The costs of diabetes among Australians aged 45 – 64 years from 2015 to 2030: projections of productive life years (PLYs), lost personal income, lost taxation revenue, extra welfare payments and lost gross domestic product from HealthWealthMOD2030

Deborah Schofield, Rupendra Shrestha, Michelle Cunich, Megan Passey, J Veerman, Robert TANTON, Simon Kelly

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    Objectives To project the number of people aged 45–64 years with lost productive life years (PLYs) due to diabetes and related costs (lost income, extra welfare payments, lost taxation revenue); and lost gross domestic product (GDP) attributable to diabetes in Australia from 2015 to 2030. Design A simulation study of how the number of people aged 45–64 years with diabetes increases over time (based on population growth and disease trend data) and the economic losses incurred by individuals and the government. Cross-sectional outputs of a microsimulation model (HealthWealthMOD2030) which used the Australian Bureau of Statistics’ Survey of Disability, Ageing and Carers 2003 and 2009 as a base population and integrated outputs from two microsimulation models (Static Incomes Model and Australian Population and Policy Simulation Model), Treasury's population and labour force projections, and chronic disease trends data. Setting Australian population aged 45–64 years in 2015, 2020, 2025 and 2030. Outcome measures Lost PLYs, lost income, extra welfare payments, lost taxation revenue, lost GDP. Results 18 100 people are out of the labour force due to diabetes in 2015, increasing to 21 400 in 2030 (18% increase). National costs consisted of a loss of $A467 million in annual income in 2015, increasing to $A807 million in 2030 (73% increase). For the government, extra annual welfare payments increased from $A311 million in 2015 to $A350 million in 2030 (13% increase); and lost annual taxation revenue increased from $A102 million in 2015 to $A166 million in 2030 (63% increase). A loss of $A2.1 billion in GDP was projected for 2015, increasing to $A2.9 billion in 2030 attributable to diabetes through its impact on PLYs. Conclusions Individuals incur significant costs of diabetes through lost PLYs and lost income in addition to disease burden through human suffering and healthcare costs. The government incurs extra welfare payments, lost taxation revenue and lost GDP, along with direct healthcare costs.
    Original languageEnglish
    Pages (from-to)1-11
    Number of pages11
    JournalBMJ Open
    Volume7
    Issue number1
    DOIs
    Publication statusPublished - 2017

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    Cite this

    @article{70a7aadb1e6142408be19085e4afa109,
    title = "The costs of diabetes among Australians aged 45 – 64 years from 2015 to 2030: projections of productive life years (PLYs), lost personal income, lost taxation revenue, extra welfare payments and lost gross domestic product from HealthWealthMOD2030",
    abstract = "Objectives To project the number of people aged 45–64 years with lost productive life years (PLYs) due to diabetes and related costs (lost income, extra welfare payments, lost taxation revenue); and lost gross domestic product (GDP) attributable to diabetes in Australia from 2015 to 2030. Design A simulation study of how the number of people aged 45–64 years with diabetes increases over time (based on population growth and disease trend data) and the economic losses incurred by individuals and the government. Cross-sectional outputs of a microsimulation model (HealthWealthMOD2030) which used the Australian Bureau of Statistics’ Survey of Disability, Ageing and Carers 2003 and 2009 as a base population and integrated outputs from two microsimulation models (Static Incomes Model and Australian Population and Policy Simulation Model), Treasury's population and labour force projections, and chronic disease trends data. Setting Australian population aged 45–64 years in 2015, 2020, 2025 and 2030. Outcome measures Lost PLYs, lost income, extra welfare payments, lost taxation revenue, lost GDP. Results 18 100 people are out of the labour force due to diabetes in 2015, increasing to 21 400 in 2030 (18{\%} increase). National costs consisted of a loss of $A467 million in annual income in 2015, increasing to $A807 million in 2030 (73{\%} increase). For the government, extra annual welfare payments increased from $A311 million in 2015 to $A350 million in 2030 (13{\%} increase); and lost annual taxation revenue increased from $A102 million in 2015 to $A166 million in 2030 (63{\%} increase). A loss of $A2.1 billion in GDP was projected for 2015, increasing to $A2.9 billion in 2030 attributable to diabetes through its impact on PLYs. Conclusions Individuals incur significant costs of diabetes through lost PLYs and lost income in addition to disease burden through human suffering and healthcare costs. The government incurs extra welfare payments, lost taxation revenue and lost GDP, along with direct healthcare costs.",
    author = "Deborah Schofield and Rupendra Shrestha and Michelle Cunich and Megan Passey and J Veerman and Robert TANTON and Simon Kelly",
    year = "2017",
    doi = "10.1136/bmjopen-2016-013158",
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    pages = "1--11",
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    The costs of diabetes among Australians aged 45 – 64 years from 2015 to 2030: projections of productive life years (PLYs), lost personal income, lost taxation revenue, extra welfare payments and lost gross domestic product from HealthWealthMOD2030. / Schofield, Deborah; Shrestha, Rupendra; Cunich, Michelle; Passey, Megan; Veerman, J; TANTON, Robert; Kelly, Simon.

