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Record W2944155547 · doi:10.7939/r34m91s5v

Developing an Evidence - Informed Pediatric Retrieval System for Alberta

2018· article· en· W2944155547 on OpenAlexaboutno aff
Atsushi Kawaguchi

Bibliographic record

VenueUniversity of Alberta Library · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

As medical care in developed countries has become increasingly specialized, health care resources by necessity have become more regionalized. The assessment and management of critical illness and injury in infants and children require specialized training and experience. To improve patient care and outcomes, specialized pediatric transport teams are commonly used to transfer critically ill or injured children from community hospitals to tertiary care hospitals. The goal of pediatric critical care (PCC) transport is to not only transport patients from community hospitals to tertiary care centers, but do so while providing patient care as close as possible to what would be provided in a Pediatric Intensive Care Unit (PICU). Communities in Alberta are scattered over a large geographic area. Critically ill or injured children are transferred to one of Alberta’s two children’s hospitals (Stollery Children’s Hospital (SCH) in Edmonton, or Alberta Children’s Hospital in Calgary) to receive specialized care. Over the last two decades, a hospital-based PCC transport team in SCH has functioned as the principal provider of inter-hospital transport of critically ill or injured infants and children for Northern Alberta as well as for the Western Arctic. This thesis project aimed: to better understand the unique aspects of PCC transport programs across Canada by characterizing the current workforce of each transport program; to characterize PCC transport activity in Northern Alberta and in the Western Arctic to explore the effect of adult intensive care services/specialties provided at referral hospitals and their association with patient outcomes; to examine the effect of physician non-accompanying PCC transport on patient outcomes; to identify factors that are currently being considered with regards to transport team composition when deploying the PICU transport team; and to explore the impact of patient transport itself on the outcomes of critically ill or injured children. First, in our national survey of PCC transport services, we revealed complexity and variability in transport team demographics, volumes, team compositions, decision-making processes, and quality assurance when comparing programs. Our study also found that many regions in Canada remain under-serviced by PCC transport teams. Second, we made several findings with respect to the currently operating PCC transport system in Northern Alberta and the Western Arctic, such as a low PICU admission rate following transports, an increasing trend in number and distance of transports, an increase in dispatch time over the period studied, significant monthly variations in transport activities, and an expansion in the areas/communities supported by the SCH PCC transport program. We also found that availability of adult intensive care services in referral hospitals might be associated with a higher probability of requiring PICU admission after inter-hospital transport; however, the difference was not consistent among the referral hospitals, suggesting that certain hospital-level factors might affect the likelihood of requiring PICU admission. Third, we found no difference in patient outcomes associated with the increasing use of a physician non-accompanying transport team in our current pediatric retrieval system. An appreciable variation was observed among triage physicians with respect to their team selection (i.e., either sending physician accompanying team or not). Although we did not examine how the triage decision by each physician affected outcomes, our findings suggest the need for a standardized approach to transport triage practice. Finally, we found that children admitted to a PICU who were transported from another hospital by a PCC transport team had higher mortality in the acute phase when compared to children presenting directly to a pediatric emergency department in a tertiary children’s hospital that required PICU admission. It was unclear whether worse outcomes stemmed from the specific patient population presenting to the rural sites, the care provided prior to the arrival of the PCC transport team, and/or the care provided by the PCC transport teams themselves; the existing disparity and its cause need to be further examined by future study.

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)0.075
metaresearch head score (Gemma)0.143
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.728
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0750.143
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0110.007
Science and technology studies0.0030.001
Scholarly communication0.0110.004
Open science0.0090.008
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0150.004

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 head0.122
GPT teacher head0.396
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2018
Admission routes1
Has abstractyes

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