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Record W2140404324 · doi:10.1016/s0304-3959(03)00256-2

The parents’ postoperative pain measure: replication and extension to 2–6-year-old children

2003· article· en· W2140404324 on OpenAlexaff
Christine T. Chambers, G. Allen Finley, Patrick J. McGrath, Trudi M. Walsh

Bibliographic record

VenuePain · 2003
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsIzaak Walton Killam Health CentreDalhousie UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicineInternal consistencyPhysical therapyReliability (semiconductor)Postoperative painPsychometricsClinical psychologyAnesthesia

Abstract

fetched live from OpenAlex

Pain assessment is a difficult task for parents at home following children's surgery. The purpose of the present study was to confirm the psychometric properties of a behavioural measure of postoperative pain developed to assist parents with pain assessment in children aged 7-12 years following day surgery. The study also examined the reliability and validity of the measure with children aged 2-6 years. Participants were 51 parents of children aged 7-12 years and 107 parents of children aged 2-6 years. For the 2 days following surgery, parents completed a pain diary that included global ratings of their children's pain and the 15-item Parents' Postoperative Pain Measure (PPPM). The older children provided self-reports of their pain intensity. The PPPM items showed good internal consistency on the two postoperative days for both samples (alpha's=0.81-0.88) and scores on the PPPM were highly correlated with children's (for the older children) and parents' (for the young children) global ratings of pain (r's=0.53-0.72). As global pain ratings decreased from Days 1 to 2, so did scores on the PPPM. Scores on the PPPM were successful in discriminating between children who had undergone low/moderate and high pain surgeries. The results of this study provide evidence of the reliability and validity of the PPPM as a measure of postoperative pain among children aged 2 through to 12 years.

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)0.013
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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.

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

Citations124
Published2003
Admission routes1
Has abstractyes

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