Log in

Measurement of Catastrophic Health Expenditure in India: A Systematic Review and Meta-Analysis

  • Systematic Review
  • Published:
Applied Health Economics and Health Policy Aims and scope Submit manuscript

Abstract

Introduction

The escalating burden of catastrophic health expenditure (CHE) poses a significant threat to individuals and households in India, where out-of-pocket expenditure (OOP) constitutes a substantial portion of healthcare financing. With rising OOP in India, a proper measurement to track and monitor CHE due to health expenditure is of utmost important. This study focuses on synthesizing findings, understanding measurement variations, and estimating the pooled incidence of CHE by health services, reported diseases, and survey types.

Method

Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a thorough search strategy was employed across multiple databases, between 2010 and 2023. Inclusion criteria encompassed observational or interventional studies reporting CHE incidence, while exclusion criteria screened out studies with unclear definitions, pharmacy revenue-based spending, or non-representative health facility surveys. A meta-analysis, utilizing a random-effects model, assessed the pooled CHE incidence. Sensitivity analysis and subgroup analyses were conducted to explore heterogeneity.

Results

Out of 501 initially relevant articles, 36 studies met inclusion criteria. The review identified significant variations in CHE measurements, with incidence ranging from 5.1% to 69.9%. Meta-analysis indicated the estimated incidence of CHE at a 10% threshold is 0.30 [0.25–0.35], indicating a significant prevalence of financial hardship due to health expenses. The pooled incidence is estimated by considering different sub-groups. No statistical differences were found between inpatient and outpatient CHE. However, disease-specific estimates were significantly higher (52%) compared to combined diseases (21%). Notably, surveys focusing on health reported higher CHE (33%) than consumption surveys (14%).

Discussion

The study highlights the intricate challenges in measuring CHE, emphasizing variations in recall periods, components considered in out-of-pocket expenditure, and diverse methods for defining capacity to pay. Notably, the findings underscore the need for standardized definitions and measurements across studies. The lack of uniformity in reporting exacerbates the challenge of comparing and comprehensively understanding the financial burden on households.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Bredenkamp C, Mendola M, Gragnolati M. Catastrophic and impoverishing effects of health expenditure: new evidence from the Western Balkans. Health Policy Plan. 2011;26:349–56. https://doi.org/10.1093/heapol/czq070.

    Article  PubMed  Google Scholar 

  2. Joe W. Distressed financing of household out-of-pocket health care payments in India: incidence and correlates. Health Policy Plan. 2015;30:728–41. https://doi.org/10.1093/heapol/czu050.

    Article  PubMed  Google Scholar 

  3. Xu K, Evans DB, Kawabata K, Zeramdini R, Klavus J, Murray CJL. Household catastrophic health expenditure: a multicountry analysis. Lancet. 2003;362:111–7. https://doi.org/10.1016/S0140-6736(03)13861-5.

    Article  PubMed  Google Scholar 

  4. Wagstaff A, Flores G, Hsu J, Smitz MF, Chepynoga K, Buisman LR, et al. Progress on catastrophic health spending in 133 countries: a retrospective observational study. Lancet Glob Heal. 2018;6:e169–79. https://doi.org/10.1016/S2214-109X(17)30429-1.

    Article  Google Scholar 

  5. Nandi A, Ashok A, Laxminarayan R. The socioeconomic and institutional determinants of participation in India’s health insurance scheme for the poor. PLoS ONE. 2013. https://doi.org/10.1371/journal.pone.0066296.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Raban MZ, Dandona R, Dandona L. Variations in catastrophic health expenditure estimates from household surveys in India. Bull World Health Organ. 2013;91:726–35. https://doi.org/10.2471/BLT.12.113100.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Shukla V, Arora R. The economic cost of rising non-communicable diseases in India: a systematic literature review of methods and estimates. Appl Health Econ Health Policy. 2023. https://doi.org/10.1007/s40258-023-00822-8.

