title: Comparison of hospital databases on antibiotic consumption in France, for a single management tool.
abstract: BACKGROUND
  The surveillance of antibiotic use in hospitals and of data on resistance is an essential measure for antibiotic stewardship. There are 3 national systems in France to collect data on antibiotic use: DREES, ICATB, and ATB RAISIN. We compared these databases and drafted recommendations for the creation of an optimized database of information on antibiotic use, available to all concerned personnel: healthcare authorities, healthcare facilities, and healthcare professionals.
  
  
  METHODS
  We processed and analyzed the 3 databases (2008 data), and surveyed users.
  
  
  RESULTS
  The qualitative analysis demonstrated major discrepancies in terms of objectives, healthcare facilities, participation rate, units of consumption, conditions for collection, consolidation, and control of data, and delay before availability of results. The quantitative analysis revealed that the consumption data for a given healthcare facility differed from one database to another, challenging the reliability of data collection. We specified user expectations: to compare consumption and resistance data, to carry out benchmarking, to obtain data on the prescribing habits in healthcare units, or to help understand results.
  
  
  CONCLUSIONS
  The study results demonstrated the need for a reliable, single, and automated tool to manage data on antibiotic consumption compared with resistance data on several levels (national, regional, healthcare facility, healthcare units), providing rapid local feedback and educational benchmarking.
authors.affiliation: Service des maladies infectieuses et tropicales, hôpital de Brabois, centre hospitalier universitaire de Nancy, allée du Morvan, 54500 Vandœuvre-les-Nancy, France; Réseau Antibiolor, CHU Nancy, Vandœuvre-les-Nancy, France. Electronic address: sandrine.henard@wanadoo.fr.
authors.forename: S
authors.initials: S
authors.lastname: Henard
authors.affiliation: Centre de coordination de lutte contre les infections nosocomiales-Est, CHU Nancy, Vandœuvre-les-Nancy, France.
authors.forename: S
authors.initials: S
authors.lastname: Boussat
authors.affiliation: Réseau Antibiolor, CHU Nancy, Vandœuvre-les-Nancy, France; Université de Lorraine, SRSMC, UMR, 7565, Nancy, France.
authors.forename: B
authors.initials: B
authors.lastname: Demoré
authors.affiliation: Néanima, Aix-en-Provence, France.
authors.forename: S
authors.initials: S
authors.lastname: Clément
authors.affiliation: Réseau Antibiolor, CHU Nancy, Vandœuvre-les-Nancy, France.
authors.forename: T
authors.initials: T
authors.lastname: Lecompte
authors.affiliation: Service des maladies infectieuses et tropicales, hôpital de Brabois, centre hospitalier universitaire de Nancy, allée du Morvan, 54500 Vandœuvre-les-Nancy, France; Réseau Antibiolor, CHU Nancy, Vandœuvre-les-Nancy, France.
authors.forename: T
authors.initials: T
authors.lastname: May
authors.affiliation: Service des maladies infectieuses et tropicales, hôpital de Brabois, centre hospitalier universitaire de Nancy, allée du Morvan, 54500 Vandœuvre-les-Nancy, France; Réseau Antibiolor, CHU Nancy, Vandœuvre-les-Nancy, France; Centre de coordination de lutte contre les infections nosocomiales-Est, CHU Nancy, Vandœuvre-les-Nancy, France.
authors.forename: C
authors.initials: C
authors.lastname: Rabaud
mesh_terms: D000900:Anti-Bacterial Agents / Q000627:therapeutic use*; D001331:Automation; D019985:Benchmarking; D003428:Cross Infection / Q000188:drug therapy; D003625:Data Collection / Q000379:methods; D003628:Database Management Systems; D016208:Databases, Factual; D004363:Drug Utilization / Q000706:statistics & numerical data; D005602:France; D006801:Humans; D057970:Inappropriate Prescribing / Q000517:prevention & control / Q000706:statistics & numerical data; D010607:Pharmacy Service, Hospital / Q000706:statistics & numerical data*; D036301:Qualitative Research
chemical_list: D000900:Anti-Bacterial Agents
keywords: Antibiotic stewardship; Antimicrobial resistance; Benchmarking; Bon usage des antibiotiques; Résistance aux antibiotiques