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. 2018 Jul 2;13(7):e0199876.
doi: 10.1371/journal.pone.0199876. eCollection 2018.

Welfare effects of health insurance in Mexico: The case of Seguro Popular de Salud

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Welfare effects of health insurance in Mexico: The case of Seguro Popular de Salud

Rocío García-Díaz et al. PLoS One. .

Abstract

This study contributes with original empirical evidence on the distributional and welfare effects of one of the most important health policies implemented by the Mexican government in the last decade, the Seguro Popular de Salud (SPS). We analyze the effect of SPS on households' welfare using a decomposable index that considers insured and uninsured households' response to out-of-pocket (OOP) payments using both social welfare weights and inequality aversion. The disaggregation of the welfare index allows us to explore the heterogeneity of the SPS impact on households' welfare. We applied propensity score matching to reduce the self-selection bias of being SPS insured. Overall results suggest non-conclusive results of the impact of SPS on households' welfare. When we disaggregated the welfare index by different sub-population groups, our results suggest that households' beneficiaries of SPS with older adults or living in larger cities are better protected against OOP health care payments than their uninsured counterparts. However, no effect was found among SPS-insured households living in rural and smaller cities, which is a result that could be attributed to limited access to health resources in these regions. Scaling up health insurance coverage is a necessary but not sufficient condition to ensure the protection of SPS coverage against financial risks among the poor.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Health payments dominance curves for all population.
A. Second degree comparison. B. Third degree comparison. Note: Estimations made with the Income and Expenditure National Survey 2010 from Mexico. Matching process was performed using all variables in Table 1 and using single nearest neighborhood algorithm including: caliper = 0.001, non-replacement and common support.
Fig 2
Fig 2. Health payments dominance curves according to socio-demographic characteristics.
A. Households with older adults and without children. B. Households with children and without older adults. C. Households with older adults and with children. Note: Expressed in US$ and per women 15–49 years of age (at constant prices of 2011). **Includes women without any type of health insurance and those who reported being affiliated to the Seguro Popular.
Fig 3
Fig 3. Health payments dominance curves according to household’s geographic location.
A. Households living in large citiesa. B. Households living in small citiesb. C. Households living in rural citiesc. Note: Estimations made with the Income and Expenditure National Survey 2010 from Mexico. aCities with more than 100,000 inhab. bCities between 2,500 and 14,999 inhab. cCities with less than 2,500 inhab. Matching process was performed using all variables in Table 1 and using single nearest neighborhood algorithm including: caliper = 0.001, non-replacement and common support.

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