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Easily available adjustment criteria for the comparison of antibiotic consumption in a hospital setting: experience in France

机译:在医院中比较抗生素消耗量的简便调整标准:法国的经验

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Hospitals in France are encouraged to monitor antibiotic consumption (AbC) and it is known that this differs among hospitals. The aim of the current study was to identify relevant and easily available adjustment criteria for the purpose of benchmarking. We analysed data from 34 public non-teaching hospitals and 43 private hospitals located in south-western France and overseas departments using retrospective data from 2005. This study investigated the relationship between AbC expressed as defined daily doses per 1000 patient-days (DDD/1000 PDs) or per 100 admissions (DDD/100 admissions) and the number of venous central lines, the number of episodes of bacteraemia and various hospital characteristics. The relationship was tested using multiple linear analyses. The median total AbC in public hospitals was 395 DDD/1000 PDs (range, 196-737) and 341 DDD/100 admissions (range, 180-792). In private hospitals this was 422 DDD/1000 PDs (range, 113-717) and 212 DDD/100 admissions (range, 38-510). The best model for public hospitals included the proportion of PDs in surgery, intensive care and medical wards and explained 84% of the variability in AbC expressed as DDD/1000 PDs. For private hospitals, the mean length of stay and the proportion of PDs in surgery and medical wards explained 68% of the variability in AbC expressed as DDD/100 admissions. Overall, this French experience shows that relevant adjustment criteria for the comparison among hospitals are easily available. It is important that each country establish its own model considering the intrinsic peculiarities of the hospital system and taking into account both indicators (DDD/1000 PDs or DDD/100 admissions) to design the best model.
机译:鼓励法国的医院监测抗生素的摄入量(AbC),众所周知这在医院之间有所不同。当前研究的目的是为了确定基准,确定相关且容易获得的调整标准。我们使用2005年的回顾性数据分析了来自法国西南部和海外部门的34家公立非教学医院和43家私立医院的数据。本研究调查了AbC的关系,表述为定义为每千个患者-天的日剂量(DDD / 1000 PD(PDs)或每100例入院(DDD / 100例入院)以及静脉中线数目,菌血症发作数和各种医院特征。使用多个线性分析测试了这种关系。公立医院的总AbC中位数为395 DDD / 1000 PD(范围为196-737)和341 DDD / 100入院(范围为180-792)。在私家医院,这是422 DDD / 1000 PD(范围113-717)和212 DDD / 100入院(范围38-510)。公立医院的最佳模型包括手术,重症监护和医疗病房中PD的比例,并解释了以DDD / 1000 PD表示的AbC变异的84%。对于私家医院,平均住院时间和手术及医疗病房中PD的比例可以解释为DDD / 100入院的AbC变异的68%。总体而言,这种法国经验表明,很容易获得用于医院之间比较的相关调整标准。每个国家都必须考虑医院系统的固有特性并考虑两个指标(DDD / 1000 PD或DDD / 100入院)来建立自己的模型,以设计最佳模型,这一点很重要。

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