Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-24T22:36:06.458Z Has data issue: false hasContentIssue false

Use of Medicare Claims to Identify US Hospitals with a High Rate of Surgical Site Infection after Hip Arthroplasty

Published online by Cambridge University Press:  02 January 2015

Michael S. Calderwood*
Affiliation:
Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
Ken Kleinman
Affiliation:
Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
Dale W. Bratzler
Affiliation:
Oklahoma Foundation for Medical Quality, Oklahoma City, Oklahoma University of Oklahoma Health Sciences Center, College of Public Health, Oklahoma City, Oklahoma
Allen Ma
Affiliation:
Oklahoma Foundation for Medical Quality, Oklahoma City, Oklahoma
Christina B. Bruce
Affiliation:
Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
Rebecca E. Kaganov
Affiliation:
Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
Claire Canning
Affiliation:
Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
Richard Piatt
Affiliation:
Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
Susan S. Huang
Affiliation:
University of California Irvine School of Medicine, Irvine, California
*
Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, 133 Brookline Avenue, 6th Floor, Boston, MA 02115 ([email protected])

Abstract

Objective.

To assess the ability of Medicare claims to identify US hospitals with high rates of surgical site infection (SSI) after hip arthroplasty.

Design.

Retrospective cohort study.

Setting.

Acute care US hospitals.

Participants.

Fee-for-service Medicare patients 65 years of age and older who underwent hip arthroplasty in US hospitals from 2005 through 2007.

Methods.

Hospital rankings were derived from claims codes suggestive of SSI, adjusted for age, sex, and comorbidities, while using generalized linear mixed models to account for hospital volume. Medical records were obtained for validation of infection on a random sample of patients from hospitals ranked in the best and worst deciles of performance. We then calculated the risk-adjusted odds of developing a chart-confirmed SSI after hip arthroplasty in hospitals ranked by claims into worst- versus best-performing deciles.

Results.

Among 524,892 eligible Medicare patients who underwent hip arthroplasty at 3,296 US hospitals, a patient who underwent surgery in a hospital ranked in the worst-performing decile based on claims-based evidence of SSI had 2.9-fold higher odds of developing a chart-confirmed SSI relative to a patient with the same age, sex, and comorbidities in a hospital ranked in the best-performing decile (95% confidence interval, 2.2-3.7).

Conclusions.

Medicare claims successfully distinguished between hospitals with high and low SSI rates following hip arthroplasty. These claims can identify potential outlier hospitals that merit further evaluation. This strategy can also be used to validate the completeness of public reporting of SSI.

