title: Automated surveillance for adverse drug events at a community hospital and an academic medical center.
abstract: OBJECTIVE
  To compare the rates and nature of ADEs at an academic medical center and a community hospital using a single computerized ADE surveillance system.
  
  
  METHODS
  Prospective cohort study of patients admitted to two tertiary care hospitals. Outcome Measure Adverse drug events identified by automated surveillance and voluntary reporting.
  
  
  METHODS
  We implemented an automated surveillance system across an academic medical center and a community hospital. Potential events identified by the computer were reviewed in detail by medication safety pharmacists and scored for causality and severity. Findings were compared between the two hospitals, and with voluntary reports from nurses and pharmacists.
  
  
  RESULTS
  Over the 8 month study period, 25,177 patients were admitted to the university hospital and 8,029 to the community hospital. There were 1,116 ADEs in 900 patients at the university hospital for an overall rate of 4.4 ADEs per 100 admissions. At the community hospital, 399 patients experienced 501 ADEs for a rate of 6.2 events per 100 admissions. Rates of antibiotic-associated colitis, drug-induced hypoglycemia, and anticoagulation-related ADEs were significantly higher at the community hospital compared with the university hospital. Computerized surveillance detected ADEs at a rate 3.6 times that of voluntary reporting at the university hospital and 12.3 times that at the community hospital.
  
  
  CONCLUSIONS
  Operation of a common automated ADE surveillance system across hospitals permits meaningful comparison of ADE rates in different inpatient settings. Automated surveillance detects ADEs at rates far higher than voluntary reporting, and the difference may be greater in the community hospital setting. Community hospitals may experience higher rates of certain types of ADEs compared with academic medical centers.
authors.affiliation: Duke Health Technology Solutions, Duke University Health System, Box 2718, Durham, NC 27705, USA. peter.kilbridge@duke.edu
authors.forename: Peter M
authors.initials: PM
authors.lastname: Kilbridge
authors.forename: Udobi C
authors.initials: UC
authors.lastname: Campbell
authors.forename: Heidi B
authors.initials: HB
authors.lastname: Cozart
authors.forename: Maryam G
authors.initials: MG
authors.lastname: Mojarrad
mesh_terms: D000046:Academic Medical Centers; D016907:Adverse Drug Reaction Reporting Systems; D016903:Drug Monitoring / Q000295:instrumentation / Q000379:methods*; D064420:Drug-Related Side Effects and Adverse Reactions; D006764:Hospitals, Community; D006801:Humans; D050316:Medical Order Entry Systems; D008508:Medication Errors / Q000517:prevention & control; D008510:Medication Systems, Hospital; D011446:Prospective Studies; D012308:Risk Management