title: [Calculation of costs per inpatient day in an intensive care unit].
abstract: BACKGROUND
  Intensive medicine is especially expensive and requires an efficient management.
  
  
  OBJECTIVE
  To measure the real costs of diseases treated in an intensive care unit and compare them with the costs assigned by the Chilean National Health Fund (FONASA) for 2008.
  
  
  METHODS
  Retrospective review of 225 patients, representing 82% of discharges from an intensive care unit during 2008. Patients were classified according to their medical conditions as having sepsis, trauma, cardiovascular, respiratory or neurological diseases. Costs were calculated using the cost per activity system.
  
  
  RESULTS
  Trauma, sepsis and cardiovascular diseases had the greatest cost per inpatient day, corresponding to 294,779; 253,513 and 244,713 Chilean pesos, respectively. Seventy percent of costs correspond to human resources followed by complementary examinations, that represent up to 15% of costs. Patients with sepsis and cardiovascular diseases absorbed 28 and 26% of intensive care unit resources, respectively. Patients who died with these diseases absorbed 35 and 16% of resources, respectively.
  
  
  CONCLUSIONS
  All diseases studied had significantly higher costs than those assigned by the National Health Fund.
authors.affiliation: Facultad de Ciencias Empresariales, Universidad de Talca, Chile. salvear@utalca.cl
authors.forename: Sandra
authors.initials: S
authors.lastname: Alvear V
authors.forename: Jorge
authors.initials: J
authors.lastname: Canteros
authors.forename: Patricia
authors.initials: P
authors.lastname: Rodríguez
mesh_terms: D002318:Cardiovascular Diseases / Q000191:economics; D003362:Cost-Benefit Analysis; D003422:Critical Care / Q000191:economics*; D005260:Female; D017721:Hospital Costs; D006760:Hospitalization / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D007297:Inpatients; D007362:Intensive Care Units / Q000191:economics*; D008297:Male; D008875:Middle Aged; D010343:Patient Admission / Q000191:economics / Q000706:statistics & numerical data; D012189:Retrospective Studies; D018805:Sepsis / Q000191:economics; D014947:Wounds and Injuries / Q000191:economics