Evidence map›Paper›PMID 36632071›Full record

ArticlePatient preference and adherence2023

Assessing the Validity of Health Messages Used by the Saudi Public in WhatsApp.

Eiad Alfaris, Yasser Alhazzani, Abdullah Alkhenizan, Farhana Irfan, Naif Almoneef, Nada Alyousefi, Huda Alfaris, Khitam Alodhaibi, Abdullah M A Ahmed

Abstract read
In one paragraph

Article in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

9 authors.

Eiad AlfarisDepartment of Family and Community Medicine, College of Medicine, King Saud University Chair for Medical Education Research and Development, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-1929-0576
Yasser AlhazzaniDepartment of Family and Community Medicine, College of Medicine, King Saud University Chair for Medical Education Research and Development, King Saud University, Riyadh, Saudi Arabia.
Abdullah AlkhenizanKing Faisal Specialist Hospital and Research Center, Family Medicine and Polyclinics, Riyadh, Saudi Arabia.
Farhana IrfanDepartment of Family and Community Medicine, College of Medicine, King Saud University Chair for Medical Education Research and Development, King Saud University, Riyadh, Saudi Arabia.
Naif AlmoneefKing Faisal Specialist Hospital and Research Center, Family Medicine and Polyclinics, Riyadh, Saudi Arabia.
Nada AlyousefiDepartment of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-9142-425X
Huda AlfarisPrince Sultan Military Medical City, Department of Internal Medicine, Riyadh, Saudi Arabia.
Khitam AlodhaibiKing Faisal Specialist Hospital and Research Center, Family Medicine and Polyclinics, Riyadh, Saudi Arabia.ORCID 0000-0002-4630-9578
Abdullah M A AhmedDepartment of Family and Community Medicine, College of Medicine, King Saud University Chair for Medical Education Research and Development, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-0266-7215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: WhatsApp is the most frequently used social media platform in Saudi Arabia. Inaccurate information could negatively impact public health. The number of studies worldwide investigating health-related misinformation in social media increased steadily, with limited data from Arabic-speaking communities. This study aimed to estimate the validity and safety of Arabic-language health information messages circulated on WhatsApp and identify the different categories of these messages based on their credibility. Participants and Methods: A descriptive, analytical cross-sectional study was conducted from February to April 2021. A total of 374 students were randomly selected from the common first preparatory year college at King Saud University in Riyadh, Saudi Arabia, and participated by sharing up to three health-related WhatsApp messages per student that they or their relatives had recently read. Four board-certified physicians reviewed and classified the messages based on their credibility and sources. Results: 282 students provided 326 messages (1.2 messages per student). Most messages (86%) had either invalid or inaccurate content, and 83.7% came from unknown sources. Only 26 messages (8%) of the total were written by trusted scientific sources. Most of the messages from unknown sources or unqualified persons were either invalid or invalid, with potential health risks for the public, and the difference from trusted sources was statistically significant. Conclusion: This study showed a high percentage of inaccurate and invalid health-related messages on WhatsApp. Invalid messages with potential health risks were authored mostly by unknown sources or unqualified persons. Most health messages written by trusted authorities and qualified persons were valid. Trusted scientific authorities should thus be more active in public education on social media platforms. They should advise their communities on how to discern the validity of such messages. More efforts are needed to guide patients from where to obtain accurate and valid health information.

Indexed as

health informationSaudi Arabiasocial mediaWhatsApp

Identifiers

PMID36632071
PMCPMC9829413

What OpenQuestion holds

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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.