Evidence map›Paper›PMID 36794333›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2023

Examining understandability, information quality, and presence of misinformation in popular YouTube videos on sleep compared to expert-led videos.

Rebecca Robbins, Lawrence J Epstein, Jay M Iyer, Matthew D Weaver, Sogol Javaheri, Olabimpe Fashanu, Stacy Loeb, Kristen Monten, Colin Le, Suzanne M Bertisch and 2 more

Abstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

Rebecca RobbinsDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
Lawrence J EpsteinDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
Jay M IyerDepartments of Molecular and Cellular Biology and Statistics, Harvard University, Cambridge, Massachusetts.
Matthew D WeaverDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
Sogol JavaheriDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
Olabimpe FashanuDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
Stacy LoebDepartment of Urology and Population Health, New York University School of Medicine and Manhattan Veterans Affairs, New York, New York.
Kristen MontenMiddlebury College, Middlebury, Vermont.
Colin LeDepartments of Molecular and Cellular Biology and Statistics, Harvard University, Cambridge, Massachusetts.
Suzanne M BertischDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.
Jan Van Den BulckDepartment of Media and Communication, University of Michigan, Ann Arbor, Michigan.
Stuart F QuanDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.

Funding

An mHealth intervention to deliver personalized messages to increase adherence to OSA evaluation and treatment among transportation workersK01HL150339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROBBINS, REBECCA · 2020 to 2024
$708k
NHLBI NIH HHS K01 HL150339
6 · The paper itself

Abstract

The Internet is a common source of sleep information but may be subject to commercial bias and misinformation. We compared the understandability, information quality, and presence of misinformation of popular YouTube videos on sleep to videos with credible experts. We identified the most popular YouTube videos on sleep/insomnia and 5 videos from experts. Videos were assessed for understanding and clarity using validated instruments. Misinformation and commercial bias were identified by consensus of sleep medicine experts. The most popular videos received, on average, 8.2 (± 2.2) million views; the expert-led videos received, on average, 0.3 (± 0.2) million views. Commercial bias was identified in 66.7% of popular videos and 0% of expert videos ( CITATION: Robbins R, Epstein LJ, Iyer JM, et al. Examining understandability, information quality, and presence of misinformation in popular YouTube videos on sleep compared to expert-led videos.

Indexed as

Sleep Initiation and Maintenance DisordersSocial MediaCommunicationHumansSleepVideo RecordinginsomniamisinformationsleepYouTube

Identifiers

PMID36794333
PMCPMC10152351

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.