Skip to main content

Refining estimates of catastrophic healthcare expenditure: an application in the Indian context

Abstract

Empirics of catastrophic healthcare expenditure, especially in the Indian context, are often based on consumption expenditure data that inadequately informs about the ability to pay. Use of such data can generate a pro-rich bias in the estimation of catastrophic expenditure thereby suggesting greater concentration of such expenditures among richer households. To improve upon the existing approach, this paper suggests a multidimensional approach to comprehend the incidence of catastrophic expenditure. Here, we integrate the information on health expenditure with other social and economic parameters of deprivation. An empirical illustration is provided by using nationally representative survey on morbidity and healthcare in India. The results of the multidimensional approach are consistent with the theoretical underpinnings of the ability-to-pay approach and emphasizes on the severity of the problem in rural areas. The suggested methodology is flexible and allows for context-specific prioritization in selection of parameters of vulnerability while estimating the incidence of catastrophic expenditures.

This is a preview of subscription content, access via your institution.

Notes

  1. The incidence and intensity is captured through indices for catastrophic payment headcount—indicating proportion of households whose expenditures (as a proportion of their income) exceeds the specified threshold and catastrophic payment gap—the aggregate or average amount by which payments (as a proportion of their income) exceeds the specified threshold.

  2. According to the Indian Census Office, a pucca house is one, which has walls and roof made of the following material: wall material—burnt bricks, stones (packed with lime or cement), cement concrete, timber, ekra etc. Roof material : tiles, GCI (Galvanised Corrugated Iron) sheets, asbestos cement sheet, RBC (Reinforced Brick Concrete), RCC (Reinforced Cement Concrete) and timber etc.

  3. The constitution of India gives a special status to historically disadvantaged castes and tribes called Scheduled Castes and Scheduled Tribes (SC/ST) and other socially, educationally and economically deprived communities termed as Other Backward Class (OBC).

References

  • Berki, S. (1986). A look at catastrophic medical expenses and the poor. Health Affairs, 5(4), 138–145.

    PubMed  Article  CAS  Google Scholar 

  • Birnbaum, H. (1978). The cost of catastrophic illness. Lexington: D. C. Heath and Company.

    Google Scholar 

  • Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: methods and applications. Cambridge: Cambridge University Press.

  • Deaton, A., & Dreze, J. (2002). Poverty and Inequality in India: A re-examination. Economic and Political Weekly, 37(36).

  • Dilip, T. R., & Duggal, R. (2002). Incidence of non-fatal health outcomes and debt in Urban India, Draft paper presented for urban research symposium, 9–11 December 2002, at World bank, Washigton D.C.

  • Ekman, B. (2007). Catastrophic health payments and health insurance: Some counterintuitive evidence from one low-income country. Health Policy, 83, 304–13.

    PubMed  Article  Google Scholar 

  • Feder, J., et al. (1981). Insuring the nation’s health. Washington, DC: The Urban Institute Press.

    Google Scholar 

  • Feldstein, M. S. (1971). A new approach to national health insurance. The Public Interest, 23, 93.

    Google Scholar 

  • Flores, G., et al. (2008). Coping with health-care costs: implications for the measurement of catastrophic expenditures and poverty. Health Economics, 17(12), 1393–1412.

    PubMed  Article  Google Scholar 

  • Garg, C. C., & Karan, A. A. (2009). Reducing out-of-pocket expenditures to reduce poverty: a disaggregate analysis at rural urban and state level in India. Health Policy and Planning, 24, 116–128.

    PubMed  Article  Google Scholar 

  • Ghosh, S. (2011). Catastrophic payments and impoverishment due to out of pocket health spending. Economic and Political Weekly, 46(47).

  • National Health Accounts. (2005). National Health Accounts, India (2001–2002). New Delhi: Ministry of Health and Family Welfare, Government of India.

  • Habicht, J., et al. (2006). Detecting changes in financial protection: creating evidence for policy in Estonia. Health Policy and Planning, 21(6), 421–431.

    PubMed  Article  Google Scholar 

  • Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153–61.

    Article  Google Scholar 

  • Kasper, J., et al. (1975). The financial impact of catastrophic illness as measured in the CHAS-NORC National Survey. Chicago: University of Chicago.

    Google Scholar 

  • Limwattananon, S., et al. (2007). Catastrophic and poverty impacts of health payments: results from national household surveys in Thailand. Bulletin of the World Health Organisation, 85(8), 600–06.

    Article  Google Scholar 

  • Mahal, A., Sakthivel, S., & Nagpal, S. (2005). National Health Accounts for India. In National Commission on Macroeconomics and Health (NCMH). Financing and Delivery of Health Care Services in India. NCMH background papers. New Delhi: Ministry of Health and Family Welfare, Government of India, pp. 256–63.

