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Paper ID:IJSREM67821

A Predictive Analysis of Inflation in Medical Sector & Its Impact on Indian Households

Stream/Area:

-

Subject:

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Paper ID:

IJSREM67821

Volume:

10 |

10 |

Oct 2026

Pages:

1-17

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67821

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BURAGADDA NAGA VENKATA SRILEKHA

BURAGADDA NAGA VENKATA SRILEKHA

Bachelors of Business Administration

Koneru Lakshmaiah University

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GN

Guduri Nagaveni

Bachelors of Business Administration

Koneru Lakshmaiah University

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CHALLA JOSHANA

CHALLA JOSHANA

Bachelors of Business Administration

Koneru Lakshmaiah University

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DVP

Dr. Venkateswararao Podile

Bachelors of Business Administration

Koneru Lakshmaiah University

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Abstract

The increasing health expenditure in India has become a critical financial strain on household budgets, and the mainstream literature has paid attention mainly to out-of-pocket (OOP) expenditure and catastrophic health expenditure, without attempting to predict and quantify these outcomes in terms of factors that influence them. The study looks at how the medical sector inflation affect the financial well-being of Indian households and the moderating effect of health insurance and household income. Structured 5-point Likert scale questionnaire was used to collect the primary data and 90 responses were collected with the help of convenience sampling, all of which were fully completed and retained for analysis. The data has been analysed using the usual statistics namely Cronbach's alpha reliability test, One way ANOVA test, linear regression and Chi-square test of independence as per output of SPSS/Excel. The results show that perceived medical inflation is a significant positive predictor of out of pocket expenditure on health care (R² = .380, F(1,88) = 53.92, p < .001), which is a significant positive predictor of the financial burden (R² = .374, F(2,87) = 26.04, p < .001) of the household. The effect of perceived medical inflation on financial burden is mediated by this out of pocket channel. There was a significant relationship between household income and OOPE (p < .01) and financial burden (p < .01); however, there was no significant relationship between financial burden and health insurance status (p = .061) or between level of OOPE and health insurance status (p = .554). The findings suggest that medical inflation is linked to OOP expenses and financial stress in a reliable way, as well as that current insurance does not completely protect households from the financial impact of medical inflation and as far as income is concerned that is still a significant determinant in household vulnerability to medical inflation. The paper concludes with recommendations for policy design of insurance products and policy implications for household finance planning and future directions for predictive research.

KEYWORDS

Medical sector inflation Out-of-pocket Healthcare expenditure Household financial burden Financial Well-being Health insurance Predictive Analysis Indian Households.

Cite This Article

BURAGADDA NAGA VENKATA SRILEKHA, Guduri Nagaveni, CHALLA JOSHANA, Dr. Venkateswararao Podile, "A Predictive Analysis of Inflation in Medical Sector & Its Impact on Indian Households," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-17, Oct 2026. https://doi.org/10.55041/IJSREM67821

Full Article/Conclusion

The basic objective of this study was to analyse the relationship between perceived inflation in medical sector with financial status of Indian households using primary survey data which was analysed by Chi-square test, one-way ANOVA test and linear regression with 90 respondents. The results strongly and significantly support the sequential, largely mediated association: medical inflation is strongly and significantly associated with higher perceived OOP medical expenditure, which is strongly and significantly associated with higher perceived burden on the household financial resources, both in terms of reduced savings and increased borrowing and asset sales. The effect of medical inflation on the financial burden is much more muted when tested at the same time as out-of-pocket expenditure, suggesting that the influence of medical inflation on financial stability is more indirect than direct. Health insurance and household income are the two key conditioning factors that come into play. Overall, the presence of insurance status did not affect the reported amount of OOP costs, although it was marginally associated with a lower level of downstream financial burden, which implies that insurance does not fully protect against the effects of increasing medical expenses. Household income was found to have a clear and statistically significant relationship both with out-of-pocket expenditure and financial burden, with lower income households being overrepresented in the high financial impact category, thus demonstrating that the burden of medical inflation in India is not evenly distributed and affects the economically weaker households more. The overall findings of these results support five out of the six hypotheses tested (H1, H2, H5 and H6 fully; and H3 on the 10% rather than 5th significance level) and give grounds for rejecting hypothesis H4 because the difference between perceived out-of-pocket spending and insurance status alone was not significant. The results further support the argument advanced in the literature review that the financial protection mechanism in place in India is useful but limited and household income remains a primary driver of vulnerability to medical inflation. Policy-wise, the findings imply the need for health insurance and public funding for health that better address the primary out-of-pocket costs of receiving care (not just the downstream financial effects), along with targeted interventions for low-income households, who are here demonstrated to have a disproportionate financial burden from increasing health care expenses.

References

1.                Sriram, S., & Albadrani, M. (2022). A study of catastrophic health expenditures in India: Evidence from nationally representative survey data: 2014–2018. F1000Research, 11, 141. https://doi.org/10.12688/f1000research.75808.1 2.                Arvinth Ram, A., Kalyani, P., & William Felix, A. J. (2019). A study on the out of pocket expenditure among households with diabetic and hypertensive patients in Chidambaram, Tamil Nadu. International Journal of Advanced Community Medicine, 2(3), 100–104. https://doi.org/10.33545/comed.2019.v2.i3b.89 3.                 Joshi, A., Mohan, K., Grin, G., & Perin, D. M. P. (2013). Burden of healthcare utilization and out-of-pocket costs among individuals with NCDs in an Indian setting. Journal of Community Health, 38(2), 320–327. https://doi.org/10.1007/s10900-012-9617-1 4.                Michielsen, J., Criel, B., Devadasan, N., Soors, W., Wouters, E., & Meulemans, H. (2011). Can health insurance improve access to quality care for the Indian poor? International Journal for Quality in Health Care, 23(4), 471–486. https://doi.org/10.1093/intqhc/mzr025 5.                 Mondal, S., Lucas, H., Peters, D. H., & Kanjilal, B. (2014). Catastrophic out-of-pocket payment for healthcare and implications for household coping strategies: Evidence from West Bengal, India. Economics Bulletin, 34(2), 1303–1316. https://www.accessecon.com/Pubs/EB/2014/Volume34/EB-14-V34-I2-P121.pdf 6.                Choudhary, N., & Koamraiah, J. B. (2025). Determinants of health insurance uptake in Bihar: Evidence from the National Sample Survey. The Journal of Community Health Management, 12(4), 128–135. https://doi.org/10.18231/j.jchm.14702.1767586946 7.                Kalke, P., Mundhe, D., & Dubey, D. K. (2021). Determinants and distribution of out of pocket expenditure for health care services in a district of western Maharashtra, India: An observational study. Research Square. https://doi.org/10.21203/rs.3.rs-207143/v1 8.                Kastor, A., & Mohanty, S. K. (2018). Disease-specific out-of-pocket and catastrophic health expenditure on hospitalization in India: Do Indian households face distress health financing? PLOS ONE, 13(5), e0196106. https://doi.org/10.1371/journal.pone.0196106 9.                Yadav, J., Menon, G. R., & John, D. (2021). Disease-specific out-of-pocket payments, catastrophic health expenditure and impoverishment effects in India: An analysis of national health survey data. Applied Health Economics and Health Policy, 19(5), 769–782. https://doi.org/10.1007/s40258-021-00641-9 10.              Ranjan, R., Kumar, D., & Yadav, J. (2025). Distributional equity and socioeconomic inequalities in public healthcare utilisation in Assam, India. Demography India, 54(Special Issue 2), 20–36. https://iasp.ac.in/uploads/journal/2-1764654132.pdf

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Publication Date

10/12/2026

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