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      Economic costs of chronic disease through lost productive life years (PLYs) among Australians aged 45–64 years from 2015 to 2030: results from a microsimulation model

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          Abstract

          Objectives

          To project the number of older workers with lost productive life years (PLYs) due to chronic disease and resultant lost income; and lost taxes and increased welfare payments from 2015 to 2030.

          Design, setting and participants

          Using a microsimulation model, Health&WealthMOD2030, the costs of chronic disease in Australians aged 45–64 were projected to 2030. The model integrates household survey data from the Australian Bureau of Statistics Surveys of Disability, Ageing and Carers (SDACs) 2003 and 2009, output from long-standing microsimulation models (STINMOD (Static Incomes Model) and APPSIM (Australian Population and Policy Simulation Model)) used by various government departments, population and labour force growth data from Treasury, and disease trends data from the Australian Burden of Disease and Injury Study (2003). Respondents aged 45–64 years in the SDACs 2003 and 2009 formed the base population.

          Main outcome measures

          Lost PLYs due to chronic disease; resultant lost income, lost taxes and increased welfare payments in 2015, 2020, 2025 and 2030.

          Results

          We projected 380 000 (6.4%) people aged 45–64 years with lost PLYs in 2015, increasing to 462 000 (6.5%) in 2030—a 22% increase in absolute numbers. Those with lost PLYs experience the largest reduction in income than any other group in each year compared to those employed full time without a chronic disease, and this income gap widens over time. The total economic loss due to lost PLYs consisted of lost income modelled at $A12.6 billion in 2015, increasing to $A20.5 billion in 2030—a 62.7% increase. Additional costs to the government consisted of increased welfare payments at $A6.2 billion in 2015, increasing to $A7.3 billion in 2030—a 17.7% increase; and a loss of $A3.1 billion in taxes in 2015, increasing to $A4.7 billion in 2030—a growth of 51.6%.

          Conclusions

          There is a need for greater investment in effective preventive health interventions which improve workers’ health and work capacity.

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          Most cited references6

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          The role of activity in the therapeutic management of back pain. Report of the International Paris Task Force on Back Pain.

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            Lost productive life years caused by chronic conditions in Australians aged 45-64 years, 2010-2030.

            To estimate (1) productive life years (PLYs) lost because of chronic conditions in Australians aged 45-64 years from 2010 to 2030, and (2) the impact of this loss on gross domestic product (GDP) over the same period.
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              • Article: not found

              The personal and national costs of early retirement because of spinal disorders: impacts on income, taxes, and government support payments.

              Spinal disorders can reduce an individual's ability to participate in the labor force, and this can lead to considerable impacts on both the individual and the state.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2016
                22 September 2016
                : 6
                : 9
                : e011151
                Affiliations
                [1 ]Faculty of Pharmacy, Charles Perkins Centre, The University of Sydney , Sydney, New South Wales, Australia
                [2 ]Murdoch Children's Research Institute, Royal Children's Hospital Flemington Road , Parkville, Victoria, Australia
                [3 ]Garvan Institute of Medical Research, Victoria Street, Darlinghurst, Sydney, New South Wales, Australia
                [4 ]National Centre for Social and Economic Modelling, University of Canberra , Canberra, Australian Capital Territory, Australia
                [5 ]Faculty of Medicine and Biomedical Sciences, School of Public Health, University of Queensland , Brisbane, Queensland, Australia
                [6 ]University Centre for Rural Health, School of Public Health, The University of Sydney , Lismore, New South Wales, Australia
                Author notes
                [Correspondence to ] Dr Michelle M Cunich; michelle.cunich@ 123456sydney.edu.au
                Author information
                http://orcid.org/0000-0001-5766-0235
                Article
                bmjopen-2016-011151
                10.1136/bmjopen-2016-011151
                5051341
                27660315
                42d6eb0d-7ffe-4c02-bbd4-8298eb48d434
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 15 January 2016
                : 20 July 2016
                : 31 August 2016
                Categories
                Public Health
                Research
                1506
                1724
                1701

                Medicine
                labour force participation,chronic disease,lost productive life years,indirect costs,income, welfare payments, tax,microsimulation modelling

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