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Record W2073442535 · doi:10.1186/s12913-014-0546-9

The effectiveness of telemedicine for paediatric retrieval consultations: rationale and study design for a pragmatic multicentre randomised controlled trial

2014· article· en· W2073442535 on OpenAlexfundno aff
Nigel R Armfield, M G Coulthard, Anthony Slater, Julie McEniery, Mark Elcock, Robert S. Ware, Paul Scuffham, Mark Bensink, Anthony C Smith

Bibliographic record

VenueBMC Health Services Research · 2014
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsnot available
FundersChildren's Health FoundationChildren's Medical Research
KeywordsMedicineTelemedicineContext (archaeology)Health informaticsMedical emergencyNursing researchHealth services researchHealth administrationEarly warning scorePatient satisfactionPublic healthHealth careEmergency medicineFamily medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: In many health systems, specialist services for critically ill children are typically regionalised or centralised. Studies have shown that high-risk paediatric patients have improved survival when managed in specialist centres and that volume of cases is a predictor of care quality. In acute cases where distance and time impede access to specialist care, clinical advice may be provided remotely by telephone. Emergency retrieval services, attended by medical and nursing staff may be used to transport patients to specialist centres. Even with the best quality retrieval services, stabilisation of the patient and transport logistics may delay evacuation to definitive care. Several studies have examined the use of telemedicine for providing specialist consultations for critically ill children. However, no studies have yet formally examined the clinical effectiveness and economic implications of using telemedicine in the context of paediatric patient retrieval. METHODS/DESIGN: The study is a pragmatic, multicentre randomised controlled trial running over 24 months which will compare the use of telemedicine with the use of the telephone for paediatric retrieval consultations between four referring hospitals and a tertiary paediatric intensive care unit. We aim to recruit 160 children for whom a specialist retrieval consultation is required. The primary outcome measure is stabilisation time (time spent on site at the referring hospital by the retrieval team) adjusted for initial risk. Secondary outcome measures are change in patient's physiological status (repeated measure, two time points) scored using the Children's Emergency Warning Tool; change in diagnosis (repeated measure taken at three time points); change in destination of retrieved patients at the tertiary hospital (general ward or paediatric intensive care unit); retrieval decision, and length of stay in the Paediatric Intensive Care Unit for retrieved patients. The trial has been approved by the Human Research Ethics Committees of Children's Health Services Queensland and The University of Queensland, Australia. DISCUSSION: Health services are adopting telemedicine, however formal evidence to support its use in paediatric acute care is limited. Generalisable evidence is required to inform clinical use and health system policy relating to the effectiveness and economic implications of the use in telemedicine in paediatric retrieval. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN12612000156886 .

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)0.098
metaresearch head score (Gemma)0.123
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.098
Threshold uncertainty score0.517

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.123
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0150.011
Bibliometrics0.0040.005
Science and technology studies0.0020.008
Scholarly communication0.0050.006
Open science0.0040.003
Research integrity0.0140.006
Insufficient payload (model declined to judge)0.0140.002

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 head0.060
GPT teacher head0.448
Teacher spread0.388 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations12
Published2014
Admission routes1
Has abstractyes

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