title: How to improve the collection and analysis of hospital antibiotic consumption: preliminary results of the ConsoRes software experimental implementation.
abstract: OBJECTIVE
  The online software ConsoRes is used to collect and analyze data on antibiotic consumption and evolution of bacterial resistance in healthcare institutions in every hospital ward (HW). We report the first results of ConsoRes implementation in the northeast hospitals of France.
  
  
  METHODS
  ConsoRes was implemented in January 2011, in nine volunteer hospitals after performing an onsite assessment. Five of these hospitals were already monitoring antibiotic consumption with a network such as Raisin ATB or Antibiolor, providing feedback on the various evaluation tools.
  
  
  RESULTS
  The ConsoRes data collection import function meets expectations of pharmacists, bacteriologists, or clinicians since it is user friendly, prevents redundant data input, and allows data transfer to the national databases. Importing the hospital organizational structure prevents mistakes on consumption allocation, which was noted in the previous databases, and makes comparison and benchmark analysis reliable. ConsoRes also provides a rapid consumption data feedback to all registered users within the hospital, whether in charge of a ward (clinician) or having a transversal function (pharmacist, bacteriologist). The availability of an automatic standard report or of an online customized report is another major feature of ConsoRes.
  
  
  CONCLUSIONS
  Besides providing surveillance, the concomitant analysis of local antibiotic consumption and bacterial resistance should have an educational impact by allowing each user to implement actions within the framework of antibiotic stewardship.
authors.affiliation: Centre de coordination de lutte contre les infections nosocomiales de l'Est, hôpitaux de Brabois, CHU de Nancy, rue du Morvan, Vandœuvre-lès-Nancy, France. s.boussat@chu-nancy.fr
authors.forename: S
authors.initials: S
authors.lastname: Boussat
authors.forename: B
authors.initials: B
authors.lastname: Demoré
authors.forename: A
authors.initials: A
authors.lastname: Lozniewski
authors.forename: N
authors.initials: N
authors.lastname: Aissa
authors.forename: C
authors.initials: C
authors.lastname: Rabaud
mesh_terms: D000900:Anti-Bacterial Agents / Q000627:therapeutic use; D001424:Bacterial Infections / Q000188:drug therapy / Q000453:epidemiology / Q000517:prevention & control; D003428:Cross Infection / Q000188:drug therapy / Q000453:epidemiology / Q000517:prevention & control; D003625:Data Collection / Q000379:methods; D016208:Databases, Factual; D004352:Drug Resistance, Microbial; D004363:Drug Utilization / Q000706:statistics & numerical data*; D005602:France; D006757:Hospital Units / Q000706:statistics & numerical data; D006761:Hospitals / Q000706:statistics & numerical data*; D006769:Hospitals, General / Q000706:statistics & numerical data; D016304:Hospitals, Private / Q000706:statistics & numerical data; D006785:Hospitals, University / Q000706:statistics & numerical data; D006801:Humans; D020407:Internet; D010362:Patients' Rooms / Q000706:statistics & numerical data; D011358:Product Surveillance, Postmarketing; D012189:Retrospective Studies; D012984:Software; D014584:User-Computer Interface
chemical_list: D000900:Anti-Bacterial Agents