    In: BMJ Open, Vol. 7, No. 1, 2017, p. 1-11.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - The costs of diabetes among Australians aged 45 – 64 years from 2015 to 2030: projections of productive life years (PLYs), lost personal income, lost taxation revenue, extra welfare payments and lost gross domestic product from HealthWealthMOD2030

    AU - Schofield, Deborah

    AU - Shrestha, Rupendra

    AU - Cunich, Michelle

    AU - Passey, Megan

    AU - Veerman, J

    AU - TANTON, Robert

    AU - Kelly, Simon

    PY - 2017

    Y1 - 2017

    N2 - Objectives To project the number of people aged 45–64 years with lost productive life years (PLYs) due to diabetes and related costs (lost income, extra welfare payments, lost taxation revenue); and lost gross domestic product (GDP) attributable to diabetes in Australia from 2015 to 2030. Design A simulation study of how the number of people aged 45–64 years with diabetes increases over time (based on population growth and disease trend data) and the economic losses incurred by individuals and the government. Cross-sectional outputs of a microsimulation model (HealthWealthMOD2030) which used the Australian Bureau of Statistics’ Survey of Disability, Ageing and Carers 2003 and 2009 as a base population and integrated outputs from two microsimulation models (Static Incomes Model and Australian Population and Policy Simulation Model), Treasury's population and labour force projections, and chronic disease trends data. Setting Australian population aged 45–64 years in 2015, 2020, 2025 and 2030. Outcome measures Lost PLYs, lost income, extra welfare payments, lost taxation revenue, lost GDP. Results 18 100 people are out of the labour force due to diabetes in 2015, increasing to 21 400 in 2030 (18% increase). National costs consisted of a loss of $A467 million in annual income in 2015, increasing to $A807 million in 2030 (73% increase). For the government, extra annual welfare payments increased from $A311 million in 2015 to $A350 million in 2030 (13% increase); and lost annual taxation revenue increased from $A102 million in 2015 to $A166 million in 2030 (63% increase). A loss of $A2.1 billion in GDP was projected for 2015, increasing to $A2.9 billion in 2030 attributable to diabetes through its impact on PLYs. Conclusions Individuals incur significant costs of diabetes through lost PLYs and lost income in addition to disease burden through human suffering and healthcare costs. The government incurs extra welfare payments, lost taxation revenue and lost GDP, along with direct healthcare costs.

    AB - Objectives To project the number of people aged 45–64 years with lost productive life years (PLYs) due to diabetes and related costs (lost income, extra welfare payments, lost taxation revenue); and lost gross domestic product (GDP) attributable to diabetes in Australia from 2015 to 2030. Design A simulation study of how the number of people aged 45–64 years with diabetes increases over time (based on population growth and disease trend data) and the economic losses incurred by individuals and the government. Cross-sectional outputs of a microsimulation model (HealthWealthMOD2030) which used the Australian Bureau of Statistics’ Survey of Disability, Ageing and Carers 2003 and 2009 as a base population and integrated outputs from two microsimulation models (Static Incomes Model and Australian Population and Policy Simulation Model), Treasury's population and labour force projections, and chronic disease trends data. Setting Australian population aged 45–64 years in 2015, 2020, 2025 and 2030. Outcome measures Lost PLYs, lost income, extra welfare payments, lost taxation revenue, lost GDP. Results 18 100 people are out of the labour force due to diabetes in 2015, increasing to 21 400 in 2030 (18% increase). National costs consisted of a loss of $A467 million in annual income in 2015, increasing to $A807 million in 2030 (73% increase). For the government, extra annual welfare payments increased from $A311 million in 2015 to $A350 million in 2030 (13% increase); and lost annual taxation revenue increased from $A102 million in 2015 to $A166 million in 2030 (63% increase). A loss of $A2.1 billion in GDP was projected for 2015, increasing to $A2.9 billion in 2030 attributable to diabetes through its impact on PLYs. Conclusions Individuals incur significant costs of diabetes through lost PLYs and lost income in addition to disease burden through human suffering and healthcare costs. The government incurs extra welfare payments, lost taxation revenue and lost GDP, along with direct healthcare costs.

    U2 - 10.1136/bmjopen-2016-013158

    DO - 10.1136/bmjopen-2016-013158

    M3 - Article

    VL - 7

    SP - 1

    EP - 11

    JO - BMJ Open

    JF - BMJ Open

    SN - 2044-6055

    IS - 1

    ER -