Performance of an Electronic Decision Support System as a Therapeutic Intervention During a Multicenter PICU Clinical

Eliotte L Hirshberg1, Jamin L Alexander2, Lisa A Asaro3

  • 1Pulmonary Division, Intermountain Medical Center, Salt Lake City, UT; Center for Humanizing Critical Care, Intermountain Healthcare, Salt Lake City, UT; Pulmonary and Critical Care Medicine, University of Utah School of Medicine, Salt Lake City, UT; Pediatric Critical Care, University of Utah School of Medicine, Salt Lake City, UT.

Chest
|May 1, 2021
PubMed

Insights

Clinical decision support (CDS) systems like CHECKS improve hyperglycemia management in pediatric critical care. High user compliance with CHECKS in the HALF-PINT trial ensured consistent patient care across diverse settings.

Area of Science:

  • Pediatric Critical Care Medicine
  • Health Informatics
  • Clinical Trial Management

Background:

  • Electronic clinical decision support (CDS) systems are infrequently utilized in pediatric critical care trials.
  • The study details the application of the Children's Hospital Euglycemia for Kids Spreadsheet (CHECKS) CDS tool.
  • CHECKS was implemented for hyperglycemia management during the multicenter Heart And Lung Failure-Pediatric Insulin Titration (HALF-PINT) trial.

Purpose of the Study:

  • To assess user compliance with the CHECKS CDS tool in critically ill pediatric patients.
  • To investigate the association between CHECKS compliance and patient outcomes, specifically blood glucose control.
  • To identify patient and clinician factors influencing CHECKS compliance and usage patterns.

Main Methods:

  • An observational retrospective study analyzed compliance with CHECKS during the prospective HALF-PINT randomized controlled trial.
  • Patients were categorized into high and low CHECKS compliance groups.
  • A user, function, representation, and task analysis (UFRTA) framework was employed to categorize user interactions and overrides.

Main Results:

  • High overall compliance (median 99.5%) with CHECKS was observed across 658 pediatric patients.
  • Low compliance (<90%) was associated with younger patients, less inotropic support, and assignment to a lower blood glucose target.
  • The majority of overrides (89%) were user-initiated, with patient factors contributing 29%.

Conclusions:

  • The CHECKS CDS tool facilitated a reproducible and explicit approach to hyperglycemia management in critically ill children.
  • CDS systems are valuable tools for conducting complex pediatric critical care trials effectively.
  • Future trials can benefit from understanding factors influencing CDS compliance to optimize trial execution and outcomes.
Abstract