    Article  PubMed  Google Scholar 

  8. Alam K, Mahal A. Economic impacts of health shocks on households in low and middle income countries: a review of the literature. Global Health. 2014. https://doi.org/10.1186/1744-8603-10-21.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Harrer M, Cuijpers P, Furukawa TA, Ebert DD. Doing meta-analysis with R. 2021.https://doi.org/10.1201/9781003107347

  10. Wang N. How to conduct a meta-analysis of proportions in R: a comprehensive tutorial. John Jay Coll Crim Justice. 2016. p. 1–63.

  11. Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58. https://doi.org/10.1002/sim.1186.

    Article  PubMed  Google Scholar 

  12. Pandey A, Ploubidis GB, Clarke L, Dandona L. Trends in catastrophic health expenditure in India: 1993 to 2014. Bull World Health Organ. 2018;96:18–28. https://doi.org/10.2471/BLT.17.191759.

    Article  PubMed  Google Scholar 

  13. Yadav J, Menon GR, John D. Disease-specific out-of-pocket payments, catastrophic health expenditure and impoverishment effects in India: an analysis of national health survey data. Appl Health Econ Health Policy. 2021;19:769–82. https://doi.org/10.1007/s40258-021-00641-9.

    Article  PubMed  Google Scholar 

  14. Sangar S, Dutt V, Thakur R. Economic burden, impoverishment, and co** mechanisms associated with out-of-pocket health expenditure in India: a disaggregated analysis at the state level. Int J Health Plann Manage. 2019;34:e301–13. https://doi.org/10.1002/hpm.2649.

    Article  PubMed  Google Scholar 

  15. Nanda M, Sharma R. A comprehensive examination of the economic impact of out-of-pocket health expenditures in India. Health Policy Plan. 2023;38:926–38. https://doi.org/10.1093/heapol/czad050.

    Article  PubMed  Google Scholar 

  16. Mohanty SK, Dwivedi LK. Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18. Int J Equity Health. 2021;20:1–18. https://doi.org/10.1186/s12939-021-01421-6.

    Article  Google Scholar 

  17. Lee THJ, Saran I, Rao KD. Ageing in India: financial hardship from health expenditures. Int J Health Plan Manag. 2018;33:414–25. https://doi.org/10.1002/hpm.2478.

    Article  Google Scholar 

  18. Tripathy JP, Jagnoor J, Prasad BM, Ivers R. Cost of injury care in India: cross-sectional analysis of National Sample Survey 2014. Inj Prev. 2018;24:116–22. https://doi.org/10.1136/injuryprev-2017-042318.

    Article  CAS  PubMed  Google Scholar 

  19. Mahal A, Karan A, Engelgau M. The economic implications of non-communicable disease for India. 2010.

  20. Engelgau MM, Karan A, Mahal A. The economic impact of non-communicable diseases on households in India. Glob Health. 2012;8:9–12. https://doi.org/10.1186/1744-8603-8-9.

    Article  Google Scholar 

  21. Yadav J, John D, Allarakha S, Menon GR. Rising healthcare expenditure on tuberculosis: can India achieve the End TB goal? Trop Med Int Health. 2021;26:1256–75. https://doi.org/10.1111/tmi.13648.

    Article  PubMed  Google Scholar 

  22. Mohanty SK, Sahoo U, Rashmi R. Old-age dependency and catastrophic health expenditure: evidence from Longitudinal Ageing Study in India. Int J Health Plan Manag. 2022;37:3148–71. https://doi.org/10.1002/hpm.3546.

    Article  Google Scholar 

  23. Rajasulochana SR, Kar SS. Economic burden associated with stroke in India: insights from national sample survey 2017–18. Expert Rev Pharmacoecon Outcomes Res. 2021;00:1–9. https://doi.org/10.1080/14737167.2021.1941883.

    Article  Google Scholar 

  24. Karan A, Farooqui HH, Hussain S, Hussain MA, Selvaraj S, Mathur MR. Multimorbidity, healthcare use and catastrophic health expenditure by households in India: a cross-section analysis of self-reported morbidity from national sample survey data 2017–18. BMC Health Serv Res. 2022;22:1–12. https://doi.org/10.1186/s12913-022-08509-x.

