title: [Economic impact of the resolution of drug related problems in an Emergency Department].
abstract: OBJECTIVE
  Determine the economic impact of avoided cost in hospital stays by preventing drug-related problems.
  
  
  METHODS
  Prospective observational study of six months in the emergency department. We included patients admitted for observation and pre-admission beds. A pharmacist was integrated into the healthcare team to validate / reconcile pharmacotherapy. Severity was associated DRPs detected / resolved with the risk increasing the stay of patients admitted to a clinical unit, estimating the potential cost avoided.
  
  
  RESULTS
  El 32,5% of patients required intervention and were intercepted 444 drug-related problems, resolving 85.5%. Serious problems serious / significant unresolved affected 130 patients who were admitted, with an estimated avoided cost about 60,000 €. It was noted that serious problems and oral cytostatics, insulin and diabetes were the groups associated with a higher average cost avoided (p <0.05).
  
  
  CONCLUSIONS
  The integration of the pharmacist in the emergency team to intercept medication problems, reducing the risk of stay and increase healthcare costs.
authors: Marisol
authors: M
authors: Ucha-Samartín
authors: A
authors: A
authors: Pichel-Loureiro
authors: C
authors: C
authors: Vázquez-López
authors: M
authors: M
authors: Álvarez Payero
authors: D
authors: D
authors: Pérez Parente
authors: N
authors: N
authors: Martínez-López de Castro
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D017046:Cost Savings / Q000706:statistics & numerical data*; D016208:Databases, Factual / Q000941:ethics; D004347:Drug Interactions; D062787:Drug Overdose / Q000175:diagnosis / Q000191:economics / Q000517:prevention & control; D064420:Drug-Related Side Effects and Adverse Reactions / Q000175:diagnosis / Q000191:economics / Q000517:prevention & control*; D004636:Emergency Service, Hospital / Q000191:economics* / Q000706:statistics & numerical data; D005260:Female; D006745:Hospital Bed Capacity, 300 to 499; D017721:Hospital Costs / Q000706:statistics & numerical data; D006785:Hospitals, University / Q000191:economics / Q000706:statistics & numerical data; D006801:Humans; D007258:Informed Consent; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008508:Medication Errors / Q000191:economics / Q000517:prevention & control; D008875:Middle Aged; D010348:Patient Care Team; D010595:Pharmacists; D019338:Polypharmacy; D011446:Prospective Studies; D012720:Severity of Illness Index; D013030:Spain