Evidence map›Paper›PMID 36348897›Full record

ArticleCureus2022

Analysis of YouTube Videos on Pregnant COVID-19 Patients During the Pandemic Period.

Ayhan Atigan

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. YouTube and COVID-19 vaccines: A mini scoping review.Human vaccines & immunotherapeutics · 2023
    Article
  3. Article
  4. Article
  5. 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

1 author.

Ayhan AtiganObstetrics and Gynaecology, Karabuk University, Karabük, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePregnant women often refer to YouTube videos when they are worried about themselves and/or their baby. This study aims to evaluate COVID-19 and pregnancy-related content on YouTube, the platform that comes to mind first when social media is mentioned.

methodsYouTube videos were evaluated between September 7-10, 2022. "COVID-19 pregnancy" videos with more than 100.000 views were included in the study. The content and technical data of 45 videos were recorded. The videos were scored using the DISCERN score, Video Power Index (VPI), and Global Quality Scale (GQS).

resultsOf the 45 videos with a mean duration of 432 seconds, 32 (71.1%) of them originated in the USA, 38 (84.4%) of them were presented by healthcare workers, and 36 (80.0%) of them recommended vaccination. Accounts producing the videos had a mean of 3,037,619 subscribers. The videos we analyzed were viewed a mean of 522836 times. These videos had 9287 likes and 1891 comments. The DISCERN, VPI, and GQS mean scores of the videos were 32.36, 74.76, and 3.82, respectively.

conclusionIn order to correctly inform society about health problems, healthcare workers must make presentations on YouTube with a controlled mechanism. There is confusion about information on the internet, and people must acquire information selectively.

Indexed as

coronaviruscovid-19 retropandemicpregnancysars-cov-2youtube

Identifiers

PMID36348897
PMCPMC9634676

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.