Face and Content Validity of Variables Associated with the Difficult-to-Sedate Child in the Pediatric Intensive Care Unit: A Survey of Pediatric Critical Care Clinicians

摘要

BackgroundClinicians recognize that some critically ill children are difficult-to-sedate. It may be possible to identify this clinical phenotype for sedation response using statistical modeling techniques adopted from machine learning. This requires identification of a finite number of variables to include in the statistical model.