Comparison of pediatric self reports and parent proxy reports utilizing PROMIS: Results from a chiropractic practice-based research network
Bibliographic record
Abstract
OBJECTIVE: To measure the cross-informant variant of pediatric quality of life (QoL) based on self-reports and parent proxy measures. METHODS: A secondary analysis of baseline data obtained from two independent studies measuring the QoL based on the pediatric PROMIS-25 self-report and the PROMIS parent-proxy items banks. A scoring manual associated raw scores to a T score metric (mean = 50; SD = 10). Reliability of QoL ratings utilized the ICC while comparison of mean T Scores utilized the unpaired t-test. RESULTS: A total of 289 parent-child dyads comprised our study responders. Average age for parents and children was 41.27 years and 12.52 years, respectively. The mean T score (child self-report: parent proxy) for each QoL domains were: mobility (50.82:52.58), anxiety (46.73:44.21), depression (45.18:43.60), fatigue (45.59:43.92), peer-relationships (52.15:52.88) and pain interference (47.47:44.80). CONCLUSION: Parents tend to over-estimate their child's QoL based on measures of anxiety, depression, fatigue, peer-relationships and pain interference.
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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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".