Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-22T04:12:36.511Z Has data issue: false hasContentIssue false
  • English
  • Français

Comparison of hospital surgical site infection rates and rankings using claims versus National Healthcare Safety Network surveillance data

Published online by Cambridge University Press:  04 December 2018

Chanu Rhee ,
Rui Wang ,
Maximilian S. Jentzsch ,
Carly Broadwell ,
Heather Hsu ,
Robert Jin ,
Kelly Horan  and
Grace M. Lee
Chanu Rhee*
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
Rui Wang
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts
Maximilian S. Jentzsch
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
Carly Broadwell
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
Heather Hsu
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts Department of Medicine, Boston Children’s Hospital, Boston, Massachusetts
Robert Jin
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts
Kelly Horan
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts
Grace M. Lee
Affiliation:
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
*
Author for correspondence: Chanu Rhee, MD, MPH, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA 02215. E-mail: crhee@bwh.harvard.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

National policies target healthcare-associated infections using medical claims and National Healthcare Safety Network surveillance data. We found low concordance between the 2 data sources in rates and rankings for surgical site infection following colon surgery in 155 hospitals, underscoring the limitations in evaluating hospital quality by claims data.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 40 , Issue 2 , February 2019 , pp. 208 - 210
Copyright
© 2018 by The Society for Healthcare Epidemiology of America. All rights reserved. 

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.)

Footnotes

Cite this article: Rhee C., et al. (2019). Comparison of hospital surgical site infection rates and rankings using claims versus National Healthcare Safety Network surveillance data. Infection Control & Hospital Epidemiology 2019, 40, 208–210. doi: 10.1017/ice.2018.310

References

1. 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.Google Scholar
2. Centers for Medicare and Medicaid Services. QualityNet—Inpatient Hospitals Specifications Manual. Quality Net website. https://www.qualitynet.org. Published 2018. Accessed October 14, 2018.Google Scholar
3. Zhan, C, Elixhauser, A, Richards, CL Jr., et al. Identification of hospital-acquired catheter-associated urinary tract infections from Medicare claims: sensitivity and positive predictive value. Med Care 2009;47:364–369.Google Scholar
4. Harris, JM 2nd, Gay, JC, Neff, JM, Patrick, SW, Sedman, A. Comparison of administrative data versus infection control data in identifying central line-associated bloodstream infections in children’s hospitals. Hosp Pediatr 2013;3:307–313.Google Scholar
5. Letourneau, AR, Calderwood, MS, Huang, SS, Bratzler, DW, Ma, A, Yokoe, DS. Harnessing claims to improve detection of surgical site infections following hysterectomy and colorectal surgery. Infect Control Hosp Epidemiol 2013;34:1321–1323.Google Scholar
6. Dimick, JB, Staiger, DO, Birkmeyer, JD. Ranking hospitals on surgical mortality: the importance of reliability adjustment. Health Serv Res 2010;45:1614–1629.Google Scholar
7. Lee, GM, Hartmann, CW, Graham, D, et al. Perceived impact of the Medicare policy to adjust payment for health care-associated infections. Am J Infect Control 2012;40:314–319.Google Scholar
8. Keller, SC, Linkin, DR, Fishman, NO, Lautenbach, E. Variations in identification of healthcare-associated infections. Infect Control Hosp Epidemiol 2013;34:678–686.Google Scholar
9. Perdiz, LB, Yokoe, DS, Furtado, GH, Medeiros, EA. Impact of an automated surveillance to detect surgical-site infections in patients undergoing total hip and knee arthroplasty in Brazil. Infect Control Hosp Epidemiol 2016;37:991–993.Google Scholar
10. Klompas, M, Yokoe, DS. Automated surveillance of health care-associated infections. Clin Infect Dis 2009;48:1268–1275.Google Scholar