Evidence map›Paper›PMID 41399750›Full record

ArticleResuscitation plus2025

Effect of introduction of an integrated electronic medical record system with semi-automated multi-trigger MET alerts on utilisation of a paediatric RRS and patient outcome.

Mili Shah, Casey Fowler, Farah Zahir, Jason Acworth

Abstract read
In one paragraph

Article in Resuscitation plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mili ShahFaculty of Medicine, University of Queensland, Herston Rd, Herston, QLD 4006, Australia.
Casey FowlerQueensland Children's Hospital, 501 Stanley St, South Brisbane, QLD 4101, Australia.
Farah ZahirCentre for Health Services Research, Faculty of Medicine, University of Queensland, QLD, Australia.
Jason AcworthFaculty of Medicine, University of Queensland, Herston Rd, Herston, QLD 4006, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Queensland Children's Hospital (QCH) uses the Children's Early Warning Tool (CEWT) to identify deterioration and recommend actions such as Medical Emergency Team (MET) activation. In April 2018, QCH implemented an integrated electronic medical record (ieMR) for calculating CEWT scores and a semi-automated trigger system for rapid response system (RRS) activation. This offered a mechanism to decrease obstacles to RRS activation but raised concerns of reduced clinician decision-making and increased unnecessary MET involvement. Methods: RRS activations from May 2016 to April 2020 were included. Pre- and post-intervention measures included MET dose, hospital mortality rate, in-hospital cardiac arrest (IHCA) rate, and unplanned paediatric intensive care unit (PICU) admission rates. Descriptive statistics and interrupted time series (ITS) with segmental regression assessed trends and intervention impact. Objectives: The primary objective was to assess changes in RRS activation frequency two years before and after implementation. Secondary objectives included assessing clinical outcomes: inpatient mortality rate and unplanned PICU admissions requiring emergency interventions within 6 h of transfer. Results: 1284 eligible RRS activations were recorded. Post-intervention: MET dose increased 20 % (8.33 versus 6.90, p < 0.05), mean ward mortality rate decreased 52 % (0.16 versus 0.33, p < 0.05), and unplanned PICU admission rate (non-MET) decreased 15 % (3.42 versus 4.03, p < 0.05). IHCA rate, frequency of unplanned PICU admission (post-MET), or rates of emergency intervention within 6 h of PICU admission demonstrated no significant changes. Conclusions: The semi-automated trigger for RRS activation suggested an effect of decreasing obstacles to RRS activation without associated with extra "unnecessary work" or delays in activation.

Indexed as

Clinical deteriorationIntegrated electronic medical recordMedical Emergency TeamRapid Response SystemSemi-automated trigger

Identifiers

PMID41399750
PMCPMC12702235

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.