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德国传染病通报系统的阳性预测值:来自柏林 8 个地区卫生局的监测数据,2012 年。

Positive predictive value of the German notification system for infectious diseases: Surveillance data from eight local health departments, Berlin, 2012.

机构信息

Postgraduate Training for Applied Epidemiology (PAE, German FETP), Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.

出版信息

PLoS One. 2019 Feb 22;14(2):e0212908. doi: 10.1371/journal.pone.0212908. eCollection 2019.

DOI:10.1371/journal.pone.0212908
PMID:30794677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6386491/
Abstract

The 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.

摘要

德国传染病防治法要求向德国当地卫生部门(LHD)报告某些传染病病例。LHD 将符合病例定义的通报转交给国家卫生当局,但不知道被丢弃的通报比例。LHD 层面丢弃病例的比例可以用通报系统的阳性预测值(PPV)来表示。PPV 可用于评估系统的效率。我们量化了丢弃通报的比例,使用柏林 LHD 2012 年的电子通报数据计算了 LHD 层面德国通报系统的 PPV。我们还通过审查通报表分析了丢弃通报的原因。2012 年有八个 LHD(占 67%)收到了 10113 份通报,数据可用。总体 PPV 为 89%(LHD 之间的最小值-最大值为 77-97%),范围从 30%(乙型肝炎)到 99%(轮状病毒)。在 166 份单独的调查表格中,84%是乙型肝炎或丙型肝炎病例,其中大多数因先前诊断的慢性病而被丢弃。LHD 调查了许多不会导致公共卫生行动的通报,以及有用的监测数据,导致资源利用效率低下。病例定义或有关通报的法律框架的调整可能会提高通报系统的效率,并导致更好地利用通报病例的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/6386491/4e9e0ea14f81/pone.0212908.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/6386491/9b341c12efeb/pone.0212908.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/6386491/cc4aa6e04369/pone.0212908.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/6386491/4e9e0ea14f81/pone.0212908.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/6386491/9b341c12efeb/pone.0212908.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/6386491/cc4aa6e04369/pone.0212908.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/6386491/4e9e0ea14f81/pone.0212908.g003.jpg

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