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2018-08-06Zeitschriftenartikel DOI: 10.25646/6910
BURDEN 2020—Burden of disease in Germany at the national and regional level
dc.contributor.authorRommel, Alexander
dc.contributor.authorvon der Lippe, Elena
dc.contributor.authorPlaß, Dietrich
dc.contributor.authorWengler, Annelene
dc.contributor.authorAnton, Aline
dc.contributor.authorSchmidt, Christian
dc.contributor.authorSchüssel, Katrin
dc.contributor.authorBrückner, Gabriela
dc.contributor.authorSchröder, Helmut
dc.contributor.authorPorst, Michael
dc.contributor.authorLeddin, Janko
dc.contributor.authorTobollik, Myriam
dc.contributor.authorBaumert, Jens
dc.contributor.authorScheidt-Nave, Christa
dc.contributor.authorZiese, Thomas
dc.date.accessioned2020-05-27T06:25:23Z
dc.date.available2020-05-27T06:25:23Z
dc.date.issued2018-08-06none
dc.identifier.other10.1007/s00103-018-2793-0
dc.identifier.urihttp://edoc.rki.de/176904/6798
dc.description.abstractBackground Evidence-based policy measures need non-interest-guided information about the health status of a population and the diseases that affect the population the most. In such cases, a national burden of disease study can provide reliable insights at the regional level. Aim This article presents the potential of the BURDEN 2020 project and its expected outcome for Germany at the national and regional level. Methods The BURDEN 2020 project uses several indicators including years of life lost (YLL) to cover the impact of mortality and years lived with disability (YLD) to cover morbidity. The sum of both is the measure of population health called disability adjusted life years (DALY). Results The study ranks individual diseases and risk factors based on their impact on population health. The burden of disease approach is assumed to be sensitive to subnational differences and may generate immediate benefits for regional planning. The BURDEN 2020 study will pilot a national burden of disease study for Germany that will later be transformed into a continuous data processing and visualization tool. This is done by using, modifying and supplementing the methodology employed by the Global Burden of Disease (GBD) study to better fit the needs of health policy in Germany. This study is aimed at calculating the disease burden for up to 17 preselected diseases. Furthermore, the estimates of burden of disease are attributed to a selected set of risk factors. Conclusion The Burden 2020 study will provide the results of a new, health-related data processing system to the public. This includes a noninterest-guided presentation of the burden of disease (DALY) in Germany at the national and regional level.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.subjectBurden of diseaseeng
dc.subjectDisability adjusted life yearseng
dc.subjectNon-communicable diseaseseng
dc.subjectHealth policy planningeng
dc.subjectRegional prevalenceeng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleBURDEN 2020—Burden of disease in Germany at the national and regional levelnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:0257-176904/6798-9
dc.identifier.doihttp://dx.doi.org/10.25646/6910
dc.type.versionpublishedVersionnone
local.edoc.container-titleBundesgesundheitsblattnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://link.springer.com/article/10.1007/s00103-018-2793-0none
local.edoc.container-publisher-nameSpringernone
local.edoc.container-volume2018none
local.edoc.container-issue61none
local.edoc.container-year2018none
local.edoc.container-firstpage1159none
local.edoc.container-lastpage1166none
local.edoc.rki-departmentEpidemiologie und Gesundheitsmonitoringnone
dc.description.versionPeer Reviewednone

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