Evidence map›Paper›PMID 38887414›Full record

ArticleMedical science educator2024

Using Neurology Trainees as Standardized Patients in a Neurological Emergency Simulation Curriculum for Medical Students.

Galina Gheihman, G Kyle Harrold, Danielle Howard, Catherine S W Albin, Tamara B Kaplan

Abstract read
In one paragraph

Article in Medical science educator, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Galina GheihmanDepartment of Neurology, Brigham & Women's Hospital, Boston, MA USA.ORCID 0000-0003-1599-3271
G Kyle HarroldDepartment of Neurology, Brigham & Women's Hospital, Boston, MA USA.
Danielle HowardDepartment of Neurology, Tufts Medical Center, Boston, MA USA.
Catherine S W AlbinDepartment of Neurology, Emory University School of Medicine, Atlanta, GA USA.
Tamara B KaplanDepartment of Neurology, Brigham & Women's Hospital, Boston, MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Simulation manikins have limited ability to mimic neurological exam findings, which has historically constrained their use in neurology education. We developed a cased-based simulation curriculum in which neurology trainees acted as standardized patients (SPs) and portrayed the neurologic exam for medical students. Materials/Methods: We ran monthly simulations of two cases (acute stroke and seizure) with resident/fellow SPs. Pre-/post-session surveys assessed students' self-rated confidence in neurological clinical skills (gathering a history, performing an exam, presenting a case) and knowledge domains. Questions about students' attitudes about neurology were adapted from a validated assessment tool. Paired Results: Sixty-one students participated. Post-session, students reported significantly higher self-confidence in all neurological clinical skills and knowledge domains ( Conclusions: A case-based simulation curriculum with neurology trainees portraying the SP increased students' self-reported knowledge, skills, and confidence in managing neurological emergencies. Our intervention may improve medical student neurology education and increase interest in the field. Future research should evaluate clinical skills objectively. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-024-02016-w.

Indexed as

Acute ischemic strokeNeurologySimulation learningStatus epilepticusUndergraduate medical education

Identifiers

PMID38887414
PMCPMC11180045

What OpenQuestion holds

Textmetadata
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Registered trials

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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.