Abstract

BackgroundClinicians recognise that some critically ill children are difficult-to-sedate. It may be possible to identify this clinical phenotype for sedation response using statistical modelling techniques adopted from machine learning. This requires identification of a finite number of variables to include in the statistical model. ObjectiveTo establish face and content validity for 17 candidate variables identified in the international literature as characteristic of the difficult-to-sedate child phenotype. MethodsPaediatric critical care clinicians rated the relevance of 17 variables characterising the difficult-to-sedate child using a four-point scale ranging from not (1) to highly relevant (4). Face and content validity of these variables were assessed by calculating a mean score for each item and computing an item-level content validity index. Items with a mean score >1 were rated as having adequate face validity. An item-level content validity index ≥0.70 indicated good to excellent content validity. Setting and participantsWeb-based survey emailed to members of the Pediatric Acute Lung Injury and Sepsis Investigators Network or the Society of Critical Care Medicine Pediatric Sedation Study Group. ResultsOf 411 possible respondents, 121 useable surveys were returned for a response rate of 29%. All items had a mean score >1, indicating adequate face validity. Ten of 17 items scored an item-level content validity index ≥0.70. The highest scoring items were requiring three or more sedation classes simultaneously, daily modal sedation score indicating agitation, sedation score indicating agitation for 2 consecutive hours, receiving sedatives at a dose >90th percentile of the usual starting dose, and receiving intermittent paralytic doses for sedation. ConclusionsComputation of an item-level content validity index validated variables to include in statistical modelling of the difficult-to-sedate phenotype. The results indicate consensus among paediatric critical care clinicians that the majority of candidate variables identified through literature review are characteristic of the difficult-to-sedate child.

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