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首页> 外文期刊>Eurosurveillance >Application of a new methodology and R package reveals a high burden of healthcare-associated infections (HAI) in Germany compared to the average in the European Union/European Economic Area, 2011 to 2012
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Application of a new methodology and R package reveals a high burden of healthcare-associated infections (HAI) in Germany compared to the average in the European Union/European Economic Area, 2011 to 2012

机译：与2011年至2012年欧盟/欧洲经济区的平均水平相比，采用新的方法论和R包显示德国的医疗保健相关感染（HAI）负担重

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BackgroundHealthcare-associated infections?(HAIs) pose a major challenge to health systems. Burden of disease estimations in disability-adjusted life years?(DALYs) are useful for comparing and ranking HAIs.AimTo estimate the number of five common HAIs, their attributable number of deaths and burden for Germany.MethodsWe developed a new method and R package that builds on the approach used by the Burden of Communicable Diseases in Europe?(BCoDE) project to estimate the burden of HAIs for individual countries. We used data on healthcare-associated Clostridioides difficile infection, healthcare-associated pneumonia, healthcare-associated primary bloodstream infection, healthcare-associated urinary tract infection and surgical-site infection, which were collected during the point prevalence survey of HAIs in European acute-care hospitals between 2011 and 2012.ResultsWe estimated 478,222?(95%?uncertainty interval?(UI):?421,350–537,787) cases for Germany, resulting in 16,245?(95%?UI:?10,863–22,756) attributable deaths and 248,920?(95%?UI:?178,693–336,239)?DALYs. Despite the fact that Germany has a relatively low hospital prevalence of HAIs compared with the European Union/European Economic Area?(EU/EEA) average, the burden of HAIs in Germany?(308.2?DALYs/100,000 population; 95%?UI:?221.2–416.3) was higher than the EU/EEA average?(290.0?DALYs/100,000 population; 95%?UI:?214.9–376.9). Our methodology is applicable to other countries in or outside of the EU/EEA. An R package is available from https://CRAN.R-project.org/package=BHAI.ConclusionThis is the first study to estimate the burden of HAIs in DALYs for Germany. The large number of hospital beds may be a contributing factor for a relatively high burden of HAIs in Germany. Further focus on infection prevention control, paired with reduction of avoidable hospital stays, is needed to reduce the burden of HAIs in Germany.
机译：背景与卫生保健有关的感染（HAIs）对卫生系统构成了重大挑战。残疾调整生命年的疾病估计负担（DALYs）有助于对HAIs进行比较和排名。目的是估算5种常见HAIs的数量，可归因于德国的死亡人数和负担。方法我们开发了一种新的方法和R包以“欧洲传染病负担”（BCoDE）项目所使用的方法为基础，以估算各个国家的HAIs负担。我们使用了在欧洲急性护理中HAIs的点流行率调查中收集的与医疗保健相关的艰难梭菌感染，医疗保健相关的肺炎，与医疗保健相关的原发性血液感染，与医疗保健相关的尿路感染和手术部位感染的数据。结果我们估计德国有478,222例（不确定度区间（UI）：421,350–537,787）（421,350–537,787）病例，导致16,245例（95％UI：10,863–22,756）可归因的死亡人数和248,920？ （95％？UI：？178,693–336,239）？DALYs。尽管与欧洲联盟/欧洲经济区（EU / EEA）的平均水平相比，德国的HAI患病率相对较低，但德国的HAI负担为（308.2？DALYs / 100,000人口; 95％？UI）： “ 221.2–416.3”高于欧盟/欧洲经济区的平均水平（290.0？DALYs / 100,000人口; 95％UI：“ 214.9–376.9”）。我们的方法适用于EU / EEA内外的其他国家。可从https://CRAN.R-project.org/package=BHAI获得R包。结论这是第一项评估德国DALY中HAI负担的研究。大量的病床可能是德国HAI负担相对较高的一个促成因素。为了减轻德国HAI的负担，需要进一步关注感染预防控制，同时减少可避免的住院时间。

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