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The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model

AIM: To estimate the productivity costs of premature mortality due to cancer in Australia, in aggregate and for the 26 most prevalent cancer sites. METHODS: A human capital approach was adopted to estimate the long term impacts of Australian cancer deaths in 2003. Using population mortality data, th...

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Detalles Bibliográficos
Autores principales: Carter, Hannah E., Schofield, Deborah J., Shrestha, Rupendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5152930/
https://www.ncbi.nlm.nih.gov/pubmed/27942032
http://dx.doi.org/10.1371/journal.pone.0167521
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author Carter, Hannah E.
Schofield, Deborah J.
Shrestha, Rupendra
author_facet Carter, Hannah E.
Schofield, Deborah J.
Shrestha, Rupendra
author_sort Carter, Hannah E.
collection PubMed
description AIM: To estimate the productivity costs of premature mortality due to cancer in Australia, in aggregate and for the 26 most prevalent cancer sites. METHODS: A human capital approach was adopted to estimate the long term impacts of Australian cancer deaths in 2003. Using population mortality data, the labour force participation and the present value of lifetime income (PVLI) forgone due to premature mortality was estimated based on individual characteristics at the time of death including age, sex and socioeconomic status. Outcomes were modelled to the year 2030 using economic data from a national microsimulation model. A discount rate of 3% was applied and costs were reported in 2016 Australian dollars. RESULTS: Premature deaths from cancer in 2003 resulted in 88,000 working years lost and a cost of $4.2 billion in the PVLI forgone. Costs were close to three times higher in males than females due to the higher number of premature deaths in men, combined with higher levels of workforce participation and income. Lung, colorectal and brain cancers accounted for the highest proportion of costs, while testicular cancer was the most costly cancer site per death. CONCLUSIONS: The productivity costs of premature mortality due to cancer are significant. These results provide an economic measure of the cancer burden which may assist decision makers in allocating scare resources amongst competing priorities.
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spelling pubmed-51529302016-12-28 The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model Carter, Hannah E. Schofield, Deborah J. Shrestha, Rupendra PLoS One Research Article AIM: To estimate the productivity costs of premature mortality due to cancer in Australia, in aggregate and for the 26 most prevalent cancer sites. METHODS: A human capital approach was adopted to estimate the long term impacts of Australian cancer deaths in 2003. Using population mortality data, the labour force participation and the present value of lifetime income (PVLI) forgone due to premature mortality was estimated based on individual characteristics at the time of death including age, sex and socioeconomic status. Outcomes were modelled to the year 2030 using economic data from a national microsimulation model. A discount rate of 3% was applied and costs were reported in 2016 Australian dollars. RESULTS: Premature deaths from cancer in 2003 resulted in 88,000 working years lost and a cost of $4.2 billion in the PVLI forgone. Costs were close to three times higher in males than females due to the higher number of premature deaths in men, combined with higher levels of workforce participation and income. Lung, colorectal and brain cancers accounted for the highest proportion of costs, while testicular cancer was the most costly cancer site per death. CONCLUSIONS: The productivity costs of premature mortality due to cancer are significant. These results provide an economic measure of the cancer burden which may assist decision makers in allocating scare resources amongst competing priorities. Public Library of Science 2016-12-12 /pmc/articles/PMC5152930/ /pubmed/27942032 http://dx.doi.org/10.1371/journal.pone.0167521 Text en © 2016 Carter et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Carter, Hannah E.
Schofield, Deborah J.
Shrestha, Rupendra
The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model
title The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model
title_full The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model
title_fullStr The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model
title_full_unstemmed The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model
title_short The Productivity Costs of Premature Mortality Due to Cancer in Australia: Evidence from a Microsimulation Model
title_sort productivity costs of premature mortality due to cancer in australia: evidence from a microsimulation model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5152930/
https://www.ncbi.nlm.nih.gov/pubmed/27942032
http://dx.doi.org/10.1371/journal.pone.0167521
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