Evidence map›Paper›PMID 35029536›Full record

ArticleJMIR nursing2022

Investigating #covidnurse Messages on TikTok: Descriptive Study.

Bhavya Yalamanchili, Lorie Donelle, Leo-Felix Jurado, Joseph Fera, Corey H Basch

Abstract read
In one paragraph

Article in JMIR nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Bhavya YalamanchiliWilliam Paterson University, Wayne, NJ, United States.ORCID https://orcid.org/0000-0002-8660-3907
Lorie DonelleWestern University, London, ON, Canada.ORCID https://orcid.org/0000-0001-9276-8639
Leo-Felix JuradoWilliam Paterson University, Wayne, NJ, United States.ORCID https://orcid.org/0000-0003-3709-3434
Joseph FeraLehman College, Bronx, NY, United States.ORCID https://orcid.org/0000-0002-9394-8735
Corey H BaschWilliam Paterson University, Wayne, NJ, United States.ORCID https://orcid.org/0000-0003-4862-4229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring a time of high stress and decreased social interaction, nurses have turned to social media platforms like TikTok as an outlet for expression, entertainment, and communication.

objectiveThe purpose of this cross-sectional content analysis study is to describe the content of videos with the hashtag #covidnurse on TikTok, which included 100 videos in the English language.

methodsAt the time of the study, this hashtag had 116.9 million views. Each video was coded for content-related to what nurses encountered and were feeling during the COVID-19 pandemic.

resultsCombined, the 100 videos sampled received 47,056,700 views; 76,856 comments; and 5,996,676 likes. There were 4 content categories that appeared in a majority (>50) of the videos: 83 showed the individual as a nurse, 72 showed the individual in professional attire, 58 mentioned/suggested stress, 55 used music, and 53 mentioned/suggested frustration. Those that mentioned stress and those that mentioned frustration received less than 50% of the total views (n=21,726,800, 46.17% and n=16,326,300, 34.69%, respectively). Although not a majority, 49 of the 100 videos mentioned the importance of nursing. These videos garnered 37.41% (n=17,606,000) of the total views, 34.82% (n=26,759) of the total comments, and 23.85% (n=1,430,213) of the total likes. So, despite nearly half of the total videos mentioning how important nurses are, these videos received less than half of the total views, comments, and likes.

conclusionsSocial media and increasingly video-related online messaging such as TikTok are important platforms for social networking, social support, entertainment, and education on diverse topics, including health in general and COVID-19 specifically. This presents an opportunity for future research to assess the utility of the TikTok platform for meaningful engagement and health communication on important public health issues.

Indexed as

burnoutCOVID-19COVID-19 pandemicdigital peer supporthealth communicationnursenursingpandemicpeer supportsocial mediasocial supportstressTikTok

Identifiers

PMID35029536
PMCPMC8763309

What OpenQuestion holds

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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.