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Record W2319411360 · doi:10.1097/dbp.0000000000000118

A Comparison of Observers' and Self-Report Pain Ratings for Children With Cerebral Palsy

2015· article· en· W2319411360 on OpenAlexafffund
Kellie L. Hadden, Sandra LeFort, Michelle O’Brien, Peter C. Coyte, Denise N. Guerriere

Bibliographic record

VenueJournal of Developmental & Behavioral Pediatrics · 2015
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of TorontoJaneway Children's Health and Rehabilitation CentreMemorial University of Newfoundland
FundersCanadian Institutes of Health Research
KeywordsCerebral palsyPhysical medicine and rehabilitationMedicinePsychologyPhysical therapyAudiology

Abstract

fetched live from OpenAlex

OBJECTIVES: This study aimed to examine (1) the relationship between children's self-reports of pain and their different care providers' pain ratings, (2) the relationship between different care providers' ratings of pain in children with cerebral palsy (CP), and (3) whether the child's level of disability influences care providers' pain ratings. METHODS: Sixty-three children with CP were separated into 2 groups according to whether they were able to pass a self-report training task. Pain was rated using a Numerical Rating Scale and the Non-Communicating Children's Pain Checklist-Postoperative Version (NCCPC-PV). Children were observed during their regular physiotherapy sessions at 3 separate time segments (Baseline, Stretch Procedure, and Recovery). RESULTS: As anticipated, results showed that all observers reported significantly higher pain scores during a physiotherapy stretching procedure than the baseline and recovery segments. Observers' NCCPC-PV scores were significantly higher during the stretch procedure for the children who did not pass the self-report training task. Findings also indicated that parents tended to report significantly lower pain scores compared with both their children and other observers. CONCLUSIONS: The findings bring into question the accuracy of single-observer pain ratings for children with CP and possess implications for the management of pain in children with CP.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.051
GPT teacher head0.340
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2015
Admission routes2
Has abstractyes

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