Economic implications of nighttime attending intensivist coverage in a medical intensive care unit
- PMID: 21317642
- PMCID: PMC3102128
- DOI: 10.1097/CCM.0b013e31820ee1df
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.
Design: 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.
Setting: A large academic center in the Midwest.
Patients: 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.
Intervention: Changing the intensive care unit staffing model from on-demand presence to mandatory 24-hr in-house critical care specialist presence.
Measurements and main 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.
Conflict of interest statement
The remaining authors have not disclosed any potential conflicts of interest.
Comment in
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Is the time right for 24-hr/7-day coverage?Crit Care Med. 2011 Jun;39(6):1544-5. doi: 10.1097/CCM.0b013e31821856ba. Crit Care Med. 2011. PMID: 21610613 No abstract available.
References
-
- Gajic O, Afessa B. Physician staffing models and patient safety in the ICU. Chest. 2009;135(4):1038–44. - PubMed
-
- Pronovost PJ, Angus DC, Dorman T, Robinson KA, Dremsizov TT, Young TL. Physician staffing patterns and clinical outcomes in critically ill patients: a systematic review. JAMA. 2002;288(17):2151–62. - PubMed
-
- Pronovost PJ, Needham DM, Waters H, et al. Intensive care unit physician staffing: financial modeling of the Leapfrog standard. Critical Care Medicine. 2004;32(6):1247–53. Reprint in Crit Care Med. 2006 Mar;34(3 Suppl):S18-24. - PubMed
-
- Haupt MT, Bekes CE, Brilli RJ, et al. Guidelines on critical care services and personnel: Recommendations based on a system of categorization of three levels of care. Critical Care Medicine. 2003;31(11):2677–83. - PubMed
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