Evidence map›Paper›PMID 30643596›Full record

Trial reportThe western journal of emergency medicine2019

Randomized Controlled Trial of Simulation vs. Standard Training for Teaching Medical Students High-quality Cardiopulmonary Resuscitation.

C Eric McCoy, Asif Rahman, Juan C Rendon, Craig L Anderson, Mark I Langdorf, Shahram Lotfipour, Bharath Chakravarthy

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The western journal of emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 100 citations in OpenAlex.

  1. Trial
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  13. Management of Refractory Anaphylaxis: An Overview of Current Guidelines.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2024
    Review
  14. Article
  15. Article
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  17. A Development of a Sound Recognition-Based Cardiopulmonary Resuscitation Training System.IEEE journal of translational engineering in health and medicine · 2024
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

C Eric McCoyUniversity of California Irvine School of Medicine, Department of Emergency Medicine, Irvine, California.
Asif RahmanUniversity of California Irvine School of Medicine, Department of Emergency Medicine, Irvine, California.
Juan C RendonUniversity of California Irvine School of Medicine, Department of Emergency Medicine, Irvine, California.
Craig L AndersonUniversity of California Irvine School of Medicine, Department of Emergency Medicine, Irvine, California.
Mark I LangdorfUniversity of California Irvine School of Medicine, Department of Emergency Medicine, Irvine, California.
Shahram LotfipourUniversity of California Irvine School of Medicine, Department of Emergency Medicine, Irvine, California.
Bharath ChakravarthyUniversity of California Irvine School of Medicine, Department of Emergency Medicine, Irvine, California.
University of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMost medical schools teach cardiopulmonary resuscitation (CPR) during the final year in course curriculum to prepare students to manage the first minutes of clinical emergencies. Little is known regarding the optimal method of instruction for this critical skill. Simulation has been shown in similar settings to enhance performance and knowledge. We evaluated the comparative effectiveness of high-fidelity simulation training vs. standard manikin training for teaching medical students the American Heart Association (AHA) guidelines for high-quality CPR.

methodsThis was a prospective, randomized, parallel-arm study of 70 fourth-year medical students to either simulation (SIM) or standard training (STD) over an eight-month period. SIM group learned the AHA guidelines for high-quality CPR via an hour session that included a PowerPoint lecture with training on a high-fidelity simulator. STD group learned identical content using a low-fidelity Resusci Anne® CPR manikin. All students managed a simulated cardiac arrest scenario with primary outcome based on the AHA guidelines definition of high-quality CPR (specifies metrics for compression rate, depth, recoil, and compression fraction). Secondary outcome was time to emergency medical services (EMS) activation. We analyzed data via Kruskal-Wallis rank sum test. Outcomes were performed on a simulated cardiac arrest case adapted from the AHA Advanced Cardiac Life Support (ACLS) SimMan® Scenario manual.

resultsStudents in the SIM group performed CPR that more closely adhered to the AHA guidelines of compression depth and compression fraction. Mean compression depth was 4.57 centimeters (cm) (95% confidence interval [CI] [4.30-4.82]) for SIM and 3.89 cm (95% CI [3.50-4.27]) for STD, p=0.02. Mean compression fraction was 0.724 (95% CI [0.699-0.751]) for SIM group and 0.679 (95% CI [0.655-0.702]) for STD, p=0.01. There was no difference for compression rate or recoil between groups. Time to EMS activation was 24.7 seconds (s) (95% CI [15.7-40.8]) for SIM group and 79.5 s (95% CI [44.8-119.6]) for STD group, p=0.007.

conclusionHigh-fidelity simulation training is superior to low-fidelity CPR manikin training for teaching fourth-year medical students implementation of high-quality CPR for chest compression depth and compression fraction.

Indexed as

CurriculumSimulation TrainingStudents, MedicalCaliforniaCardiopulmonary ResuscitationClinical CompetenceHumansManikinsProspective Studies

Identifiers

PMID30643596
PMCPMC6324716
OpenAlexW2904965903

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.