Evidence map›Paper›PMID 37292063›Full record

ArticleAEM education and training2023

The impact of a smartphone-based cognitive aid on clinical performance during cardiac arrest simulations: A randomized controlled trial.

Samuel L Brophy, Michael R McCue, Riley M Reel, Tristan D Jones, Roger D Dias

Open access · hybridAbstract read
In one paragraph

Article in AEM education and training, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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 at 3 institutions in 2 countries.

Samuel L BrophyFaculty of Medicine University of British Columbia Vancouver British Columbia Canada.ORCID https://orcid.org/0000-0003-3921-2759
Michael R McCueFaculty of Medicine University of British Columbia Vancouver British Columbia Canada.ORCID https://orcid.org/0000-0001-6395-6622
Riley M ReelFaculty of Medicine University of British Columbia Vancouver British Columbia Canada.ORCID https://orcid.org/0000-0002-4226-1263
Tristan D JonesFaculty of Medicine University of British Columbia Vancouver British Columbia Canada.ORCID https://orcid.org/0000-0002-9511-7900
Roger D DiasDepartment of Emergency Medicine Harvard Medical School Boston Massachusetts USA.ORCID https://orcid.org/0000-0003-4959-5052
Island Health · CAUniversity of British Columbia · CABrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: In-hospital cardiac arrests are common and associated with high mortality. Smartphone applications offer quick access to algorithms and timers but often lack real-time guidance. This study assesses the impact of the Code Blue Leader application on the performance of providers leading cardiac arrest simulations. Methods: This open-label randomized controlled trial included Advanced Cardiac Life Support (ACLS)-trained medical doctors (MD) and registered nurses (RN). Participants were randomized to lead the same ACLS simulation with or without the app. The primary outcome, "performance score," was assessed by a trained rater using a validated ACLS scoring system. Secondary outcomes included percentage of critical actions performed, number of incorrect actions, and chest compression fraction (percentage of time spent performing chest compressions). A sample size of 30 participants was calculated to detect a difference of 20% at the 0.05 alpha level with 90% power. Results: Fifteen MDs and 15 RNs underwent stratified randomization. The median (interquartile range) performance score in the app group was 95.3% (93.0%-100.0%) compared to 81.4% (60.5%-88.4%) in the control group, demonstrating an effect size of Conclusions: The Code Blue Leader smartphone app significantly improved the performance of ACLS-trained providers in cardiac arrest simulations.

Identifiers

PMID37292063
PMCPMC10245296
OpenAlexW4379966418

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.