Evidence map›Paper›PMID 35396130›Full record

ArticleAnnals of emergency medicine2022

Gender Distribution of Emergency Medicine Podcast Speakers.

Alexandra Mannix, Katarzyna Gore, Melissa Parsons, Maham Rehman, Sandra Monteiro, Michael Gottlieb

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Article in Annals of emergency medicine, 2022. 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
–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

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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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alexandra MannixDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL. Electronic address: ALMannix@gmail.com.
Katarzyna GoreDepartment of Emergency Medicine, Rush University Medical Center. Chicago, IL.
Melissa ParsonsDepartment of Emergency Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, FL.
Maham RehmanMichael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario.
Sandra MonteiroDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario.
Michael GottliebDepartment of Emergency Medicine, Rush University Medical Center. Chicago, IL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveOver the past 2 decades, podcasting has become an easy and inexpensive way to disseminate information. Given the increasing importance of podcasts in medicine and medical education, it is important to understand the current status of diverse voices on podcasts. The primary objective of this study was to describe the distribution of women and men as hosts and guest speakers among 3 popular emergency medicine podcasts across a 10-year period. The secondary objective was to evaluate the association between host gender and speaker gender.

methodsWe performed a retrospective cohort study of the gender distribution of hosts and guest speakers among 3 popular emergency medicine podcasts from July 2011 to June 2021. Data were extracted and their gender determined using pronouns listed in their faculty profiles or using Genderize. The data were presented descriptively using subanalyses by year and the type of speaker. We calculated the odds ratio (OR) with 95% confidence interval (CI) for the likelihood of a single host predicting a speaker's gender.

resultsWe identified 2,834 podcasts (n=5,962 speakers), with 964 (16.2%) women and 4,996 (83.8%) men speakers. Among hosts, 10.2% were women and 89.8% were men, whereas among guest speakers, 23.4% were women and 76.5% were men. The distribution of women speakers increased from 9.1% in 2011 to 23.1% in 2021. Having a woman host had an OR of 2.40 (95% CI 1.72 to 3.34) for having a woman guest speaker, whereas having a man host had an OR of 0.42 (95% CI 0.30 to 0.58) for having a woman guest speaker.

conclusionAmong the 3 popular emergency medicine podcasts, there are few women speakers, hosts, and guest speakers; however, the proportion has risen over the past 10 years.

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Emergency MedicineFemaleHumansLanguageMaleRetrospective Studies

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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.