Measuring psychological outcomes following pediatric intensive care unit hospitalization: Psychometric analysis of the Childrenʼs Critical Illness Impact Scale
Bibliographic record
Abstract
OBJECTIVE: Critically ill children are at risk for psychological sequelae following pediatric intensive care unit hospitalization. This article reports on the psychometric testing of the first self-report measure of psychological distress for 6-12-yr-old children post-pediatric intensive care unit hospitalization: The Children's Critical Illness Impact Scale. This 23-item scale takes approximately 15 mins for children to complete. DESIGN: Psychometric testing based on Classic Test Theory and guidelines for health measurement scale development. SETTING: The pediatric intensive care units of four Canadian pediatric hospitals and the ear, nose, and throat clinic of one participating hospital. PATIENTS: A total of 172 children (pediatric intensive care unit group, n = 84; ear, nose, and throat group, n = 88) aged 6-12 yrs and their parents. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We assessed the factor structure, internal consistency, and test-retest reliability of the Children's Critical Illness Impact Scale and conducted contrasted group comparisons and convergent and concurrent validation testing. Fit indices and internal consistency were best for a three-factor solution, suggesting three dimensions of psychological distress: 1) worries about getting sick again, 2) feeling things have changed, and 3) feeling anxious and fearful about hospitalization. As expected, Children's Critical Illness Impact Scale scores were positively correlated with child anxiety and medical fear scores. The ear, nose, and throat group scores were higher than expected. Higher Children's Critical Illness Impact Scale scores in older children may reflect a better understanding of the situation and its complexity and meaning, and younger children's tendency to provide more positive self-evaluation. CONCLUSIONS: The Children's Critical Illness Impact Scale is a promising new self-report measure of psychological distress with demonstrated reliability and validation testing in 6-12-yr-old children post-pediatric intensive care unit hospitalization. This new measure has potential to advance the evidence base for pediatric intensive care unit and post-pediatric intensive care unit health promotion interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".