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Do free caesarean section policies increase inequalities in Benin and Mali?

Author

Listed:
  • Marion Ravit

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPD5 - Université Paris Descartes - Paris 5)

  • Martine Audibert

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Valery Ridde

    (Department of Social and Preventive Medicine - CHUM - Centre Hospitalier de l'Université de Montréal - UdeM - Université de Montréal - Montreal School of Public Health, CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPD5 - Université Paris Descartes - Paris 5)

  • Myriam de Loenzien

    (IRD - Institut de Recherche pour le Développement, CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPD5 - Université Paris Descartes - Paris 5)

  • Clémence Schantz

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPD5 - Université Paris Descartes - Paris 5)

  • Alexandre Dumont

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPD5 - Université Paris Descartes - Paris 5)

Abstract

Background: Benin and Mali introduced user fee exemption policies focused on caesarean sections (C-sections) in2005 and 2009, respectively. These policies had a positive impact on access to C-sections and facility based deliveriesamong all women, but the impact on socioeconomic inequality is still highly uncertain. The objective of this study wasto observe whether there was an increase or a decrease in urban/rural and socioeconomic inequalities in access toC-sections and facility based deliveries after the free C-section policy was introduced.Methods: We used data from three consecutive Demographic and Health Surveys (DHS): 2001, 2006 and 2011–2012 inBenin and 2001, 2006 and 2012–13 in Mali. We evaluated trends in inequality in terms of two outcomes: C-sections andfacility based deliveries. Adjusted odds ratios were used to estimate whether the distributions of C-sections and facilitybased deliveries favoured the least advantaged categories (rural, non-educated and poorest women) or the mostadvantaged categories (urban, educated and richest women). Concentration curves were used to observe the degreeof wealth-related inequality in access to C-sections and facility based deliveries.Results: We analysed 47,302 childbirths (23,266 in Benin and 24,036 in Mali). In Benin, we found no significantdifference in access to C-sections between urban and rural women or between educated and non-educated women.However, the richest women had greater access to C-sections than the poorest women. There was no significantchange in these inequalities in terms of access to C-sections and facility based deliveries after introduction of the freeC-section policy.In Mali, we found a reduction in education-related inequalities in access to C-sections after implementation of thepolicy (p-value = 0.043). Inequalities between urban and rural areas had already decreased prior to implementation ofthe policy, but wealth-related inequalities were still present.Conclusions: Urban/rural and socioeconomic inequalities in C-section access did not change substantially after thecountries implemented free C-section policies. User fee exemption is not enough. We recommend switching tomechanisms that combine both a universal approach and targeted action for vulnerable populations to address thisissue and ensure equal health care access for all individuals.

Suggested Citation

  • Marion Ravit & Martine Audibert & Valery Ridde & Myriam de Loenzien & Clémence Schantz & Alexandre Dumont, 2018. "Do free caesarean section policies increase inequalities in Benin and Mali?," Post-Print hal-01811304, HAL.
  • Handle: RePEc:hal:journl:hal-01811304
    DOI: 10.1186/s12939-018-0789-x
    Note: View the original document on HAL open archive server: https://hal.science/hal-01811304v1
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    References listed on IDEAS

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    1. repec:wbk:wbpubs:6896 is not listed on IDEAS
    2. Kellie J. Archer & Stanley Lemeshow, 2006. "Goodness-of-fit test for a logistic regression model fitted using survey sample data," Stata Journal, StataCorp LLC, vol. 6(1), pages 97-105, March.
    3. Valéry Ridde & Seni Kouanda & Aristide Bado & Nicole Bado & Slim Haddad, 2012. "Reducing the Medical Cost of Deliveries in Burkina Faso Is Good for Everyone, Including the Poor," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-8, March.
    4. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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    1. Parmar, Divya & Banerjee, Aneesh, 2019. "How do supply- and demand-side interventions influence equity in healthcare utilisation? Evidence from maternal healthcare in Senegal," Social Science & Medicine, Elsevier, vol. 241(C).

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