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Nature and determinants of out-of-pocket health expenditure among older people in a rural Indian community

Published online by Cambridge University Press:  22 May 2012

E. M. Brinda
Affiliation:
Department of Psychiatry, Christian Medical College, Vellore, India Department of Health Services Research, Aarhus University, Aarhus, Denmark
A. P. Rajkumar
Affiliation:
Department of Psychiatry, Christian Medical College, Vellore, India Center for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark
U. Enemark
Affiliation:
Department of Health Services Research, Aarhus University, Aarhus, Denmark
M. Prince
Affiliation:
Department of Health Service and Population Research, Institute of Psychiatry, London, UK
K. S. Jacob*
Affiliation:
Department of Psychiatry, Christian Medical College, Vellore, India
*
Correspondence should be addressed to: K. S. Jacob, Professor of Psychiatry, Department of Psychiatry, Christian Medical College, Vellore 632002, Tamil Nadu, India. Phone: +91-416-228-4513; Fax: +91-416-226-2268. Email: [email protected].

Abstract

Background: Increasing out-of-pocket health expenditure among older people worsens the inequitable access to essential health services in low and middle-income countries (LMIC). We investigated various socioeconomic and health factors associated with out-of-pocket and catastrophic health expenditures among rural older people in India.

Methods: We recruited 1,000 participants aged above 65 years from Kaniyambadi block, Vellore, India. We assessed their out-of-pocket health expenditure, health service utilization, socioeconomic profiles, disability, cognition, and health status by standard instruments. We employed appropriate multivariate statistics evaluating these determinants.

Results: Male gender, poor sanitation, diabetes, tuberculosis, malaria, respiratory ailments, gastrointestinal diseases, dementia, depression, and disability were associated with higher out-of-pocket expenditures. Illiteracy, tuberculosis, diabetes, and dementia increased the risk for catastrophic health expenditures, while pension schemes protected against it. Income inequalities were associated with inequities on education, disease prevalence, and access to safe water, sanitation, and nutrition.

Conclusions: Interactions between determinants of out-of-pocket health expenditure, economic inequality, and inequities on essential health care delivery to older people are complex. We highlight the need for equitable health services and policies, focusing on both medical and social determinants.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2012

