Normative and Psychometric Characteristics of the Health and Behavior Inventory Among Children With Mild Orthopedic Injury Presenting to the Emergency Department: Implications for Assessing Postconcussive Symptoms Using the Child Sport Concussion Assessment Tool 5th Edition (Child SCAT5)
Bibliographic record
Abstract
OBJECTIVE: The study sought to present normative and psychometric data and reliable change formulas for the Health and Behavior Inventory (HBI), a postconcussive symptom rating scale embedded in the Child Sport Concussion Assessment Tool 5th edition (Child SCAT5). DESIGN: Prospective cohort study with longitudinal follow-up. SETTING: Pediatric emergency departments (EDs). PARTICIPANTS: As part of 3 studies conducted in the United States and Canada between 2001 and 2019, 450 children aged 8 to 16 years with mild orthopedic injuries were recruited during ED visits and assessed postacutely (M = 9.38 days, SD = 3.31) and 1 month and 3 months postinjury. Independent variables were rater (child vs parent), sex, and age at injury. MAIN OUTCOME MEASURE: HBI ratings. METHODS: Children and parents rated children's symptoms at each time point; parents also rated children's preinjury symptoms retrospectively. Normative data (mean, SD, skewness, kurtosis, and percentiles) were computed for child and parent ratings. Internal consistency was assessed using Cronbach alpha (α), and test-retest reliability and interrater agreement were assessed with intraclass correlations (ICCs). Reliable change formulas were computed using linear regression and mixed models. RESULTS: HBI ratings were positively skewed. Mean ratings and percentiles were stable over time. Child and parent ratings demonstrated good-to-excellent internal consistency (α 0.76-0.94) and moderate-to-good test-retest reliability (ICC 0.51-0.76 between adjacent assessments). However, parent-child agreement was poor to moderate (ICC 0.31-0.69). CONCLUSIONS: The HBI demonstrates acceptable normative and psychometric characteristics. Modest parent-child agreement highlights the importance of multiple informants when assessing postconcussive symptoms. The results will facilitate the use of the HBI in research and clinical practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".