Literature DB >> 22080661

Validation of administrative population-based data sets for the detection of cesarean delivery surgical site infection.

Nick Daneman1, Xiaomu Ma, Melanie Eng-Chong, Sandra Callery, Astrid Guttmann.   

Abstract

We validated population-based hospital, emergency room, and physician claim databases for the detection of surgical site infections against the reference standard of clinical surveillance. Although these data sets are highly specific and could be used to define research cohorts, their low sensitivity and positive predictive value make them inadequate for use as quality indicators.

Mesh:

Year:  2011        PMID: 22080661     DOI: 10.1086/662623

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


  4 in total

1.  Risk factors for surgical site infection following cesarean delivery: a retrospective cohort study.

Authors:  Felicia Ketcheson; Christy Woolcott; Victoria Allen; Joanne M Langley
Journal:  CMAJ Open       Date:  2017-07-11

2.  Divergences between healthcare-associated infection administrative data and active surveillance data in Canada.

Authors:  Virginie Boulanger; Étienne Poirier; Anne MacLaurin; Caroline Quach
Journal:  Can Commun Dis Rep       Date:  2022-01-26

Review 3.  Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.

Authors:  Maaike S M van Mourik; Pleun Joppe van Duijn; Karel G M Moons; Marc J M Bonten; Grace M Lee
Journal:  BMJ Open       Date:  2015-08-27       Impact factor: 2.692

4.  The quality of denominator data in surgical site infection surveillance versus administrative data in Norway 2005-2010.

Authors:  Hege Line Løwer; Hanne-Merete Eriksen; Preben Aavitsland; Finn Egil Skjeldestad
Journal:  BMC Infect Dis       Date:  2015-11-30       Impact factor: 3.090

  4 in total

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