Use of medicare diagnosis and procedure codes to improve detection of surgical site infections following hip arthroplasty, knee arthroplasty, and vascular surgery

Infection Control and Hospital Epidemiology

Volumn 33, Issue 1, 2012, Pages 40-49

  Calderwood, Michael S ^a   Ma, Allen ^b   Khan, Yosef M ^c   Olsen, Margaret A ^d   Bratzler, Dale W ^b,e   Yokoe, Deborah S ^f   Hooper, David C ^g   Stevenson, Kurt ^c   Fraser, Victoria J ^d   Platt, Richard ^a   Huang, Susan S ^h  

^a HARVARD MEDICAL SCHOOL   (United States)

^b Oklahoma Foundation for Medical Quality   (United States)

^c THE OHIO STATE UNIVERSITY WEXNER MEDICAL CENTER   (United States)

^d WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF OKLAHOMA HEALTH SCIENCES CENTER   (United States)

^f BRIGHAM AND WOMEN S HOSPITAL   (United States)

^g MASSACHUSETTS GENERAL HOSPITAL   (United States)

^h UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; CENTERS FOR DISEASE CONTROL AND PREVENTION; DISEASE SURVEILLANCE; ELECTRONIC MEDICAL RECORD; FEMALE; HEALTH CARE ORGANIZATION; HEALTH PROGRAM; HIP ARTHROPLASTY; HUMAN; KNEE ARTHROPLASTY; MALE; MEDICAL RECORD REVIEW; MEDICARE; NATIONAL HEALTHCARE SAFETY NETWORK; REVIEW; SURGICAL CARE IMPROVEMENT PROJECT; SURGICAL INFECTION; VASCULAR SURGERY;

AGED; AGED, 80 AND OVER; ARTHROPLASTY, REPLACEMENT, HIP; ARTHROPLASTY, REPLACEMENT, KNEE; FEMALE; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MEDICAL RECORDS; MEDICARE; POPULATION SURVEILLANCE; RETROSPECTIVE STUDIES; SURGICAL WOUND INFECTION; UNITED STATES; VASCULAR SURGICAL PROCEDURES;

EID: 84055177492     PISSN: 0899823X     EISSN: None     Source Type: Journal    
DOI: 10.1086/663207     Document Type: Review

References (24)

1. Klevens RM, Edwards JR, Richards CL Jr, et al. Estimating health care-associated infections and deaths in U.S. hospitals, 2002. Public Health Rep 2007;122:160-166.
2. Scott RD II. The Direct Medical Costs of Healthcare-Associated Infections in U.S. Hospitals and the Benefits of Prevention. Atlanta: Centers for Disease Control and Prevention, 2009. http://www.cdc.gov/ncidod/dhqp/pdf/Scott_CostPaper.pdf.
3. Sands K, Vineyard G, Platt R. Surgical site infections occurring after hospital discharge. J Infect Dis 1996;173:963-970.
4. Avato JL, Lai KK. Impact of postdischarge surveillance on surgical-site infection rates for coronary artery bypass procedures. Infect Control Hosp Epidemiol 2002;23:364-367.
5. 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;14:21-28.
6. Yokoe DS, Shapiro M, Simchen E, Platt R. Use of antibiotic exposure to detect postoperative infections. Infect Control Hosp Epidemiol 1998;19:317-322.
7. 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; 179:434-441.
8. 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;24:741-743.
9. Yokoe DS, Noskin GA, Cunnigham SM, et al. Enhanced identification of postoperative infections among inpatients. Emerg Infect Dis 2004;10:1924-1930.
10. Miner AL, Sands KE, Yokoe DS, et al. Enhanced identification of postoperative infections among outpatients. Emerg Infect Dis 2004;10:1931-1937.
11. Platt R, Kleinman K, Thompson K, et al. Using automated health plan data to assess infection risk from coronary artery bypass surgery. Emerg Infect Dis 2002;8:1433-1441.
12. 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;32:775-783.
13. QualityNet. Specifications Manual for National Hospital Inpatient Quality Measures. Version 3.3a, March 28, 2011. http://www.qualitynet.org/dcs/ContentServer?cpPage&pagenamep QnetPublic%2FPage%2FQnetTier4&cidp1228760129036.
14. Lankiewicz JD, Huang SS, Yokoe DS, Olsen MA, Platt R. Beyond 30 days: does limiting the duration of SSI follow-up limit detection? In: Program and Abstracts of the 21st Annual Scientific Meeting of the Society for Healthcare Epidemiology of America (SHEA); April 1-4, 2011; Dallas. Abstract 564.
15. 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;36:309-332.
16. 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;48:1223-1229.
17. Yokoe DS, Vostok J, Olson MA, et al. Multicenter evaluation of enhanced methods for inpatient surgical site infection surveillance following hysterectomy, colorectal, and vascular procedures. In: Program and Abstracts of the 19th Annual Scientific Meeting of the Society for Healthcare Epidemiology of America (SHEA); March 18-22, 2009; San Diego, CA. Abstract 494.
18. Stevenson KB, Khan Y, Dickman J, et al. Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health care-associated infections. Am J Infect Control 2008; 36:155-164.
19. West J, Khan Y, Murray DM, Stevenson KB. Assessing specific secondary ICD-9-CM codes as potential predictors of surgical site infections. Am J Infect Control 2010;38:701-705.
20. 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); April 1-4, 2011; Dallas. Abstract 619.
21. Healthcare Cost and Utilization Project (HCUP). HCUPnet. Rockville, MD: Agency for Healthcare Research and Quality, 2011. http://hcupnet.ahrq.gov.
22. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373-383.
23. 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;154:854-864.
24. Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res 2003;38:1103-1120.