TY - JOUR
T1 - The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030
T2 - Results from a microsimulation model
AU - Schofield, Deborah
AU - Cunich, Michelle
AU - Shrestha, Rupendra
AU - Passey, Megan
AU - Veerman, Lennert
AU - Tanton, Robert
AU - Kelly, Simon
PY - 2019/6/21
Y1 - 2019/6/21
N2 - Background: Most studies measure the impact of ischemic heart disease (IHD) on individuals using quality of life metrics such as disability-adjusted life-years (DALYs); however, IHD also has an enormous impact on productive life years (PLYs). The objective of this study was to project the indirect costs of IHD resulting from lost PLYs to older Australian workers (45-64 years), government, and society 2015-2030. Methods: Nationally representative data from the Surveys of Disability, Ageing and Carers (2003, 2009) were used to develop the base population in the microsimulation model (Health&WealthMOD2030), which integrated data from established microsimulation models (STINMOD, APPSIM), Treasury's population and workforce projections, and chronic conditions trends. Results: We projected that 6700 people aged 45-64 were out of the labour force due to IHD in 2015, increasing to 8100 in 2030 (21 increase). National costs consisted of a loss of AU$273 (US$263) million in income for people with IHD in 2015, increasing to AU$443 ($US426) million (62% increase). For the government, extra welfare payments increased from AU$106 (US$102) million in 2015 to AU$143 (US$138) million in 2030 (35% increase); and lost income tax revenue increased from AU$74 (US$71) million in 2015 to AU$117 (US$113) million in 2030 (58% increase). A loss of AU$785 (US$755) million in GDP was projected for 2015, increasing to AU$1125 (US$1082) million in 2030. Conclusions: Significant costs of IHD through lost productivity are incurred by individuals, the government, and society. The benefits of IHD interventions include not only improved health but also potentially economic benefits as workforce capacity.
AB - Background: Most studies measure the impact of ischemic heart disease (IHD) on individuals using quality of life metrics such as disability-adjusted life-years (DALYs); however, IHD also has an enormous impact on productive life years (PLYs). The objective of this study was to project the indirect costs of IHD resulting from lost PLYs to older Australian workers (45-64 years), government, and society 2015-2030. Methods: Nationally representative data from the Surveys of Disability, Ageing and Carers (2003, 2009) were used to develop the base population in the microsimulation model (Health&WealthMOD2030), which integrated data from established microsimulation models (STINMOD, APPSIM), Treasury's population and workforce projections, and chronic conditions trends. Results: We projected that 6700 people aged 45-64 were out of the labour force due to IHD in 2015, increasing to 8100 in 2030 (21 increase). National costs consisted of a loss of AU$273 (US$263) million in income for people with IHD in 2015, increasing to AU$443 ($US426) million (62% increase). For the government, extra welfare payments increased from AU$106 (US$102) million in 2015 to AU$143 (US$138) million in 2030 (35% increase); and lost income tax revenue increased from AU$74 (US$71) million in 2015 to AU$117 (US$113) million in 2030 (58% increase). A loss of AU$785 (US$755) million in GDP was projected for 2015, increasing to AU$1125 (US$1082) million in 2030. Conclusions: Significant costs of IHD through lost productivity are incurred by individuals, the government, and society. The benefits of IHD interventions include not only improved health but also potentially economic benefits as workforce capacity.
KW - Cardiovascular disease
KW - Income
KW - Indirect costs
KW - Ischemic heart disease
KW - Microsimulation
KW - Productivity
UR - http://www.scopus.com/inward/record.url?scp=85068510210&partnerID=8YFLogxK
U2 - 10.1186/s12889-019-7086-5
DO - 10.1186/s12889-019-7086-5
M3 - Article
C2 - 31226965
AN - SCOPUS:85068510210
SN - 1471-2458
VL - 19
SP - 1
EP - 13
JO - BMC Public Health
JF - BMC Public Health
M1 - 802
ER -