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[Utilizing Routine Health Insurance Data for Calculation of Disease Frequencies in the Project BURDEN 2020].[利用常规健康保险数据计算2020年疾病负担项目中的疾病发生率]
Gesundheitswesen. 2023 Mar;85(S 02):S101-S110. doi: 10.1055/a-1806-2115. Epub 2022 Jun 23.
2
Is treatment in certified cancer centers related to better survival in patients with pancreatic cancer? Evidence from a large German cohort study.在胰腺癌患者中,接受认证癌症中心的治疗是否与更好的生存结果相关?来自一项大型德国队列研究的证据。
BMC Cancer. 2022 Jun 7;22(1):621. doi: 10.1186/s12885-022-09731-w.
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The increasing significance of disease severity in a burden of disease framework.疾病严重程度在疾病负担框架中日益重要。
Scand J Public Health. 2023 Mar;51(2):296-300. doi: 10.1177/14034948211024478. Epub 2021 Jul 2.
4
Years of Life Lost to Death—A Comprehensive Analysis of Mortality in Germany Conducted as Part of the BURDEN 2020 Project.因死亡而损失的寿命年数——作为2020年疾病负担项目一部分对德国死亡率进行的综合分析。
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Redistributing ill-defined causes of death - a case study from the BURDEN 2020-project in Germany.重新分配死因不明的情况——来自德国2020年疾病负担项目的一个案例研究。
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[The baseline assessment of the German National Cohort (NAKO Gesundheitsstudie): participation in the examination modules, quality assurance, and the use of secondary data].[德国国家队列研究(NAKO健康研究)的基线评估:参与检查模块、质量保证及二次数据的使用]
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德国的国家和地区疾病负担

The Burden of Disease in Germany at the National and Regional Level.

机构信息

Robert Koch Institute, Department 2, Epidemiology and Health Monitoring, Berlin; AOK Research Institute (WIdO), Berlin; German Federal Environment Agency, Department II 1 Environmental Hygiene, Berlin; Robert Koch Institute, Department 3, Infectious Disease Epidemiology, Berlin.

出版信息

Dtsch Arztebl Int. 2022 Nov 18;119(46):785-792. doi: 10.3238/arztebl.m2022.0314.

DOI:10.3238/arztebl.m2022.0314
PMID:36350160
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9902892/
Abstract

BACKGROUND

.Summary measures such as disability-adjusted life years (DALY) are becoming increasingly important for the standardized assessment of the burden of disease due to death and disability. The BURDEN 2020 pilot project was designed as an independent burden-of-disease study for Germany, which was based on nationwide data, but which also yielded regional estimates.

METHODS

DALY is defined as the sum of years of life lost due to death (YLL) and years lived with disability (YLD). YLL is the difference between the age at death due to disease and the remaining life expectancy at this age, while YLD quantifies the number of years individuals have spent with health impairments. Data are derived mainly from causes of death statistics, population health surveys, and claims data from health insurers.

RESULTS

In 2017, there were approximately 12 million DALY in Germany, or 14 584 DALY per 100 000 inhabitants. Conditions which caused the greatest number of DALY were coronary heart disease (2321 DALY), low back pain (1735 DALY), and lung cancer (1197 DALY). Headache and dementia accounted for a greater disease burden in women than in men, while lung cancer and alcohol use disorders accounted for a greater disease burden in men than in women. Pain disorders and alcohol use disorders were the leading causes of DALY among young adults of both sexes. The disease burden rose with age for some diseases, including cardiovascular diseases, dementia, and diabetes mellitus. For some diseases and conditions, the disease burden varied by geographical region.

CONCLUSION

The results indicate a need for age- and sex-specific prevention and for differing interventions according to geographic region. Burden of disease studies yield comprehensive population health surveillance data and are a useful aid to decision-making in health policy.

摘要

背景

.由于死亡和残疾导致的疾病负担,残疾调整生命年(DALY)等综合衡量指标变得越来越重要。BURDEN 2020 试点项目是一项针对德国的独立疾病负担研究,该研究基于全国范围的数据,但也产生了区域估计值。

方法

DALY 定义为因死亡(YLL)和因残疾(YLD)而损失的生命年的总和。YLL 是疾病导致的死亡年龄与该年龄剩余预期寿命之间的差异,而 YLD 则量化了个体因健康受损而度过的年数。数据主要来自死因统计数据、人口健康调查以及健康保险公司的索赔数据。

结果

2017 年,德国约有 1200 万 DALY,即每 10 万人中有 14584 个 DALY。导致 DALY 数量最多的疾病是冠心病(2321 DALY)、下背痛(1735 DALY)和肺癌(1197 DALY)。头痛和痴呆症在女性中的疾病负担比男性更大,而肺癌和酒精使用障碍在男性中的疾病负担比女性更大。疼痛障碍和酒精使用障碍是男女青年 DALY 的主要原因。对于某些疾病,包括心血管疾病、痴呆症和糖尿病,疾病负担随着年龄的增长而增加。对于某些疾病和状况,疾病负担因地理位置而异。

结论

结果表明,需要针对特定年龄和性别的预防措施,并根据地理位置采取不同的干预措施。疾病负担研究提供了全面的人口健康监测数据,是卫生政策决策的有用辅助工具。