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Health insurance coverage, neonatal mortality and caesarean section deliveries: an analysis of vital registration data in Colombia
  1. Tanja A J Houweling1,2,
  2. Ivan Arroyave1,3,
  3. Alex Burdorf1,
  4. Mauricio Avendano4,5
  1. 1Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
  2. 2Institute for Global Health—University College London, London, UK
  3. 3Department of Specific Sciences, National School of Public Health, University of Antioquia, Medellin, Antioquia, Colombia
  4. 4Department of Global Health & Social Medicine, King's College London, London, UK
  5. 5Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
  1. Correspondence to Dr Tanja A J Houweling, Department of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, Rotterdam 3000 CA, The Netherlands; a.j.houweling{at}erasmusmc.nl

Abstract

Background Low-income and middle-income countries have introduced different health insurance schemes over the past decades, but whether different schemes are associated with different neonatal outcomes is yet unknown. We examined the association between the health insurance coverage scheme and neonatal mortality in Colombia.

Methods We used Colombian national vital registration data, including all live births (2 506 920) and neonatal deaths (17 712) between 2008 and 2011. We used Poisson regression models to examine the association between health insurance coverage and the neonatal mortality rate (NMR), distinguishing between women insured via the contributory scheme (40% of births, financed through payroll and employer's contributions), government subsidised insurance (47%) and the uninsured (11%).

Results NMR was lower among babies born to mothers in the contributory scheme (6.13/1000) than in the subsidised scheme (7.69/1000) or the uninsured (8.38/1000). Controlling for socioeconomic and demographic factors, NMRs remained higher for those in the subsidised scheme (OR 1.09, 95% CI 1.05 to 1.14) and the uninsured (OR 1.16, 95% CI 1.10 to 1.23) compared to those in the contributory scheme. These differences increased in models that additionally controlled for caesarean section (C-section) delivery. This increase was due to the higher fraction of C-section deliveries among women in the contributory scheme (49%, compared to 34% for the subsidised scheme and 28% for the uninsured).

Conclusions Health insurance through the contributory system is associated with lower neonatal mortality than insurance through the subsidised system or lack of insurance. Universal health insurance may not be sufficient to close the gap in newborn mortality between socioeconomic groups.

  • NEONATAL
  • MORTALITY
  • Health inequalities
  • HEALTH POLICY
  • BIRTH WEIGHT

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