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Decomposing socioeconomic inequality in household out of pocket health expenditures in Pakistan (2010-11-2018-19).
Zubair, Muhammad; Naz, Lubna; Sriram, Shyamkumar.
  • Zubair M; Collage of Economics and Social Development, Institute of Business Management(IoBM), Karachi, 75190, Pakistan.
  • Naz L; School of Economics and Social Sciences, Institute of Business Administration (IBA), Karachi, 75270, Pakistan.
  • Sriram S; College of Health Sciences and Professions, Ohio University, Athens, OH, 45701, USA. shyam.silverhawk@gmail.com.
BMC Health Serv Res ; 24(1): 837, 2024 Jul 24.
Article en En | MEDLINE | ID: mdl-39049025
ABSTRACT

BACKGROUND:

The increased socioeconomic inequality in catastrophic health expenditure (CHE) disproportionately affects disadvantaged populations, subjecting them to financial hardships, limiting their access to healthcare, and exacerbating their vulnerability to morbidity.

OBJECTIVES:

This study examines changes in socioeconomic inequality related to CHE and analyzes the contributing factors responsible for these changes in Pakistan between 2010-11 and 2018-19.

METHODS:

This paper extracted the data on out-of-pocket health expenditures from the National Health Accounts for 2009-10 and 2017-18. Sociodemographic information was gathered from the Household Integrated Economic Surveys of 2010-11 and 2018-19. CHE was calculated using budget share and the ability-to-pay approaches. To assess socioeconomic inequality in CHE in 2010-11 and 2018-19, both generalized and standard concentration indices were used, and Wagstaff inequality decomposition analysis was employed to explore the causes of socioeconomic inequality in each year. Further, an Oaxaca-type decomposition was applied to assess changes in socioeconomic inequality in CHE over time.

RESULTS:

The concentration index reveals that socioeconomic inequality in CHE decreased in 2018-19 compared to 2010-11 in Pakistan. Despite the reduction in inequality, CHE was concentrated among the poor in Pakistan in 2010-11 and 2018-19. The inequality decomposition analysis revealed that wealth status was the main cause of inequality in CHE over time. The upper wealth quantiles indicated a positive contribution, whereas lower quantiles showed a negative contribution to inequality in CHE. Furthermore, urban residence contributed to pro-rich inequality, whereas employed household heads, private healthcare provider, and inpatient healthcare utilization contributed to pro-poor inequality. A noticeable decline in socioeconomic inequality in CHE was observed between 2010 and 2018. However, inequality remained predominantly concentrated among the lower socio-economic strata.

CONCLUSION:

These results underscore the need to improve the outreach of subsidized healthcare and expand social safety nets.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Factores Socioeconómicos / Gastos en Salud Límite: Adult / Female / Humans / Male / Middle aged País como asunto: Asia Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Factores Socioeconómicos / Gastos en Salud Límite: Adult / Female / Humans / Male / Middle aged País como asunto: Asia Idioma: En Año: 2024 Tipo del documento: Article