Type
Original Article
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2013

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. HCUPnet: a tool for identifying, tracking, and analyzing national hospital statistics. http://hcupnet.ahrq.gov/HCUPnet.app/. Accessed December 22, 2011.Google Scholar
2. Bozic, KJ, Ries, MD. The impact of infection after total hip arthroplasty on hospital and surgeon resource utilization. J Bone Joint Surg Am 2005;87(8):17461751.Google Scholar
3. Centers for Medicare and Medicaid Services (CMS), Department of Health and Human Services. Medicare program; hospital inpatient value-based purchasing program; final rule. Federal Register 2011;76(88):2649026547.Google Scholar
4. Centers for Disease Control and Prevention. National Healthcare Safety Network (NHSN). http://www.cdc.gov/nhsn/. Accessed February 14, 2012.Google Scholar
5. Barnes, S, Salemi, C, Fithian, D, Akiyama, L, Barron, D, Hoare, K. An enhanced benchmark for prosthetic joint replacement infection rates. Am J Infect Control 2006;34(10):669672.10.1016/j.ajic.2006.04.207Google Scholar
6. Huotari, K, Lyytikainen, O; Hospital Infection Surveillance Team. Impact of post-discharge surveillance on the rate of surgical site infection after orthopedic surgery. Infect Control Hosp Epidemiol 2006;27(12):13241329.10.1086/509840Google Scholar
7. Yokoe, DS, Avery, TR, Huang, SS. Surgical site infection surveillance following total hip and knee arthroplasty using California administrative data. In: Program and abstracts of the 21st Annual Scientific Meeting of the Society for Healthcare Epidemiology of America (SHEA). Dallas, TX: SHEA, 2011. Abstract 619.Google Scholar
8. Platt, R, Yokoe, DS, KE, Sands; the Centers for Disease Control and Prevention Eastern Massachusetts Prevention Epicenter In-verstigators. Automated methods for surveillance of surgical site infections. Emerg Infect Dis 2001;7(2):212216.10.3201/eid0702.010212Google Scholar
9. Anderson, DJ, Chen, LF, Sexton, DJ, Kaye, KS. Complex surgical site infections and the devilish details of risk adjustment: important implications for public reporting. Infect Control Hosp Epidemiol 2008;29(10):941946.10.1086/591457Google Scholar
10. Hirschhorn, LR, Currier, JS, Platt, R. Electronic surveillance of antibiotic exposure and coded discharge diagnoses as indicators of postoperative infection and other quality assurance measures. Infect Control Hosp Epidemiol 1993;14:2128.10.2307/30146509Google Scholar
11. Sands, K, Vineyard, G, Livingston, J, Christiansen, C, Platt, R. Efficient identification of postdischarge surgical site infections: use of automated pharmacy dispensing information, administrative data, and medical record information. J Infect Dis 1999; 179:434441.10.1086/314586Google Scholar
12. Sands, KE, Yokoe, DS, Hooper, DC, et al. Detection of postoperative surgical-site infections: comparison of health plan-based surveillance with hospital-based programs. Infect Control Hosp Epidemiol 2003;24:741743.10.1086/502123Google Scholar
13. Yokoe, DS, Noskin, GA, Cunnigham, SM, et al. Enhanced identification of postoperative infections among inpatients. Emerg Infect Dis 2004;10:19241930.10.3201/eid1011.040572Google Scholar
14. Miner, AL, Sands, KE, Yokoe, DS, et al. Enhanced identification of postoperative infections among outpatients. Emerg Infect Dis 2004;10:19311937.10.3201/eid1011.040784Google Scholar
15. Kurtz, SM, Lau, E, Schmier, J, Ong, KL, Zhao, K, Parvizi, J. Infection burden for hip and knee arthroplasty in the United States. J Arthroplasty 2008;23(7):984991.10.1016/j.arth.2007.10.017Google Scholar
16. Huang, SS, Placzek, H, Livingston, J, et al. Use of Medicare claims to rank hospitals by surgical site infection (SSI) risk following coronary artery bypass graft surgery. Infect Control Hosp Epidemiol 2011;32(8):775783.10.1086/660874Google Scholar
17. Calderwood, MS, Ma, A, Khan, YM, et al. Use of Medicare diagnosis and procedures codes to improve detection of surgical site infections following hip arthroplasty, knee arthroplasty, and vascular surgery. Infect Control Hosp Epidemiol 2012;33(1): 4049.10.1086/663207Google Scholar
18. 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;36:309332.10.1016/j.ajic.2008.03.002Google Scholar
19. The Specifications Manual for National Hospital Inpatient Quality Measures (Specifications Manual), Published by the Centers for Medicare and Medicaid Services and the Joint Commission. http://www.jointcommission.org/specifications_manual_for_national_hospital_inpatient_quality_measures/. Accessed December 22, 2011.Google Scholar
20. Schneeweiss, S, Seeger, JD, Maclure, M, Wang, PS, Avorn, J, Glynn, RJ. Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol 2001;154(9):854864.10.1093/aje/154.9.854Google Scholar
21. Schneeweiss, S, Wang, PS, Avorn, J, Glynn, RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res 2003;38(4):11031120.10.1111/1475-6773.00165Google Scholar
22. Ridgeway, S, Wilson, J, Charlet, A, Kafatos, G, Pearson, A, Coello, R. Infection of the surgical site after arthroplasty of the hip. J Bone Joint Surg Br 2005;87(6):844850.10.1302/0301-620X.87B6.15121Google Scholar
23. Willis-Owen, CA, Konyves, A, Martin, DK. Factors affecting the incidence of infection in hip and knee replacement: an analysis of 5277 cases. J Bone Joint Surg Br 2010;92(8):11281133.10.1302/0301-620X.92B8.24333Google Scholar
24. Dale, H, Skråmm, I, Løwer, HL, et al. Infection after primary hip arthroplasty: a comparison of 3 Norwegian health registers. Acta Orthop 2011;82(6):646654.10.3109/17453674.2011.636671Google Scholar
25. Bolon, MK, Hooper, D, Stevenson, KB, et al. Improved surveillance for surgical site infections after orthopedic implantation procedures: extending applications for automated data. Clin Infect Dis 2009;48:12231229.10.1086/597584Google Scholar
26. Kirkland, KB, Briggs, JP, Trivette, SL, Wilkinson, WE, Sexton, DJ. The impact of surgical-site infections in the 1990s: attributable mortality, excess length of hospitalization, and extra costs. Infect Control Hosp Epidemiol 1999;20(11):725730.10.1086/501572Google Scholar
27. Poulsen, KB, Wachmann, CH, Bremmelgaard, A, Sorensen, AI, Raahave, D, Petersen, JV. Survival of patients with surgical wound infection: a case-control study of common surgical interventions. Br J Surg 1995;82(2):208209.10.1002/bjs.1800820222Google Scholar
28. Kaye, KS, Anderson, DJ, Sloane, R, et al. The effect of surgical site infection on older operative patients. J Am Geriatr Soc 2009; 57(1):4654.10.1111/j.1532-5415.2008.02053.xGoogle Scholar
29. Leekha, S, Sampathkumar, P, Berry, DJ, Thompson, RL. Should national standards for reporting surgical site infections distinguish between primary and revision orthopedic surgeries? Infect Control Hosp Epidemiol 2010;31(5):503508.10.1086/652156Google Scholar
30. State-based HAI prevention, http://www.cdc.gov/hai/stateplans/required-to-report-hai-NHSN.html/. Accessed June 18, 2012.Google Scholar
31. Haley, VB, Van Antwerpen, C, Tserenpuntsag, B, et al. Use of administrative data in efficient auditing of hospital-acquired surgical site infections, New York State 2009-2010. Infect Control Hosp Epidemiol 2012;33(6):565571.10.1086/665710Google Scholar