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2019-02-22Zeitschriftenartikel DOI: 10.25646/5954
Positive predictive value of the German notification system for infectious diseases: Surveillance data from eight local health departments, Berlin, 2012
dc.contributor.authorBlümel, Benjamin
dc.contributor.authorDiercke, Michaela
dc.contributor.authorSagebiel, Daniel
dc.contributor.authorGilsdorf, Andreas
dc.date.accessioned2019-03-14T12:59:28Z
dc.date.available2019-03-14T12:59:28Z
dc.date.issued2019-02-22none
dc.identifier.other10.1371/journal.pone.0212908
dc.identifier.urihttp://edoc.rki.de/176904/5989
dc.description.abstractThe German Infection Protection Act requires notifying certain cases of infectious diseases to local health departments (LHD) in Germany. LHDs transmit notifications meeting case definitions to the national health authority, where the proportion of discarded notifications is not known. The proportion of discarded cases at the level of LHDs can be expressed as the positive predictive value (PPV) of the notification system. The PPV can be used to assess the efficiency of the system. We quantified the proportion of discarded notifications to calculate the PPV of the German notification system at the level of LHDs using electronic notification data from Berlin LHDs from 2012. We also analysed reasons for discarding notifications by reviewing notification forms. Data was available from eight LHDs (67%) receiving 10,113 notifications in 2012. Overall PPV was 89% (minimum-maximum = 77–97% across LHDs) and ranging from 30% (Hepatitis B) to 99% (Rotavirus). Of 166 individual investigation forms 84% were on hepatitis B or C cases, most of them discarded because of previously diagnosed chronic disease. LHDs investigate many notifications that do not lead to public health action and useful surveillance data leading to inefficient use of resources. Adaptation of case definitions or the legal framework concerning notifications may increase the efficiency of the notification system and lead to better use of data from notified cases.eng
dc.language.isoengnone
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.subjectHepatitis Beng
dc.subjectInfectious disease surveillanceeng
dc.subjectGermanyeng
dc.subjectPublic and occupational healtheng
dc.subjectMeningococcal diseaseeng
dc.subjectHepatitis Ceng
dc.subjectInfectious diseaseseng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titlePositive predictive value of the German notification system for infectious diseases: Surveillance data from eight local health departments, Berlin, 2012none
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:0257-176904/5989-9
dc.identifier.doihttp://dx.doi.org/10.25646/5954
dc.type.versionpublishedVersionnone
local.edoc.container-titlePLoS ONEnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-urlhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212908none
local.edoc.container-publisher-namePublic Library of Sciencenone
local.edoc.container-volume2019none
local.edoc.container-reportyear2019none
local.edoc.container-year2019none
local.edoc.container-firstpage1none
local.edoc.container-lastpage10none
local.edoc.rki-departmentInfektionsepidemiologienone
dc.description.versionPeer Reviewednone

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