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. 2020 Mar;11(2):218-225.
doi: 10.1055/s-0040-1705107. Epub 2020 Mar 25.

Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support

Affiliations

Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support

Maya Dewan et al. Appl Clin Inform. 2020 Mar.

Abstract

Background: Sepsis is an uncontrolled inflammatory reaction caused by infection. Clinicians in the pediatric intensive care unit (PICU) developed a paper-based tool to identify patients at risk of sepsis. To improve the utilization of the tool, the PICU team integrated the paper-based tool as a real-time clinical decision support (CDS) intervention in the electronic health record (EHR).

Objective: This study aimed to improve identification of PICU patients with sepsis through an automated EHR-based CDS intervention.

Methods: A prospective cohort study of all patients admitted to the PICU from May 2017 to May 2019. A CDS intervention was implemented in May 2018. The CDS intervention screened patients for nonspecific sepsis criteria, temperature dysregulation and a blood culture within 6 hours. Following the screening, an interruptive alert prompted nursing staff to complete a perfusion screen to assess for clinical signs of sepsis. The primary alert performance outcomes included sensitivity, specificity, and positive and negative predictive value. The secondary clinical outcome was completion of sepsis management tasks.

Results: During the 1-year post implementation period, there were 45.0 sepsis events per 1,000 patient days over 10,805 patient days. The sepsis alert identified 392 of the 436 sepsis episodes accurately with sensitivity of 92.5%, specificity of 95.6%, positive predictive value of 46.0%, and negative predictive value of 99.7%. Examining only patients with severe sepsis confirmed by chart review, test characteristics fell to a sensitivity of 73.3%, a specificity of 92.5%. Prior to the initiation of the alert, 18.6% (13/70) of severe sepsis patients received recommended sepsis interventions. Following the implementation, 34% (27/80) received these interventions in the time recommended, p = 0.04.

Conclusion: An EHR CDS intervention demonstrated strong performance characteristics and improved completion of recommended sepsis interventions.

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Conflict of interest statement

None declared.

Figures

Fig. 1
Fig. 1
Two-stage sepsis interruptive CDS alert that is triggered when a patient admitted to the PICU has a temperature derangement of <35 or >38.5°C and has had a blood culture collected within 6 hours. CDS, clinical decision support PICU, pediatric intensive care unit.
Fig. 2
Fig. 2
Performance of the clinical decision support intervention to identify patients with known sepsis or new concern for sepsis. Red boxes are misclassified patients. IPSO, improving pediatric sepsis outcomes; PICU, pediatric intensive care unit.
Fig. 3
Fig. 3
In-depth chart review of 32 patients who met IPSO severe sepsis criteria within the PICU but for whom the sepsis interruptive alert did not fire. PICU, pediatric intensive care unit.
Fig. 4
Fig. 4
Completion of recommended sepsis interventions per and post implementation of an interruptive sepsis alert as part of a clinical decision support intervention.

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