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

  • Thomas E. Wasser (a1)


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.


Corresponding author

Health Studies Department, Moyer House, Lehigh Valley Hospital, 227 N 17th St, Allentown, PA 18104; e-mail,


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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.
2.Goodman, LA, Kruskal, WH. Measures of association for cross classifications. J Am Stat Assoc 1954;49:732764.
3.Siegel, S, Castellan, NJ. Nonparametric Statistics for the Behavioral Sciences. 2nd ed. New York, NY: McGraw-Hill Book Company; 1988:291298.
4.SAS Institute Inc. SAS/STAT User's Guide, 1 Version 6. 4th ed. Cary, NC: SAS Institute Inc; 1990:866.
5.Dixon, WJ, ed. BMDP Statistical Software Manual, 1. Berkeley, CA: University of California Press; 1988:264-266, 549550.


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