Abstract
The objective of this study was to quantify the impact that having arthritis has on income poverty status and accumulated wealth in Australia. Cross-sectional analysis of Health&WealthMOD, a microsimulation model built on data from the Australian Bureau of Statistics’ Survey of Disability, Ageing and Carers and STINMOD, an income and savings microsimulation model. Across all categories of labour force participation status (employed full time, part time or not in the labour force at all), those with arthritis were significantly more likely to be in poverty. Those employed full time with no health condition had 0.82 times the odds of being in income poverty (95 % CI 0.80–0.84) compared with those employed full time with arthritis. Those not in the labour force with no chronic health conditions had 0.36 times the odds of being in income poverty compared with those not in the labour force due to arthritis (95 % CI 0.36–0.37). For people not in the labour force with no long-term health condition, the total value of their wealth was 211 % higher (95 % CI 38–618 %) than the amount of wealth accumulated by those not in the labour force due to arthritis. Similarly, those employed part time with no chronic health condition had 50 % more wealth than those employed part time with arthritis (95 % CI 3–116 %). Arthritis has a profound impact upon the economic circumstances of individuals, which adds a further dimension to the detrimental living standards of older individuals suffering from the condition.
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Notes
The income unit is defined by the ABS as ‘a group of two or more related persons in the same household assumed to pool their income and savings and share the benefits deriving from them equitably, or one person assumed to have sole command over his or her income, consumption and savings’ [23].
Calculated for persons with wealth, some accumulated wealth, excluding those with zero wealth.
References
Yelin E, Cisternas M, Foreman A, Pasta D, Murphy L, Helmick C (2007) National and state medical expenditures and lost earnings attributable to arthritis and other rheumatic conditions—United States, 2003. Morb Mortal Wkly Rep 56:4–7
Australian Institute of Health and Welfare (2008) Australia’s health 2008. AIHW, Canberra
Cooper NJ (2000) Economic burden of rheumatoid arthritis: a systematic review. Rheumatology 39(1):28–33
Li X, Gignac M, Anis A (2006) The indirect costs of arthritis resulting from unemployment, reduced performance, and occupational changes while at work. Med Care 44(4):304
Economics Access (2005) The economic cost of arthritis in New Zealand. Arthritis, New Zealand
Access Economics (2007) Painful realities: the economic impact of arthritis in Australia in 2007. Arthritis, Forest Lodge
Dunlop D, Manheim L, Yelin E, Song J, Chang R (2003) The costs of arthritis. Arthritis Rheum 49(1):101–113
Gignac M, Cao X, Lacaille D, Anis A, Badley EM (2008) Arthritis-related work transitions: a prospective analysis of reported productivity losses, work changes, and leaving the labor force. Arthritis Rheum (Arthritis Care Res) 59(12):1805–1813
Verstappen SMM, Boonen A, Bijlsma JWJ, Buskens E, Verkleij H, Schenk Y, van Albada-Kuipers GA, Hofman DM, Jacobson JWG (2004) Working status among Dutch patients with rheumatoid arthritis: work disability and working conditions. Rheumatology 44(2):202–206
Burton W, Morrison A, Maclean R, Ruderman E (2006) Systematic review of studies of productivity loss due to rheumatoid arthritis. Occup Med 56(1):18–27
Badley EM, Wang PP (2001) The contribution of arthritis and arthritis disability to nonparticipation in the labor force: a Canadian example. J Rheumatol 28(5):1077–1082
Schofield DJ, Shrestha RN, Passey ME, Earnest A, Fletcher SL (2008) Chronic disease and labour force participation among older Australians. Med J Aust 189(8):447
Australian Bureau of Statistics (2006) National health survey 2004–2005: summary of results. Australian Bureau of Statistics, Canberra
Wolfe F, Michaud K, Williams R (2005) Household income and earnings losses among 6,396 persons with rheumatoid arthritis. J Rheumatol 32(10):1875–1883
Schofield D, Shrestha R, Percival R, Passey M, Kelly S, Callander E. Economic impacts of illness in older workers: quantifying the impact of illness on income, tax revenue and government spending. BMC Pub Health 11(418). doi:10.1186/1471-2458-11-418
Albers JM, Kuper HH, van Riel PL, Prevoo ML, van ’t Hof MA, van Gestel AM, Severens JL (1999) Socio-economic consequences of rheumatoid arthritis in the first years of the disease. Rheumatology 38(5):423–430
Hagenaars A, de Vos K (1988) The definition and measurement of poverty. J Hum Resour 23(2):211–221
Harding A, Lloyd R, Greenwell H (2001) Financial disadvantage in Australian 1990–2000: the persistence of poverty in a decade of growth. The Smith Family, Camperdown
Miles D (1999) Modelling the impact of demographic change upon the economy. Econ J 109:1–36
Bloom DE, Canning D, Graham B (2003) Longevity and life-cycle savings. Scand J Econ 105(3):319–338
