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Out-of-pocket expenditure for hospitalization in Haryana State of India: Extent, determinants & financial risk protection

TLDR
The findings showed that hospitalization resulted in significant OOP expenditure, leading to CHEs and impoverishment of households, and impact of OOP expenditures was inequitably more on the vulnerable groups.
Abstract
Background & objectives: India aspires to achieve universal health coverage, which requires ensuring financial risk protection (FRP). This study was done to assess the extent of out-of-pocket (OOP) expenditure and FRP for hospitalization in Haryana State, India. Further, the determinants for FRP were also evaluated. Methods: Data collected as a part of a household level survey conducted in Haryana 'Concurrent Evaluation of National Rural Health Mission: Haryana Health Survey' were analyzed. Descriptive analysis was undertaken to assess socio-demographic characteristics, hospitalization rate, extent and determinants of OOP expenditure and FRP. Prevalence of catastrophic health expenditure (CHE) (more than 40% of non-food expenditure) and impoverishment (Int$ 1.25) were estimated. Multivariate logistic regression was used to assess determinants of FRP. Results: Hospitalization rate was found to be 3106 persons or 3307 episodes per 100,000 population. Median OOP expenditure on hospitalization was ₹ 8000 (USD 133), which was predominantly attributed to medicines (37%). Prevalence of CHE was 25.2 per cent with higher prevalence amongst males [odds ratio (OR)=1.30], those belonging to scheduled caste and scheduled tribes (OR=1.35), poorest 20 per cent households (OR=3.05), having injuries (OR=4.03) and non-communicable diseases (OR=3.13) admitted in a private hospital (OR=2.69) and those who were insured (OR=1.74). There was a 12 per cent relative increase in poverty head count due to OOP payments on healthcare. Interpretation & conclusions: Our findings showed that hospitalization resulted in significant OOP expenditure, leading to CHEs and impoverishment of households. Impact of OOP expenditures was inequitably more on the vulnerable groups. OOP expenditure may be curtailed through provision of free medicines and diagnostics and removal of any form of user charges.

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Citations
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Out-of-pocket expenditure and catastrophic health expenditure for hospitalization due to injuries in public sector hospitals in North India.

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References
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Constructing socio-economic status indices: how to use principal components analysis.

TL;DR: How PCA-based indices are constructed, how they can be used, and their validity and limitations are reviewed, and issues related to choice of variables, data preparation and problems such as data clustering are addressed.
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Household catastrophic health expenditure: a multicountry analysis.

TL;DR: People, particularly in poor households, can be protected from catastrophic health expenditures by reducing a health system's reliance on out-of-pocket payments and providing more financial risk protection.
Journal ArticleDOI

Catastrophic household expenditure for health care in a low-income society: a study from Nouna District, Burkina Faso

TL;DR: It is concluded that the poorest members of the community incurred catastrophic health expenses, and this has important policy implications and can be used to ensure better access to health services and a higher degree of financial protection for low-income groups against the economic impact of illness.
Journal ArticleDOI

Reducing out-of-pocket expenditures to reduce poverty: a disaggregated analysis at rural-urban and state level in India.

TL;DR: The paper argues for better methods of capturing drugs expenditure in household surveys and recommends that special attention be paid to expenditures on drugs, in particular for the poor.

Why Publicly-Financed Health Insurance Schemes Are Ineffective in Providing Financial Risk Protection

TL;DR: It is conclusively demonstrated that the poorer sections of households in intervention districts of the Rashtriya Swasthya Bima Yojna, Rajiv Aarogyasri of Andhra Pradesh, and Tamil Nadu Health Insurance schemes experienced a rise in real per capita healthcare expenditure, particularly on hospitalisation, and an increase in catastrophic headcount.
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