Can the attending anesthesiologist accurately predict the duration of anesthesia induction?

被引:19
作者
Ehrenwerth, Jan
Escobar, Alejandro
Davis, Elizabeth A.
Watrous, Gail A.
Fisch, Gene S.
Kain, Zeev N.
Barash, Paul G.
机构
[1] Yale Univ, Sch Med, Dept Anesthesiol, New Haven, CT 06520 USA
[2] Yale Univ, Sch Med, Gen Clin Res Ctr, New Haven, CT 06520 USA
[3] Yale New Haven Med Ctr, New Haven, CT 06504 USA
关键词
D O I
10.1213/01.ane.0000232445.44641.5f
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
In a prospective, observational study, the attending anesthesiologists' prediction of anesthesia release time (ART) of the patient to the surgical team was highly correlated with actual ART (r = 0.77; P <= 0.001). However, this was true only in the aggregate (n = 1265 patients). Indeed, offsetting degrees of under- and over-predicting (24% each) reduced accuracy to only 53% per individual case. For example, under-prediction was associated with ASA physical status IV, a regional anesthetic technique, age > 65 yr, and the use of invasive hemodynamic monitoring (P = 0.006). In fact, as the degree of case difficulty increased, the correlation coefficient between predicted and actual ART decreased, indicating a poor predictive value with more difficult inductions (r = 0.82 to r = 0.44; P <= 0.004). We conclude that knowledge of the presence of specific factors that lead to inaccurate predictions of time required for induction of anesthesia may enhance the accuracy of the operating room schedule.
引用
收藏
页码:938 / 940
页数:3
相关论文
共 7 条
[1]   Resident teaching versus the operating room schedule: An independent observer-based study of 1558 cases [J].
Davis, Elizabeth A. ;
Escobar, Alejandro ;
Ehrenwerth, Jan ;
Watrous, Gail A. ;
Fisch, Gene S. ;
Kain, Zeev N. ;
Barash, Paul G. .
ANESTHESIA AND ANALGESIA, 2006, 103 (04) :932-937
[2]   Applications of information systems to operating room scheduling [J].
Dexter, F ;
Macario, A .
ANESTHESIOLOGY, 1996, 85 (06) :1232-1234
[3]   How to release allocated operating room time to increase efficiency: Predicting which surgical service will have the most underutilized operating room time [J].
Dexter, F ;
Traub, RD ;
Macario, A .
ANESTHESIA AND ANALGESIA, 2003, 96 (02) :507-512
[4]   Decrease in case duration required to complete an additional case during regularly scheduled hours in an operating room suite: A computer simulation study [J].
Dexter, F ;
Macario, A .
ANESTHESIA AND ANALGESIA, 1999, 88 (01) :72-76
[5]   Task analysis of the preincision surgical period: An independent observer-based study of 1558 cases [J].
Escobar, Alejandro ;
Davis, Elizabeth A. ;
Ehrenwerth, Jan ;
Watrous, Gail A. ;
Fisch, Gene S. ;
Kain, Zeev N. ;
Barash, Paul G. .
ANESTHESIA AND ANALGESIA, 2006, 103 (04) :922-927
[6]   Surgeon and type of anesthesia predict variability in surgical procedure times [J].
Strum, DP ;
Sampson, AR ;
May, JH ;
Vargas, LG .
ANESTHESIOLOGY, 2000, 92 (05) :1454-1466
[7]   Statistical modeling to predict elective surgery time - Comparison with a computer scheduling system and surgeon-provided estimates [J].
Wright, IH ;
Kooperberg, C ;
Bonar, BA ;
Bashein, G .
ANESTHESIOLOGY, 1996, 85 (06) :1235-1245