Journal Article

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

Published: 2021

Abstract:

Objective

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

Design

Cross-sectional study of Demographic and Health Survey (DHS) during 1990–2018.

Setting

74 low- and middle-income countries (LMICs).

Population

Women 15–49 years of age who had live births in the last 3 years.

Methods

Bayesian linear regression analysis was performed and absolute differences were calculated.

Main outcome measure

Population-level CD by countries and sociodemographic characteristics of mothers over time.

Results

CD rates, based on the latest DHS rounds, varied substantially between the study countries, from 1.5% (95% CI 1.1–1.9%) in Madagascar to 58.9% (95% CI 56.0–61.6%) in the Dominican Republic. Of 62 LMICs with at least two surveys, 57 countries showed a rise in CD during 1990–2018, with the greatest increase in Sierra Leone (19.3%). Large variations in CD rates were observed across mother’s wealth, residence, education and age, with a higher rate of CD by the richest and urban mothers. These inequalities have widened in many countries. Stratified analyses suggest greater provisioning of CD by the richest mothers in private facilities and poorest mothers in public facilities.

Conclusions

CD rates varied substantially across geographical locations and over time, irrespective of public or private health facilities. Changes in CD rates continue across wealth, place of residence, education, and age of mother, and are widening in most study countries.

Authors

Mehedi HasanRicardo J. Soares MagalhaesSaifuddin Ahmed

Centre Member

Tahmina Begum

Centre Member

Yaqoot Fatima

Citation

Hasan, M. M., Ahmed, S., Magalhaes, R. S., Begum, T., Fatima, Y., & Mamun, A. A. (2021). Temporal trends in between and within-country inequalities in caesarean delivery in low- and middle-income countries: A Bayesian analysis. BJOG: An International Journal of Obstetrics & Gynaecology. https://doi.org/10.1111/1471-0528.16744