Evidence map›Paper›PMID 40890808›Full record

ArticleAdvances in simulation (London, England)2025

Outreach simulation for system improvement: a novel advocacy and reporting process.

A St-Onge-St-Hilaire, B Lawton, L Dodson, J Acworth, D Hufton, B Symon

Abstract read
In one paragraph

Article in Advances in simulation (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

A St-Onge-St-HilaireSimulation Training Optimising Resuscitation for Kids (STORK) Statewide Simulation Service, Queensland Children's Hospital, South Brisbane, QLD, Australia.
B LawtonSimulation Training Optimising Resuscitation for Kids (STORK) Statewide Simulation Service, Queensland Children's Hospital, South Brisbane, QLD, Australia.
L DodsonSimulation Training Optimising Resuscitation for Kids (STORK) Statewide Simulation Service, Queensland Children's Hospital, South Brisbane, QLD, Australia.
J AcworthSimulation Training Optimising Resuscitation for Kids (STORK) Statewide Simulation Service, Queensland Children's Hospital, South Brisbane, QLD, Australia.
D HuftonNHS Forth Valley, Scottish Centre for Simulation and Clinical Human Factors (SCSCHF), Larbert, Scotland.
B SymonSimulation Training Optimising Resuscitation for Kids (STORK) Statewide Simulation Service, Queensland Children's Hospital, South Brisbane, QLD, Australia. drbensymon@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealthcare simulation programmes measuring their value risk wasting resources in attempts to prove they impact patient outcomes. Simulation is one of many strategies used to enhance healthcare systems, and proving specific correlation with simulation will prove impossible in many circumstances. To maintain accountability but ensure feasibility, we argue simulation services need measurement processes that are robust, achievable, and synergistic with their mission. In 2023, the STORK service in Queensland, Australia, began measuring the impact of simulation on systems rather than patients to define the extent to which their educational programmes could impact system improvement.

methodsTranslational simulation methodologies and quality improvement measures were embedded in an established educational course. We used simulation activities to diagnose environmental and system-level problems in participants' workplaces throughout Queensland. Courses included dedicated time to discuss site-specific actionable solutions with participants and identified local champions to implement quality improvement changes. By designing a novel electronic reporting process (Optimus PRIME Course Summary), we documented issues and solutions identified in regional healthcare facilities and ensured they reached key stakeholders. We audited our ability to improve these systems through follow-up data collection via phone and emails with local educators across the state.

resultsFrom 40 courses delivered across 37 facilities, 242 issues were identified, primarily related to drug safety and equipment management. At follow-up, 45.5% of the issues were resolved, with 44.6% still being addressed. Recommended resources were successfully implemented in 64% of sites.

conclusionThis process demonstrates that focusing on system-level changes can significantly enhance healthcare systems. The reporting framework provided a robust, achievable, and synergistic method to measure simulation impact and influence change. Additionally, we share key lessons learned from the process to guide other simulation services in improving their own measurement strategies.

Indexed as

Healthcare systems improvementHuman factors in simulationIn situ simulationKirkpatrick modelLatent safety threatsOutreach simulationPediatric resuscitationQuality improvementRegional healthcareSimulation-based educationSimulation impact measurementSimulation reportingSystem-level changeTranslational simulation

Identifiers

PMID40890808
PMCPMC12403477

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.