IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v37y2022i3p1402-1420.html

Magnitude and determinants of inpatient health expenditure among the elderly in India

Author

Listed:
  • Chandrima Chatterjee
  • Narayan Chandra Nayak
  • Jitendra Mahakud

Abstract

As India is experiencing both the epidemiological and demographic transition, the grey population is expected to incur huge expenditure on health care, especially hospitalization expenditure, in the coming decades. The present study, thus, examines the magnitude of different types of inpatient health expenditure (medical, non‐medical, total and out‐of‐pocket expenditure) and factors affecting them among the Indian elderly, using a health expenditure model empirically tested by the World Health Organization. Data were drawn from the 75th Round of the Health Survey conducted by the National Sample Survey Office, Government of India. In addition to basic descriptive statistics, the study employs a two‐stage least square and a generalized linear model with log‐link and gamma distribution to conduct the econometric analysis. The study finds that higher income, education, and household size, diseases like cancer, treatment involving surgery, poor physical mobility, and the elderly opting for packages involve higher inpatient health spending, while both private and social health insurance tends to reduce the same. So, a thrust on insurance‐financed health systems may reduce health spending among the elderly. In this context, the study suggests that a disease‐specific policy is required for the elderly along with ensuring state‐of‐the‐art treatment facilities for them in public hospitals for critical ailments.

Suggested Citation

  • Chandrima Chatterjee & Narayan Chandra Nayak & Jitendra Mahakud, 2022. "Magnitude and determinants of inpatient health expenditure among the elderly in India," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(3), pages 1402-1420, May.
  • Handle: RePEc:bla:ijhplm:v:37:y:2022:i:3:p:1402-1420
    DOI: 10.1002/hpm.3410
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.3410
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hpm.3410?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. S. Irudaya Rajan, 2006. "Population Ageing and Health in India," Working Papers id:492, eSocialSciences.
    2. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    3. Mcintyre, Di & Meheus, Filip & Røttingen, John-Arne, 2017. "What level of domestic government health expenditure should we aspire to for universal health coverage?," Health Economics, Policy and Law, Cambridge University Press, vol. 12(2), pages 125-137, April.
    4. Anup Karan & Sakthivel Selvaraj & Ajay Mahal, 2014. "Moving to Universal Coverage? Trends in the Burden of Out-Of-Pocket Payments for Health Care across Social Groups in India, 1999–2000 to 2011–12," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-13, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Elisabeth Paul & N’koué Emmanuel Sambiéni & Jean-Pierre Wangbe & Fabienne Fecher & Marc Bourgeois, 2020. "Budgeting challenges on the path towards universal health coverage: the case of Benin," Health Economics Review, Springer, vol. 10(1), pages 1-8, December.
    2. Samuel Sebsibie & Workineh Asmare & Tessema Endalkachew, . "Agricultural Technology Adoption and Rural Poverty: a Study on Smallholders in Amhara Regional State, Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 23(2).
    3. Alexandre Vimont & Henri Leleu & Isabelle Durand-Zaleski, 2022. "Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 211-223, March.
    4. Noémi Kreif & Richard Grieve & M. Zia Sadique, 2013. "Statistical Methods For Cost‐Effectiveness Analyses That Use Observational Data: A Critical Appraisal Tool And Review Of Current Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 486-500, April.
    5. Donfouet,Hermann Pythagore Pierre & Sanogo,Ndoh Ashken & Gogoua,Amantchi Jean - Noel & Tshivuila Matala,Opope Oyaka & Traore,Adama-000558561 & Sorgho,Gaston, 2024. "Mortality Costs of and Policy Responses to the COVID-19 Pandemic in Côte d'Ivoire," Policy Research Working Paper Series 10731, The World Bank.
    6. Rahman, Md Mizanur & Jung, Jenny & Islam, Md Rashedul & Rahman, Md Mahfuzur & Nakamura, Ryota & Akter, Shamima & Sato, Motohiro, 2022. "Global, regional, and national progress in financial risk protection towards universal health coverage, 2000–2030," Social Science & Medicine, Elsevier, vol. 312(C).
    7. Sameera Awawda & Mohammad Abu-Zaineh, 2019. "An Operationalizing Theoretical Framework for the Analysis of Universal Health Coverage Reforms: First Test on an Archetype Developing Economy," Working Papers halshs-02009858, HAL.
    8. World Bank, 2024. "Uganda - Public Expenditure Review 2022-23," World Bank Publications - Reports 41438, The World Bank Group.
    9. Yvonne Beaugé & Jean-Louis Koulidiati & Valéry Ridde & Paul Jacob Robyn & Manuela De Allegri, 2018. "How much does community-based targeting of the ultra-poor in the health sector cost? Novel evidence from Burkina Faso," Health Economics Review, Springer, vol. 8(1), pages 1-11, December.
    10. Manoj K. Pandey, 2013. "Elderly's Health Shocks and Household's Ex-ante Poverty in India," ASARC Working Papers 2013-01, The Australian National University, Australia South Asia Research Centre.
    11. Akshaya Kumar Panigrahi, 2009. "Determinants of Living Arrangements of Elderly in Orissa: An Analysis," Working Papers 228, Institute for Social and Economic Change, Bangalore.
    12. Muzuva Prince & Muzondo Pardon J & Ruvimbo Veremu, 2025. "“Navigating Uncertainty: Assessing the Socioeconomic and Health Implications of USAID and PEPFAR Funding Withdrawal in Africaâ€," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(5), pages 3967-3976, May.
    13. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2012. "The Influence of BMI, Obesity and Overweight on Medical Costs: A Panel Data Approach," Working Papers 2012-08, FEDEA.
    14. Boundioa, Jacques & Diallo, Souleymane, 2025. "Does financial development improve the effect of public health expenditure on out-of-pocket payments for healthcare in the WAEMU?," Journal of Policy Modeling, Elsevier, vol. 47(1), pages 228-249.
    15. Daniel Chukwuemeka Ogbuabor & Obinna Emmanuel Onwujekwe, 2019. "Aligning public financial management system and free healthcare policies: lessons from a free maternal and child healthcare programme in Nigeria," Health Economics Review, Springer, vol. 9(1), pages 1-10, December.
    16. Deirdre Hennessy & Claudia Sanmartin & Sabha Eftekhary & Laurie Plager & Jennifer Jones & Kanecy Onate, 2015. "Creating a synthetic database for use in microsimulation models to investigate alternative health care financing strategies in Canada [e-mail: jennifer.jones2@canada.ca]," International Journal of Microsimulation, International Microsimulation Association, vol. 8(3), pages 41-74.
    17. Shailender Kumar Hooda, 2015. "Private Sector in Healthcare Delivery Market in India: Structure, Growth and Implications," Working Papers 185, Institute for Studies in Industrial Development (ISID).
    18. Wu, Yihan & Zhang, Xingmin, 2025. "State-led regional development strategy and multidimensional health poverty of the residents: Evidence from the China’s great western development program," Economics & Human Biology, Elsevier, vol. 57(C).
    19. Herberholz, Chantal & Phuntsho, Sonam, 2021. "Medical, transportation and spiritual out-of-pocket health expenditure on outpatient and inpatient visits in Bhutan," Social Science & Medicine, Elsevier, vol. 273(C).
    20. Purnamita Dasgupta & Bishwanath Goldar, 2018. "Costing for Elevation in Development Expenditure: Illustrative Evidence from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 811-830, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:ijhplm:v:37:y:2022:i:3:p:1402-1420. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0749-6753 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.