Evidence map›Paper›PMID 35971371›Full record

ArticleCureus2022

The Future of Emergency Medicine (EM) Sim Cases: A Modified Massive Online Needs Assessment.

Anson Dinh, Teresa M Chan, Kyla Caners, Andrew K Hall, Andrew Petrosoniak, Tim Chaplin, Christopher Heyd, Jared B Baylis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Anson DinhCollege of Medicine, University of Saskatchewan, Saskatoon, CAN.
Teresa M ChanEmergency Medicine, McMaster University, Hamilton, CAN.
Kyla CanersEmergency Medicine, Queen's University, Kingston, CAN.
Andrew K HallEmergency Medicine, University of Ottawa, Ottawa, CAN.
Andrew PetrosoniakEmergency Medicine, University of Toronto, Toronto, CAN.
Tim ChaplinEmergency Medicine, Queen's University, Kingston, CAN.
Christopher HeydEmergency Medicine, McMaster University, Hamilton, CAN.
Jared B BaylisEmergency Medicine, The University of British Columbia, Kelowna, CAN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Emergency Medicine (EM) Sim Cases was initially developed in 2015 as a free open-access simulation resource. To ensure the future of EM Sim Cases remains relevant and up to date, we performed a needs assessment to better define our audience and facilitate long-term goals. Methods We delivered a survey using a modified massive-online-needs-assessment methodology through an iterative process with simulation experts from the EM Simulation Educators Research Collaborative. We distributed the survey via email and Twitter and analyzed the data using descriptive statistics and thematic analysis. Results We obtained 106 responses. EM Sim Cases is commonly used by physicians primarily as an educational resource for postgraduate level trainees. Perceived needs included resuscitation, pediatrics, trauma, and toxicology content. Prompted needs included non-simulation-case educational resources, increased case database, and improved website organization. Conclusions Data collected from our needs assessment has defined our audience allowing us to design our long-term goals and strategies.

Indexed as

digital scholarshipeducation needs assessmentemergency medicinefree open access medical educationsimulation in medical education

Identifiers

PMID35971371
PMCPMC9372375

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.