Clinical decision support to enhance venous thromboembolism pharmacoprophylaxis prescribing for pediatric inpatients with COVID‐19

Author:

Yan Adam Paul12ORCID,Parsons Chase3,Caplan Gregory4,Kelly Daniel P.5,Duzan Julie1,Drake Emily1,Kumar Riten1ORCID

Affiliation:

1. Division of Hematology and Oncology Boston Children's Hospital and Harvard Medical School Boston Massachusetts USA

2. Division of Hematology and Oncology The Hospital for Sick Children and University of Toronto Toronto Ontario Canada

3. Division of General Pediatrics Boston Children's Hospital and Harvard Medical School Boston Massachusetts USA

4. Boston Children's Hospital Program for Patient Safety and Quality Boston Massachusetts USA

5. Division of Medical Critical Care Boston Children's Hospital and Harvard Medical School Boston Massachusetts USA

Abstract

AbstractObjectiveTo design and evaluate a clinical decision support (CDS) module to improve guideline concordant venous thromboembolism (VTE) pharmacoprophylaxis prescribing for pediatric inpatients with COVID‐19.Materials and methodsThe proportion of patients who met our institutional clinical practice guideline's (CPG) criteria for VTE prophylaxis was compared to those who triggered a CDS alert, indicating the patient needed VTE prophylaxis, and to those who were prescribed prophylaxis pre and post the launch of a new VTE CDS module to support VTE pharmacoprophylaxis prescribing. The sensitivity, specificity, positive predictive value (PPV), negative predictive value, F1‐score and accuracy of the tool were calculated for the pre‐ and post‐intervention periods using the CPG recommendation as the gold standard. Accuracy was defined as the sum of the true positives and true negatives over the sum of the true positives, false positives, true negatives, and false negatives. Logistic regression was used to identify variables associated with correct thromboprophylaxis prescribing.ResultsA significant increase in the proportion of patients triggering a CDS alert occurred in the post‐intervention period (44.3% vs. 6.9%, p < .001); however, no reciprocal increase in VTE prophylaxis prescribing was achieved (36.6% vs. 40.9%, p = .53). The updated CDS module had an improved sensitivity (55.0% vs. 13.3%), NPV (44.9% vs. 36.3%), F1‐score (66.7% vs. 23.5%), and accuracy (62.5% vs. 42.0%), but an inferior specificity (78.6% vs. 100%) and PPV (84.6% vs. 100%).DiscussionThe updated CDS model had an improved accuracy and overall performance in correctly identifying patients requiring VTE prophylaxis. Despite an increase in correct patient identification by the CDS module, the proportion of patients receiving appropriate pharmacologic prophylaxis did not change.ConclusionCDS tools to support correct VTE prophylaxis prescribing need ongoing refinement and validation to maximize clinical utility.

Publisher

Wiley

Subject

Oncology,Hematology,Pediatrics, Perinatology and Child Health

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