Evidence map›Paper›PMID 33461516›Full record

ArticleBMC public health2021

Quality and readability of web-based Arabic health information on COVID-19: an infodemiological study.

Esam Halboub, Mohammed Sultan Al-Ak'hali, Hesham M Al-Mekhlafi, Mohammed Nasser Alhajj

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

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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

4 authors.

Esam HalboubDepartment of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jazan University, Jazan, Kingdom of Saudi Arabia.
Mohammed Sultan Al-Ak'haliDepartment of Preventive Dental Sciences, College of Dentistry, Jazan University, Jazan, Kingdom of Saudi Arabia.
Hesham M Al-MekhlafiMedical Research Center, Jazan University, Jazan, Kingdom of Saudi Arabia.
Mohammed Nasser AlhajjDepartment of Prosthodontics, Faculty of Dentistry, Thamar University, Dhamar, Yemen. m.n.alhajj@hotmail.com.ORCID 0000-0003-4477-3024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study sought to assess the quality and readability of web-based Arabic health information on COVID-19.

methodsThree search engines were searched on 13 April 2020 for specific Arabic terms on COVID-19. The first 100 consecutive websites from each engine were analyzed for eligibility, which resulted in a sample of 36 websites. These websites were subjected to quality assessments using the Journal of the American Medical Association (JAMA) benchmarks tool, the DISCERN tool, and Health on the Net Foundation Code of Conduct (HONcode) certification. The readability of the websites was assessed using an online readability calculator.

resultsAmong the 36 eligible websites, only one (2.7%) was HONcode certified. No website attained a high score based on the criteria of the DISCERN tool; the mean score of all websites was 31.5 ± 12.55. As regards the JAMA benchmarks results, a mean score of 2.08 ± 1.05 was achieved by the websites; however, only four (11.1%) met all the JAMA criteria. The average grade levels for readability were 7.2 ± 7.5, 3.3 ± 0.6 and 93.5 ± 19.4 for the Flesch Kincaid Grade Level, Simple Measure of Gobbledygook, and Flesch Reading Ease scales, respectively.

conclusionAlmost all of the most easily accessible web-based Arabic health information on COVID-19 does not meet recognized quality standards regardless of the level of readability and ability to be understood by the general population of Arabic speakers.

Indexed as

COVID-19InternetLanguageArabsComprehensionConsumer Health InformationHumansCOVID-19Health informationInfodemiologyMisinformationPublic healthQuality

Identifiers

PMID33461516
PMCPMC7812558

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.