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Rev. méd. Chile ; 146(6): 737-744, jun. 2018. tab
Artigo em Espanhol | LILACS | ID: biblio-961454

RESUMO

Background: People need a financial protection system to face the high costs of health care. Aim: To compare the financial protection between households affiliated to the Chilean public health financing system (FONASA) or to a private health financing system (ISAPRE). To describe the evolution of protection at the national level between 2007 and 2012. Material and Methods: As proposed by the World Bank, impact indicators to measure the equity and efficiency of the insurance systems were generated. Namely, average out-of-pocket expenses by insurance and average out-of-pocket spending as a percentage of expenditure. Also, the evolution of out-of-pocket spending by quintiles and Gini Coefficient were measured as measure of equity. To determine these, Family Budget Surveys for 2007 and 2012 were used. Results: Household out-of-pocket spending increased by 14.12%. When expressed as a percentage of total expenditure, it grew from 5.6% to 6.2%. Household Gini coefficient and per capita out-of-pocket spending decreased and the ratio between the highest and lowest quintile out-of-pocket increased at both analysis levels. Pocket expense in absolute values or expressed as a percentage of total expenses was higher among persons insured in private systems than those affiliated to the public financing service. Conclusions: Out-of-pocket spending increased for all income groups and people insured in the public system had a lower absolute and relative spending than those insured in private systems.


Assuntos
Humanos , Gastos em Saúde/estatística & dados numéricos , Financiamento da Assistência à Saúde , Financiamento Governamental/economia , Financiamento Pessoal/economia , Seguro Saúde/economia , Valores de Referência , Fatores Socioeconômicos , Fatores de Tempo , Algoritmos , Chile , Características da Família , Financiamento Governamental/estatística & dados numéricos , Financiamento Pessoal/estatística & dados numéricos , Renda/estatística & dados numéricos , Seguro Saúde/estatística & dados numéricos
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