Stordeur Florence, Miliani Katiuska, Lacavé Ludivine, Rogues Anne-Marie, Dumartin Catherine, Alfandari Serge, Astagneau Pascal, L'Hériteau François
Centre hospitalier intercommunal de Poissy St Germain, 10 rue du champ Gaillard, 78100 Poissy, France.
Centre d'appui pour la prévention des infections associées aux soins (CPias) Ile-de-France, Paris, France.
JAC Antimicrob Resist. 2020 Aug 11;2(3):dlaa059. doi: 10.1093/jacamr/dlaa059. eCollection 2020 Sep.
Antibiotic use (ABU) surveillance in healthcare facilities (HCFs) is essential to guide stewardship. Two methods are recommended: antibiotic consumption (ABC), expressed as the number of DDD/1000 patient-days; and prevalence of antibiotic prescription (ABP) measured through point prevalence surveys. However, no evidence is provided about whether they lead to similar conclusions.
To compare ABC and ABP regarding HCF ranking and their ability to identify outliers.
The comparison was made using 2012 national databases from the antibiotic surveillance network and prevalence study. HCF rankings according to each method were compared with Spearman's correlation coefficient. Analyses included the ABU from entire HCFs as well as according to type, clinical ward and by antibiotic class and specific molecule.
A total of 1076 HCFs were included. HCF rankings were strongly correlated in the whole cohort. The correlation was stronger for HCFs with a higher number of beds or with a low or moderate proportion of acute care beds. ABU correlation between ABC or ABP was globally moderate or weak in specific wards. Furthermore, the two methods did not identify the same outliers, whichever HCF characteristics were analysed. Correlation between HCF ranking varied according to the antibiotic class.
Both methods ranked HCFs similarly overall according to ABC or ABP; however, major differences were observed in ranking of clinical wards, antibiotic classes and detection of outliers. ABC and ABP are two markers of ABU that could be used as two complementary approaches to identify targets for improvement.
医疗机构抗生素使用(ABU)监测对于指导管理工作至关重要。推荐了两种方法:抗生素消耗量(ABC),以每1000患者日的限定日剂量数表示;以及通过现患率调查测量的抗生素处方现患率(ABP)。然而,没有证据表明它们是否会得出相似的结论。
比较ABC和ABP在医疗机构排名方面以及识别异常值的能力。
使用来自抗生素监测网络和现患率研究的2012年国家数据库进行比较。根据每种方法得出的医疗机构排名与斯皮尔曼相关系数进行比较。分析包括整个医疗机构的ABU,以及按类型、临床科室、抗生素类别和特定分子进行的分析。
共纳入1076家医疗机构。整个队列中医疗机构排名高度相关。对于床位较多或急性护理床位比例低或中等的医疗机构,相关性更强。在特定科室中,ABC和ABP之间的ABU相关性总体中等或较弱。此外,无论分析哪种医疗机构特征,两种方法识别出的异常值都不相同。医疗机构排名之间的相关性因抗生素类别而异。
总体而言,根据ABC或ABP,两种方法对医疗机构的排名相似;然而,在临床科室排名、抗生素类别和异常值检测方面观察到了主要差异。ABC和ABP是ABU的两个指标,可作为两种互补方法来确定改进目标。