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The Impact of Healthcare-Associated Methicillin-Resistant Staphylococcus Aureus Infections on Post-Discharge Healthcare Costs and Utilization

Published online by Cambridge University Press:  26 February 2015

Richard E. Nelson*
Affiliation:
Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Makoto Jones
Affiliation:
Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Chuan-Fen Liu
Affiliation:
Veterans Affairs Puget Sound Health Care System, Seattle, Washington Department of Health Services, University of Washington, Seattle, Washington
Matthew H. Samore
Affiliation:
Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Martin E. Evans
Affiliation:
Lexington Veterans Affairs Medical Center, Lexington, Kentucky MRSA/MDRO Program, National Infectious Diseases Service, Veterans Health Administration, Lexington, Kentucky Department of Internal Medicine, University of Kentucky, Lexington, Kentucky
Nicholas Graves
Affiliation:
School of Public Health and Institute for Health & Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
Bruce Lee
Affiliation:
Department of International Health, Johns Hopkins University, Baltimore, Maryland
Michael A. Rubin
Affiliation:
Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
*
Address all correspondence to Richard E. Nelson, PhD, 500 Foothill Blvd, Salt Lake City, UT 84148 ([email protected]).

Abstract

OBJECTIVE

Healthcare-associated methicillin-resistant Staphylococcus aureus (MRSA) infections are a major cause of morbidity, mortality, and cost among hospitalized patients. Little is known about their impact on post-discharge resource utilization. The purpose of this study was to estimate post-discharge healthcare costs and utilization attributable to positive MRSA cultures during a hospitalization.

METHODS

Our study cohort consisted of patients with an inpatient admission lasting longer than 48 hours within the US Department of Veterans Affairs (VA) system between October 1, 2007, and November 30, 2010. Of these patients, we identified those with a positive MRSA culture from microbiology reports in the VA electronic medical record. We used propensity score matching and multivariable regression models to assess the impact of positive culture on post-discharge outpatient, inpatient, and pharmacy costs and utilization in the 365 days following discharge.

RESULTS

Our full cohort included 369,743 inpatients, of whom, 3,599 (1.0%) had positive MRSA cultures. Our final analysis sample included 3,592 matched patients with and without positive cultures. We found that, in the 12 months following hospital discharge, having a positive culture resulted in increases in post-discharge pharmacy costs ($776, P<.0001) and inpatient costs ($12,167, P<.0001). Likewise, having a positive culture increased the risk of a readmission (odds ratio [OR]=1.396, P<.0001), the number of prescriptions (incidence rate ratio [IRR], 1.138; P<.0001) and the number of inpatient days (IRR, 1.204; P<.0001,) but decreased the number of subsequent outpatient encounters (IRR, 0.941; P<.008).

CONCLUSIONS

The results of this study indicate that MRSA infections are associated with higher levels of post-discharge healthcare cost and utilization. These findings indicate that financial benefits resulting from infection prevention efforts may extend beyond the initial hospital stay.

Infect Control Hosp Epidemiol 2015;00(0): 1–9

Type
Original Articles
Copyright
© 2015 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

