Cargando…
The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model
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 c...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588908/ https://www.ncbi.nlm.nih.gov/pubmed/31226965 http://dx.doi.org/10.1186/s12889-019-7086-5 |
_version_ | 1783429304000970752 |
---|---|
author | Schofield, Deborah Cunich, Michelle Shrestha, Rupendra Passey, Megan Veerman, Lennert Tanton, Robert Kelly, Simon |
author_facet | Schofield, Deborah Cunich, Michelle Shrestha, Rupendra Passey, Megan Veerman, Lennert Tanton, Robert Kelly, Simon |
author_sort | Schofield, Deborah |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6588908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65889082019-07-08 The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model Schofield, Deborah Cunich, Michelle Shrestha, Rupendra Passey, Megan Veerman, Lennert Tanton, Robert Kelly, Simon BMC Public Health Research Article 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. BioMed Central 2019-06-21 /pmc/articles/PMC6588908/ /pubmed/31226965 http://dx.doi.org/10.1186/s12889-019-7086-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Schofield, Deborah Cunich, Michelle Shrestha, Rupendra Passey, Megan Veerman, Lennert Tanton, Robert Kelly, Simon The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model |
title | The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model |
title_full | The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model |
title_fullStr | The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model |
title_full_unstemmed | The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model |
title_short | The indirect costs of ischemic heart disease through lost productive life years for Australia from 2015 to 2030: results from a microsimulation model |
title_sort | indirect costs of ischemic heart disease through lost productive life years for australia from 2015 to 2030: results from a microsimulation model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588908/ https://www.ncbi.nlm.nih.gov/pubmed/31226965 http://dx.doi.org/10.1186/s12889-019-7086-5 |
work_keys_str_mv | AT schofielddeborah theindirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT cunichmichelle theindirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT shrestharupendra theindirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT passeymegan theindirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT veermanlennert theindirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT tantonrobert theindirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT kellysimon theindirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT schofielddeborah indirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT cunichmichelle indirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT shrestharupendra indirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT passeymegan indirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT veermanlennert indirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT tantonrobert indirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel AT kellysimon indirectcostsofischemicheartdiseasethroughlostproductivelifeyearsforaustraliafrom2015to2030resultsfromamicrosimulationmodel |