The lack of systematic month-to-month variation over one-year periods in ambulatory surgery caseload - Application to anesthesia staffing

Citation
F. Dexter et Rd. Traub, The lack of systematic month-to-month variation over one-year periods in ambulatory surgery caseload - Application to anesthesia staffing, ANESTH ANAL, 91(6), 2000, pp. 1426-1430
Citations number
20
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Aneshtesia & Intensive Care","Medical Research Diagnosis & Treatment
Journal title
ANESTHESIA AND ANALGESIA
ISSN journal
0003-2999 → ACNP
Volume
91
Issue
6
Year of publication
2000
Pages
1426 - 1430
Database
ISI
SICI code
0003-2999(200012)91:6<1426:TLOSMV>2.0.ZU;2-R
Abstract
Anesthesia groups forecast future workload so that staffing and future hiri ng can be adjusted. Statistical methods have been developed to estimate the number of anesthesia providers needed to minimize labor costs during regul arly scheduled hours, second-shifts, and weekends. These methods are simple , in that they assume that, on this medium-range (11-mo) basis, workload va ries irregularly around a mean workload. To test whether this assumption is likely to hold for many anesthesia groups nationwide, raw data from the 19 94 to 1996 National Survey of Ambulatory Surgery were reanalyzed. To assure that month-to-month systematic variation in workload (e.g., seasonal varia tion) could be detected if it were present, the average number of myringoto my tubes inserted each day in ambulatory surgery centers of the United Stat es was also examined. The average number of ambulatory surgery cases perfor med with an anesthesia provider each day in the United States per 10,000 po pulation was found to have not varied systematically month to month on a me dium-range (11-mo) basis. In contrast, the average number of tubes inserted each day varied systematically among months for all 26 of the overlapping 11-mo periods in the 36 mo of the survey. These findings suggest that the r elatively simple statistical methods that are available to estimate future anesthesia workload will work for many anesthesia groups.