Evidence map›Paper›PMID 36707998›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation.

Katarzyna Czerniak, Raji Pillai, Abhi Parmar, Kavita Ramnath, Joseph Krocker, Sahiti Myneni

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Large language models and generative AI in telehealth: a responsible use lens.Journal of the American Medical Informatics Association : JAMIA · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Global Health Informatics: the state of research and lessons learned.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  12. 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

6 authors.

Katarzyna CzerniakDepartment of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Raji PillaiCizik School of Nursing, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Abhi ParmarSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Kavita RamnathSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Joseph KrockerDepartment of Surgery, McGovern Medical School, Center for Translational Injury Research, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Sahiti MyneniSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.

Funding

ROLE OF THE GUT IN POST INJURY MULTIPLE ORGAN FAILURET32GM008792 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Charles S Cox · 2001 to 2026
$5.2M
Pragmatics to Reveal Intention in Social Media (PRISM) for Health PromotionR01LM012974 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MYNENI, SAHITI · 2019 to 2022
$1.5M
NIGMS NIH HHS T32 GM008792NLM NIH HHS R01 LM012974
6 · The paper itself

Abstract

objectiveWe provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding and spread. MATERIALS AND

methodsWe applied our search protocol to PubMed, PsychINFO, and Web of Science to screen 1666 articles. The 17 articles included in this paper are experimental and interventional studies that developed and tested public consumer-facing DHIs. We examined these DHIs to understand digital features, incorporation of theory, the role of healthcare professionals, end-user experience, and implementation issues.

resultsThe majority of studies (n = 11) used social media in DHIs, but there was a lack of platform-agnostic generalizability. Only half of the studies (n = 9) specified a theory, framework, or model to guide DHIs. Nine studies involve healthcare professionals as design or implementation contributors. Only one DHI was evaluated for user perceptions and acceptance. DISCUSSION: The translation of advances in online social computing to interventions is sparse. The limited application of behavioral theory and cognitive models of reasoning has resulted in suboptimal targeting of psychosocial variables and individual factors that may drive resistance to misinformation. This affects large-scale implementation and community outreach efforts. DHIs optimized through community-engaged participatory methods that enable understanding of unique needs of vulnerable communities are urgently needed.

conclusionsWe recommend community engagement and theory-guided engineering of equitable DHIs. It is important to consider the problem of misinformation and disinformation through a multilevel lens that illuminates personal, clinical, cultural, and social pathways to mitigate the negative consequences of misinformation and disinformation on human health and wellness.

Indexed as

COVID-19Social MediaTelemedicineCommunicationDisinformationHumansCOVID-19disinformationmisinformationtechnology

Identifiers

PMID36707998
PMCPMC10018269

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.