Evidence map›Paper›PMID 38686162›Full record

ArticleMedical science educator2024

Podcast-Based Medical Education and Content Alignment with National Education Bodies.

Dave Ho, Lucas Horta, Shivkumar Bhadola, Michelle C Kaku, K H Vincent Lau

Abstract read
In one paragraph

Article in Medical science educator, 2024. 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

5 authors.

Dave HoDepartment of Neurology, Boston University School of Medicine, 725 Albany Street, Floor 7, Boston, MA 02118 USA.
Lucas HortaDepartment of Neurology, Boston University School of Medicine, 725 Albany Street, Floor 7, Boston, MA 02118 USA.
Shivkumar BhadolaDepartment of Neurology, Boston University School of Medicine, 725 Albany Street, Floor 7, Boston, MA 02118 USA.
Michelle C KakuDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY USA.
K H Vincent LauDepartment of Neurology, Boston University School of Medicine, 725 Albany Street, Floor 7, Boston, MA 02118 USA.ORCID 0000-0003-1416-5589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite the rapid expansion of medical education podcasts in the past decade, there are few efforts to characterize the landscape of available content for specific medical specialties. We trialed a method of rigorous characterization for the field of neurology. Materials and Methods: Using a censoring date of July 25, 2022, we queried the top three podcast platforms for neurology education podcasts: Apple Podcasts, Spotify, and Google Podcasts. We characterized podcasts based on total number of episodes, episode release frequency, target audience, and affiliation type. We characterized individual episodes by length and primary content area as defined by the Accreditation Council for Graduate Medical Education (ACGME) and American Board of Psychiatry and Neurology (ABPN). We compared content availability with content recommendations from these education bodies. Results: We identified 30 podcasts sharing 1772 episodes and totaling 46,287 min. The ACGME subspecialties most frequently covered were vascular neurology (5082 total min, 11%), neuroimmunology (4,406, 10%), and neuromuscular diseases (3,771, 8%). Subjects that were underrepresented included palliative neurology (89 min, 0.2%), neuropathology (95 min, 0.2%), and bioethics (171 min, 0.4%). The coverage of ABPN examination topics varied substantially from the content distribution for the examination. Discussion: The current landscape of neurology education podcasts features heterogeneous coverage of topics and varies considerably from recommended distribution of content by national education bodies. As podcasts have tremendous potential in supplementing neurology education, characterizing available content may help various stakeholders in the neurology education pipeline optimize the use of this e-learning modality. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01971-0.

Indexed as

ABPNACGMEBoard examinationNeurologyPodcast

Identifiers

PMID38686162
PMCPMC11055842

What OpenQuestion holds

Textmetadata
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.