Hostname: page-component-745bb68f8f-s22k5 Total loading time: 0 Render date: 2025-01-13T05:55:27.233Z Has data issue: false hasContentIssue false
  • English
  • Français

Semiautomated Surveillance of Deep Surgical Site Infections After Primary Total Hip or Knee Arthroplasty

Published online by Cambridge University Press:  03 April 2017

Meander E. Sips ,
Marc J. M. Bonten  and
Maaike S. M. van Mourik
Meander E. Sips*
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
Marc J. M. Bonten
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Maaike S. M. van Mourik
Affiliation:
Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
*
Address correspondence to Meander E. Sips, University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Huispost Str. 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands (m.e.sips-3@umcutrecht.nl).
Get access Rights & Permissions [Opens in a new window]

Abstract

Manual surveillance of surgical site infections (SSIs) after total hip or knee arthroplasty is time-consuming and prone to error. Semiautomated surveillance based on routine care data extracted from electronic health records can retrospectively identify deep SSIs and substantially reduce workload while maintaining 100% sensitivity.

Infect Control Hosp Epidemiol 2017;38:732–735

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 38 , Issue 6 , June 2017 , pp. 732 - 735
Copyright
© 2017 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

PREVIOUS PRESENTATION: These data were previously presented at the European Congress of Clinical Microbiology and Infectious Diseases (ECCMID) on April 10, 2016, in Amsterdam, The Netherlands (oral presentation no. O342).

References

REFERENCES

1. Magill, SS, Edwards, JR, Bamberg, W, et al. Multistate point-prevalence survey of health care-associated infections. N Engl J Med 2014;370:1198–1208.CrossRefGoogle ScholarPubMed
2. Merkow, RP, Ju, MH, Chung, JW, et al. Underlying reasons associated with hospital readmission following surgery in the United States. JAMA 2015;313:483–495.Google Scholar
3. Kurtz, S, Ong, K, Lau, E, Mowat, F, Halpern, M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am 2007;89:780–785.Google Scholar
4. CMS requirements. National Healthcare Safety Network (NHSN). Centers for Disease Control and Prevention website. http://www.cdc.gov/nhsn/cms/. Updated September 2016. Accessed October 30, 2016.Google Scholar
5. Protocol en dataspecificaties postoperatieve wondinfecties 2015. PREventie van ZIEkenhuisinfecties door Surveillance (PREZIES). Rijksinstituut voor Volksgezondheid en Milieu (RIVM) website. http://www.rivm.nl/onderwerpen/p/prezies/incidentieonderzoek_powi. Published 2015. Accessed October 30, 2016.Google Scholar
6. Perdiz, LB, Yokoe, DS, Furtado, GH, Medeiros, EAS. 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.CrossRefGoogle ScholarPubMed
7. 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.Google Scholar
8. Van Mourik, MSM, Troelstra, A, Van Solinge, WW, Moons, KGM, Bonten, MJM. Automated surveillance for healthcare-associated infections: opportunities for improvement. Clin Infect Dis 2013;57:85–93.CrossRefGoogle ScholarPubMed
9. Yokoe, DS, Avery, TR, Platt, R, Huang, SS. Reporting surgical site infections following total hip and knee arthroplasty: impact of limiting surveillance to the operative hospital. Clin Infect Dis 2013;57:1282–1288.Google Scholar
10. Ming, DY, Chen, LF, Miller, BA, Sexton, DJ, Anderson, DJ. The impact of depth of infection and postdischarge surveillance on rate of surgical-site infections in a network of community hospitals. Infect Control Hosp Epidemiol 2012;33:276–282.Google Scholar