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2019-06-19Zeitschriftenartikel DOI: 10.25646/5988
Secondary data in diabetes surveillance – co-operation projects and definition of references on the documented prevalence of diabetes
dc.contributor.authorSchmidt, Christian
dc.contributor.authorHeidemann, Christin
dc.contributor.authorRommel, Alexander
dc.contributor.authorBrinks, Ralph
dc.contributor.authorClaessen, Heiner
dc.contributor.authorDreß, Jochen
dc.contributor.authorHagen, Bernd
dc.contributor.authorHoyer, Annika
dc.contributor.authorLaux, Gunter
dc.contributor.authorPollmanns, Johannes
dc.contributor.authorPräger, Maximilian
dc.contributor.authorBöhm, Julian
dc.contributor.authorDrösler, Saskia
dc.contributor.authorIcks, Andrea
dc.contributor.authorKümmel, Stephanie
dc.contributor.authorKurz, Christoph
dc.contributor.authorKvitkina, Tatjana
dc.contributor.authorLaxy, Michael
dc.contributor.authorMaier, Werner
dc.contributor.authorNarres, Maria
dc.contributor.authorSzecsenyi, Joachim
dc.contributor.authorTönnies, Thaddäus
dc.contributor.authorWeyermann, Maria
dc.contributor.authorPaprott, Rebecca
dc.contributor.authorReitzle, Lukas
dc.contributor.authorBaumert, Jens
dc.contributor.authorPatelakis, Eleni
dc.contributor.authorZiese, Thomas
dc.date.accessioned2019-03-22T06:25:17Z
dc.date.available2019-03-22T06:25:17Z
dc.date.issued2019-06-19none
dc.identifier.urihttp://edoc.rki.de/176904/6023
dc.description.abstractIn addition to the Robert Koch Institute’s health surveys, analyses of secondary data are essential to successfully developing a regular and comprehensive description of the progression of diabetes as part of the Robert Koch Institute’s diabetes surveillance. Mainly, this is due to the large sample size and the fact that secondary data are routinely collected, which allows for highly stratified analyses in short time intervals. The fragmented availability of data means that various sources of secondary data are required in order to provide data for the indicators in the four fields of action for diabetes surveillance. Thus, a milestone in the project was to check the suitability of different data sources for their usability and to carry out analyses. Against this backdrop, co-operation projects were specifically funded in the context of diabetes surveillance. This article presents the results that were achieved in co-operation projects between 2016 and 2018 that focused on a range of topics: from evaluating the usability of secondary data to statistically modelling the development of epidemiological indices. Moreover, based on the data of the around 70 million people covered by statutory health insurance, an initial estimate was calculated for the documented prevalence of type 2 diabetes for the years 2010 and 2011. To comparably integrate these prevalences over the years in diabetes surveillance, a reference definition was established with external expertise.eng
dc.language.isogernone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectDIABETES SURVEILLANCEeng
dc.subjectDIABETES MELLITUS
dc.subjectSECONDARY DATA
dc.subjectEPIDEMIOLOGY
dc.subjectPUBLIC HEALTH
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleSecondary data in diabetes surveillance – co-operation projects and definition of references on the documented prevalence of diabetesnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:0257-176904/6023-9
dc.identifier.doihttp://dx.doi.org/10.25646/5988
dc.type.versionpublishedVersionnone
local.edoc.container-titleJournal of Health Monitoringnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://www.rki.de/EN/Content/Health_Monitoring/JoHM_en/JoHM_en_node.htmlnone
local.edoc.container-volume4none
local.edoc.container-issue2none
local.edoc.container-reportyear2019none
local.edoc.container-periodicalpart-creatorRobert Koch-Institutnone
local.edoc.container-firstpage50none
local.edoc.container-lastpage63none
local.edoc.rki-departmentEpidemiologie und Gesundheitsmonitoringnone
dc.description.versionPeer Reviewednone

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