Evidence map›Paper›PMID 39354536›Full record

ArticleAdvances in simulation (London, England)2024

Effectiveness of hybrid simulation training on medical student performance in whole-task consultation of cardiac patients: The ASSIMILATE EXCELLENCE randomized waitlist-controlled trial.

Michael Daly, Claire Mulhall, James O'Neill, Walter Eppich, Jonathan Shpigelman, Caitriona Cahir, Daniel Fraughen, Enda McElduff, Catherine Uhomoibhi, Claire Condron

Registry-linked trialAbstract read
In one paragraph

Article in Advances in simulation (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05895799 (Assessing the Utility of Hybrid Simulation With Wearable Technology and Repeated Peer Assessment on Medical Student Learning and Performance in Cardiology Long Case Examinations - the ASSIMILATE ExCELLENCE Study), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT05895799 nacompletednot on this map

Assessing the Utility of Hybrid Simulation With Wearable Technology and Repeated Peer Assessment on Medical Student Learning and Performance in Cardiology Long Case Examinations - the ASSIMILATE ExCELLENCE Study

TypeinterventionalSponsorRoyal College of Surgeons, IrelandRan2021 to 2022Enrolled77ConditionsValvular Heart DiseaseArmsTuition from a expert clinical trainer
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

10 authors.

Michael DalyRCSI SIM Centre for Simulation Education and Research, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland. michaeljohndaly@rcsi.ie.ORCID http://orcid.org/0000-0003-1687-4215
Claire MulhallRCSI SIM Centre for Simulation Education and Research, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.
James O'NeillRCSI SIM Centre for Simulation Education and Research, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.
Walter EppichRCSI SIM Centre for Simulation Education and Research, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.
Jonathan ShpigelmanSchool of Medicine, RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.
Caitriona CahirData Science Centre, School of Population Health, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin, Ireland.
Daniel FraughenSchool of Medicine, RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.
Enda McElduffSchool of Medicine, RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.
Catherine UhomoibhiSchool of Medicine, RCSI University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.
Claire CondronRCSI SIM Centre for Simulation Education and Research, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, 123 St. Stephen's Green, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of comprehensive consultations in medicine, i.e. a complete history, physical examination, and differential diagnosis, is regarded as authentic tests of clinical competence; however, they have been shown to have low reliability and validity due to variability in the real patients used and subjective examiner grading. In the ASSIMILATE EXCELLENCE study, our aim was to assess the effect(s) of expert tuition with hybrid simulation using a simulated patient wearing a novel auscultation vest, i.e. a hybrid simulated patient, and repeated peer grading using scoring checklists on student learning, performance, and acumen in comprehensive consultations of patients with valvular heart disease.

methodsASSIMILATE EXCELLENCE was a randomized waitlist-controlled trial with blinded outcome assessment undertaken between February 2021 and November 2021. Students at the Royal College of Surgeons in Ireland in either the second or third year of the four-year graduate-entry medical degree programme were randomized to a hybrid simulation training or waitlist control group and undertook three consultation assessments of three different clinical presentations of valvular heart disease (cases: C1-C3) using hybrid simulation. Our primary outcome was the difference in total score between and within groups across time; a secondary outcome was any change in inter-rater reliability across time. Students self-reported their proficiency and confidence in comprehensive consultations using a pre- and post-study survey.

resultsIncluded were 68 students (age 27.6 ± 0.1 years; 74% women). Overall, total score was 39.6% (35.6, 44.9) in C1 and increased to 63.6% (56.7, 66.7) in C3 (P < .001). On intergroup analysis, a significant difference was observed between groups in C2 only (54.2 ± 7.1% vs. 45.6 ± 9.2%; P < .001), a finding that was mainly driven by a difference in physical examination score. On intragroup analysis, significant improvement in total score across time between cases was also observed. Intraclass correlation coefficients for each pair of assessors were excellent (0.885-0.996 [0.806, 0.998]) in all cases. Following participation, students' confidence in comprehensive consultation assessments improved, and they felt more prepared for their future careers.

conclusionsHybrid simulation-based training improves competence and confidence in medical students undertaking comprehensive consultation assessment of cardiac patients. In addition, weighted scoring checklists improve grading consistency, learning through peer assessment, and feedback. Trial registration ClinicalTrials.gov Identifier: NCT05895799.

Indexed as

CardiologyClerkshipComposite narrativeConsultationHybrid simulationWhole task

Identifiers

PMID39354536
PMCPMC11445880

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Registered trials

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.