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ABSTRACT: Background
To quantify the five year incidence trend of all healthcare-associated infections (HAI) using a real-time HAI electronic surveillance system in a tertiary hospital in Beijing, China.Methods
The real-time surveillance system scans the hospital's electronic databases related to HAI (e.g. microbiological reports and antibiotics administration) to identify HAI cases. We conducted retrospective secondary analyses of the data exported from the surveillance system for inpatients with all types of HAIs from January 1st 2013 to December 31st 2017. Incidence of HAI is defined as the number of HAIs per 1000 patient-days. We modeled the incidence data using negative binomial regression.Results
In total, 23361 HAI cases were identified from 633990 patients, spanning 6
SUBMITTER: Zhang Y
PROVIDER: S-EPMC6712817 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature