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Record W2161908446 · doi:10.1177/0009922813502257

The Effect of a Medical Clown on Pain During Intravenous Access in the Pediatric Emergency Department

2013· article· en· W2161908446 on OpenAlexaff
Ido Wolyniez, Ayelet Rimon, Dennis Scolnik, Alejandro Gruber, Oren Tavor, Eli Haviv, Miguel Glatstein

Bibliographic record

VenueClinical Pediatrics · 2013
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineEmergency departmentAnxietyVisual analogue scaleRandomized controlled trialPhysical therapyPsychiatrySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: We report the effect of the presence of a medical clown during insertion of an intravenous catheter during their emergency department visit. METHODS: Prospectively randomized to either the presence or absence of a male medical clown during the procedure. Pain was assessed using the Faces Pain Scale-Revised in children 4 to 7 years old, and visual analog scales in children 8 years and older. Parental situational anxiety was recorded using the State-Trait Anxiety Inventory after the procedure. RESULTS: The presence of a medical clown during a painful procedure in the pediatric emergency department tended to improve pain scores in children younger than 7 years. Parental situational anxiety was significantly reduced in parents of children older than 8 years (P = .02). CONCLUSION: Therapeutic clowns are useful for diminishing pain and anxiety during painful procedures being performed on children in the emergency department.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.382
Teacher spread0.354 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations81
Published2013
Admission routes1
Has abstractyes

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