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Record W2761563418 · doi:10.1093/pch/9.suppl_a.56ab

121 A “Stay and Play” Philosophy of Stabilization Leads to Safe and Effective Paediatric Transport

2004· article· en· W2761563418 on OpenAlexaff
Sataporn Muang-In, Adrian Ziino, HE Whyte, Patrick J. McNamara

Bibliographic record

VenuePaediatrics & Child Health · 2004
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineReferralIntervention (counseling)Critically illAdverse effectPediatricsIntensive care medicineEmergency medicineFamily medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

The likelihood of physiological deterioration or adverse events during the retrieval of critically ill children is reduced by dedicated paediatric transport teams. Recently the neonatal transport team based at the Hospital for Sick Children (HSC) has expanded its mandate to retrieve children up to 2 years of age. The Acute Care Transport Services (ACTS) team has translated its neonatal stabilization philosophy of “stay and play” into paediatric critical care transports. However other teams consider a “scoop and run” philosophy to be the most effective and safest means of transporting critically ill children. To investigate if “stay and play” stabilization of critically ill children is associated with physiological deterioration or an increased likelihood of adverse events on transport. Data was prospectively collected on all paediatric transports by ACTS from Nov 2002 to Nov 2003. Details recorded included patient demographics, referral problem, transport mobilization & stabilization times and adverse events during transport. A physiology score based on a modified PRISM score was used as an index of illness severity and recorded on arrival and following departure of the team from the referral hospital. The effectiveness of transport stabilization was assessed by comparing pre-and post-stabilization physiology scores. An intervention score was constructed to assess details of the stabilization process. The relationship between intervention scores and stabilization times was examined using linear regression methods. 35 children were retrieved during the study time-period. The average age at referral was 5.7 months (Range 1.5–24). The referring diagnosis included CNS disease (37%), respiratory failure (34%), septicaemic shock (14%), cardiac disease (8.6%) and others (6.4%). Patients were referred from an emergency department (60%) or paediatric ward (31.4%). The average mobilization and stabilization times for ACTS were 33.4 mins (Range 5–315) and 140 mins (Range 40–320) respectively. 94.3% patients demonstrated improvement or plateau in their physiology score with a significant reduction in physiologic score over the stabilization period from 4.17 to 2.88 (1.875 2.2, p=0.002). There was a positive relationship between the length of stabilization and the calculated intervention score (r=0.61, p<0.001). There were no critical incidents or adverse patient or equipment events during transport. 88.6% patients were admitted to the critical care unit at HSC. This study demonstrates that the physiologic condition of critically ill children is improved and the likelihood of adverse events is reduced following aggressive stabilization by a dedicated “mobile ICU” team.

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)0.008
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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