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心血管疾病死亡率在不同疾病类型和社会经济群体中的生产力损失。

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

机构信息

Australian Centre for Health Services Innovation, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia.

Centre for Economic Impacts of Genomic Medicine, Macquarie University, Sydney, New South Wales, Australia.

出版信息

Open Heart. 2019 Feb 16;6(1):e000939. doi: 10.1136/openhrt-2018-000939. eCollection 2019.

Abstract

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.

摘要

背景

心血管疾病(CVD)是全球死亡率的最大单一因素。由于 CVD 导致的过早死亡导致生产力丧失,其带来的经济和政策影响往往被忽视。

方法

采用人力资本方法来预测 2003 年澳大利亚 CVD 死亡对劳动力参与率和终身收入现值(PVLI)损失的长期影响。影响被建模到 2030 年,并考虑了死亡时的个体特征,包括年龄、性别和社会经济地位。

结果

2003 年因 CVD 过早死亡导致 51659 个工作年和 26.9 亿美元的 PVLI 损失,到 2030 年建模时(95%CI 26.3 亿美元至 2.75 亿美元)。在死亡时年龄在 35 至 64 岁之间的个体劳动力影响最大,男性死亡占总 PVLI 损失的 87%。最昂贵的疾病类型是缺血性心脏病,其次是中风和炎症性心脏病。在死亡时居住在社会经济最不利地区的个体中发生的死亡对总 PVLI 损失的影响不成比例。

结论

本研究量化了一系列疾病类型和社会经济群体中 CVD 死亡率的相对生产力成本。这些成本的规模突显了对有效医疗干预措施进行投资以提供积极的经济回报的范围,并可能有助于决策者在竞争的优先事项之间分配资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf4c/6443138/a0aacfdd5f1a/openhrt-2018-000939f01.jpg

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