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dc.rights.licenseopenen_US
dc.contributor.authorSTORDEUR, Florence
dc.contributor.authorMILIANI, Katiuska
dc.contributor.authorLACAVE, Ludivine
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorROGUES, Anne-Marie
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDUMARTIN, Catherine
dc.contributor.authorALFANDARI, Serge
dc.contributor.authorASTAGNEAU, Pascal
dc.contributor.authorL'HERITEAU, Francois
dc.date.accessioned2021-08-30T09:45:24Z
dc.date.available2021-08-30T09:45:24Z
dc.date.issued2020-09
dc.identifier.issn2632-1823en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/110249
dc.description.abstractEnBACKGROUND: 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. OBJECTIVES: To compare ABC and ABP regarding HCF ranking and their ability to identify outliers. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subject.enAntibiotics
dc.subject.enBeds
dc.subject.enPatients' rooms
dc.subject.enSurveillance
dc.subject.enMedical
dc.title.enHow to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/jacamr/dlaa059en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34223016en_US
bordeaux.journalJAC-Antimicrobial Resistanceen_US
bordeaux.pagedlaa059en_US
bordeaux.volume2en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamPharmacoEpi-Drugsen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=JAC-Antimicrobial%20Resistance&rft.date=2020-09&rft.volume=2&rft.issue=3&rft.spage=dlaa059&rft.epage=dlaa059&rft.eissn=2632-1823&rft.issn=2632-1823&rft.au=STORDEUR,%20Florence&MILIANI,%20Katiuska&LACAVE,%20Ludivine&ROGUES,%20Anne-Marie&DUMARTIN,%20Catherine&rft.genre=article


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