Literature DB >> 27072598

Impact of an Automated Surveillance to Detect Surgical-Site Infections in Patients Undergoing Total Hip and Knee Arthroplasty in Brazil.

Luciana B Perdiz1, Deborah S Yokoe2, Guilherme H Furtado1, Eduardo A S Medeiros1.   

Abstract

In this retrospective study, we compared automated surveillance with conventional surveillance to detect surgical site infection after primary total hip or knee arthroplasty. Automated surveillance demonstrated better efficacy than routine surveillance in SSI diagnosis, sensitivity, and predictive negative value in hip and knee arthroplasty. Infect Control Hosp Epidemiol 2016;37:991-993.

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Year:  2016        PMID: 27072598     DOI: 10.1017/ice.2016.86

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  2 in total

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

Authors:  Chanu Rhee; Rui Wang; Maximilian S Jentzsch; Carly Broadwell; Heather Hsu; Robert Jin; Kelly Horan; Grace M Lee
Journal:  Infect Control Hosp Epidemiol       Date:  2018-12-04       Impact factor: 3.254

2.  Electronically assisted surveillance systems of healthcare-associated infections: a systematic review.

Authors:  H Roel A Streefkerk; Roel Paj Verkooijen; Wichor M Bramer; Henri A Verbrugh
Journal:  Euro Surveill       Date:  2020-01
  2 in total

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