Evidence map›Paper›PMID 35637514›Full record

ArticleSystematic reviews2022

Interventions to mitigate COVID-19 misinformation: protocol for a scoping review.

Navin Kumar, Nathan Walter, Kate Nyhan, Kaveh Khoshnood, Joseph D Tucker, Chris T Bauch, Qinglan Ding, S Mo Jones-Jang, Munmun De Choudhury, Jason L Schwartz and 2 more

Abstract read
In one paragraph

Article in Systematic reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Health Information Disorders Models: A Scoping Review.Iranian journal of nursing and midwifery research
    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

12 authors.

Navin KumarDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA. navin.kumar@yale.edu.ORCID 0000-0003-4502-069X
Nathan WalterNorthwestern University, Evanston, IL, USA.
Kate NyhanHarvey Cushing/John Hay Whitney Medical Library, Yale University, 333 Cedar Street, New Haven, CT, 06520-8014, USA.
Kaveh KhoshnoodDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Joseph D TuckerUniversity of North Carolina at Chapel Hill Project-China, No. 2 Lujing Road, Guangzhou, 510095, China.
Chris T BauchDepartment of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada.
Qinglan DingCollege of Health and Human Sciences, Purdue University, West Lafayette, IN, USA.
S Mo Jones-JangDepartment of Communications, Boston College, Boston, MA, USA.
Munmun De ChoudhurySchool of Interactive Computing, Georgia Tech, Atlanta, GA, USA.
Jason L SchwartzDepartment of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.
Orestis PapakyriakopoulosCenter for Information Technology Policy, Princeton University, Princeton, NJ, USA.
Laura ForastiereDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe duration and impact of the COVID-19 pandemic depends in a large part on individual and societal actions which is influenced by the quality and salience of the information to which they are exposed. Unfortunately, COVID-19 misinformation has proliferated. To date, no systematic efforts have been made to evaluate interventions that mitigate COVID-19-related misinformation. We plan to conduct a scoping review that seeks to fill several of the gaps in the current knowledge of interventions that mitigate COVID-19-related misinformation.

methodsA scoping review focusing on interventions that mitigate COVID-19 misinformation will be conducted. We will search (from January 2020 onwards) MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science Core Collection, Africa-Wide Information, Global Health, WHO Global Literature on Coronavirus Disease Database, WHO Global Index Medicus, and Sociological Abstracts. Gray literature will be identified using Disaster Lit, Google Scholar, Open Science Framework, governmental websites, and preprint servers (e.g., EuropePMC, PsyArXiv, MedRxiv, JMIR Preprints). Study selection will conform to Joanna Briggs Institute Reviewers' Manual 2020 Methodology for JBI Scoping Reviews. Only English language, original studies will be considered for inclusion. Two reviewers will independently screen all citations, full-text articles, and abstract data. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g., frequencies) and qualitative (e.g., content and thematic analysis) methods. DISCUSSION: Original research is urgently needed to design interventions to mitigate COVID-19 misinformation. The planned scoping review will help to address this gap. SYSTEMATIC REVIEW REGISTRATIONS: Systematic Review Registration: Open Science Framework (osf/io/etw9d).

Indexed as

COVID-19CommunicationGlobal HealthHumansPandemicsPublicationsScoping Reviews as TopicCOVID-19HealthMisinformationMitigateOnline

Identifiers

PMID35637514
PMCPMC9148843

What OpenQuestion holds

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LicenceCC BY
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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.