Literature DB >> 19336470

Which households are at risk of catastrophic health spending: experience in Thailand after universal coverage.

Tewarit Somkotra1, Leizel P Lagrada.   

Abstract

The impact of the universal coverage policy implementation in Thailand is demonstrated by the declining incidence of catastrophic health spending among Thai households-particularly among the poor. The households who remain at risk of catastrophe, as defined here, are better-off households, because of their preference for using private facilities. Others with increased likelihood of incurring catastrophic health expenditures are households with a greater proportion of elderly members, those having a member with a chronic illness or disability, and those having a member who experienced hospitalization. These determinants should prompt policy concerns to protect such households from financial catastrophe.

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Year:  2009        PMID: 19336470     DOI: 10.1377/hlthaff.28.3.w467

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  43 in total

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5.  Determinants of catastrophic health expenditure in Nigeria.

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Journal:  Eur J Health Econ       Date:  2017-05-29

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Journal:  Int J Health Care Finance Econ       Date:  2013-02-24

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Journal:  Southeast Asian J Trop Med Public Health       Date:  2009-11       Impact factor: 0.267

8.  The influence of the rural health security schemes on health utilization and household impoverishment in rural China: data from a household survey of western and central China.

Authors:  Wuxiang Shi; Virasakdi Chongsuvivatwong; Alan Geater; Junhua Zhang; Hong Zhang; Daniele Brombal
Journal:  Int J Equity Health       Date:  2010-02-23

9.  The financial burden of morbidity in HIV-infected adults on antiretroviral therapy in Côte d'Ivoire.

Authors:  Arnousse Beaulière; Siaka Touré; Pierre-Kébreau Alexandre; Koko Koné; Alex Pouhé; Bertin Kouadio; Neige Journy; Jérôme Son; Virginie Ettiègne-Traoré; François Dabis; Serge Eholié; Xavier Anglaret
Journal:  PLoS One       Date:  2010-06-18       Impact factor: 3.240

10.  Drivers of inequality in Millennium Development Goal progress: a statistical analysis.

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Journal:  PLoS Med       Date:  2010-03-02       Impact factor: 11.069

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