ArticlePublic health nursing (Boston, Mass.)2023
Filipinos' COVID-19 vaccine hesitancy comments in TikTok videos: A manifest content analysis.
Article in Public health nursing (Boston, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Comments on Dermatologists' TikTok Videos on Atopic Dermatitis: Content Analysis.JMIR dermatology · 2026Article
- Drivers for Decision Change in Getting Vaccinated against COVID-19: A Retrospective Cross-sectional Study.Acta medica Philippina · 2026Article
- TikTok as a source of information for migraine: a content quality analysis.Oxford open digital health · 2026Article
- Descriptive analysis of TikTok content on vaccination in Arabic.AIMS public health · 2025Article
- What women want to hear: the helpful and unhelpful comments reported by women struggling with infertility amidst the COVID-19 pandemic.PloS one · 2025Article
- Reducing Barriers to COVID-19 Vaccination Uptake: Community Ideas from Urban and Rural Kenya.International journal of environmental research and public health · 2023Article
- Filipinos' COVID-19 vaccine hesitancy comments in TikTok videos: A manifest content analysis.Public health nursing (Boston, Mass.) · 2023Article
- Clearness qualitative comparative analysis of the spread of TikTok health science knowledge popularization accounts.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesVaccine hesitancy is one of the top 10 threats to world health. The ongoing pandemic highlighted this health threat. The COVID-19 vaccine hesitancy remains underreported in the Philippines. Thus, this study aimed to describe and analyze the comments of Filipinos in TikTok videos about COVID-19 vaccine hesitancy.
designManifest content analysis. SAMPLE: A total of 25 TikTok videos and their comments (n = 4564) were analyzed.
methodsWe collected data between July 2021 and October 2021. Bengtsson's approach to content analysis was utilized to analyze the data. Data were validated using member-checking and intercoder reliability.
resultsThis study afforded three themes of COVID-19 vaccine hesitancy: (a) fear and mistrust (subthemes: influence of Dengvaxia vaccine, the influence of people who refuse to be vaccinated, lack of trust in the government, lack of trust in healthcare workers, doubts on vaccines' effectiveness), (b) misinformation and disinformation (subthemes: misbeliefs, insufficient knowledge), and (c) adamant attitudes (subthemes: unwillingness to be vaccinated, picky on vaccine brand).
conclusionOur study established Filipinos' diverse reasons for COVID-19 vaccine hesitancy. TikTok, as a social media platform, is used for COVID-19 vaccine discussions and the dissemination of misinformation. To prepare for the next pandemic or public health disaster, the government, HCWs, and the public must efficiently convey timely, accurate health information and dispel misinformation on social media platforms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.