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Record W1884339413 · doi:10.1111/jspn.12026

Pediatric nurses' postoperative pain management practices: An observational study

2013· article· en· W1884339413 on OpenAlexaff
Alison Twycross, G. Allen Finley, Margot Latimer

Bibliographic record

VenueJournal for Specialists in Pediatric Nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
FundersSt. George's, University of London
KeywordsObservational studyMedicinePhysical therapyPain managementPostoperative painMEDLINEAnesthesia

Abstract

fetched live from OpenAlex

PURPOSE: This study was an in-depth examination of pediatric postoperative pain care. DESIGN AND METHODS: Participant observational data were collected on the care of 10 children. Particular attention was paid to actions when pain scores were ≥5 and to the relationship between pain scores and medications administered. RESULTS: A pattern of care emerged of giving pain medications regularly even if they were prescribed pro re nata. Actions when pain scores were ≥5 varied. Recorded pain scores rarely guided treatment choices. PRACTICE IMPLICATIONS: The use of pain scores to guide treatment choices needs further debate. Future research should explore the implications of divorcing treatment from pain scores on children's pain experience.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.117
GPT teacher head0.427
Teacher spread0.310 · 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

Citations34
Published2013
Admission routes1
Has abstractyes

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