title: Economic implications of nighttime attending intensivist coverage in a medical intensive care unit.
abstract: OBJECTIVE
  Our objective was to assess the cost implications of changing the intensive care unit staffing model from on-demand presence to mandatory 24-hr in-house critical care specialist presence.
  
  
  METHODS
  A pre-post comparison was undertaken among the prospectively assessed cohorts of patients admitted to our medical intensive care unit 1 yr before and 1 yr after the change. Our data were stratified by Acute Physiology and Chronic Health Evaluation III quartile and whether a patient was admitted during the day or at night. Costs were modeled using a generalized linear model with log-link and γ-distributed errors.
  
  
  METHODS
  A large academic center in the Midwest.
  
  
  METHODS
  All patients admitted to the adult medical intensive care unit on or after January 1, 2005 and discharged on or before December 31, 2006. Patients receiving care under both staffing models were excluded.
  
  
  METHODS
  Changing the intensive care unit staffing model from on-demand presence to mandatory 24-hr in-house critical care specialist presence.
  
  
  RESULTS
  Total cost estimates of hospitalization were calculated for each patient starting from the day of intensive care unit admission to the day of hospital discharge. Adjusted mean total cost estimates were 61% lower in the post period relative to the pre period for patients admitted during night hours (7 pm to 7 am) who were in the highest Acute Physiology and Chronic Health Evaluation III quartile. No significant differences were seen at other severity levels. The unadjusted intensive care unit length of stay fell in the post period relative to the pre period (3.5 vs. 4.8) with no change in non-intensive care unit length of stay.
  
  
  CONCLUSIONS
  We find that 24-hr intensive care unit intensivist staffing reduces lengths of stay and cost estimates for the sickest patients admitted at night. The costs of introducing such a staffing model need to be weighed against the potential total savings generated for such patients in smaller intensive care units, especially ones that predominantly care for lower-acuity patients.
authors.affiliation: Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
authors.forename: Ritesh
authors.initials: R
authors.lastname: Banerjee
authors.forename: James M
authors.initials: JM
authors.lastname: Naessens
authors.forename: Edward G
authors.initials: EG
authors.lastname: Seferian
authors.forename: Ognjen
authors.initials: O
authors.lastname: Gajic
authors.forename: James P
authors.initials: JP
authors.lastname: Moriarty
authors.forename: Matthew G
authors.initials: MG
authors.lastname: Johnson
authors.forename: David O
authors.initials: DO
authors.lastname: Meltzer
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015331:Cohort Studies; D005260:Female; D017048:Health Care Costs; D006760:Hospitalization / Q000191:economics; D006801:Humans; D007362:Intensive Care Units / Q000191:economics*; D008297:Male; D008505:Medical Staff, Hospital / Q000191:economics* / Q000600:supply & distribution*; D008875:Middle Aged; D009551:Night Care / Q000458:organization & administration*; D010561:Personnel Staffing and Scheduling / Q000191:economics*; D000078329:Workforce