title: Phlebotomy teams reduce blood-culture contamination rate and save money.
abstract: OBJECTIVE
  To determine the extent of resource utilization due to contaminated blood cultures.
  
  
  METHODS
  Case-control retrospective analysis. Twenty-three patients who had contaminated blood cultures were matched by age, underlying diseases, and discharge diagnoses with 23 patients who had negative blood cultures.
  
  
  METHODS
  St Luke's Medical Center, a community teaching hospital in Cleveland, Ohio. The phlebotomy team was eliminated in November 1993 to reduce the costs.
  
  
  RESULTS
  Blood cultures drawn by the phlebotomy team had a lower contamination rate compared with those drawn by nonphlebotomists (2.6% vs 5.6%). Patients with contaminated blood cultures were compared to those with negative blood cultures. The following parameters were found to be statistically significant: total hospital length of stay (LOS; 13.9 vs 5.5 days; P = .002), postculture LOS (8.9 vs 4.6; P = .01), postculture number of days on antibiotics (5.9 vs 2.9; P = .03), vancomycin use (9 vs 2 patients; P = .03), postculture cost of antibiotics ($762 vs $121; P = .004), and postculture hospital cost per patient ($10,515 vs $4,213; P = .001).
  
  
  CONCLUSIONS
  This study demonstrated a substantial increase in resource utilization in our hospital due to contaminated blood cultures. The reinstitution of a phlebotomy team could be a cost-effective solution with savings between $950,000 and $1.5 million per year for our hospital.
authors.affiliation: St Luke's Medical Center, Cleveland, OH 44104, USA.
authors.forename: S
authors.initials: S
authors.lastname: Surdulescu
authors.forename: D
authors.initials: D
authors.lastname: Utamsingh
authors.forename: R
authors.initials: R
authors.lastname: Shekar
mesh_terms: D000328:Adult; D000368:Aged; D001800:Blood Specimen Collection / Q000191:economics / Q000592:standards*; D017848:Blood-Borne Pathogens; D016022:Case-Control Studies; D017046:Cost Savings / Q000379:methods; D003951:Diagnostic Errors; D005260:Female; D006295:Health Resources / Q000706:statistics & numerical data; D017722:Hospital Charges; D006764:Hospitals, Community / Q000191:economics / Q000458:organization & administration; D006784:Hospitals, Teaching / Q000191:economics / Q000458:organization & administration; D006801:Humans; D007902:Length of Stay; D008297:Male; D017056:Medical Laboratory Personnel / Q000458:organization & administration*; D008875:Middle Aged; D009820:Ohio; D018962:Phlebotomy; D012189:Retrospective Studies; D013048:Specimen Handling / Q000191:economics / Q000592:standards