Evidence map›Paper›PMID 38486550›Full record

SynthesisMedEdPublish (2016)2021

Medical Education in a Post COVID-19 era - remote teaching methods for cardiovascular knowledge and skills.

Bernadeta Bridgwood, Cezar Sabbagh, John Houghton, Andrew Nickinson, Coral Pepper, Rob Sayers

Abstract readSystematic Review
In one paragraph

Synthesis in MedEdPublish (2016), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Bernadeta BridgwoodUniversity of Leicester.
Cezar SabbaghUniversity of Leicester.
John HoughtonUniversity of Leicester.
Andrew NickinsonUniversity of Leicester.
Coral PepperUniversity Hospitals of Leicester.
Rob SayersUniversity of Leicester.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article was migrated. The article was marked as recommended. Introduction As traditional clinical teaching faces major obstacles during the COVID-19 pandemic, medical educators look toward remote teaching methods to provide solutions to allow continuation of teaching. Remote methods, teaching delivered other than face-to-face, align with the transformation seen within pedagogy over the last 20 years. Aim The aim of this scoping review was to i) identify existing teaching methods available to remotely teach cardiovascular knowledge or skills and ii) identify if they have been evaluated. Methods A scoping review of the literature was undertaken to synthesise available evidence and examine remote teaching methods for application to undergraduate medical education. Results Forty-two articles were identified which presented remote teaching methods using either teaching based online, computer-programs, digital resources, mobile-phone technology, podcasts, serious gaming, social media or resources to aid self-directed learning. Although results were heterogenous, they gave an indication of the method's usefulness. However, evaluations were not consistent and if they were, would have strengthened the value of the findings. Conclusion Various remote teaching methods are available to replace face-to-face cardiovascular teaching where this is not possible. Evidence for effectiveness and engagement of individual platforms are variable. Given the ongoing COVID-19 pandemic, medical educators should prioritise ongoing evaluation of remote teaching methods and share best practice.

Indexed as

Cardiovascularcurriculum planningremote teachingundergraduate

Identifiers

PMID38486550
PMCPMC10939632

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.