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References

Ahmed, S. M., Adams, A. M., Chowdhury, M. and Bhuiya, A. (2000). Gender, socioeconomic development and health-seeking behaviour in Bangladesh. Social Science & Medicine, 51, 361371.CrossRefGoogle ScholarPubMed
Albanese, E. et al. (2011). Equity in the delivery of community healthcare to older people: findings from 10/66 Dementia Research Group cross-sectional surveys in Latin America, China, India and Nigeria. BMC Health Services Research, 11, 153. doi:10.1186/1472-6963-11-153 CrossRefGoogle Scholar
Balarajan, Y., Selvaraj, S. and Subramanian, S. V. (2011). Health care and equity in India. The Lancet, 377, 505515.CrossRefGoogle ScholarPubMed
Bonu, S., Bhushan, I. and Peters, D. H. (2007). Incidence, Intensity and Correlates of Catastrophic Out-of-Pocket Health Payments in India. ERD Working Paper Series. Manila, Philippines: Economics and Research Department, Asian Development Bank.Google Scholar
Bonu, S., Bhushan, I., Rani, M. and Anderson, I. (2009). Incidence and correlates of “catastrophic” maternal health care expenditure in India. Health Policy and Planning, 24, 445456.CrossRefGoogle ScholarPubMed
Casey, B., Oxley, H., Whitehouse, E. R., Antolín, P., Duval, R. and Leibfritz, W. (2003). Policies for an ageing society: recent measures and areas for further reform [Online]. Available from: http://www.gigusa.org/resources/eg/38.pdf; last accessed 30 May 2011.Google Scholar
Charles, H., Manoranjitham, S. D. and Jacob, K. S. (2007). Stigma and explanatory models among people with schizophrenia and their relatives in Vellore, south India. International Journal of Social Psychiatry, 53, 325332.CrossRefGoogle ScholarPubMed
Chisholm, D., Knapp, M. R., Knudsen, H. C., Amaddeo, F., Gaite, L. and van Wijngaarden, B. (2000a). Client Socio-Demographic and Service Receipt Inventory – European Version: development of an instrument for international research. EPSILON Study 5. European Psychiatric Services: Inputs linked to outcome domains and needs. British Journal of Psychiatry (Suppl.), 177, s21s27. doi:10.1192/bjp.177.39.s21 CrossRefGoogle Scholar
Chisholm, D. et al. (2000b). Integration of mental health care into primary care. Demonstration cost-outcome study in India and Pakistan. British Journal of Psychiatry, 176, 581588.CrossRefGoogle ScholarPubMed
Copeland, J. R., Dewey, M. E. and Griffiths-Jones, H. M. (1986). A computerized psychiatric diagnostic system and case nomenclature for elderly subjects: GMS and AGECAT. Psychological Medicine, 16, 8999.CrossRefGoogle ScholarPubMed
Cummings, J. L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A. and Gornbein, J. (1994). The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology, 44, 23082314.CrossRefGoogle ScholarPubMed
Dewey, M. E. and Copeland, J. R. (2001). Diagnosis of dementia from the history and aetiology schedule. International Journal of Geriatric Psychiatry, 16, 912917.CrossRefGoogle ScholarPubMed
Duba, A. S., Rajkumar, A. P., Prince, M. and Jacob, K. S. (2011). Determinants of disability among elderly in a rural south Indian community: need to study local issues and contexts. International Psychogeriatrics. Sep 21, Epublished ahead of print; PMID: 21933464. doi:10.1017/S1041610211001669 Google Scholar
Freeman, M. and Motsei, M. (1992). Planning health care in South Africa – is there a role for traditional healers? Social Science & Medicine, 34, 11831190.CrossRefGoogle Scholar
Ganguli, M. et al. (1996). Cognitive test performance in a community-based nondemented elderly sample in rural India: the Indo-U.S. Cross-National Dementia Epidemiology Study. International Psychogeriatrics, 8, 507524.CrossRefGoogle Scholar
Hall, K. S., Gao, S., Emsley, C. L., Ogunniyi, A. O., Morgan, O. and Hendrie, H. C. (2000). Community screening interview for dementia (CSI “D”); performance in five disparate study sites. International Journal of Geriatric Psychiatry, 15, 521531.3.0.CO;2-F>CrossRefGoogle ScholarPubMed
Jacob, K. S. (2007). Public health in India and the developing world: beyond medicine and primary healthcare. Journal of Epidemiology and Community Health, 61, 562563.CrossRefGoogle ScholarPubMed
Jacob, K. S., Kumar, P. S., Gayathri, K., Abraham, S. and Prince, M. J. (2007). The diagnosis of dementia in the community. International Psychogeriatrics, 19, 669678.CrossRefGoogle ScholarPubMed
Joseph, A., Joseph, K. S. and Kamaraj, K. (1991). Use of computers in primary health care. International Journal of Health Sciences, 2, 93101.Google Scholar
Kawabata, K., Xu, K. and Carrin, G. (2002). Preventing impoverishment through protection against catastrophic health expenditure. Bulletin of the World Health Organization, 80, 612.Google ScholarPubMed
Limwattananon, S., Tangcharoensathien, V. and Prakongsai, P. (2007). Catastrophic and poverty impacts of health payments: results from national household surveys in Thailand. Bulletin of the World Health Organization, 85, 600606.CrossRefGoogle ScholarPubMed
Maddala, G. S. (1983). Limited Dependent and Qualitative Variables in Econometrics. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
McIntyre, D., Thiede, M., Dahlgren, G. and Whitehead, M. (2006). What are the economic consequences for households of illness and of paying for health care in low- and middle-income country contexts? Social Science & Medicine, 62, 858865.CrossRefGoogle ScholarPubMed
