Abstract

BackgroundAvailability of a patient data management system (PDMS) has created the opportunity to develop trigger-based electronic surveillance systems (ESSs). The aim was to evaluate a semi-automated trigger-based ESS for the detection of ventilator-associated pneumonia (VAP) and central line-associated blood stream infections (CLABSIs) in the intensive care.MethodsProspective comparison of surveillance was based on a semi-automated ESS with and without trigger. Components of the VAP/CLABSI definition served as triggers. These included the use of VAP/CLABSI-related antibiotics, the presence of mechanical ventilation or an intravenous central line, and the presence of specific clinical symptoms. Triggers were automatically fired by the PDMS. Chest X-rays and microbiology culture results were checked only on patient days with a positive trigger signal from the ESS. In traditional screening, no triggers were used; therefore, chest X-rays and culture results had to be screened for all patient days of all included patients. Patients with pneumonia at admission were excluded.ResultsA total of 553 patients were screened for VAP and CLABSI. The incidence of VAP was 3.3/1,000 ventilation days (13 VAP/3,927 mechanical ventilation days), and the incidence of CLABSI was 1.7/1,000 central line days (24 CLABSI/13.887 central line days). For VAP, the trigger-based screening had a sensitivity of 92.3%, a specificity of 100%, and a negative predictive value of 99.8% compared to traditional screening of all patients. For CLABSI, sensitivity was 91.3%, specificity 100%, and negative predictive value 99.6%.ConclusionsPre-selection of patients to be checked for signs and symptoms of VAP and CLABSI by a computer-generated automated trigger system was time saving but slightly less accurate than conventional surveillance. However, this after-the-fact surveillance was mainly designed as a quality indicator over time rather than for precise determination of infection rates. Therefore, surveillance of VAP and CLABSI with a trigger-based ESS is feasible and effective.

Highlights

  • Availability of a patient data management system (PDMS) has created the opportunity to develop trigger-based electronic surveillance systems (ESSs)

  • All patients identified with ventilator-associated pneumonia (VAP) or central line-associated blood stream infections (CLABSIs) through the trigger screening were identified through traditional screening; all patients with no VAP or CLABSI in trigger screening were identified as such through traditional screening, as a reference gold standard

  • VAP A total of 131 patients were diagnosed with pneumonia on admission to the intensive care unit (ICU) and were excluded from the VAP registration

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Summary

Introduction

Availability of a patient data management system (PDMS) has created the opportunity to develop trigger-based electronic surveillance systems (ESSs). Manual surveillance of hospital-acquired infections (HAIs) by infection prevention practitioners (IPPs) is very labor intensive and vulnerable to misclassification. Surveillance secures a follow-up on the outcome of interventions directed at HAIs [3]. ESSs make surveillance more consistent and comparable [8]. This ongoing development of ESSs benefits from developments of decision support capabilities [7,9], classification algorithms [3,10], and regression models [11]

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