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The Impact of Healthcare Insurance on the Utilisation of Facility-Based Delivery for Childbirth in the Philippines

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  • Hebe N Gouda
  • Andrew Hodge
  • Raoul Bermejo III
  • Willibald Zeck
  • Eliana Jimenez-Soto

Abstract

Objectives: In recent years, the government of the Philippines embarked upon an ambitious Universal Health Care program, underpinned by the rapid scale-up of subsidized insurance coverage for poor and vulnerable populations. With a view of reducing the stubbornly high maternal mortality rates in the country, the program has a strong focus on maternal health services and is supported by a national policy of universal facility-based delivery (FBD). In this study, we examine the impact that recent reforms expanding health insurance coverage have had on FBD. Results: Data from the most recent Philippines 2013 Demographic Health Survey was employed. This study applies quasi-experimental methods using propensity scores along with alternative matching techniques and weighted regression to control for self-selection and investigate the impact of health insurance on the utilization of FBD. Findings: Our findings reveal that the likelihood of FBD for women who are insured is between 5 to 10 percent higher than for those without insurance. The impact of health insurance is more pronounced amongst rural and poor women for whom insurance leads to a 9 to 11 per cent higher likelihood of FBD. Conclusions: We conclude that increasing health insurance coverage is likely to be an effective approach to increase women’s access to FBD. Our findings suggest that when such coverage is subsidized, as it is the case in the Philippines, women from poor and rural populations are likely to benefit the most.

Suggested Citation

  • Hebe N Gouda & Andrew Hodge & Raoul Bermejo III & Willibald Zeck & Eliana Jimenez-Soto, 2016. "The Impact of Healthcare Insurance on the Utilisation of Facility-Based Delivery for Childbirth in the Philippines," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0167268
    DOI: 10.1371/journal.pone.0167268
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    References listed on IDEAS

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    1. Jones, A., 2007. "Applied Econometrics for Health Economists: A Practical Guide," Monographs, Office of Health Economics, number 000262.
    2. Bredenkamp,Caryn & Buisman,Leander Robert, 2015. "Universal health coverage in the Philippines : progress on financial protection goals," Policy Research Working Paper Series 7258, The World Bank.
    3. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    4. Kozhimannil, Katy Backes & Valera, Madeleine R. & Adams, Alyce S. & Ross-Degnan, Dennis, 2009. "The population-level impacts of a national health insurance program and franchise midwife clinics on achievement of prenatal and delivery care standards in the Philippines," Health Policy, Elsevier, vol. 92(1), pages 55-64, September.
    5. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    6. Stephanie L Mayne & Brian K Lee & Amy H Auchincloss, 2015. "Evaluating Propensity Score Methods in a Quasi-Experimental Study of the Impact of Menu-Labeling," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-12, December.
    7. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    8. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    9. Joseph Mensah & Joseph R. Oppong & Christoph M. Schmidt, 2010. "Ghana's national health insurance scheme in the context of the health MDGs: an empirical evaluation using propensity score matching," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 95-106, September.
    10. Stella Quimbo & Jhiedon Florentino & John W Peabody & Riti Shimkhada & Carlo Panelo & Orville Solon, 2008. "Underutilization of Social Insurance among the Poor: Evidence from the Philippines," PLOS ONE, Public Library of Science, vol. 3(10), pages 1-4, October.
    11. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    12. Yi Liao & Stuart Gilmour & Kenji Shibuya, 2016. "Health Insurance Coverage and Hypertension Control in China: Results from the China Health and Nutrition Survey," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-14, March.
    13. Jonathan Quick & Jonathan Jay & Ana Langer, 2014. "Improving Women's Health through Universal Health Coverage," PLOS Medicine, Public Library of Science, vol. 11(1), pages 1-5, January.
    14. Obermann, Konrad & Jowett, Matthew R. & Alcantara, Maria Ofelia O. & Banzon, Eduardo P. & Bodart, Claude, 2006. "Social health insurance in a developing country: The case of the Philippines," Social Science & Medicine, Elsevier, vol. 62(12), pages 3177-3185, June.
    15. Jutting, Johannes P., 2004. "Do Community-based Health Insurance Schemes Improve Poor People's Access to Health Care? Evidence From Rural Senegal," World Development, Elsevier, vol. 32(2), pages 273-288, February.
    16. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    17. Zhongliang Zhou & Zhiying Zhou & Jianmin Gao & Xiaowei Yang & Ju'e Yan & Qinxiang Xue & Gang Chen, 2014. "The Effect of Urban Basic Medical Insurance on Health Service Utilisation in Shaanxi Province, China: A Comparison of Two Schemes," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-12, April.
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    1. Sanni Yaya & Feng Da & Ruoxi Wang & Shangfeng Tang & Bishwajit Ghose, 2019. "Maternal healthcare insurance ownership and service utilisation in Ghana: Analysis of Ghana Demographic and Health Survey," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-13, April.

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