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Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups

BACKGROUND: Cardiovascular disease (CVD) is the single largest contributor to global mortality. Premature mortality due to CVD results in a loss of productivity, with associated economic and policy implications that are often overlooked. METHODS: A human capital approach was adopted to project the l...

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Autores principales: Carter, Hannah Elizabeth, Schofield, Deborah, Shrestha, Rupendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443138/
https://www.ncbi.nlm.nih.gov/pubmed/30997129
http://dx.doi.org/10.1136/openhrt-2018-000939
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author Carter, Hannah Elizabeth
Schofield, Deborah
Shrestha, Rupendra
author_facet Carter, Hannah Elizabeth
Schofield, Deborah
Shrestha, Rupendra
author_sort Carter, Hannah Elizabeth
collection PubMed
description BACKGROUND: Cardiovascular disease (CVD) is the single largest contributor to global mortality. Premature mortality due to CVD results in a loss of productivity, with associated economic and policy implications that are often overlooked. METHODS: A human capital approach was adopted to project the long-term impacts of Australian CVD deaths in 2003 on labour force participation and the present value of lifetime income (PVLI) forgone. Impacts were modelled to the year 2030 and accounted for individual characteristics at the time of death including age, sex and socioeconomic status. RESULTS: Premature deaths due to CVD in 2003 accounted for 51 659 working years and $2.69 billion in PVLI forgone when modelled to 2030 (95% CI $2.63 billion to $2.75 billion). The labour force impacts were highest for individuals aged between 35 and 64 at the time of death, and male deaths accounted for 87% of the total PVLI loss. The most costly disease type was ischaemic heart disease, followed by stroke and inflammatory heart disease. Deaths occurring in individuals residing in the most socioeconomically disadvantaged areas at the time of death had a disproportionately large impact on the total PVLI loss. CONCLUSIONS: This study quantifies the relative productivity costs of CVD mortality across a range of disease types and socioeconomic groups. The magnitude of these costs highlights the scope for investments in effective healthcare interventions to provide positive economic returns and may assist decision makers in allocating resources among competing priorities.
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spelling pubmed-64431382019-04-17 Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups Carter, Hannah Elizabeth Schofield, Deborah Shrestha, Rupendra Open Heart Health Care Delivery, Economics and Global Health Care BACKGROUND: Cardiovascular disease (CVD) is the single largest contributor to global mortality. Premature mortality due to CVD results in a loss of productivity, with associated economic and policy implications that are often overlooked. METHODS: A human capital approach was adopted to project the long-term impacts of Australian CVD deaths in 2003 on labour force participation and the present value of lifetime income (PVLI) forgone. Impacts were modelled to the year 2030 and accounted for individual characteristics at the time of death including age, sex and socioeconomic status. RESULTS: Premature deaths due to CVD in 2003 accounted for 51 659 working years and $2.69 billion in PVLI forgone when modelled to 2030 (95% CI $2.63 billion to $2.75 billion). The labour force impacts were highest for individuals aged between 35 and 64 at the time of death, and male deaths accounted for 87% of the total PVLI loss. The most costly disease type was ischaemic heart disease, followed by stroke and inflammatory heart disease. Deaths occurring in individuals residing in the most socioeconomically disadvantaged areas at the time of death had a disproportionately large impact on the total PVLI loss. CONCLUSIONS: This study quantifies the relative productivity costs of CVD mortality across a range of disease types and socioeconomic groups. The magnitude of these costs highlights the scope for investments in effective healthcare interventions to provide positive economic returns and may assist decision makers in allocating resources among competing priorities. BMJ Publishing Group 2019-02-16 /pmc/articles/PMC6443138/ /pubmed/30997129 http://dx.doi.org/10.1136/openhrt-2018-000939 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Health Care Delivery, Economics and Global Health Care
Carter, Hannah Elizabeth
Schofield, Deborah
Shrestha, Rupendra
Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups
title Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups
title_full Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups
title_fullStr Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups
title_full_unstemmed Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups
title_short Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups
title_sort productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups
topic Health Care Delivery, Economics and Global Health Care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443138/
https://www.ncbi.nlm.nih.gov/pubmed/30997129
http://dx.doi.org/10.1136/openhrt-2018-000939
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