Transferring critically ill patients out of hospital improves the standardized mortality ratio - A simulation study

被引:75
作者
Kahn, Jeremy M.
Kramer, Andrew A.
Rubenfeld, Gordon D.
机构
[1] Univ Washington, Harbor Med Ctr, Div Pulm & Crit Care, Seattle, WA 98195 USA
[2] Cerner Corp, Kansas City, MO USA
关键词
critical care; intensive care; Monte Carlo method; outcomes assessment; quality indicators;
D O I
10.1378/chest.06-0741
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background: Transferring critically ill patients to other acute care hospitals may artificially impact benchmarking measures. We sought to quantify the effect of out-of-hospital transfers on the standardized mortality ratio (SMR), an outcome-based measure of ICU performance. Methods: We performed a cohort study and Monte Carlo simulation using data from 85 ICUs participating in the acute physiology and chronic health evaluation (APACHE) clinical information system from 2002 to 2003. The SMR (observed divided by expected hospital mortality) was calculated for each ICU using APACHE IV risk adjustment. A set number of patients was randomly assigned to be transferred out alive rather than experience their original outcome. The SMR was recalculated, and the mean simulated SMR was compared to the original. Results: The mean (+/- SD) baseline SMR was 1.06 +/- 0.19. In the simulation, increasing the number of transfers by 2% and 6% over baseline decreased the SMR by 0.10 +/- 0.03 and 0.14 +/- 0.03, respectively. At a 2% increase, 27 ICUs had a decrease in SMR of > 0.10, and two ICUs had a decrease in SMR of > 0.20. Transferring only one additional patient per month was enough to create a bias of > 0.1 in 27 ICUs. Conclusions: Increasing the number of acute care transfers by a small amount can significantly bias the SMR, leading to incorrect inference about ICU quality. Sensitivity to the variation in hospital discharge practices greatly limits the use of the SMR as a quality measure.
引用
收藏
页码:68 / 75
页数:8
相关论文
共 39 条
[1]   Improving care of the critically ill: institutional and health-care system approaches [J].
Angus, DC ;
Black, N .
LANCET, 2004, 363 (9417) :1314-1320
[2]  
[Anonymous], 2003, RISK ADJUSTMENT MEAS
[3]   The effect of publicly reporting hospital performance on market share and risk-adjusted mortality at high-mortality hospitals [J].
Baker, DW ;
Einstadter, D ;
Thomas, C ;
Husak, S ;
Gordon, NH ;
Cebul, RD .
MEDICAL CARE, 2003, 41 (06) :729-740
[4]   Quality of care .1. What is it? [J].
Blumenthal, D .
NEW ENGLAND JOURNAL OF MEDICINE, 1996, 335 (12) :891-894
[5]   Public reporting of surgical mortality: A survey of New York State cardiothoracic surgeons [J].
Burack, JH ;
Impellizzeri, P ;
Homel, P ;
Cunningham, JN .
ANNALS OF THORACIC SURGERY, 1999, 68 (04) :1195-1200
[6]   Outcomes after long-term acute care - An analysis of 133 mechanically ventilated patients [J].
Carson, SS ;
Bach, PB ;
Brzozowski, L ;
Leff, A .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 1999, 159 (05) :1568-1573
[7]   The epidemiology and costs of chronic critical illness [J].
Carson, SS ;
Bach, PB .
CRITICAL CARE CLINICS, 2002, 18 (03) :461-+
[8]   Adverse effect on a referral intensive care unit's performance of accepting patients transferred from another intensive care unit [J].
Combes, A ;
Luyt, CE ;
Trouillet, JL ;
Chastre, J ;
Gibert, C .
CRITICAL CARE MEDICINE, 2005, 33 (04) :705-710
[9]   Intensive care unit quality improvement: A "how-to" guide for the interdisciplinary team [J].
Curtis, JR ;
Cook, DJ ;
Wall, RJ ;
Angus, DC ;
Bion, J ;
Kacmarek, R ;
Kane-Gill, SL ;
Kirchhoff, KT ;
Levy, M ;
Mitchell, PH ;
Moreno, R ;
Pronovost, P ;
Puntillo, K .
CRITICAL CARE MEDICINE, 2006, 34 (01) :211-218
[10]   Risk assessment for inpatient survival in the long-term acute care setting after prolonged critical illness [J].
D'Amico, JED ;
Donnelly, HK ;
Mutlu, GM ;
Feinglass, J ;
Jovanovic, BD ;
Ndukwu, IM .
CHEST, 2003, 124 (03) :1039-1045