    Article  Google Scholar 

  25. Verma VR, Kumar P, Dash U. Assessing the household economic burden of non-communicable diseases in India: evidence from repeated cross-sectional surveys. BMC Public Health. 2021;21:1–22. https://doi.org/10.1186/s12889-021-10828-3.

    Article  Google Scholar 

  26. Sriram S, Albadrani M. A study of catastrophic health expenditures in India—evidence from nationally representative survey data: 2014–2018. F1000Research 2022;11:2014–8. https://doi.org/10.12688/f1000research.75808.1.

  27. Madan J, Lönnroth K, Laokri S, Squire SB. What can dissaving tell us about catastrophic costs? Linear and logistic regression analysis of the relationship between patient costs and financial co** strategies adopted by tuberculosis patients in Bangladesh, Tanzania and Bangalore, India. BMC Health Serv Res. 2015;15:1–8. https://doi.org/10.1186/s12913-015-1138-z.

    Article  Google Scholar 

  28. Behera S, Pradhan J. Uneven economic burden of noncommunicable diseases among Indian households: a comparative analysis. PLoS ONE. 2021;16:1–17. https://doi.org/10.1371/journal.pone.0260628.

    Article  CAS  Google Scholar 

  29. Muniyandi M, Thomas BE, Karikalan N, Kannan T, Rajendran K, Saravanan B, et al. Association of tuberculosis with household catastrophic expenditure in South India. JAMA Netw Open. 2020;3:1–11. https://doi.org/10.1001/jamanetworkopen.2019.20973.

    Article  Google Scholar 

  30. Kastor A, Mohanty SK. Disease-specific out-of-pocket and catastrophic health expenditure on hospitalization in India: do Indian households face distress health financing? PLoS ONE. 2018;13:1–18. https://doi.org/10.1371/journal.pone.0196106.

    Article  CAS  Google Scholar 

  31. Maurya PK, Murali S, Jayaseelan V, Thulasingam M, Pandjatcharam J. Economic burden of cancer treatment in a region in South India: a cross sectional analytical study. Asian Pacific J Cancer Prev. 2021;22:3755–62. https://doi.org/10.31557/APJCP.2021.22.12.3755.

    Article  Google Scholar 

  32. Yadav J, Menon G, Agarwal A, John D. Burden of injuries and its associated hospitalization expenditure in India. Int J Inj Contr Saf Promot. 2021;28:153–61. https://doi.org/10.1080/17457300.2021.1879163.

    Article  PubMed  Google Scholar 

  33. Mohanty SK, Agrawal NK, Mahapatra B, Choudhury D, Tuladhar S, Holmgren EV. Multidimensional poverty and catastrophic health spending in the mountainous regions of Myanmar, Nepal and India. Int J Equity Health. 2017;16:1–13. https://doi.org/10.1186/s12939-016-0514-6.

    Article  Google Scholar 

  34. Dwivedi R, Pradhan J, Athe R. Measuring catastrophe in paying for healthcare: a comparative methodological approach by using National Sample Survey. India Int J Health Plan Manag. 2021;36:1887–915. https://doi.org/10.1002/hpm.3272.

    Article  Google Scholar 

  35. Kumar K, Singh A, Kumar S, Ram F, Singh A, Ram U, et al. Socio-economic differentials in impoverishment effects of out-of-pocket health expenditure in China and India: evidence from WHO SAGE. PLoS ONE. 2015;10:1–19. https://doi.org/10.1371/journal.pone.0135051.

    Article  CAS  Google Scholar 

  36. Hei**k R, Xu K, Saksana P, Evans D. Validity and Comparability of out-of- pocket health expenditure from household surveys: a review of the literature and current survey instruments. WHO Discuss Pap 2011. p. 1–30.

  37. Mohanty SK, Kim R, Khan PK, Subramanian SV. Geographic variation in household and catastrophic health spending in India: assessing the relative importance of villages, districts, and states, 2011–2012. Milbank Q. 2018;96:167–206. https://doi.org/10.1111/1468-0009.12315.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Pandey KR, Meltzer DO. Financial burden and impoverishment due to cardiovascular medications in low and middle income countries: an illustration from India. PLoS ONE. 2016;11:1–19. https://doi.org/10.1371/journal.pone.0155293.

