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Does spending matters? Re-looking into various covariates associated with Out of Pocket Expenditure (OOPE) and catastrophic spending on accidental injury from NSSO 71st round data

Author

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  • Jalandhar Pradhan

    (National Institute of Technology)

  • Rinshu Dwivedi

    (National Institute of Technology)

  • Sanghamitra Pati

    (Regional Medical Research Centre)

  • Sarit Kumar Rout

    (Indian Institute of Public Health-PHFI)

Abstract

Background Accidental Injury is a traumatic event which not only influences physical, psychological, and social wellbeing of the households but also exerts extensive financial burden on them. Despite the devastating economic burden of injuries, in India, there is limited data available on injury epidemiology. This paper aims to, first, examine the socio-economic differentials in Out of Pocket Expenditure (OOPE) on accidental injury; second, to look into the level of Catastrophic Health Expenditure (CHE) at different threshold levels; and last, to explore the adjusted effect of various socio-economic covariates on the level of CHE. Methods Data was extracted from the key indicators of social consumption in India: Health, National Sample Survey Organisation (NSSO), conducted by the Government of India during January–June-2014. Logistic regression analysis was employed to analyse the various covariates of OOPE and CHE associated to accidental injury. Findings Binary Logistic analysis has demonstrated a significant association between socioeconomic status of the households and the level of OOPE and CHE on accidental injury care. People who used private health services incurred 16 times higher odds of CHE than those who availed public facilities. The result shows that if the person is covered via any type of insurance, the odd of CHE was lower by about 28% than the uninsured. Longer duration of stay and death due to accidental injury was positively associated with higher level of OOPE. Economic status, nature of healthcare facility availed and regional affiliation significantly influence the level of OOPE and CHE. Conclusion Despite numerous efforts by the Central and State governments to reduce the financial burden of healthcare, large number of households are still paying a significant amount from their own pockets. There are huge differentials in cost for the treatment among public and private healthcare providers for accidental injury. It is expected that the findings would provide insights into the prevailing magnitude of accidental injuries in India, the profile of the population affected, and the level of OOPE among households.

Suggested Citation

  • Jalandhar Pradhan & Rinshu Dwivedi & Sanghamitra Pati & Sarit Kumar Rout, 2017. "Does spending matters? Re-looking into various covariates associated with Out of Pocket Expenditure (OOPE) and catastrophic spending on accidental injury from NSSO 71st round data," Health Economics Review, Springer, vol. 7(1), pages 1-16, December.
    • Handle: RePEc:spr:hecrev:v:7:y:2017:i:1:d:10.1186_s13561-017-0177-z
    DOI: 10.1186/s13561-017-0177-z
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    References listed on IDEAS

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    1. Grimm, Michael & Treibich, Carole, 2016. "Why do some motorbike riders wear a helmet and others don’t? Evidence from Delhi, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 318-336.
    2. Manoj Mohanan, 2013. "Causal Effects of Health Shocks on Consumption and Debt: Quasi-Experimental Evidence from Bus Accident Injuries," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 673-681, May.
    3. Ramune Kalediene & Skirmante Starkuviene & Jadvyga Petrauskiene, 2006. "Social dimensions of mortality from external causes in Lithuania: do education and place of residence matter?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 51(4), pages 232-239, July.
    4. repec:cup:judgdm:v:1:y:2006:i::p:48-63 is not listed on IDEAS
    5. Adam Wagstaff & Eddy van Doorslaer, 2003. "Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 921-933, November.
    6. Menno Pradhan & Nicholas Prescott, 2002. "Social risk management options for medical care in Indonesia," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 431-446, July.
    7. Pushpendra Singh & Virendra Kumar, 2017. "The Rising Burden of Healthcare Expenditure in India: A Poverty Nexus," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 741-762, September.
    8. Ministry of Statistics and Prog Implementation (MOSPI), 2015. "Key Indicators of Social Consumption in India Health," Working Papers id:7118, eSocialSciences.
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    1. Bhed Ram & Ramna Thakur, 2022. "Measuring the burden of accidental injuries in India: a cross-sectional analysis of the National Sample Survey (2017–18)," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-18, December.

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