Evidence map›Paper›PMID 38774828›Full record

ArticleAEM education and training2024

Applying simulation learning theory to identify instructional strategies for Generation Z emergency medicine residency education.

Michael Hrdy, Emily M Tarver, Charles Lei, Hillary C Moss, Ambrose H Wong, Tiffany Moadel, Lars K Beattie, Michael Lamberta, Stephanie B Cohen, Michael Cassara and 4 more

Abstract read
In one paragraph

Article in AEM education and training, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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  3. Review
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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

14 authors.

Michael HrdyUniversity of Pennsylvania Perelman School of Medicine Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-6083-917X
Emily M TarverUniversity of Mississippi Medical Center Jackson Mississippi USA.ORCID https://orcid.org/0009-0000-3209-2630
Charles LeiHennepin County Medical Center Minneapolis Minnesota USA.ORCID https://orcid.org/0000-0002-0412-4372
Hillary C MossMontefiore Medical Center Bronx New York USA.ORCID https://orcid.org/0009-0009-3293-7053
Ambrose H WongYale University School of Medicine New Haven Connecticut USA.ORCID https://orcid.org/0000-0001-7471-1647
Tiffany MoadelDonald and Barbara Zucker School of Medicine at Hofstra Northwell Hempstead New York USA.ORCID https://orcid.org/0000-0001-6326-209X
Lars K BeattieUniversity of Florida College of Medicine Gainesville Florida USA.ORCID https://orcid.org/0000-0002-1287-5598
Michael LambertaMaimonides Medical Center Brooklyn New York USA.ORCID https://orcid.org/0009-0004-1919-1959
Stephanie B CohenUniversity of Central Florida Orlando Florida USA.ORCID https://orcid.org/0009-0007-5385-9563
Michael CassaraDonald and Barbara Zucker School of Medicine at Hofstra Northwell Hempstead New York USA.ORCID https://orcid.org/0000-0001-6483-4838
Michelle D HughesUniversity of Wisconsin Madison Wisconsin USA.ORCID https://orcid.org/0000-0001-9209-0506
Aga De CastroUniversity of Connecticut School of Medicine Farmington Connecticut USA.ORCID https://orcid.org/0009-0007-8936-7333
Nidhi SahiUniversity of Toronto Toronto Ontario Canada.ORCID https://orcid.org/0000-0003-0706-0359
Tina H ChenSaint Louis University Saint Louis Missouri USA.ORCID https://orcid.org/0000-0002-6641-2687

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Introduction: Generation Z learners are entering emergency medicine (EM) residency training, bringing unique learning preferences that influence their engagement with residency education. To optimally teach and motivate this incoming generation of learners, EM educators must understand and adapt to the changing instructional landscape. Methodology: The Simulation Leaders Advancing the Next Generation in Emergency Medicine (SLANG-EM) Workgroup was created to identify effective educational strategies for Generation Z learners entering EM. Members were faculty in the Society for Academic Emergency Medicine (SAEM) Simulation Academy, well versed in learning theory supporting simulation-based education (SBE) and actively involved in EM residency education. Unique treatment/analysis: Through primary and secondary literature searches, the SLANG-EM Workgroup identified four distinctive learning preferences of Generation Z learners: (1) individualized and self-paced learning, (2) engaging and visual learning environments, (3) immediate and actionable feedback, and (4) combined personal and academic support. Workgroup members evaluated these learning preferences using a novel conceptual framework informed by the theoretical principles underpinning SBE, recommending instructional strategies for Generation Z EM residency learners across multiple educational environments. Implications for educators: Instructional strategies were described for the didactic, simulation, and clinical learning environments. In the didactic environment, identified instructional strategies included meaningful asynchronous education, interactive small-group learning, and improved multimedia design. In the simulation environment, educational innovations particularly suitable for Generation Z learners included learner-centered debriefing, rapid-cycle deliberate practice, and virtual simulation. In the clinical environment, described instructional strategies involved setting learner-centered goals and delivering facilitative feedback in the context of an educational alliance. Overall, these instructional strategies were clustered around themes of student-centered education and the educator as facilitator, which align well with Generation Z learning preferences. These findings were synthesized and presented as an advanced workshop, "Delivering Effective Education to the Next Generation," at the 2023 SAEM Annual Meeting.

Identifiers

PMID38774828
PMCPMC11102949

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.