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Record W7115005085 · doi:10.1093/pch/pxaf116.031

31 Implementing a Bundle-of-Care approach to enhance timely interventions for displaced paediatric forearm fractures in the emergency department: A pre- and post-intervention study

2025· article· en· W7115005085 on OpenAlexaff

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsEmergency departmentDemographicsConfidence intervalPsychological interventionForearmProtocol (science)Fracture reduction

Abstract

fetched live from OpenAlex

Abstract Background This study evaluated the effectiveness of a new bundle-of-care protocol for timely fracture management in children presenting to the emergency department (ED) with forearm fractures. Objectives The primary objective was to determine whether implementing a new bundle-of-care protocol in 2022 decreased the time from ED arrival to readiness for fracture reduction (termed “time to readiness”, defined as the completion of radiographs, analgesia administration, and intravenous (IV) insertion) compared to the pre-implementation period. Design/Methods This retrospective study analyzed data from children aged 1 to 17 years presenting to a tertiary paediatric ED with forearm fractures between April 2021 and September 2023. Included participants were patients requiring fracture reduction and triaged as CTAS 2 or triaged as CTAS 3 with pain severe enough to require opioids before imaging. The bundle-of-care, developed by a multidisciplinary team, included immediate transfer in the resuscitation room for IV insertion, analgesia, and radiographic imaging. Implementation used various knowledge translation methods, and iterative cycles identified barriers and facilitators. The primary outcome measured the time between ED arrival and readiness for fracture reduction. Secondary outcomes included time intervals between arrival and analgesia, IV access, radiographs, reduction and discharge from the ED. The analyses compared 95% confidence intervals (95%CI) for the difference in medians for these time intervals between pre- and post-implementation phases. Results During the study period, 247 children met the inclusion criteria, with a median age of 10 years old. Baseline demographics were similar in both pre- and post-implementation phases, but 182 were male (74%). Most children suffered from dual radius/ulna fractures (n=202). Median time to readiness decreased from 140 minutes to 103 minutes after implementing the bundle-of-care (difference: 32 minutes; 95%CI: 15-49 minutes). This decrease was also noted in median time to radiographs (difference: 16 minutes; 95%CI: 6-27 minutes), time to IV insertion (difference: 23 minutes; 95%CI 2-42 minutes), time to reduction (difference: 34 minutes; 95%CI: 15-55 minutes) and ED length of stay (difference: 40 minutes; 95%CI 16-67 minutes). However, no statistically significant difference was found for analgesia (difference: 3 minutes; 95%CI: -4 to 10 minutes). Conclusion We demonstrated that implementing a bundle-of-care protocol significantly reduced time to readiness for fracture reduction in paediatric patients. This was accompanied by improved time intervals in key steps of the protocol. These findings underscore the benefits of adopting structured care protocols to optimize treatment outcomes for paediatric fractures.

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)0.006
metaresearch head score (Gemma)0.021
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 score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.015
GPT teacher head0.377
Teacher spread0.362 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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