Building Bridges Using the Shriners Hospitals for Children/American Burn Association Burn Outcome Questionnaires to Follow Teenagers and Young Adults Across the Age Spans
Bibliographic record
Abstract
The Shriners Hospitals for Children/American Burn Association Burn Outcomes Questionnaires (BOQ) are well-established, reliable, and valid outcome measures. The adolescent (BOQ11-18 years) and young adult version (YABOQ 18-30 years) have similar overlapping domains, but the scores are not comparable. This study objective was to build bridges across these forms. Datasets were from the Multi-Center Benchmarking Study Group. The comparable subscales from the BOQ11-18 and the YABOQ were bridged using item response theory cocalibration. The item response theory scale scores were then transformed into an expected raw score on the alternative form, from which normative scores are available. A sensitivity analysis using up to three time points, as opposed to one randomly selected occasion, was also conducted to ensure robust results. Data were available on 353 unique adolescents and 148 young adults. The comparable subscales were successfully bridged across forms (adolescent reliability from 0.67 to 0.85; young adult from 0.69 to 0.88). Compared with adolescents, young adults on average reported more pain and itch, less symptom and role satisfaction, and poorer work/school reintegration (Cohen's d = 0.39-0.77; P < .05). Physical functioning, appearance, and family/parental concern were comparable across ages (d = -0.01 to 0.09; P > .05). Family functioning was better for young adults than adolescents (d = -0.25; P = .006). BOQ11-18 scores can be mapped from adolescence into young adulthood. Physical and psychosocial outcomes change across the lifespan. Bridges provide a highly useful approach to track changes across this part of the lifespan.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".