Factors predictive of poor behavioral compliance during inhaled induction in children

Anna M Varughese1, Todd G Nick, Joel Gunter

  • 1Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA. anna.varughese@cchmc.org

Insights

Younger children, shorter prep times, and higher anxiety predict poor behavioral compliance during anesthesia induction. Preoperative tours can help mitigate risks associated with prior anesthesia experiences in children.

Area of Science:

  • Pediatric Anesthesiology
  • Child Psychology
  • Health Services Research

Background:

  • Preoperative identification of children at risk for emotional distress and poor behavioral compliance during inhaled anesthesia induction is crucial for targeted interventions.
  • Understanding predictive factors enhances the quality of the anesthetic experience for pediatric patients.

Purpose of the Study:

  • To identify patient, procedural, and healthcare system factors predicting poor behavioral compliance during inhaled anesthesia induction in children.
  • To develop a predictive model for identifying children at risk of distress during anesthesia induction.

Main Methods:

  • A study of 861 children aged 1-13 years undergoing inhaled anesthesia induction with parents present.
  • Behavioral compliance assessed using the Induction Compliance Checklist (ICC); ICC >= 4 defined as poor compliance.
  • Multivariable ordinal logistic regression used to model behavioral compliance, with model performance evaluated by the c-statistic.

Main Results:

  • Twenty-one percent of children exhibited poor behavioral compliance.
  • Factors increasing odds of poor compliance: younger age (<4 years), shorter preoperative preparation time, and high preoperative anxiety.
  • Previous anesthesia experience increased odds in school-age children, but this was ameliorated by attending a preoperative tour.

Conclusions:

  • Age, previous anesthesia, preoperative tour attendance, preparation time, and preoperative anxiety levels are predictive of poor behavioral compliance.
  • A predictive algorithm using these factors can help identify children benefiting from interventions.
  • This approach can also help avoid unnecessary interventions for low-risk children.
Abstract

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