Clinical validation of the Paediatric Pain Profile
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Paediatric Pain Profile (PPP) is a 20-item behaviour rating scale designed to assess pain in children with severe neurological disability. We assessed the validity and reliability of the scale in 140 children (76 females, mean age 9 years 11 months, SD 4 years 7 months; range 1 to 18 years), unable to communicate through speech or augmentative communication. Parents used the PPP to rate retrospectively their child's behaviour when 'at their best' and when in pain. To assess interrater reliability, two raters concurrently observed and individually rated each child's behaviour. To assess construct validity and responsiveness of the scale, behaviour of 41 children was rated before and for four hours after administration of an 'as required' analgesic. Behaviour of 30 children was rated before surgery and for five days after. Children had significantly higher scores when reported to have pain than 'at their best' and scores increased in line with global evaluations of pain. Internal consistency ranged from 0.75 to 0.89 (Cronbach's alpha) and interrater reliability from 0.74 to 0.89 (intraclass correlation). Sensitivity (1.00) and specificity (0.91) were optimized at a cut-off of 14/60. PPP score was significantly greater before administration of the analgesic than after (paired-sample t-tests, p<0.001). Though there was no significant difference in mean pre- and postoperative scores, highest PPP score occurred in the first 24 hours after surgery in 14 (47%) children. Results suggest that the PPP is reliable and valid and has potential for use both clinically and in intervention research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it