title: Influence of political power, medical provincialism, and economic incentives on the rationing of surgical intensive care unit beds.
abstract: OBJECTIVE
  To determine factors influencing rationing decisions in a surgical ICU during a temporary nursing shortage when two to six of the unit's 16 beds were closed.
  
  
  METHODS
  Blinded, concurrent data collection, retrospective chart review.
  
  
  METHODS
  Surgical ICU.
  
  
  METHODS
  All patients (n = 308) for whom a surgical ICU bed was requested were studied during a 3-month period.
  
  
  RESULTS
  Admitting patterns did not change and no attempts were made to limit admissions to more severely ill patients during times of the greatest shortage of surgical ICU beds. Contrary to findings in previous reports, the severity of illness of patients admitted to the surgical ICU decreased as bed availability and bed census decreased. Bed allocation across surgical services was influenced by factors other than medical suitability. Of major users, cardiothoracic surgery experienced the highest percentage (59%) of all patient admissions and lowest percentage (1.6%) of all denied admissions. General surgery experienced the lowest percentage (15%) of all admissions and highest percentage (10.4%) of all denied admissions, although these patients had the highest average Acute Physiology and Chronic Health Evaluation (APACHE II) scores for all patients admitted (17.7) and for patients denied admission (15.8).
  
  
  CONCLUSIONS
  Surgical attending physicians rarely used other open inhouse ICU beds when surgical ICU beds were unavailable. Political power, medical provincialism, and income maximization overrode medical suitability in the provision of critical care services.
authors.affiliation: Center for Biomedical Ethics, University of Virginia Health Sciences Center, Charlottesville 22908.
authors.forename: M F
authors.initials: MF
authors.lastname: Marshall
authors.forename: K J
authors.initials: KJ
authors.lastname: Schwenzer
authors.forename: M
authors.initials: M
authors.lastname: Orsina
authors.forename: J C
authors.initials: JC
authors.lastname: Fletcher
authors.forename: C G
authors.initials: CG
authors.lastname: Durbin
mesh_terms: D000328:Adult; D000368:Aged; D003365:Costs and Cost Analysis; D004469:Economics, Hospital; D005260:Female; D006801:Humans; D007362:Intensive Care Units; D016030:Kidney Transplantation; D007902:Length of Stay; D008297:Male; D008875:Middle Aged; D010343:Patient Admission; D018579:Patient Selection; D011057:Politics; D011182:Postoperative Care; D040841:Resource Allocation; D012189:Retrospective Studies; D012720:Severity of Illness Index