Cited by 80Misinformation and Its ImpactsPharmacovigilance and Adverse Drug ReactionsPharmaceutical industry and healthcare

The impact of the COVID-19 “Infodemic” on drug-utilization behaviors: implications for Pharmacovigilance

Open access
Tuccori, Marco, Convertino, Irma, Ferraro, Sara, Cappello, Emiliano, Valdiserra, Giulia, Focosi, Daniele, Blandizzi, Corrado·2020·Drug Safety

Abstract

The coronavirus disease 2019 (COVID-19) pandemic that hit the world in 2020 triggered a massive dissemination of information (an "infodemic") about the disease that was channeled through the print, broadcast, web, and social media. This infodemic also included sensational and distorted information about drugs that likely first influenced opinion leaders and people particularly active on social media and then other people, thus affecting choices by individual patients everywhere. In particular, information has spread about some drugs approved for other indications (chloroquine, hydroxychloroquine, nonsteroidal anti-inflammatory drugs, angiotensin-converting enzyme inhibitors, angiotensin II receptor antagonists, favipiravir, and umifenovir) that could have led to inappropriate and therefore hazardous use. In this article, we analyze the rationale behind the claims for use of these drugs in COVID-19, the communication about their effects on the disease, the consequences of this communication on people's behavior, and the responses of some influential regulatory authorities in an attempt to minimize the actual or potential risks arising from this behavior. Finally, we discuss the role of pharmacovigilance stakeholders in emergency management and possible strategies to deal with other similar crises in the future.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s40264-020-00965-w

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The consequence of infodemic on the scientific framework is considerable, with implications on possible healthcare choices, already a determining factor in the recent pandemic.

    “The consequence on the scientific framework is considerable, even with implications on possible healthcare choices, already a determining factor in the recent pandemic. (58)”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

5 retracted

Flagged first, then by citations

Research works printed but not linked: 4

  1. [23]Mehra MR, Desai SS, Ruschitzka F, Patel AN. Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis. Lancet (London, England) [Internet]. Elsevier Ltd; 2020;6736:31324. http://www.ncbi.nlm.nih.gov/pubmed/32450107. PMC7255293 32450107
  2. [31]Cuppini L. Aifa: Clorochina non approvata per prevenire infezione da Sars-CoV-2 [Internet]. Corr. della Sera. [cited 2020 Apr 28]. https://www.corriere.it/salute/malattie_infettive/20_aprile_01/aifa-clorochina-non-approvata-prevenire-infezione-sars-cov-2-53179152-7370-11ea-bc49-338bb9c7b205.shtml.
  3. [61]European Medicines Agency. EMA gives advice on the use of non-steroidal anti-inflammatories for COVID-19 | European Medicines Agency. Eur Med Agency [Internet]. 2020;31:18–9. https://www.ema.europa.eu/en/news/ema-gives-advice-use-non-steroidal-anti-inflammatories-covid-19.
  4. [72][no author listed]. La bufala del farmaco Arbidol [Internet]. Corr. della Sera. 2020 [cited 2020 Apr 27]. https://video.corriere.it/bufala-farmaco-arbidol/277e5b16-6c3b-11ea-8403-94d97cb6fb9f.

Cited by

Sorted by citations

Authors
Tuccori, M., Convertino, I., Ferraro, S., Cappello, E., Valdiserra, G., Focosi, D., & Blandizzi, C.
Affiliations
University of Pisa (IT)
Corresponding author
Tuccori, Marco
Venue
Drug Safety
Published
2020-06-22
Volume
43
Issue
8
Pages
699-709
ISSN
  • 0114-5916 (ISSN-L)
  • 1179-1942
OpenAlex
W3036835209
Cited by
80
References
56
Citations by year
2026: 3 · 2025: 3 · 2024: 9 · 2023: 8 · 2022: 28 · 2021: 25 · 2020: 4
FWCI
21.72
Type
journal article
Language
en
Open access
Locations
  • Drug Safety (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmaceutical industry and healthcare
Keywords
COVID-19 pandemic, infodemic, pharmacovigilance, off-label drug use, chloroquine, hydroxychloroquine, favipiravir, umifenovir, ACE inhibitors, angiotensin receptor blockers, nonsteroidal anti-inflammatory drugs, misinformation, social media, regulatory response, emergency management, crisis communication
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Drug Treatment, Attitude to Health, Drug Utilization, Humans, Pneumonia, Viral, Public Health, Social Medicine, Coronavirus Infections, Information Dissemination, Medication Therapy Management, Pandemics, Pharmacovigilance, Social Media

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review