Evidence map›Paper›PMID 25064122›Full record

Trial reportBMC medical education2014

Computer-based simulation training in emergency medicine designed in the light of malpractice cases.

Akan Karakuş, Latif Duran, Yücel Yavuz, Levent Altintop, Fatih Calişkan

Abstract readClinical Trial
In one paragraph

Trial report in BMC medical education, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. The Growing Need for Web-Based Simulation in Low- and Middle-Income Countries.JNMA; journal of the Nepal Medical Association · 2024
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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

5 authors.

Akan KarakuşDepartment of Medical Education, Ondokuz Mayis University Faculty of Medicine, Kurupelit, Samsun, Turkey. akan.karakus@omu.edu.tr.
Latif Duran
Yücel Yavuz
Levent Altintop
Fatih Calişkan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing computer-based simulation systems in medical education is becoming more and more common. Although the benefits of practicing with these systems in medical education have been demonstrated, advantages of using computer-based simulation in emergency medicine education are less validated. The aim of the present study was to assess the success rates of final year medical students in doing emergency medical treatment and evaluating the effectiveness of computer-based simulation training in improving final year medical students' knowledge.

methodsTwenty four Students trained with computer-based simulation and completed at least 4 hours of simulation-based education between the dates Feb 1, 2010 - May 1, 2010. Also a control group (traditionally trained, n =24) was chosen. After the end of training, students completed an examination about 5 randomized medical simulation cases.

resultsIn 5 cases, an average of 3.9 correct medical approaches carried out by computer-based simulation trained students, an average of 2.8 correct medical approaches carried out by traditionally trained group (t = 3.90, p < 0.005). We found that the success of students trained with simulation training in cases which required complicated medical approach, was statistically higher than the ones who didn't take simulation training (p ≤ 0.05).

conclusionsComputer-based simulation training would be significantly effective in learning of medical treatment algorithms. We thought that these programs can improve the success rate of students especially in doing adequate medical approach to complex emergency cases.

Indexed as

Computer-Assisted InstructionMalpracticeEducational MeasurementEmergenciesEmergency MedicineFemaleHumansMaleProgram EvaluationUser-Computer Interface

Identifiers

PMID25064122
PMCPMC4119180

What OpenQuestion holds

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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.