  • Mahal, A., et al. (2002). Who benefits from public sector health spending in India?. New Delhi: National Council for Applied Economic Research.

    Google Scholar 

  • Mohanti, B. K., et al. (2011). The Economic burden of cancer. Economic and Political Weekly, 46(43).

  • Ministry of Health and Family Welfare. (2005). Report of the National Commission on Macroeconomics and Health. New Delhi: Ministry of Health and Family Welfare, Government of India.

  • NSSO (National Sample Survey Organisation). (2006). Morbidity health care and the condition of aged. Report No 507. New Delhi: Ministry of Statistics and Programme Implementation.

  • O’Donnell, O., et al. (2008). Analysing health equity using household survey data: A guide to techniques and their implementation. Washington, DC: The World Bank.

    Google Scholar 

  • O’Donnell, O., et al. (2005). Who pays for healthcare in Asia. Journal of Health Economics, 27(2), 460–475.

    Article  Google Scholar 

  • Pal, R. (2010). Analysing catastrophic health expenditure in India: Concepts, determinants and policy implications, WP-2010-001. Mumbai: Indira Gandhi Institute of Development Research.

    Google Scholar 

  • Peters, D., et al. (2002). Better health systems for India’s Poor: Findings, analysis and options. Washington DC: World Bank.

    Book  Google Scholar 

  • Pradhan, M., & Prescott, N. (2002). Social risk management options for medical care in Indonesia. Health Economics, 11, 431–46.

    PubMed  Article  Google Scholar 

  • Reddy, S. G. (2007). The Great Indian Poverty Debate. Development, 50(2), 166–71.

    Article  Google Scholar 

  • Sauerborn, R., Adams, A., & Hien, M. (1996). Household strategies to cope with the economic costs of illness. Social Science and Medicine, 43, 291–301.

    PubMed  Article  CAS  Google Scholar 

  • Sengupta, A., Kannan, K. P., & Raveendran, G. (2008). India’s common people: Who are they, how many are they and where do they live? Economic and Political Weekly, 43(11)

  • Shukla, R., Shatrugn, V., & Srivatsan, R. (2011). Aarogyasri healthcare model: Advantage private sector. Economic and Political Weekly, 46(49).

  • Somkotra, T., & Lagrada, L. P. (2009). Which households are at risk of catastrophic health spending: Experience in thailand after universal coverage. Health Affairs, 28(3), w467–w478.

    PubMed  Article  Google Scholar 

  • Subramanian, S. (2011). The poverty line: Getting it wrong again. Economic and Political Weekly, XLVI(48), 37–42

  • UNDP (2010) Human development report: The real wealth of nations: pathways to human development. United Nations development programme.

  • Van Doorslaer, E., et al. (2007). Catastrophic payments for health care in Asia. Health Economics, 16(11), 1159–1184.

    PubMed  Article  Google Scholar 

  • Visaria, P., & Gumber, A. (1994). Utilisation of an expenditure on healthcare in India. Ahmedabad: Gujarat Institute for Development Research.

    Google Scholar 

  • Visaria, P., et al. (1996). Morbidity, healthcare utilisation and expenditure pattern in Andhra Pradesh, Kerala, Madhya Pradesh and Punjab; 1986–87. Ahmedabad: Gujarat Institute for Development Research.

    Google Scholar 

  • Wagstaff, A., & Van Doorslaer, E. (2003). Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998. Health Economics, 12(11), 921–34.

    PubMed  Article  Google Scholar 

  • Wagstaff, A. (2008). Measuring financial protection in health. World bank policy research working paper no. 4554. Washington D.C.: The World Bank.

  • Waters, H. R., et al. (2004). Measuring financial protection in health in the United States. Health Policy, 69(3), 339–49.

    PubMed  Article  Google Scholar 

  • World Health Assembly. (2005). Sustainable health financing, universal coverage and social health insurance. http://apps.who.int/gb/ebwhalpdf_filesIWHA58/WHA58_33-en.pdf.

  • Wyszewianski, L. (1986). Families with catastrophic health care expenditures. Health Services Research, 21(5), 617–634.

    PubMed  CAS  Google Scholar 

  • Xu, K., et al. (2003). Household catastrophic health expenditure: A multicountry analysis. The Lancet, 362(9378), 111–117.

    Article  Google Scholar 

  • Yardim, M. S., et al. (2010). Catastrophic health expenditure and impoverishment in Turkey. Health Policy, 94(1), 26–33.

    PubMed  Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to William Joe.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Gupta, I., Joe, W. Refining estimates of catastrophic healthcare expenditure: an application in the Indian context. Int J Health Care Finance Econ 13, 157–172 (2013). https://doi.org/10.1007/s10754-013-9125-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10754-013-9125-6

Keywords

  • Catastrophic expenditure
  • Out-of-pocket health expenditure
  • Targeting
  • Health policy
  • India

JEL Classification

  • I1