title: Cost savings and health losses from reducing inappropriate admissions to a department of internal medicine.
abstract: OBJECTIVE
  Inappropriate hospital admissions are commonly believed to represent a potential for significant cost reductions. However, this presumes that these patients can be identified before the hospital stay. The present study aimed to investigate to what extent this is possible.
  
  
  METHODS
  Consecutive admissions to a department of internal medicine were assessed by two expert panels. One panel predicted the appropriateness of the stays from the information available at admission, while final judgments of appropriateness were made after discharge by the other.
  
  
  RESULTS
  The panels correctly classified 88% of the appropriate and 27% of the inappropriate admissions. If the elective admissions predicted to be inappropriate had been excluded, 9% of the costs would have been saved, and 5% of the gain in quality-adjusted life-years lost. The corresponding results for emergency admissions were 14% and 18%.
  
  
  CONCLUSIONS
  The savings obtained by excluding admissions predicted to be inappropriate were small relative to the health losses. Programs for reducing inappropriate health care should not be implemented without investigating their effects on both health outcomes and costs.
authors.affiliation: University Hospital of Tromsø.
authors.forename: B O
authors.initials: BO
authors.lastname: Eriksen
authors.forename: O H
authors.initials: OH
authors.lastname: Førde
authors.forename: I S
authors.initials: IS
authors.lastname: Kristiansen
authors.forename: E
authors.initials: E
authors.lastname: Nord
authors.forename: J F
authors.initials: JF
authors.lastname: Pape
authors.forename: S M
authors.initials: SM
authors.lastname: Almdahl
authors.forename: A
authors.initials: A
authors.lastname: Hensrud
authors.forename: S
authors.initials: S
authors.lastname: Jaeger
authors.forename: F A
authors.initials: FA
authors.lastname: Mürer
mesh_terms: D000328:Adult; D017046:Cost Savings; D005260:Female; D006300:Health Services Misuse / Q000191:economics*; D017721:Hospital Costs; D006748:Hospital Departments / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D007388:Internal Medicine; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009664:Norway; D010343:Patient Admission / Q000191:economics / Q000706:statistics & numerical data*; D019057:Quality-Adjusted Life Years; D012680:Sensitivity and Specificity; D014600:Utilization Review