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

Meander E Sips; Marc J M Bonten; Maaike S M van Mourik

doi:10.1017/ice.2017.37

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

Infect Control Hosp Epidemiol. 2017 Jun;38(6):732-735. doi: 10.1017/ice.2017.37. Epub 2017 Apr 3.

Authors

Meander E Sips¹, Marc J M Bonten¹, Maaike S M van Mourik²

Affiliations

¹ 1Julius Center for Health Sciences and Primary Care,University Medical Center Utrecht,Utrecht,The Netherlands.
² 2Department of Medical Microbiology,University Medical Center Utrecht,Utrecht,The Netherlands.

PMID: 28366180
DOI: 10.1017/ice.2017.37

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.

MeSH terms

Aged
Arthroplasty, Replacement, Hip / adverse effects*
Arthroplasty, Replacement, Knee / adverse effects*
Electronic Health Records*
Female
Humans
Male
Middle Aged
Models, Theoretical
Population Surveillance / methods*
Predictive Value of Tests
Retrospective Studies
Risk Assessment / methods
Surgical Wound Infection / diagnosis*
Surgical Wound Infection / etiology