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. 2016 Apr;123(5):745-53.
doi: 10.1111/1471-0528.13592. Epub 2015 Aug 24.

Association between rates of caesarean section and maternal and neonatal mortality in the 21st century: a worldwide population-based ecological study with longitudinal data

Affiliations

Association between rates of caesarean section and maternal and neonatal mortality in the 21st century: a worldwide population-based ecological study with longitudinal data

J Ye et al. BJOG. 2016 Apr.

Abstract

Objective: Caesarean section was initially performed to save the lives of the mother and/or her baby. Caesarean section rates have risen substantially worldwide over the past decades. In this study, we set out to compile all available caesarean section rates worldwide at the country level, and to identify the appropriate caesarean section rate at the population level associated with the minimal maternal and neonatal mortality.

Design: Ecological study using longitudinal data.

Setting: Worldwide country-level data.

Population: A total of 159 countries were included in the analyses, representing 98.0% of global live births (2005).

Methods: Nationally representative caesarean section rates from 2000 to 2012 were compiled. We assessed the relationship between caesarean section rates and mortality outcomes, adjusting for socio-economic development by means of human development index (HDI) using fractional polynomial regression models.

Main outcome measures: Maternal mortality ratio and neonatal mortality rate.

Results: Most countries have experienced increases in caesarean section rate during the study period. In the unadjusted analysis, there was a negative association between caesarean section rates and mortality outcomes for low caesarean section rates, especially among the least developed countries. After adjusting for HDI, this effect was much smaller and was only observed below a caesarean section rate of 5-10%. No important association between the caesarean section rate and maternal and neonatal mortality was observed when the caesarean section rate exceeded 10%.

Conclusions: Although caesarean section is an effective intervention to save maternal and infant lives, based on the available ecological evidence, caesarean section rates higher than around 10% at the population level are not associated with decreases in maternal and neonatal mortality rates, and thus may not be necessary to achieve the lowest maternal and neonatal mortality.

Tweetable abstract: The caesarean section rate of around 10% may be the optimal rate to achieve the lowest mortality.

Keywords: Caesarean section rate; maternal mortality; neonatal mortality.

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Figures

Figure 1
Figure 1
Relationship between caesarean section rates and maternal mortality and neonatal mortality, with and without adjusting for human development index (HDI), for least developed countries. Scatter plots and fractional polynomial regression model (estimates and 95% confidence intervals): blue curves, unadjusted models; red curves, adjusted models; solid curves, estimates; dashed curves, 95% CIs. (HDI standardised, mean HDI used to fit the curves of the adjusted model).
Figure 2
Figure 2
Relationship between caesarean section rates and maternal mortality and neonatal mortality, with and without adjusting for human development index (HDI), for less developed countries. Scatter plots and fractional polynomial regression model (estimates and 95% confidence interval): blue curves, unadjusted models; red curves, adjusted models; solid curves, estimates; dashed curves, 95% CI. (HDI standardised, mean HDI used to fit the curves of the adjusted model).
Figure 3
Figure 3
Relationship between caesarean section rates and maternal mortality and neonatal mortality, with and without adjusting for human development index (HDI), for more developed countries. Scatter plots and fractional polynomial regression model (estimates and 95% confidence interval): blue curves, unadjusted models; red curves, adjusted models; solid curves, estimates; dashed curves, 95% CI. (HDI standardised, mean HDI used to fit the curves of the adjusted model).

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