|
|
October 16-20, 2010 San Diego, CA Home Abstract Archive Search Abstracts 2010 Session Grid 2010 Meeting Website Policy Statements ASA Website Feedback 
Visit Anesthesiology.org |
| Previous Abstract | Next Abstract |
| Printable Version |
|
A1174
October 26, 2005 2:00:00 PM - 3:30:00 PM Room C303 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Analyses of Surgical Schedule Outcomes Suggest Cyclical Variations in Services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
David P. Strum, M.D., F.R.C.P.C., Luis G. Vargas, Ph.D. Department of Anesthesiology, Queen's University, Kingston, Ontario, Canada |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
INTRODUCTION: To decide what constitutes a good schedule, metrics are needed to evaluate patterns within surgical schedules. We described 9 schedule outcomes (1) and surveyed them to determine their association with independent factors year, month, weekday, and number of patients (NoPts). METHODS: With institutional approval, we studied 58,312 surgeries performed in 18 operating rooms over 1,590 weekdays at a large academic medical center (2). Schedule outcome metrics were evaluated using historical case records and computerized subroutines written in Allegro LISP. Schedule outcomes included wait time, total time, regular time, overtime, idle time, flow time (wait time + surgical time), surgical demand, capacity, and budgeted time. To evaluate the association of independent variables (year, month, weekday, number of patients) with schedule outcome metrics, we surveyed outcomes using main effects general linear models and tabulated the resultant p-values. RESULTS: Schedule outcomes varied with all independent factors (p < 0.01) for all outcomes except wait time (that did not vary with respect to independent factor month). Independent factors explained 60% or more of the variation in the dependent variables for 7/9 schedule outcomes (range 37-83%). Regression coefficients for the independent variable NoPts were positive greater than one for all except 2 schedule outcomes.[table1]CONCLUSIONS: To reduce costs and allocate resources appropriately it is important to anticipate cyclical variations in surgical services. Our analyses suggest important cyclical variations are evident in schedule outcomes. REFERENCES: 1. Strum et al: Anesthesia Analgesia 98:S78; 2004. 2. Bashein et al: Anesthesia Analgesia 64:425-431; 1985. Anesthesiology 2005; 103: A1174 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|