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Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia
BACKGROUND: Socioeconomic status has an important effect on cardiovascular disease (CVD). Data on the economic implications of CVD by socioeconomic status are needed to inform healthcare planning. OBJECTIVES: The aim of this study was to project new-onset CVD and related health economic outcomes in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761535/ https://www.ncbi.nlm.nih.gov/pubmed/35037191 http://dx.doi.org/10.1007/s40273-021-01127-1 |
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author | Hastings, Kaitlyn Marquina, Clara Morton, Jedidiah Abushanab, Dina Berkovic, Danielle Talic, Stella Zomer, Ella Liew, Danny Ademi, Zanfina |
author_facet | Hastings, Kaitlyn Marquina, Clara Morton, Jedidiah Abushanab, Dina Berkovic, Danielle Talic, Stella Zomer, Ella Liew, Danny Ademi, Zanfina |
author_sort | Hastings, Kaitlyn |
collection | PubMed |
description | BACKGROUND: Socioeconomic status has an important effect on cardiovascular disease (CVD). Data on the economic implications of CVD by socioeconomic status are needed to inform healthcare planning. OBJECTIVES: The aim of this study was to project new-onset CVD and related health economic outcomes in Australia by socioeconomic status from 2021 to 2030. METHODS: A dynamic population model was built to project annual new-onset CVD by socioeconomic quintile in Australians aged 40–79 years from 2021 to 2030. Cardiovascular risk was estimated using the Pooled Cohort Equation (PCE) from Australian-specific data, stratified for each socioeconomic quintile. The model projected years of life lived, quality- adjusted life-years (QALYs), acute healthcare medical costs, and productivity losses due to new-onset CVD. All outcomes were discounted by 5% annually. RESULTS: PCE estimates showed that 8.4% of people in the most disadvantaged quintile were at high risk of CVD, compared with 3.7% in the least disadvantaged quintile (p < 0.001). From 2021 to 2030, the model projected 32% more cardiovascular events in the most disadvantaged quintile compared with the least disadvantaged (127,070 in SE 1 vs. 96,222 in SE 5). Acute healthcare costs in the most disadvantaged quintile were Australian dollars (AU$) 183 million higher than the least disadvantaged, and the difference in productivity costs was AU$959 million. Removing the equity gap (by applying the cardiovascular risk from the least disadvantaged quintile to the whole population) would prevent 114,822 cardiovascular events and save AU$704 million of healthcare costs and AU$3844 million of lost earnings over the next 10 years. CONCLUSION: Our results highlight the pressing need to implement primary prevention interventions to reduce cardiovascular health inequity. This model provides a platform to incorporate socioeconomic status into health economic models by estimating which interventions are likely to yield more benefits in each socioeconomic quintile. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-021-01127-1. |
format | Online Article Text |
id | pubmed-8761535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-87615352022-01-18 Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia Hastings, Kaitlyn Marquina, Clara Morton, Jedidiah Abushanab, Dina Berkovic, Danielle Talic, Stella Zomer, Ella Liew, Danny Ademi, Zanfina Pharmacoeconomics Original Research Article BACKGROUND: Socioeconomic status has an important effect on cardiovascular disease (CVD). Data on the economic implications of CVD by socioeconomic status are needed to inform healthcare planning. OBJECTIVES: The aim of this study was to project new-onset CVD and related health economic outcomes in Australia by socioeconomic status from 2021 to 2030. METHODS: A dynamic population model was built to project annual new-onset CVD by socioeconomic quintile in Australians aged 40–79 years from 2021 to 2030. Cardiovascular risk was estimated using the Pooled Cohort Equation (PCE) from Australian-specific data, stratified for each socioeconomic quintile. The model projected years of life lived, quality- adjusted life-years (QALYs), acute healthcare medical costs, and productivity losses due to new-onset CVD. All outcomes were discounted by 5% annually. RESULTS: PCE estimates showed that 8.4% of people in the most disadvantaged quintile were at high risk of CVD, compared with 3.7% in the least disadvantaged quintile (p < 0.001). From 2021 to 2030, the model projected 32% more cardiovascular events in the most disadvantaged quintile compared with the least disadvantaged (127,070 in SE 1 vs. 96,222 in SE 5). Acute healthcare costs in the most disadvantaged quintile were Australian dollars (AU$) 183 million higher than the least disadvantaged, and the difference in productivity costs was AU$959 million. Removing the equity gap (by applying the cardiovascular risk from the least disadvantaged quintile to the whole population) would prevent 114,822 cardiovascular events and save AU$704 million of healthcare costs and AU$3844 million of lost earnings over the next 10 years. CONCLUSION: Our results highlight the pressing need to implement primary prevention interventions to reduce cardiovascular health inequity. This model provides a platform to incorporate socioeconomic status into health economic models by estimating which interventions are likely to yield more benefits in each socioeconomic quintile. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-021-01127-1. Springer International Publishing 2022-01-17 2022 /pmc/articles/PMC8761535/ /pubmed/35037191 http://dx.doi.org/10.1007/s40273-021-01127-1 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Article Hastings, Kaitlyn Marquina, Clara Morton, Jedidiah Abushanab, Dina Berkovic, Danielle Talic, Stella Zomer, Ella Liew, Danny Ademi, Zanfina Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia |
title | Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia |
title_full | Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia |
title_fullStr | Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia |
title_full_unstemmed | Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia |
title_short | Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia |
title_sort | projected new-onset cardiovascular disease by socioeconomic group in australia |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761535/ https://www.ncbi.nlm.nih.gov/pubmed/35037191 http://dx.doi.org/10.1007/s40273-021-01127-1 |
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