title: Use of resources and postoperative outcome.
abstract: OBJECTIVE
  To characterise those surgical patients who consume one half of all hospital patient days, and to compare their outcome with that of low consumers.
  
  
  METHODS
  A retrospective cohort study.
  
  
  METHODS
  Tertiary referral centre, Finland.
  
  
  METHODS
  13025 surgical patients who were admitted to a university hospital in Kuopio, Finland, during 1997.
  
  
  METHODS
  The length of stay below which half of all patient days fell was chosen as a cut-off value to divide patients into low and high consumers.
  
  
  METHODS
  Hospital and 12-month mortality and standardised mortality ratios (SMR: observed deaths/expected deaths based on the corresponding general population).
  
  
  RESULTS
  The 2239 patients (17%) whose length of stay exceeded 9 days (high consumers) took up one half of all patient days. The pattern of resource use varied between operative specialities. At 12 months the SMRs showed excess mortality among high consumers (5.0, 95% confidence interval 4.4 to 5.7) compared with low consumers (2.1, 95% CI 1.9 to 2.3).
  
  
  CONCLUSIONS
  Relating the length of stay to the proportion of resources consumed may provide a feasible tool for the recognition of different patterns of use of resources. SMRs may be more relevant measures of outcome than hospital mortality when assessing the efficacy of operative treatment.
authors.affiliation: Department of Anaesthesiology and Intensive Care, Kuopio University Hospital, Finland. minna.niskanen@kuh.fi
authors.forename: M M
authors.initials: MM
authors.lastname: Niskanen
authors.forename: J A
authors.initials: JA
authors.lastname: Takala
mesh_terms: D003952:Diagnostic Imaging / Q000706:statistics & numerical data; D003955:Diagnostic Tests, Routine / Q000706:statistics & numerical data; D005260:Female; D005387:Finland / Q000453:epidemiology; D006295:Health Resources / Q000706:statistics & numerical data*; D017052:Hospital Mortality; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D017063:Outcome Assessment, Health Care; D016012:Poisson Distribution; D012189:Retrospective Studies; D018709:Statistics, Nonparametric; D013514:Surgical Procedures, Operative