variations, temporal trends and changes in inequalities within countries in caesarean delivery (CD) rates.

Cited by 1 publication

References 35 publications

Rural–urban disparities in caesarean deliveries in sub-Saharan Africa: a multivariate non-linear decomposition modelling of Demographic and Health Survey data

Rural–urban disparities in caesarean deliveries in sub-Saharan Africa: a multivariate non-linear decomposition modelling of Demographic and Health Survey data

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