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Economic burden of cancer treatment in India: an equity perspective

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  • Sasmita Behera

    (National Institute of Technology Rourkela)

  • Jalandhar Pradhan

    (National Institute of Technology Rourkela)

Abstract

Cancer patients in India often face the burden of paying out-of-pocket (OOP) for their treatment that is not covered by any health insurance. Moreover, inequities in OOP payment are also found among these patients. This study aims to determine horizontal and vertical inequity in OOP expenditure associated with cancer hospitalisation in India and analyse the demographic and socio-economic determinants of these expenditures. Data has been retrieved from 75th round of the National Sample Survey Office (NSSO), conducted by the Government of India between July 2017 and June 2018. To analyse horizontal and vertical inequity, mean predicted OOP payment has been used across the monthly per capita consumption expenditure (MPCE) quintiles and other demographic and socio-economic variables. The Generalised Linear Regression Model (GLRM) has been applied to study the determinants of OOP expenditure. The result of vertical inequity shows that the predicted mean OOP expenditure is more for lower-income quintiles, indicates a regressive nature of health financing for cancer treatment in India. Non-schedule caste and tribe (SC/ST) people have a higher percentage of OOP expenditure as compared to their SC/ST counterparts in the poor and middle-income quintiles, whereas for the richer income quintiles, OOP expenditure is higher for SC/ST population. The mean OOP cost is also higher for the male respondents than the female across all the quintiles. The result of GLRM shows that predicted OOP expenditure is significantly associated with residence, gender, insurance coverage, and level of care. India is experiencing a higher burden of OOP expenditure for cancer hospitalisation and widespread inequities in paying for this expenditure. Indian government and policymakers must act to remove these underlying barriers to provide affordable, equitable, and universal cancer care for the entire population.

Suggested Citation

  • Sasmita Behera & Jalandhar Pradhan, 2023. "Economic burden of cancer treatment in India: an equity perspective," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 25(2), pages 334-349, December.
    • Handle: RePEc:spr:jsecdv:v:25:y:2023:i:2:d:10.1007_s40847-023-00247-y
    DOI: 10.1007/s40847-023-00247-y
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    1. Wagstaff, Adam & Paci, Pierella & van Doorslaer, Eddy, 1991. "On the measurement of inequalities in health," Social Science & Medicine, Elsevier, vol. 33(5), pages 545-557, January.
    2. Swadhin Mondal & Henry Lucas & David Peters & Barun Kanjilal, 2014. "Catastrophic out-of-pocket payment for healthcare and implications for household coping strategies: evidence from West Bengal, India," Economics Bulletin, AccessEcon, vol. 34(2), pages 1303-1316.
    3. Yang Zhao & Lin Zhang & Yu Fu & Minyu Wang & Luwen Zhang, 2020. "Socioeconomic Disparities in Cancer Treatment, Service Utilization and Catastrophic Health Expenditure in China: A Cross-Sectional Analysis," IJERPH, MDPI, vol. 17(4), pages 1-13, February.
    4. Sunil Rajpal & Abhishek Kumar & William Joe, 2018. "Economic burden of cancer in India: Evidence from cross-sectional nationally representative household survey, 2014," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-17, February.
    5. Sasmita Behera & Jalandhar Pradhan, 2021. "Uneven economic burden of non-communicable diseases among Indian households: A comparative analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-17, December.
    6. Noah Olasehinde & Olanrewaju Olaniyan, 2017. "Determinants of household health expenditure in Nigeria," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 44(12), pages 1694-1709, December.
    7. Akashdeep Singh Chauhan & Shankar Prinja & Sushmita Ghoshal & Roshan Verma & Arun S Oinam, 2018. "Cost of treatment for head and neck cancer in India," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-13, January.
    8. Ajay Mahal & Anup Karan & Victoria Y Fan & Michael Engelgau, 2013. "The Economic Burden of Cancers on Indian Households," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-10, August.
    9. Cisse, Boubou & Luchini, Stephane & Moatti, Jean Paul, 2007. "Progressivity and horizontal equity in health care finance and delivery: What about Africa?," Health Policy, Elsevier, vol. 80(1), pages 51-68, January.
    10. Ataguba, J.E. & Ingabire, M.-G., 2016. "Universal health coverage: Assessing service coverage and financial protection for all," American Journal of Public Health, American Public Health Association, vol. 106(10), pages 1780-1781.
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