The free caesareans policy in low-income settings: An interrupted time series analysis in Mali (2003-2012)

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Abstract

Introduction: Several countries have instituted fee exemptions for caesareans to reduce maternal and newborn mortality. Objectives: To evaluate the effect of fee exemptions for caesareans on population caesarean rates taking into account different levels of accessibility. Methods: The observation period was from January 2003 to May 2012 in one Region and covered 11.7 million person-years. Exemption fees for caesareans were adopted on June 26, 2005. Data were obtained from a registration system implemented in 2003 that tracks all obstetrical emergencies and interventions including caesareans. The pre-intervention period was 30 months and the post-intervention period was 83 months. We used an interrupted time series to evaluate the trend before and after the policy adoption and the overall tendency. Findings: During the study period, the caesarean rate increased from 0.25 to 1.5% for the entire population. For women living in cities with district hospitals that provided caesareans, the rate increased from 1.7% before the policy was enforced to 5.7% 83 months later. No significant change in trends was observed among women living in villages with a healthcare centre or those in villages with no healthcare facility. For the latter, the caesarean rate increased from 0.4 to 1%. Conclusions: After nine years of implementation policy in Mali, the caesarean rate achieved in cities with a district hospital reached the full beneficial effect of this measure, whereas for women living elsewhere this policy did not increase the caesarean rate to a level that could contribute effectively to reduce their risk of maternal death. Only universal access to this essential intervention could reduce the inequities and increase the effectiveness of this policy. © 2014 Fournier et al.

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Fournier, P., Dumont, A., Tourigny, C., Philibert, A., Coulibaly, A., & Traoré, M. (2014). The free caesareans policy in low-income settings: An interrupted time series analysis in Mali (2003-2012). PLoS ONE, 9(8). https://doi.org/10.1371/journal.pone.0105130

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