- Measuring and decomposing socioeconomic inequality in catastrophic healthcare expenditures in Iran
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Satar Rezaei, Mohammad Hajizadeh
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J Prev Med Public Health. 2019;52(4):214-223. Published online June 14, 2019
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DOI: https://doi.org/10.3961/jpmph.19.046
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 Abstract
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- Objectives
Equity in financial protection against healthcare expenditures is one the primary functions of health systems worldwide. This study aimed to quantify socioeconomic inequality in facing catastrophic healthcare expenditures (CHE) and to identify the main factors contributing to socioeconomic inequality in CHE in Iran.
Methods
A total of 37 860 households were drawn from the Households Income and Expenditure Survey, conducted by the Statistical Center of Iran in 2017. The prevalence of CHE was measured using a cut-off of spending at least 40% of the capacity to pay on healthcare services. The concentration curve and concentration index (C) were used to illustrate and measure the extent of socioeconomic inequality in CHE among Iranian households. The C was decomposed to identify the main factors explaining the observed socioeconomic inequality in CHE in Iran.
Results
The prevalence of CHE among Iranian households in 2017 was 5.26% (95% confidence interval [CI], 5.04 to 5.49). The value of C was -0.17 (95% CI, -0.19 to -0.13), suggesting that CHE was mainly concentrated among socioeconomically disadvantaged households in Iran. The decomposition analysis highlighted the household wealth index as explaining 71.7% of the concentration of CHE among the poor in Iran.
Conclusions
This study revealed that CHE is disproportionately concentrated among poor households in Iran. Health policies to reduce socioeconomic inequality in facing CHE in Iran should focus on socioeconomically disadvantaged households.
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Summary
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Citations
Citations to this article as recorded by 
- What Explains Socioeconomic Inequality in Health-related Quality of Life in Iran? A Blinder-Oaxaca Decomposition
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Satar Rezaei, Mohammad Hajizadeh, Yahya Salimi, Ghobad Moradi, Bijan Nouri
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J Prev Med Public Health. 2018;51(5):219-226. Published online August 7, 2018
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DOI: https://doi.org/10.3961/jpmph.18.012
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Abstract
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- Objectives
This study aimed to explain the health-related quality of life (HRQoL) gap between the poorest and the wealthiest quintiles in the capitals of Kermanshah and Kurdistan Provinces (Kermanshah and Sanandaj), in western Iran.
Methods
This was a cross-sectional study conducted among 1772 adults. Data on socio-demographic characteristics, socioeconomic status (SES), lifestyle factors, body mass index, and HRQoL of participants were collected using a self-administered questionnaire. The slope and relative indices of inequality (SII and RII, respectively) were employed to examine socioeconomic inequality in poor HRQoL. Blinder-Oaxaca (BO) decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of poor HRQoL between the wealthiest and the poorest groups.
Results
The overall crude and age-adjusted prevalence of poor HRQoL among adults was 32.0 and 41.8%, respectively. The SII and RII indicated that poor HRQoL was mainly concentrated among individuals with lower SES. The absolute difference (%) in the prevalence of poor HRQoL between the highest and lowest SES groups was 28.4. The BO results indicated that 49.9% of the difference was explained by different distributions of age, smoking behavior, physical inactivity, chronic health conditions, and obesity between the highest and lowest SES groups, while the remaining half of the gap was explained by the response effect.
Conclusions
We observed a pro-rich distribution of poor HRQoL among adults in the capitals of Kermanshah and Kurdistan Provinces. Policies and strategies aimed at preventing and reducing smoking, physical inactivity, chronic health conditions, and obesity among the poor may reduce the gap in poor HRQoL between the highest and lowest SES groups in Iran.
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Summary
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Citations
Citations to this article as recorded by - Why is there a gap in self-rated health among people with hypertension in Zambia? A decomposition of determinants and rural‒urban differences
Chris Mweemba, Wilbroad Mutale, Felix Masiye, Peter Hangoma
BMC Public Health.2024;[Epub] CrossRef - Socio-economic inequalities in health-related quality of life and the contribution of cognitive impairment in Australia: A decomposition analysis
Rezwanul Haque, Khorshed Alam, Jeff Gow, Christine Neville, Syed Afroz Keramat
Social Science & Medicine.2024; 361: 117399. CrossRef - Health-related quality of life variation by socioeconomic status: Evidence from an Iranian population-based study
Sulmaz Ghahramani, Maryam Hadipour, Payam Peymani, Sahar Ghahramani, Kamran B. Lankarani
Journal of Education and Health Promotion.2023;[Epub] CrossRef - What explains the large disparity in child stunting in the Philippines? A decomposition analysis
Valerie Gilbert T Ulep, Jhanna Uy, Lyle Daryll Casas
Public Health Nutrition.2022; 25(11): 2995. CrossRef - Health-related quality of life by household income in Chile: a concentration index decomposition analysis
Rodrigo Severino, Manuel Espinoza, Báltica Cabieses
International Journal for Equity in Health.2022;[Epub] CrossRef
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