title: Validation of administrative population-based data sets for the detection of cesarean delivery surgical site infection.
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.
authors.affiliation: Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada. nick.daneman@sunnybrook.ca
authors.forename: Nick
authors.initials: N
authors.lastname: Daneman
authors.forename: Xiaomu
authors.initials: X
authors.lastname: Ma
authors.forename: Melanie
authors.initials: M
authors.lastname: Eng-Chong
authors.forename: Sandra
authors.initials: S
authors.lastname: Callery
authors.forename: Astrid
authors.initials: A
authors.lastname: Guttmann
mesh_terms: D000465:Algorithms; D002585:Cesarean Section / Q000009:adverse effects*; D016208:Databases, Factual / Q000592:standards*; D005260:Female; D006753:Hospital Records / Q000592:standards*; D006761:Hospitals; D006801:Humans; D009864:Ontario / Q000453:epidemiology; D012680:Sensitivity and Specificity; D018571:Sentinel Surveillance; D013530:Surgical Wound Infection / Q000175:diagnosis / Q000453:epidemiology*