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A Software Program to Calculate Goodman and Kruskal's Gamma: A Method to Monitor Surgical-Site Infection Rates

Published online by Cambridge University Press:  31 March 2016

Thomas E. Wasser*
Affiliation:
Health Studies Department, Lehigh Valley Hospital, Allentown, Pennsylvania
*
Health Studies Department, Moyer House, Lehigh Valley Hospital, 227 N 17th St, Allentown, PA 18104; e-mail, Thomas.Wasser@lvh.com

Abstract

Several studies have described a need for a valid statistical methodology to facilitate interhospital and intrahospital infection rates for their operative procedures. Physician awareness of postoperative surgical-site infection rates has been demonstrated as an effective means to reduce infection rates in both high- and low-risk surgical patients. This article presents a new software program that allows for simple data entry and provides results including the gamma statistic, sample size, variance, standard error, and Z value and P value of the gamma result. This software also provides a data interpretation table, allowing infectious disease department physicians or staff to determine if a significant relation exists between operative procedure infection rates and patient risk factors.

Type
Information Management
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1998

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References

1. Culver, DH, Horan, TC, Gaynes, RP, et al. Surgical wound infection rates by wound class, operative procedure and patient risk index. Am J Med 1991;91(suppl 3B):152S157S.CrossRefGoogle ScholarPubMed
2. Goodman, LA, Kruskal, WH. Measures of association for cross classifications. J Am Stat Assoc 1954;49:732764.Google Scholar
3. Siegel, S, Castellan, NJ. Nonparametric Statistics for the Behavioral Sciences. 2nd ed. New York, NY: McGraw-Hill Book Company; 1988:291298.Google Scholar
4. SAS Institute Inc. SAS/STAT User's Guide, 1 Version 6. 4th ed. Cary, NC: SAS Institute Inc; 1990:866.Google Scholar
5. Dixon, WJ, ed. BMDP Statistical Software Manual, 1. Berkeley, CA: University of California Press; 1988:264-266, 549550.Google Scholar