Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-29T08:12:06.100Z Has data issue: false hasContentIssue false

Nonrandom Selection and The Attributable Cost of Surgical-Site Infections

Published online by Cambridge University Press:  02 January 2015

Christopher S. Hollenbeak*
Affiliation:
Departments of Surgery and Health Evaluation Sciences, Penn State College of Medicine, Hershey; and the Department of Health Studies, Lehigh Valley Hospital, Allentown, Pennsylvania
Denise Murphy
Affiliation:
BJC Health System, Washington University School of Medicine, St. Louis, Missouri
William C. Dunagan
Affiliation:
BJC Health System, Washington University School of Medicine, St. Louis, Missouri Washington University School of Medicine, St. Louis, Missouri
Victoria J. Fraser
Affiliation:
BJC Health System, Washington University School of Medicine, St. Louis, Missouri Washington University School of Medicine, St. Louis, Missouri
*
Department of Surgery, Penn State College of Medicine, P.O. Box 850, M.C. H113, Hershey, PA 17033

Abstract

Objective:

To study the extent to which selection bias poses problems for estimating the attributable cost of deep chest surgical-site infection (SSI) following coronary artery bypass graft (CABG) surgery.

Design:

Reanalysis of a prospective case–control study.

Setting:

A large, Midwestern community medical center.

Patients:

Cases were all patients who had an SSI (N = 41) following CABG and CABG and valve surgery between April 1996 and March 1998. Controls were every tenth uninfected patient (N = 160).

Methods:

Estimates of the attributable cost of deep chest SSI were computed using unmatched comparison, matched comparison, linear regression, and Heckman's two-stage approach.

Results:

The attributable cost of deep chest SSI was estimated to be $20,012 by unmatched comparison, $19,579 by matched comparison, $20,103 by linear regression, and $14,211 by Heckman's two-stage method. Controlling for selection bias substantially reduced the cost estimate, but the coefficient capturing selection bias was not statistically significant.

Conclusions:

Deep chest SSI significantly increases the cost of care for patients who undergo CABG surgery. Unmatched comparison, matched comparison, and linear regression estimated the attributable cost to be approximately $20,000. Although controlling for selection bias with Heckman's two-stage method resulted in a substantially smaller estimate, the coefficient for selection bias was not statistically significant, suggesting that the estimates derived from the other models should be acceptable. However, the magnitude of the difference between the models shows that the effect of selection bias can be substantial. Some exploration for selection bias is recommended when estimating the attributable cost of SSIs.

Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2002

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Zoutman, D, McDonald, S, Vethanayagan, D. Total and attributable costs of surgical-wound infections at a Canadian tertiary-care center. Infect Control Hosp Epidemiol 1998;19:254259.CrossRefGoogle Scholar
2.Hollenbeak, CS, Murphy, DM, Koenig, S, Woodward, RS, Dunagan, WC, Fraser, VJ. The clinical and economic impact of deep chest surgical site infections following coronary artery bypass graft surgery. Chest 2000;118:397402.CrossRefGoogle ScholarPubMed
3.Wakefield, DS, Pfaller, MA, Hammons, GT, Massanari, RM. Use of the appropriateness evaluation protocol for estimating the incremental costs associated with nosocomial infections. Med Care 1987;25:481488.CrossRefGoogle ScholarPubMed
4.Lazar, HL, Fitzgerald, C, Gross, S, Heeren, T, Aldea, GS, Shemin, RJ. Determinants of length of stay after coronary artery bypass graft surgery. Circulation 1995;92:11201124.CrossRefGoogle ScholarPubMed
5.Nelson, RM, Dries, DJ. The economic implications of infection in cardiac surgery. Ann Thorac Surg 1986;42:240246.CrossRefGoogle ScholarPubMed
6.White, IR, Pocock, SJ. Statistical reporting of clinical trials with individual changes from allocated treatment. Stat Med 1996;15:249262.3.0.CO;2-J>CrossRefGoogle ScholarPubMed
7.Heyting, A, Tolboom, JT, Essers, JG. Statistical handling of drop-outs in longitudinal clinical trials. Stat Med 1992;11:20432061.CrossRefGoogle ScholarPubMed
8.Roy, MC. Surgical-site infections after coronary artery bypass graft surgery: discriminating site-specific risk factors to improve prevention efforts. Infect Control Hosp Epidemiol 1998;19:229233.CrossRefGoogle ScholarPubMed
9.The Parisian Mediastinitis Group. Risk factors for deep sternal wound infection after sternotomy: a prospective, multicenter study. J Thorac Cardiovasc Surg 1996;111:12001207.CrossRefGoogle Scholar
10.Demmy, TL, Park, SB, Liebler, GA, et al. Recent experience with major sternal wound complications. Ann Thorac Surg 1990;49:458462.CrossRefGoogle ScholarPubMed
11.Sawyer, RG, Pruett, TL. Wound infections. Surg Clin North Am 1994;74:519536.CrossRefGoogle ScholarPubMed
12.Zacharias, A, Habib, RH. Factors predisposing to median sternotomy complications: deep vs superficial infection. Chest 1996;110:11731178.CrossRefGoogle ScholarPubMed
13.Krueger, H, Goncalves, JL, Caruth, FM, Hayden, RI. Coronary artery bypass grafting: how much does it cost? CMAJ 1992;146:163168.Google ScholarPubMed
14.Mauldin, PD, Becker, ER, Phillips, VL, Weintraub, WS. Hospital resource utilization during coronary artery bypass surgery. Journal of Interventional Cardiology 1994;7:379384.CrossRefGoogle ScholarPubMed
15.Stewart, RD, Lahey, SJ, Levitsky, S, Sanchez, C, Campos, CT. Clinical and economic impact of diabetes following coronary artery bypass. J Surg Res 1998;76:124130.CrossRefGoogle ScholarPubMed
16.Heckman, JJ. Sample selection bias as a specification error. Econometrica 2000;47:153161.CrossRefGoogle Scholar
17.Greene, WG. Econometric Analysis, 2nd ed. New York: Macmillan; 1993.Google Scholar
18.Greene, WG. Sample selection bias as a specification error: a comment. Econometrica 1981;49:795798.CrossRefGoogle Scholar
19.Maddala, GS. Limited-Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press; 1983.CrossRefGoogle Scholar