Burden, Patterns, and Economic Impact of Multimorbidity among Older Adults in India: Evidence from a Community-Based Mixed-Methods Study

Authors

  • Dr. Ujjwal Sourav Associate professor, Department of Community Medicine, Mahabodhi Medical college, Gayaji, Bihar
  • Dr. Suman Kumar Bharti Assistant professor, Department of Community Medicine, Mahabodhi Medical College, Gayaji, Bihar
  • Dr. Nidhi Assistant professor, Department of Community Medicine, Mahabodhi Medical college, Gayaji, Bihar

DOI:

https://doi.org/10.51168/fc553017

Keywords:

Multimorbidity, Elderly, Out-of-pocket expenditure, Healthcare utilization, India, Community Medicine

Abstract

Background: Multimorbidity, defined as the coexistence of two or more chronic conditions, is increasingly prevalent among the elderly in India. It significantly impacts healthcare utilization and financial burden, yet remains underexplored in integrated frameworks combining epidemiology, health economics, and patient perspectives.

Objectives: To estimate the prevalence and patterns of multimorbidity, assess out-of-pocket expenditure (OOPE), evaluate healthcare utilization, and explore patient experiences among elderly individuals in rural and urban settings.

Methods: A community-based mixed-methods study was conducted among 600 elderly participants (≥60 years) selected through multistage stratified sampling in Rural and Urban field practice area of Mahabodhi medical college Gaya ji. Quantitative data included socio-demographic characteristics, morbidity profile, healthcare utilization, and expenditure. Multimorbidity patterns were analyzed using cluster analysis. Logistic regression identified predictors. Catastrophic health expenditure was defined as OOPE ≥10% of household income. Qualitative data were obtained through in-depth interviews and analyzed thematically.

Results: The prevalence of multimorbidity was 48.5% (95% CI: 44.5–52.5), higher in urban (54.2%) than rural areas (42.8%). The most common conditions were hypertension (58%), diabetes (42%), and osteoarthritis (37%). Three dominant clusters emerged: cardiometabolic, musculoskeletal, and respiratory. Multimorbidity was significantly associated with age ≥70 years (AOR 2.1), female gender (AOR 1.6), and low physical activity (AOR 1.9). Mean annual OOPE was ₹18,600, with 32% experiencing catastrophic expenditure. Private sector utilization was higher (61%), especially in urban areas. Qualitative findings highlighted financial distress, fragmented care, and lack of geriatric-friendly services.

Conclusion: Multimorbidity poses a substantial clinical and economic burden among the elderly, with inequities across rural–urban settings. Strengthening primary care and financial risk protection is essential.

Author Biographies

  • Dr. Ujjwal Sourav, Associate professor, Department of Community Medicine, Mahabodhi Medical college, Gayaji, Bihar

    is an Associate Professor in the Department of Community Medicine at Mahabodhi Medical College, Gaya, Bihar, with academic and research interests in community health, epidemiology, and non-communicable diseases.

  • Dr. Suman Kumar Bharti, Assistant professor, Department of Community Medicine, Mahabodhi Medical College, Gayaji, Bihar

    is an Assistant Professor in the Department of Community Medicine at Mahabodhi Medical College, Gaya, Bihar, with interests in community-based research, epidemiology, and public health.

  • Dr. Nidhi, Assistant professor, Department of Community Medicine, Mahabodhi Medical college, Gayaji, Bihar

    is an Assistant Professor in the Department of Obstetrics and Gynaecology at Mahabodhi Medical College, Gaya, Bihar, with clinical and academic interests in maternal and reproductive health.

References

1. International Institute for Population Sciences (IIPS), National Programme for Health Care of Elderly (NPHCE), Ministry of Health and Family Welfare, Harvard T.H. Chan School of Public Health, University of Southern California. Longitudinal Ageing Study in India (LASI) Wave 1, 2017-18: India Report. Mumbai: IIPS; 2020. Available from: LASI India Report (IIPS)

2. Ebrahim S, Pearce N, Smeeth L, Casas JP, Jaffar S, Piot P.Tackling non-communicable diseases in low- and middle-income countries: is the evidence from high-income countries all we need? PLoS Med. 2013;10, e100137 https://doi.org/10.1371/journal.pmed.1001377

3. Abegunde DO, Mathers CD, Adam T, Ortegon M, Strong K. The burden and costs of chronic diseases in low-income and middle-income countries. Lancet. 2007;370:1929-38. https://doi.org/10.1016/S0140-6736(07)61696-1

4. World Health Organization. World report on ageing and health. Geneva: World Health Organization; 2015.

5. Fortin M, Soubhi H, Hudon C, Bayliss EA, van den Akker M. Multimorbidity's many challenges. BMJ. 2007;334:1016-7. https://doi.org/10.1136/bmj.39201.463819.2C

6. Chauhan S, Patel R, Kumar S. Prevalence, factors and inequalities in chronic disease multimorbidity among older adults in India: Analysis of cross-sectional data from the nationally representative Longitudinal Ageing Study in India (LASI). BMJ Open. 2022;12:e053953. (PubMed) https://doi.org/10.1136/bmjopen-2021-053953

7. Puri P, Muhammad T, Patel SK, Bharati DR, Shabnam S. Patterns and predictors of non-communicable disease multimorbidity among older adults in India: Evidence from Longitudinal Ageing Study in India (LASI), 2017-2018. J Public Health (Berl). 2023;31:287-298. (PubMed) https://doi.org/10.1057/s41271-021-00321-x

8. Patel P, Muhammad T, Sahoo H. The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI. BMC Geriatr. 2023 Jan 30;23(1):53. https://doi.org/10.1186/s12877-023-03728-1

9. Arokiasamy P, Uttamacharya U, Jain K, Biritwum RB, Yawson AE, Wu F, et al. The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: What does the study on global ageing and adult health (SAGE) reveal? BMC Med. 2015;13:178. https://doi.org/10.1186/s12916-015-0402-8

10. Pati S, Hussain MA, Swain S, Salisbury C. Measuring multimorbidity in low- and middle-income countries: A systematic review of study methods. BMJ Open. 2015;5:e007235. https://doi.org/10.1136/bmjopen-2014-007235

11. Xu X, Mishra GD, Jones M. Evidence on multimorbidity from definition to intervention: An overview of systematic reviews. Ageing Res Rev. 2017 Aug;37:53-68. https://doi.org/10.1016/j.arr.2017.05.003

12. Ahamad V, Mohammad R, Pal AK, Chouhan KR. Multimorbidity and its association with health-related quality of life among older adults in India: a cross-sectional analysis of LASI wave-1. BMC Geriatr. 2025 Sep 29;25(1):740. https://doi.org/10.1186/s12877-025-06427-1

13. Kansra P, Oberoi S, Garg A. Out-of-pocket payments & catastrophic healthcare expenditure for non-communicable diseases: Results of a State-wide STEPS survey in north India. Indian J Med Res. 2025 Mar;161(3):229-238. https://doi.org/10.25259/IJMR_625_2024

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Published

2026-06-30

Issue

Section

Section of Community and Public Health Research

How to Cite

Ujjwal, S., Bharti, S. K., & Nidhi. (2026). Burden, Patterns, and Economic Impact of Multimorbidity among Older Adults in India: Evidence from a Community-Based Mixed-Methods Study. Student’s Journal of Health Research Africa, 7(2), 12. https://doi.org/10.51168/fc553017

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