Evidence map›Paper›PMID 36996010›Full record

ArticleJMIR medical education2023

A Web Tool to Help Counter the Spread of Misinformation and Fake News: Pre-Post Study Among Medical Students to Increase Digital Health Literacy.

Valentina Moretti, Laura Brunelli, Alessandro Conte, Giulia Valdi, Maria Renza Guelfi, Marco Masoni, Filippo Anelli, Luca Arnoldo

Abstract read
In one paragraph

Article in JMIR medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Valentina MorettiDipartimento di Area Medica, Università degli Studi di Udine, Udine, Italy.ORCID https://orcid.org/0000-0001-5589-4628
Laura BrunelliDipartimento di Area Medica, Università degli Studi di Udine, Udine, Italy.ORCID https://orcid.org/0000-0002-5475-0021
Alessandro ConteDirezione Medica del Presidio Ospedaliero di San Daniele - Tolmezzo, Azienda Sanitaria Universitaria Friuli Centrale, San Daniele del Friuli, Italy.ORCID https://orcid.org/0000-0003-2572-6556
Giulia ValdiDipartimento di Area Medica, Università degli Studi di Udine, Udine, Italy.ORCID https://orcid.org/0000-0002-9811-094X
Maria Renza GuelfiDipartimento di Medicina Sperimentale e Clinica, Università degli Studi di Firenze, Firenze, Italy.ORCID https://orcid.org/0000-0003-0073-5288
Marco MasoniDipartimento di Medicina Sperimentale e Clinica, Università degli Studi di Firenze, Firenze, Italy.ORCID https://orcid.org/0000-0001-5943-8689
Filippo AnelliFederazione Nazionale degli Ordini dei Medici Chirurghi e Odontoiatri, Roma, Italy.ORCID https://orcid.org/0009-0009-5591-3126
Luca ArnoldoDipartimento di Area Medica, Università degli Studi di Udine, Udine, Italy.ORCID https://orcid.org/0000-0002-8068-5219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic was accompanied by the spread of uncontrolled health information and fake news, which also quickly became an infodemic. Emergency communication is a challenge for public health institutions to engage the public during disease outbreaks. Health professionals need a high level of digital health literacy (DHL) to cope with difficulties; therefore, efforts should be made to address this issue starting from undergraduate medical students.

objectiveThe aim of this study was to investigate the DHL skills of Italian medical students and the effectiveness of an informatics course offered by the University of Florence (Italy). This course focuses on assessing the quality of medical information using the "dottoremaeveroche" (DMEVC) web resource offered by the Italian National Federation of Orders of Surgeons and Dentists, and on health information management.

methodsA pre-post study was conducted at the University of Florence between November and December 2020. First-year medical students participated in a web-based survey before and after attending the informatics course. The DHL level was self-assessed using the eHealth Literacy Scale for Italy (IT-eHEALS) tool and questions about the features and quality of the resources. All responses were rated on a 5-point Likert scale. Change in the perception of skills was assessed using the Wilcoxon test.

resultsA total of 341 students participated in the survey at the beginning of the informatics course (women: n=211, 61.9%; mean age 19.8, SD 2.0) and 217 of them (64.2%) completed the survey at the end of the course. At the first assessment, the DHL level was moderate, with a mean total score of the IT-eHEALS of 2.9 (SD 0.9). Students felt confident about finding health-related information on the internet (mean score of 3.4, SD 1.1), whereas they doubted the usefulness of the information they received (mean score of 2.0, SD 1.0). All scores improved significantly in the second assessment. The overall mean score of the IT-eHEALS significantly increased (P<.001) to 4.2 (SD 0.6). The item with the highest score related to recognizing the quality of health information (mean score of 4.5, SD 0.7), whereas confidence in the practical application of the information received remained the lowest (mean of 3.7, SD 1.1) despite improvement. Almost all students (94.5%) valued the DMEVC as an educational tool.

conclusionsThe DMEVC tool was effective in improving medical students' DHL skills. Effective tools and resources such as the DMEVC website should be used in public health communication to facilitate access to validated evidence and understanding of health recommendations.

Indexed as

COVID-19digital educationdigital health literacyeducationfake newshealth informationhealth literacyinfodemicmedical educationmedical studentonline learningsocial media

Identifiers

PMID36996010
PMCPMC10131978

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.