    Article  CAS  Google Scholar 

  39. Yadav J, Allarakha S, Menon GR, John D, Nair S. Socioeconomic impact of hospitalization expenditure for treatment of noncommunicable diseases in India: a repeated cross-sectional analysis of national sample survey data, 2004 to 2018. Value Heal Reg Issues. 2021;24:199–213. https://doi.org/10.1016/j.vhri.2020.12.010.

    Article  Google Scholar 

  40. Karan A, Selvaraj S, Mahal A. 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. 2014;9:1999–2000. https://doi.org/10.1371/journal.pone.0105162.

    Article  CAS  Google Scholar 

  41. Gupta I, Joe W. Refining estimates of catastrophic healthcare expenditure: an application in the Indian context. Int J Health Care Finance Econ. 2013;13:157–72. https://doi.org/10.1007/s10754-013-9125-6.

    Article  PubMed  Google Scholar 

  42. Xu K, Ravndal F, Evans DB, Carrin G. Assessing the reliability of household expenditure data: results of the World Health Survey. Health Policy (New York). 2009;91:297–305. https://doi.org/10.1016/j.healthpol.2009.01.002.

    Article  Google Scholar 

  43. Eze P, Lawani LO, Agu UJ, Acharya Y. Catastrophic health expenditure in sub-Saharan Africa: systematic review and meta-analysis. Bull World Health Organ. 2022;100:337-351J. https://doi.org/10.2471/BLT.21.287673.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Clarke PM, Fiebig DG, Gerdtham UG. Optimal recall length in survey design. J Health Econ. 2008;27:1275–84. https://doi.org/10.1016/j.jhealeco.2008.05.012.

    Article  PubMed  Google Scholar 

  45. Lu C, Chin B, Li G, Murray CJL. Limitations of methods for measuring out-of-pocket and catastrophic private health expenditures. Bull World Health Organ. 2009;87:238–44. https://doi.org/10.2471/BLT.08.054379.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Kalita A, Carton-Rossen N, Joseph L, Chhetri D, Patel V. The barriers to universal health coverage in India and the strategies to address them: a key informant study. Ann Glob Heal. 2023;89:69. https://doi.org/10.5334/aogh.4120.

    Article  Google Scholar 

Download references

Acknowledgements

The team mentioned in the Methods section consists of three independent reviewers, Umenthla Srikanth Reddy, Adrita Banerjee, and Tapasya Raj, who extracted papers and data from the selected papers. The authors acknowledge the contribution of Adrita Banerjee, Tapasya Raj and Shreya Singh in editing the manuscript and providing valuable feedback. The author also acknowledges the journal editor for meticulously reviewing the manuscript, as well as the anonymous reviewers for their valuable suggestions and feedback.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Umenthala Srikanth Reddy.

Ethics declarations

Funding

No funding has been received for the study; the paper is a part of PhD thesis.

Conflict of interest

The author declares no competing interests.

Ethics statement

Ethical approval for this type of study is not required by our institute.

Consent for publication

Not applicable.

Consent to participate

Not applicable.

Reflexivity statement

The author is a PhD student, this work is a part of his thesis. The author has an understanding and experience of health financing in India.

Availability of data and materials

Available upon request.

Code availability

Available upon request.

Author contributions

USR has conceptualised and designed the work. USR has collected the data and did analysis. Interpretation of the results were done by USR under the guidance of Prof. K.S. James (PhD supervisor). All the results were discussed with USR’s supervisor. The paper was drafted by USR. The critical revision was done by USR.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Reddy, U.S. Measurement of Catastrophic Health Expenditure in India: A Systematic Review and Meta-Analysis. Appl Health Econ Health Policy 22, 471–483 (2024). https://doi.org/10.1007/s40258-024-00885-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40258-024-00885-1

Navigation