Evidence map›Paper›PMID 35520377›Full record

ArticleBMJ simulation & technology enhanced learning2021

Designing authentic simulations in ROSE and EBUS for undergraduate laboratory medicine students.

Alina Miranda, Alison Kelly, Vincent Williams, Michelle Kelly

Open access · greenAbstract read
In one paragraph

Article in BMJ simulation & technology enhanced learning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Alina MirandaSchool of Pharmacy and Biomedical Science, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0001-8872-588X
Alison KellyFormerly Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia.
Vincent WilliamsSchool of Pharmacy and Biomedical Science, Curtin University, Perth, Western Australia, Australia.
Michelle KellySchool of Nursing, Midwifery & Paramedicine, Curtin University, Perth, Western Australia, Australia.
Curtin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Simulation-based education (SBE) has successfully been implemented in several healthcare professions, more so in the fields of medicine and nursing. Laboratory medicine courses prepare medical scientists for employment in pathology laboratories typically via a staged training regime. Laboratory techniques related to the diagnostic disciplines are introduced to students in a graduated fashion over time for the development of professional skills and technical competencies. For students specialising in diagnostic cytology, there are continual changes to the scope of practice of scientists in industry that require advanced training at undergraduate level to meet expectations of contemporary laboratory testing. Methods: The National Health Education and Training in Simulation (NHET-Sim) framework was applied to create and deliver bespoke simulations for laboratory medicine students. This paper outlines the steps taken, including working with actors and industry partners, to create simulations which contextualise the pressures and team interactions during diagnostic procedures. Findings: Supported by a range of expertise and personnel, five laboratory medicine simulations were developed and delivered to final year students. Details of the steps taken and range of scenarios are included for sharing and discussion. Discussion: SBE can contribute positively to student confidence in communication at interdisciplinary and interprofessional levels in ways that can be essential to successful patient management. Understanding that cytology has now evolved to become part of a multidisciplinary approach to patient-centred care will improve the overall patient outcome and experience to personalised medicine. Conclusion: This paper demonstrates how a high-fidelity SBE scenario can test students' decision-making around technical, clinical and diagnostic competencies in a complex investigation that they would likely experience in industry.

Indexed as

clinical decision makingclinical skills practicecompetency-basedconstructivist / learner centreddeliberate practice

Identifiers

PMID35520377
PMCPMC8936567
OpenAlexW3022849869

What OpenQuestion holds

Textmetadata
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.