Sala-i-Martín X (2005) On the health poverty trap. In: Lopez-Casasnovas G, Currais L (eds) Health and economic growth: findings and policy implications. The MIT Press, Cambridge
Zhang J, Zhang J (2005) The effect of life expectancy on fertility, saving, schooling and economic growth: theory and evidence. Scand J Econ 107(1):45–66
Australian Bureau of Statistics (2005) Information paper—basic confidentialised unit record file: survey of disability, ageing and carers 2003 (reissue). Australian Bureau of Statistics, Canberra
Percival R, Abello A, Vu QN (2007) STINMOD (static income model) 2007. In: Gupta A, Harding A (eds) Modelling our future: population ageing, health and aged care. Elsevier, Amsterdam
World Health Organisation (2010) International classification of diseases (ICD) [cited 6 Oct 2010]. Available from: http://apps.who.int/classifications/apps/icd/icd10online/
Schofield D, Shrestha R, Percival R, Kelly S, Passey M, Callander E, Fletcher S. Modelling the cost of ill health in Health&WealthMOD: lost labour force participation, income and taxation, and the impact of disease prevention (under review)
De Vos K, Zaidi MA (1997) Equivalence scale sensitivity of poverty statistics for the member states of the European community. Rev Income Wealth 43(3):319–333
Saunders P (1996) Poverty, income distribution and health: an Australian study. In: SPRC reports and proceedings. Social Policy Research Centre, Sydney
Saunders P, Bradbury B (2006) Monitoring trends in poverty and income distribution: data, methodology and measurement. Econ Rec 82(258):341–364
Saunders P, Hill T, Bradbury B (2007) Poverty in Australia: sensitivity analysis and recent trends 2007 SPRC. University of New South Wales, Sydney
Mejer L, Siermann C (2000) Income poverty in the European Union: children, gender and poverty gaps. In: Statistics in focus: population and social conditions. Eurostat
Trigger D (2003) Does the way we measure poverty matter? In: Discussion paper no. 59, NATSEM, Canberra
Hagenaars A, de Vos K, Zaidi MA (1994) Poverty statistics in the late 1980s: research based on micro-data. Office for Official Publications of the European Communities, Luxembourg
Kelly S (2009) Don’t stop thinking about tomorrow—the changing face of retirement—the past, the present and the future. In: AMP.NATSEM income and wealth report (issue 24), AMP, Sydney
Schofield D, Kelly S, Shrestha R, Callander E, Passey M, Percival R (2010) Long term financial impacts of CVD: living standards in retirement. Int J Cardiol (in press). Available online: http://dx.doi.org/10.1016/j.ijcard.2010.10.046
Schofield D, Passey M, Percival R, Shrestha R, Callander E, Kelly S (2011) Retiring early with cardiovascular disease—impact on individual’s financial assets. Int J Cardiol 146(1):125–126
Schofield D, Percival R, Passey M, Shrestha R, Callander E, Kelly S (2011) The financial vulnerability of individuals with diabetes. Br J Diabetes Vasc Dis 10(6):300–304
Swoboda SM, Lipsett PA (2002) Impact of a prolonged surgical critical illness on patients’ families. Am J Crit Care 11(5):459–466
Mills A, Shillcutt S (2004) Communicable diseases. In: Lomborg B (ed) Global crises, global solutions. Cambridge University Press, Cambridge
Productivity Commission (2005) Economic implications of an ageing Australia. In: Research Report Productivity Commission, Canberra. Australian Government, Canberra
Mau W, Bornmann M, Weber H, Weidemann HF, Hecker H, Raspe HH (1996) Prediction of permanent work disability in a follow-up study of early rheumatoid arthritis: results of a tree structured analysis using RECPAM. Br J Rheumatol 35:652–659
Lacaille D, Sheps S, Spinelli JJ, Chalmers A, Esdaile JM (2004) Identification of modifiable work-related factors that influence the risk of work disability in rheumatoid arthritis. Arthritis Rheum 51(5):843–852
Wolfe F, Hawley DJ (1998) The long term outcomes of rheumatoid arthritis: work disability—a prospective 18-year study of 823 patients. J Rheumatol 25(11):2108–2117
Yelin E, Katz P, Lubeck D, Wanke L, Buatti M (2001) Impact of etanercept (Enbrel®) on health care use and employment in early RA. Arthritis Rheum 44(Supplement 9):152
Puolakka K, Kautiainen H, Mottonen T, Hannonen P, Korpela M, Julkunen H, Luukkainen R, Vuori K, Paimela L, Blafield H, Hakala M, Leirisalo-Repo M (2004) Impact of initial aggressive drug treatment with a combination of disease-modifying antirheumatic drugs on the development of work disability in early rheumatoid arthritis: a 5-year randomized followup trial. Arthritis Rheum 50(1):55–62
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The development of the microsimulation model used in the research, Health&WealthMOD, is funded by the Australian Research Council (Under Grant LP07749193), and Pfizer Australia is a partner to the grant. However, all authors are independent from the funding sources.
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Schofield, D.J., Callander, E.J., Shrestha, R.N. et al. Labour force participation and the influence of having arthritis on financial status. Rheumatol Int 35, 1175–1181 (2015). https://doi.org/10.1007/s00296-015-3224-2
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DOI: https://doi.org/10.1007/s00296-015-3224-2