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疾病严重程度在疾病负担框架中日益重要。

The increasing significance of disease severity in a burden of disease framework.

机构信息

Place and Wellbeing Directorate, Public Health Scotland, UK.

National Institute of Health Dr Ricardo Jorge, Portugal.

出版信息

Scand J Public Health. 2023 Mar;51(2):296-300. doi: 10.1177/14034948211024478. Epub 2021 Jul 2.

Abstract

Recent estimates have reiterated that non-fatal causes of disease, such as low back pain, headaches and depressive disorders, are amongst the leading causes of disability-adjusted life years (DALYs). For these causes, the contribution of years lived with disability (YLD) - put simply, ill-health - is what drives DALYs, not mortality. Being able to monitor trends in YLD closely is particularly relevant for countries that sit high on the socio-demographic spectrum of development, as it contributes more than half of all DALYs. There is a paucity of data on how the population-level occurrence of disease is distributed according to severity, and as such, the majority of global and national efforts in monitoring YLD lack the ability to differentiate changes in severity across time and location. This raises uncertainties in interpreting these findings without triangulation with other relevant data sources. Our commentary aims to bring this issue to the forefront for users of burden of disease estimates, as its impact is often easily overlooked as part of the fundamental process of generating DALY estimates. Moreover, the wider health harms of the COVID-19 pandemic have underlined the likelihood of latent and delayed demand in accessing vital health and care services that will ultimately lead to exacerbated disease severity and health outcomes. This places increased importance on attempts to be able to differentiate by both the occurrence and severity of disease.

摘要

最近的估计再次强调,非致命疾病原因,如腰痛、头痛和抑郁障碍,是导致伤残调整生命年(DALYs)的主要原因之一。对于这些原因,导致 DALYs 的是伤残年(YLD)的贡献——简单地说,就是健康不良,而不是死亡率。对于处于发展社会人口学谱高位的国家来说,密切监测 YLD 的趋势尤为重要,因为 YLD 占所有 DALYs 的一半以上。关于疾病在人群中的严重程度分布的数据很少,因此,大多数监测 YLD 的全球和国家工作都缺乏区分不同时间和地点严重程度变化的能力。如果没有与其他相关数据源进行三角剖分,那么在解释这些发现时就会存在不确定性。我们的评论旨在将这个问题提上疾病负担估计使用者的议事日程,因为在生成 DALY 估计的基本过程中,它的影响往往很容易被忽视。此外,COVID-19 大流行对更广泛的健康危害突出表明,人们可能会潜在地、延迟地需要获得重要的卫生和保健服务,这最终将导致疾病严重程度和健康结果恶化。这使得能够区分疾病的发生和严重程度变得更加重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dfc/9969303/e2e39679cadd/10.1177_14034948211024478-fig1.jpg

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