Miller, P. C., Rashida, G., Tasneem, Z. and Haque, M. U. (2012). The effect of traditional birth attendant training on maternal and neonatal care. International Journal of Gynaecology and Obstetrics, 117, 148152. Epublished ahead of print; PMID: 22424659. doi:10.1016/j.ijgo.2011.12.020 CrossRefGoogle ScholarPubMed
Prince, M., Acosta, D., Chiu, H., Scazufca, M. and Varghese, M. (2003). Dementia diagnosis in developing countries: a cross-cultural validation study. The Lancet, 361, 909917.CrossRefGoogle ScholarPubMed
Prince, M. et al. (2007). The protocols for the 10/66 Dementia Research Group population-based research programme. BMC Public Health, 7, 165.CrossRefGoogle Scholar
Rajkumar, A. P., Thangadurai, P., Senthilkumar, P., Gayathri, K., Prince, M. and Jacob, K. S. (2009). Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community. International Psychogeriatrics, 21, 372378.CrossRefGoogle Scholar
Ruger, J. P. and Kim, H. J. (2007). Out-of-pocket healthcare spending by the poor and chronically ill in the Republic of Korea. American Journal of Public Health, 97, 804811.CrossRefGoogle ScholarPubMed
Somkotra, T. and Lagrada, L. P. (2009). Which households are at risk of catastrophic health spending: experience in Thailand after universal coverage. Health Affairs, 28, w467w478.CrossRefGoogle ScholarPubMed
Stekelenburg, J., Jager, B. E., Kolk, P. R., Westen, E. H., van der Kwaak, A. and Wolffers, I. N. (2005). Health care seeking behaviour and utilisation of traditional healers in Kalabo, Zambia. Health Policy, 71, 6781.CrossRefGoogle ScholarPubMed
Su, T. T., Kouyate, B. and Flessa, S. (2006). Catastrophic household expenditure for health care in a low-income society: a study from Nouna District, Burkina Faso. Bulletin of the World Health Organization, 84, 2127.CrossRefGoogle Scholar
UN (1948). International Bill of Human Rights: A Universal Declaration of Human Rights: 10/12/1948 [Online]. United Nations. Available from: http://daccess-dds-ny.un.org/doc/RESOLUTION/GEN/NR0/043/88/IMG/NR004388.pdf?OpenElement; last accessed 30 June 2011.Google Scholar
Uwakwe, R. et al. (2009). The epidemiology of dependence in older people in Nigeria: prevalence, determinants, informal care, and health service utilization. A 10/66 Dementia Research Group cross-sectional survey. Journal of the American Geriatrics Society, 57, 16201627.CrossRefGoogle ScholarPubMed
van Doorslaer, E. et al. (2007). Catastrophic payments for health care in Asia. Health Economics, 16, 11591184.CrossRefGoogle ScholarPubMed
Wagstaff, A. and van Doorslaer, E. (2003). Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998. Health Economics, 12, 921934.CrossRefGoogle ScholarPubMed
WHO (2001a). Traditional Medicine in Asia [Online]. World Health Organization. Available from: http://www.searo.who.int/LinkFiles/Traditional_Medicines_B0104.pdf; last accessed 11 May 2012.Google Scholar
WHO (2001b). WHODAS II Disability Assessment Schedule: 12-Item Interviewer Administered Version. Geneva: World Health Organization.Google Scholar
WHO (2008). Traditional Medicine [Online]. World Health Organization. Available from: http://www.who.int/mediacentre/factsheets/fs134/en/; last accessed 2011/5/5.Google Scholar
WHO (2010a). World Health Statistics [Online]. WHO. Available from: http://www.who.int/whosis/whostat/EN_WHS10_Full.pdf; last accessed 30 May 2011.Google Scholar
WHO (2010b). National Health Accounts (NHA) Country Health Expenditure Database [Online]. WHO National Health Accounts. Available from: http://www.who.int/nha/country/ind.pdf; last accessed 20 March 2012.Google Scholar
WHO (2011a). Glossary of Technical Terms [Online]. WHO. Available from: http://www.wpro.who.int/NR/rdonlyres/DAE2BD50-2706-43E3-9E50-CC6DFD1F7C73/0/glossary.pdf; last accessed 30 May 2011.Google Scholar
WHO (2011b). Social Determinants of Health [Online]. WHO. Available from: http://www.wpro.who.int/NR/rdonlyres/07833FE9-0D55-40E2-A776-E8444430F00F/0/07_Chapter2Socialdeterminantsofhealth.pdf; last accessed 30 May 2011.Google Scholar
WHO (2011c). Socioeconomic Dimensions of Non Communicable Diseases in South-East Asia Region [Online]. WHO. Available from: http://www.searo.who.int/LinkFiles/Non_Communicable_Diseases_wp2.pdf; last accessed 11 May 2011.Google Scholar
World Bank (2009). World Development Indicators Database [Online]. Available from: http://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS; last accessed 30 May 2011.Google Scholar
Wyszewianski, L. (1986). Families with catastrophic health care expenditures. Health Services Research, 21, 617634.Google ScholarPubMed
Xu, K., Evans, D. B., Carrin, G., Aguilar-Rivera, A. M., Musgrove, P. and Evans, T. (2007). Protecting households from catastrophic health spending. Health Affairs, 26, 972983.CrossRefGoogle ScholarPubMed
Xu, K., Evans, D. B., Kawabata, K., Zeramdini, R., Klavus, J. and Murray, C. J. (2003). Household catastrophic health expenditure: a multicountry analysis. The Lancet, 362, 111117.CrossRefGoogle ScholarPubMed
You, X. and Kobayashi, Y. (2011). Determinants of out-of-pocket health expenditure in China: analysis using China Health and Nutrition Survey data. Applied Health Economics and Health Policy, 9, 3949.CrossRefGoogle Scholar