Evidence map›Paper›PMID 29207454›Full record

ReviewKorean journal of medical education2017

Podcasting in medical education: a review of the literature.

Daniel Cho, Michael Cosimini, Juan Espinoza

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Korean journal of medical education, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
–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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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22 more citing papers are in PubMed but not listed here.

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

3 authors.

Daniel ChoKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Michael CosiminiKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Juan EspinozaKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Podcasts are increasingly being used for medical education, both within teaching institutions and on an international scale by major journals. To date, there are no evidence-based guidelines for the development of educational podcasts. To review the state of the literature, MEDLINE, SCOPUS, and ERIC were searched in May 2016 for articles describing audio format podcasts used in medical education. Eighty-four articles met inclusion criteria. A qualitative synthesis of the evidence was done using Kirkpatrick's model for evaluating outcomes. Twenty-four articles described reaction outcomes, eleven described learning outcomes, and one described behavioral outcomes. None measured patient impact. The literature demonstrates that podcasts are both feasible and accepted by learners. The mean length of reported podcasts was 18 minutes, which falls within the recommended range in at least one paper, and is consistent with reported listener preference. Interview format, clear disclosures, and accurate information were reported as desirable. There is limited evidence showing the efficacy of podcasts as teaching tools, or regarding best practices in making podcasts. More rigorous studies evaluating efficacy, changes in behavior, and changes in patient outcomes need to be performed in order to prove podcasts' value and to justify production costs.

Indexed as

Education, MedicalInternetLearningTeachingHumansContinuing medical educationGraduate medical educationMedical educationWebcasts as topic

Identifiers

PMID29207454
PMCPMC5717411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.