Trial reportBMC public health2022
COVID-19 myth-busting: an experimental study.
Trial report in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed.
- Implementation and User Evaluation of the SANGYAN Digital Health Platform to Enhance Knowledge About COVID-19 and Other Health Conditions: Quasi-Experimental Study.JMIR infodemiology · 2026Article
- The good, the bad, and the ugly: A qualitative evaluation of web-based COVID-19 vaccine communication in Canada.Human vaccines & immunotherapeutics · 2025Article
- Manuscript Title: Regulatory and Implications of Complementary and Alternative Medicine (CAM) Use for Infection Prevention: Insights From the Gulf Cooperation Council (GCC) Countries.Risk management and healthcare policy · 2025Article
- The Pandemics of Mass Destruction: A Comparative Analysis of HIV/AIDS and Coronavirus (COVID-19).Journal of multidisciplinary healthcare · 2024Review
- Vaccine communication strategies among healthcare workers as a reflection of the Israeli Ministry of Health's communication strategies before and after the COVID-19 pandemic.Frontiers in public health · 2024Article
- Review
- Promoting COVID-19 vaccine confidence through public responses to misinformation: The joint influence of message source and message content.Social science & medicine (1982) · 2023Article
- Using dialogues to increase positive attitudes towards COVID-19 vaccines in a vaccine-hesitant UK population.Royal Society open science · 2022Article
- Therapeutic strategies to address monkeypox.Expert review of anti-infective therapy · 2022Article
- A call for citizen science in pandemic preparedness and response: beyond data collection.BMJ global health · 2022Review
- Counteracting conspiracy ideas as a measure of increasing propensity for COVID-19 vaccine uptake in Russian society.Journal of global health · 2022Article
- Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research.Risk management and healthcare policy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCOVID-19 misinformation is a danger to public health. A range of formats are used by health campaigns to correct beliefs but data on their effectiveness is limited. We aimed to identify A) whether three commonly used myth-busting formats are effective for correcting COVID-19 myths, immediately and after a delay, and B) which is the most effective.
methodsWe tested whether three common correction formats could reduce beliefs in COVID-19 myths: (i) question-answer, ii) fact-only, (ii) fact-myth. n = 2215 participants (n = 1291 after attrition), UK representative of age and gender, were randomly assigned to one of the three formats. n = 11 myths were acquired from fact-checker websites and piloted to ensure believability. Participants rated myth belief at baseline, were shown correction images (the intervention), and then rated myth beliefs immediately post-intervention and after a delay of at least 6 days. A partial replication, n = 2084 UK representative, was also completed with immediate myth rating only. Analysis used mixed models with participants and myths as random effects.
resultsMyth agreement ratings were significantly lower than baseline for all correction formats, both immediately and after the delay; all β's > 0.30, p's < .001. Thus, all formats were effective at lowering beliefs in COVID-19 misinformation. Correction formats only differed where baseline myth agreement was high, with question-answer and fact-myth more effective than fact-only immediately; β = 0.040, p = .022 (replication set: β = 0.053, p = .0075) and β = - 0.051, p = .0059 (replication set: β = - 0.061, p < .001), respectively. After the delay however, question-answer was more effective than fact-myth, β = 0.040, p =. 031.
conclusionOur results imply that COVID-19 myths can be effectively corrected using materials and formats typical of health campaigns. Campaign designers can use our results to choose between correction formats. When myth belief was high, question-answer format was more effective than a fact-only format immediately post-intervention, and after delay, more effective than fact-myth format.
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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.