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1.
Int J Equity Health ; 22(1): 62, 2023 04 06.
Artículo en Inglés | MEDLINE | ID: mdl-37024883

RESUMEN

BACKGROUND: One of the major goals of health systems is providing a financing strategy without inequality; this has a significant impact on people's access to healthcare. The present study aimed to investigate the inequality in households' financial contribution (HFC) to health expenditure both before and after the implementation of the Iranian Health Transformation Plan (HTP) in 2014. METHODS: This study is a secondary analysis of two waves of a national survey conducted in Iran. The data were collected from the Households Income and Expenditure Survey in 2013 and 2015. The research sample included 76,195 Iranian households. The inequality in households' financial contributions to the health system was assessed using the Gini coefficient, and the concentration index (CI). In addition, by using econometric modeling, the relationship between the implementation of the HTP and inequality in HFC was studied. The households' financial contribution included healthcare and health insurance prepayments. RESULTS: The Gini coefficient values were 0.67 and 0.65 in 2013 and 2015, respectively, indicating a medium degree of inequality in HFC in both years. The CI values were 0.54 and 0.56 in 2013 and 2015, respectively, suggesting that inequalities in HFC were in favor of higher income quintiles in the years before and after the implementation of the HTP. Regression analysis showed that households with a female head, with an unemployed head, or with a head having income without a job were contributing more to financing health expenditure. The presence of a household member over the age of 65 was associated with a higher level of HFC. The implementation of the HTP had a negative relationship with the HFC. CONCLUSION: The HTP, aiming to address inequality in the financing system, did not achieve the intended goal as expected. The implementation of the HTP neglected certain factors at the household level, such as the presence of family members older than the age of 65, a female household head, and unemployment. This resulted in a failure to reduce the inequality of the HFC. We suggest that, in the future, policymakers take into account factors at the household level to reduce inequality in the HFC.


Asunto(s)
Financiación de la Atención de la Salud , Renta , Humanos , Femenino , Irán , Composición Familiar , Atención a la Salud , Gastos en Salud
2.
Value Health Reg Issues ; 21: 133-140, 2020 May.
Artículo en Inglés | MEDLINE | ID: mdl-31786404

RESUMEN

OBJECTIVES: The present systematic review aimed to assess the healthcare financing system by studying the relevant indicators in low- and middle-income countries (LMICs). The focus of this research was on the entire healthcare system without considering any specific healthcare service or population group. This article explains the conditions of equity in people's payments for healthcare services in LMICs and focuses on the strengths and weaknesses of successful or failed healthcare systems. METHODS: A systematic search was conducted in the existing database that included the data up to December 2016. The quantity of equity was estimated using relevant indicators and comparing the results with indicators' specific values. Narrative synthesis was then performed for the purpose of reporting the results. RESULTS: A total of 17 articles from 14 regions, including Palestine, China, China (Heilongjiang), China (Gansu), Ghana, Hungary, Iran, Tunisia, Tanzania, Malaysia, Malawi, Zimbabwe, Uganda, and Chile met the inclusion criteria. The findings indicated that the insurance system (individual and social) is the most equitable method of financing, whereas direct payment is the most unfair method. Nevertheless, many countries still struggle with various payment methods, and people use direct payments. CONCLUSIONS: Results revealed that several factors can affect a country's failure to establish equity in financing the health system. These factors include an increase in direct payments by people to reduce the government's share, failure to cover insurance for the entire population (and especially the poor), and problems in identifying people from low-income groups and setting rules for exempting them from taxes.


Asunto(s)
Atención a la Salud/economía , Países en Desarrollo , Costos de la Atención en Salud/normas , Equidad en Salud/normas , Atención a la Salud/tendencias , Costos de la Atención en Salud/tendencias , Equidad en Salud/tendencias , Humanos , Renta , Cobertura Universal del Seguro de Salud/economía
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