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Record W2766626218 · doi:10.1097/pec.0000000000001317

Patient-Reported Pain Outcomes for Children Attending an Emergency Department With Limb Injury

2017· article· en· W2766626218 on OpenAlexaff
Adrianna D.M. Clapp, Jennifer Thull‐Freedman, Tatum Priyambada Mitra, Brendan Cord Lethebe, Tyler Williamson, Antonia Stang

Bibliographic record

VenuePediatric Emergency Care · 2017
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineInterquartile rangeEmergency departmentConfidence intervalOdds ratioProspective cohort studyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to describe patient-reported pain outcomes at various stages of an emergency department (ED) visit for pediatric limb injury. METHODS: This prospective cohort consisted of 905 patients aged 4 to 17 years with acute limb injury and a minimum initial pain score of 4/10. Patients reported pain scores and treatments offered and received at each stage of their ED visit. Multiple logistic regression was used to identify predictors for severe pain on initial assessment and moderate or severe pain at ED discharge. RESULTS: The initial median pain score was 6/10 (interquartile range, 4-6) and decreased at discharge to 4/10 (interquartile range, 2-6). Stages of the ED visit where the highest proportion of patients reported severe pain (score, ≥8 of 10) were fracture reduction (26.0% [19/73]; 95% confidence interval [CI], 17.1%-37.5%), intravenous insertion (24.4% [11/45]; 95% CI, 13.8%-39.6%), and x-ray (23.7% [158/668]; 95% CI, 20.6%-27.0%). Predictors of severe pain at initial assessment included younger age (odds ratio [OR], 0.92; 95% CI, 0.87-0.97), female sex (OR, 0.58; 95% CI, 0.40-0.84), and presence of fracture (OR, 1.58; 95% CI, 1.07-2.33) whereas, at discharge, older age (OR, 1.14; 95% CI, 1.06-1.23) predicted moderate/severe pain (score, ≥4 of 10). CONCLUSIONS: These results on the location and predictors of severe pain during an ED visit for limb injury can be used to target interventions to improve pain management and patient outcomes.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.313
Teacher spread0.295 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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