The trend of impoverishing effects of out-of-pocket health expenditure in Iranian provinces in 2008-2014

Yazdi Feyzabadi, V; Mehrolhassani, MH; Haghdoost, AA; Bahrampour, M

The trend of impoverishing effects of out-of-pocket health expenditure in Iranian provinces in 2008-2014

Yazdi Feyzabadi, V Mehrolhassani, MH Haghdoost, AA Bahrampour, M

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Publisher:: Tehran University of Medical Sciences
Publication Type:: Journal Article
Citation:: Iranian Journal of Epidemiology, 2017, 12, (5 Special Issue), pp. 20-31
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Yazdi Feyzabadi, V
dc.contributor.author	Mehrolhassani, MH
dc.contributor.author	Haghdoost, AA
dc.contributor.author	Bahrampour, M https://orcid.org/0000-0002-6915-1865
dc.date.accessioned	2022-09-06T03:16:25Z
dc.date.available	2022-09-06T03:16:25Z
dc.date.issued	2017-01-01
dc.identifier.citation	Iranian Journal of Epidemiology, 2017, 12, (5 Special Issue), pp. 20-31
dc.identifier.issn	1735-7489
dc.identifier.issn	2228-7507
dc.identifier.uri	http://hdl.handle.net/10453/161414
dc.description.abstract	Background and Objectives: One of the fair financial protection indexes in monitoring health systems is estimating impoverishment due to health care expenditure. The aim of this study was to measure the percentage of households impoverished due to out-of-pocket(OOP) payments in Iran provinces during2008-2014. Methods: The present retrospective descriptive study was conducted based on data from Household Income and Expenditure Survey in both rural and urban households. The proportion of households that moved below the poverty line after deducting health care costs was calculated. The poverty line for urban and rural areas was calculated based on household food expenditure. To show the provincial dispersion of the index during this period, the coefficient of variation(CV) was used. Mann-WhitneyU test and descriptive statistics were used to analyze the data. Results: Golestan, North Khorasan, and Kerman had the highest impoverishment rate due to OOP Moreover, Alborz, Tehran, and Bushehr had the lowest impoverishment rate due to OOP. In all the study years, the average impoverishment due to OOP was significantly higher in rural areas compared to urban areas. Provincial dispersion CV for this index did not have a constant trend. Conclusion: The results of this study provide valuable evidence for policy-makers to estimate the impact of OOPs on household impoverishment. In order to reduce impoverishment due to OOP, supportive targeted interventions for vulnerable and low-income households, especially rural households, in addition to decreasing the share of OOP, are essential, such as developing health subsidies and improving insurance service packages.
dc.language	en
dc.publisher	Tehran University of Medical Sciences
dc.relation.ispartof	Iranian Journal of Epidemiology
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	The trend of impoverishing effects of out-of-pocket health expenditure in Iranian provinces in 2008-2014
dc.type	Journal Article
utslib.citation.volume	12
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Centre for Health Economics Research and Evaluation
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-09-06T03:16:22Z
pubs.issue	5 Special Issue
pubs.publication-status	Published
pubs.volume	12
utslib.citation.issue	5 Special Issue

Abstract:

Background and Objectives: One of the fair financial protection indexes in monitoring health systems is estimating impoverishment due to health care expenditure. The aim of this study was to measure the percentage of households impoverished due to out-of-pocket(OOP) payments in Iran provinces during2008-2014. Methods: The present retrospective descriptive study was conducted based on data from Household Income and Expenditure Survey in both rural and urban households. The proportion of households that moved below the poverty line after deducting health care costs was calculated. The poverty line for urban and rural areas was calculated based on household food expenditure. To show the provincial dispersion of the index during this period, the coefficient of variation(CV) was used. Mann-WhitneyU test and descriptive statistics were used to analyze the data. Results: Golestan, North Khorasan, and Kerman had the highest impoverishment rate due to OOP Moreover, Alborz, Tehran, and Bushehr had the lowest impoverishment rate due to OOP. In all the study years, the average impoverishment due to OOP was significantly higher in rural areas compared to urban areas. Provincial dispersion CV for this index did not have a constant trend. Conclusion: The results of this study provide valuable evidence for policy-makers to estimate the impact of OOPs on household impoverishment. In order to reduce impoverishment due to OOP, supportive targeted interventions for vulnerable and low-income households, especially rural households, in addition to decreasing the share of OOP, are essential, such as developing health subsidies and improving insurance service packages.

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http://hdl.handle.net/10453/161414