Interaction of Critical Care Practitioners With a Decision Support Tool for Weaning Mechanical Ventilation in

Silvia M Hartmann1, Reid Wd Farris2, Ofer Yanay2

  • 1Department of Pediatrics, Division of Critical Care Medicine, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, Washington. silvia.hartmann@seattlechildrens.org.

Respiratory Care
|January 30, 2020
PubMed

Insights

Care providers found computerized ventilator weaning recommendations for pediatric patients to be too aggressive, with low implementation rates due to concerns about patient stability. The decision support tool was not highly accepted in this pediatric intensive care unit (PICU) setting.

Area of Science:

  • Pediatric critical care medicine
  • Mechanical ventilation
  • Clinical decision support systems

Background:

  • Ventilator weaning protocols can benefit children on mechanical ventilation.
  • Existing protocols often lack explicit guidance for reducing support from maximal settings.
  • Care provider acceptance of a computerized decision support tool for ventilator weaning was evaluated.

Purpose of the Study:

  • To assess care provider opinions on ventilator weaning recommendations generated by a computerized decision support tool in a pediatric intensive care unit (PICU).
  • To determine the perceived reasonableness and implementability of these recommendations.
  • To identify barriers to the adoption of such tools in clinical practice.

Main Methods:

  • A computerized decision support tool, based on the ARDSNet protocol, generated ventilator adjustment recommendations for children with acute hypoxemic respiratory failure.
  • Attending physicians, fellows, nurse practitioners, and respiratory therapists (RTs) surveyed on the reasonableness and implementability of recommendations.
  • Surveys analyzed based on data from 10 pediatric patients.

Main Results:

  • Respiratory therapists (RTs) and ICU providers found 63.9% and 65.3% of recommendations reasonable, respectively.
  • Implementation rates were low: 29.9% for RTs and 26.3% for ICU providers.
  • Concerns about disrupting patient stability and maintaining low tidal volumes were frequently cited.

Conclusions:

  • The decision support tool showed low initial acceptability among RTs and ICU providers, with recommendations rarely implemented.
  • Acceptability did not improve over time, even as patients generally improved.
  • Respondents perceived recommendations as too aggressive, with potential patient instability being a primary barrier to use.
Abstract

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