2010
DOI: 10.1016/j.jhin.2009.11.018
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Surveillance of selected post-caesarean infections based on electronic registries: validation study including post-discharge infections

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Cited by 20 publications
(17 citation statements)
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“…in line with local protocols), optimal dosing, improved adherence to guidelines/protocols, and a decrease in the total number of antibiotics prescribed . Some studies also reported a reduction in prescribing errors and increased de‐escalation, as well as improved antibiotic sensitivity and increase in sensitivity of surgical site infection detection . Others reported a timelier discontinuation of antibiotics and a decrease in the meantime to antibiotic administration .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…in line with local protocols), optimal dosing, improved adherence to guidelines/protocols, and a decrease in the total number of antibiotics prescribed . Some studies also reported a reduction in prescribing errors and increased de‐escalation, as well as improved antibiotic sensitivity and increase in sensitivity of surgical site infection detection . Others reported a timelier discontinuation of antibiotics and a decrease in the meantime to antibiotic administration .…”
Section: Resultsmentioning
confidence: 99%
“…Most evidence came from specialty settings (such as intensive care, emergency medicine and paediatrics); and from high‐risk patient groups (e.g. those at risk for or with infections); and from tertiary care …”
Section: Resultsmentioning
confidence: 99%
“…23,24 One of the reviews 23 included surgical site infection following cesarean delivery and identified 3 validation studies. 15,25,26 Leth and colleagues 26 found sensitivities of infection diagnosed in hospital and after discharge of 77.1% and 68.9%, respectively, and specificities of 99.5% and 98.2%, respectively. A Canadian study showed that the sensitivity for detection of surgical site infection after cesarean delivery was 16.7% when using hospital data but 77.3% when including emergency department and physician claims databases; those authors concluded that the low sensitivity and positive predictive value make claims databases inadequate for use as quality indicators.…”
Section: Limitationsmentioning
confidence: 99%
“…ICD-9 4,911,1519 , SNOMED-CT 2022 and free text from notes were used to determine hospital billing diagnosis and procedures 10,11,17,21 . Microbiology results were formatted in institution-specific codes 10,11,13,14,17 , textual results 3–5,9,12,16,18,2230 , and LOINC 22 codes.…”
Section: Resultsmentioning
confidence: 99%