1. Zimlichman, E, Henderson, D, Tamir, O, et al. Health care-associated infections: a meta-analysis of costs and financial impact on the US health care system. JAMA Intern Med 2013;173:20392046.CrossRefGoogle ScholarPubMed
2. Brown, J, Doloresco Iii, F, Mylotte, JM. "Never events": not every hospital-acquired infection is preventable. Clin Infect Dis 2009;49:743746.Google Scholar
3. Dantes, R, Mu, Y, Belflower, R, et al. National burden of invasive methicillin-resistant Staphylococcus aureus infections, United States, 2011. JAMA Intern Med 2013;173:19701978.Google Scholar
4. Noskin, GA, Rubin, RJ, Schentag, JJ, et al. The burden of Staphylococcus aureus infections on hospitals in the United States: an analysis of the 2000 and 2001 Nationwide Inpatient Sample Database. Arch Intern Med 2005;165:17561761.Google Scholar
5. Shorr, AF, Tabak, YP, Gupta, V, Johannes, RS, Liu, LZ, Kollef, MH. Morbidity and cost burden of methicillin-resistant Staphylococcus aureus in early onset ventilator-associated pneumonia. Crit Care 2006;10:R97.Google Scholar
6. Emerson, CB, Eyzaguirre, LM, Albrecht, JS, Comer, AC, Harris, AD, Furuno, JP. Healthcare-associated infection and hospital readmission. Infect Control Hosp Epidemiol 2012;33:539544.Google Scholar
7. Dick, A, Liu, H, Zwanziger, J, et al. Long-term survival and healthcare utilization outcomes attributable to sepsis and pneumonia. BMC Health Serv Res 2012;12:432.CrossRefGoogle ScholarPubMed
8. Anderson, DJ, Kaye, KS, Chen, LF, et al. Clinical and financial outcomes due to methicillin resistant Staphylococcus aureus surgical site infection: a multi-center matched outcomes study. PloS One 2009;4:e8305.Google Scholar
9. Filice, GA, Nyman, JA, Lexau, C, et al. Excess costs and utilization associated with methicillin resistance for patients with Staphylococcus aureus infection. Infect Control Hosp Epidemiol 2010;31:365373.CrossRefGoogle ScholarPubMed
10. Graves, N, Halton, K, Curtis, M, et al. Costs of surgical site infections that appear after hospital discharge. Emerg Infect Dis 2006;12:831834.CrossRefGoogle ScholarPubMed
11. Perencevich, EN, Sands, KE, Cosgrove, SE, Guadagnoli, E, Meara, E, Platt, R. Health and economic impact of surgical site infections diagnosed after hospital discharge. Emerg Infect Dis 2003;9:196203.Google Scholar
12. Neily, J, Mills, PD, Young-Xu, Y, et al. Association between implementation of a medical team training program and surgical mortality. JAMA 2010;304:16931700.CrossRefGoogle ScholarPubMed
13. Jain, R, Kralovic, SM, Evans, ME, et al. Veterans Affairs initiative to prevent methicillin-resistant Staphylococcus aureus infections. N Engl J Med 2011;364:14191430.CrossRefGoogle ScholarPubMed
14. Jones, M, DuVall, SL, Spuhl, J, Samore, MH, Nielson, C, Rubin, M. Identification of methicillin-resistant Staphylococcus aureus within the nation’s Veterans Affairs medical centers using natural language processing. BMC Med Inform Decis Mak 2012;12:34.CrossRefGoogle ScholarPubMed
15. Prosser, LA, Ray, GT, O’Brien, M, Kleinman, K, Santoli, J, Lieu, TA. Preferences and willingness to pay for health states prevented by pneumococcal conjugate vaccine. Pediatrics 2004;113:283290.Google Scholar
17. McCully, CP, Moyer, BC, Stewart, KJ. Comparing the consumer price index and the personal consumption expenditures price index. Surv Curr Bus 2007;Nov:2633.Google Scholar
18. Graves, N, Harbarth, S, Beyersmann, J, Barnett, A, Halton, K, Cooper, B. Estimating the cost of health care-associated infections: mind your p’s and q’s. Clin Infect Dis 2010;50:10171021.CrossRefGoogle ScholarPubMed
19. Horan, TC, Andrus, M, Dudeck, MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control 2008;36:309332.Google Scholar
20. Branch-Elliman, W, Strymish, J, Gupta, K. Development and validation of a simple and easy-to-employ electronic algorithm for identifying clinical methicillin-resistant Staphylococcus aureus infection. Infect Control Hosp Epidemiol 2014;35:692698.CrossRefGoogle ScholarPubMed
21. Gagne, JJ, Glynn, RJ, Avorn, J, Levin, R, Schneeweiss, S. A combined comorbidity score predicted mortality in elderly patients better than existing scores. J Clin Epidemiol 2011;64:749759.Google Scholar
22. Manning, WG, Basu, A, Mullahy, J. Generalized modeling approaches to risk adjustment of skewed outcomes data. J Health Econ 2005;24:465488.Google Scholar
23. Mullahy, J. Much ado about two: reconsidering retransformation and the two-part model in health econometrics. J Health Econ 1998;17:247281.Google Scholar
24. Jones, AM. Models for Health Care. Oxford University Press; 2011.Google Scholar
25. Austin, PC, Grootendorst, P, Anderson, GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med 2007;26:734753.CrossRefGoogle ScholarPubMed
26. Lunt, M. Selecting an appropriate caliper can be essential for achieving good balance with propensity score matching. Am J Epidemiol 2014;179:226235.Google Scholar
27. Austin, PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat 2011;10:150161.CrossRefGoogle ScholarPubMed
28. Austin, PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res 2011;46:399424.Google Scholar
29. Huang, SS, Hinrichsen, VL, Datta, R, et al. Methicillin-resistant Staphylococcus aureus infection and hospitalization in high-risk patients in the year following detection. PloS One 2011;6:e24340.Google Scholar
30. Su, CH, Chang, SC, Yan, JJ, Tseng, SH, Chien, LJ, Fang, CT. Excess mortality and long-term disability from healthcare-associated Staphylococcus aureus infections: a population-based matched cohort study. PloS One 2013;8:e71055.CrossRefGoogle ScholarPubMed
31. Jencks, SF, Williams, MV, Coleman, EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med 2009;360:14181428.CrossRefGoogle ScholarPubMed
32. Hawkes, M, Richardson, SE, Ipp, M, Schuh, S, Adachi, D, Tran, D. Sensitivity of rapid influenza diagnostic testing for swine-origin 2009 a (H1N1) influenza virus in children. Pediatrics 2010;125:e639644.Google Scholar
33. Schweizer, ML, Eber, MR, Laxminarayan, R, et al. Validity of ICD-9-CM coding for identifying incident methicillin-resistant Staphylococcus aureus (MRSA) infections: is MRSA infection coded as a chronic disease? Infect Control Hosp Epidemiol 2011;32:148154.Google Scholar
34. Rice, DP. Cost of illness studies: what is good about them? Inj Prev 2000;6:177179.Google Scholar
35. Hidron, AI, Edwards, JR, Patel, J, et al. NHSN annual update: antimicrobial-resistant pathogens associated with healthcare-associated infections: annual summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2006–2007. Infect Control Hosp Epidemiol 2008;29:9961011.CrossRefGoogle Scholar
36. Klevens, RM, Morrison, MA, Nadle, J, et al. Invasive methicillin-resistant Staphylococcus aureus infections in the United States. JAMA 2007;298:17631771.Google Scholar
37. Borowsky, SJ, Cowper, DC. Dual use of VA and non-VA primary care. J Gen Intern Med 1999;14:274280.Google Scholar
38. Hynes, DM, Koelling, K, Stroupe, K, et al. Veterans’ access to and use of Medicare and Veterans Affairs health care. Med Care 2007;45:214223.Google Scholar
39. Liu, CF, Bolkan, C, Chan, D, Yano, EM, Rubenstein, LV, Chaney, EF. Dual use of VA and non-VA services among primary care patients with depression. J Gen Intern Med 2009;24:305311.Google Scholar