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Record W2761875869 · doi:10.1093/pch/20.5.e89

151: Analgesic Provision to Pediatric Patients with Acute Abdominal Pain in the Emergency Department: A Survey of Canadian Pediatric Emergency Physicians

2015· article· en· W2761875869 on OpenAlexaboutno aff
Catherine Davidson, Samina Ali, Aynsley Cowie, Andréanne Benidir, Graham C. Thompson, Philippe Boisclair, Stuart Harman, Melissa K. Miller, Andreana Bütter, Rodrick Lim, Naveen Poonai

Bibliographic record

VenuePaediatrics & Child Health · 2015
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAppendicitisAbdominal painEmergency departmentPsychological interventionIntervention (counseling)AnalgesicEmergency medicinePediatric emergency medicineGeneral surgeryEmergency physicianNursingSurgeryAnesthesia

Abstract

fetched live from OpenAlex

This study was funded by our institution's associated University's Research Opportunities Fund. The authors have no conflicts of interest to declare. Abdominal pain is the most frequent clinical feature of acute appendicitis, the most common pediatric condition requiring urgent surgical intervention. There is evidence, particularly in children, that analgesia is underutilized for abdominal pain. Historically, the reluctance to provide analgesia to patients was thought to be due to concerns of obscuring the diagnosis of appendicitis. In the last decade, evidence disputing this supposition has mounted. No recent studies have described pain management patterns in undifferentiated cases, reasons behind withholding analgesia, or its relationship with surgical consultation. Given a decade of new evidence supporting the safety of analgesia, our objectives were to explore the current practice variation surrounding the provision of analgesia by paediatric emergency physicians, identify reasons for withholding analgesia, and evaluate the relationship of providing analgesia with obtaining surgical consultation. We prospectively surveyed physician members of the Paediatric Emergency Research Canada (PERC) database. We collected demographic information and presented three scenarios depicting undifferentiated abdominal pain of varying severity. A modified Dillman's Tailored Design method was used to distribute the survey, from June 15 to July 16, 2014. Our overall response rate was 75% (149/200). 52% of respondents were female and their mean age was 44 years. Most respondents completed paediatric emergency medicine fellowship training (59%) and were within 15 years of independent practice (74%). The rates of providing analgesia for the cases of renal colic, intussusception, and appendicitis were 100%, 92.1%, and 83.4% respectively, while rates of providing IV opioids were 85.2%, 12.4%, and 58.6% respectively. Across scenarios, all 61 respondents obtaining surgical consultation provided analgesia. Of respondents withholding analgesia, most (21/35 or 60%) believed that pain was not severe enough to warrant it, and only 5/35 (14.3%) indicated that analgesia would obscure a surgical condition. The self-reported rates of analgesic provision for acute undifferentiated pain by paediatric emergency physicians is higher than reported one decade ago and, according to self-report, surgical consultation does not negatively impact the provision of analgesia.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.106
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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