Evidence map›Paper›PMID 28720555›Full record

ArticleJournal of medical Internet research2017

Readability of Wikipedia Pages on Autoimmune Disorders: Systematic Quantitative Assessment.

Abdulla Watad, Nicola Luigi Bragazzi, Francesco Brigo, Kassem Sharif, Howard Amital, Dennis McGonagle, Yehuda Shoenfeld, Mohammad Adawi

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Abdulla WatadDepartment of Medicine B, Sheba Medical Centre, Tel Aviv, Israel.ORCID 0000-0002-1404-8027
Nicola Luigi BragazziDepartment of Health Sciences, University of Genoa, Genoa, Italy.ORCID 0000-0001-8409-868X
Francesco BrigoDepartment of Neuroscience, University of Verona, Verona, Italy.ORCID 0000-0003-0928-1577
Kassem SharifDepartment of Medicine B, Sheba Medical Centre, Tel Aviv, Israel.ORCID 0000-0003-3905-3313
Howard AmitalDepartment of Medicine B, Sheba Medical Centre, Tel Aviv, Israel.ORCID 0000-0002-5406-7716
Dennis McGonagleLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-7428-0146
Yehuda ShoenfeldSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-2802-4090
Mohammad AdawiBar-Ilan Faculty of Medicine, Padeh and Ziv Hospitals, Zefat, Israel.ORCID 0000-0002-2738-8784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the era of new information and communication technologies, the Internet is being increasingly accessed for health-related information. Indeed, recently published patient surveys of people with autoimmune disorders confirmed that the Internet was reported as one of the most important health information sources. Wikipedia, a free online encyclopedia launched in 2001, is generally one of the most visited websites worldwide and is often consulted for health-related information.

objectiveThe main objective of this investigation was to quantitatively assess whether the Wikipedia pages related to autoimmune disorders can be easily accessed by patients and their families, in terms of readability.

methodsWe obtained and downloaded a list of autoimmune disorders from the American Autoimmune Related Diseases Association (AARDA) website. We analyzed Wikipedia articles for their overall level of readability with 6 different quantitative readability scales: (1) the Flesch Reading Ease, (2) the Gunning Fog Index, (3) the Coleman-Liau Index, (4) the Flesch-Kincaid Grade Level, (5) the Automated Readability Index (ARI), and (6) the Simple Measure of Gobbledygook (SMOG). Further, we investigated the correlation between readability and clinical, pathological, and epidemiological parameters. Moreover, each Wikipedia analysis was assessed according to its content, breaking down the readability indices by main topic of each part (namely, pathogenesis, treatment, diagnosis, and prognosis plus a section containing paragraphs not falling into any of the previous categories).

resultsWe retrieved 134 diseases from the AARDA website. The Flesch Reading Ease yielded a mean score of 24.34 (SD 10.73), indicating that the sites were very difficult to read and best understood by university graduates, while mean Gunning Fog Index and ARI scores were 16.87 (SD 2.03) and 14.06 (SD 2.12), respectively. The Coleman-Liau Index and the Flesch-Kincaid Grade Level yielded mean scores of 14.48 (SD 1.57) and 14.86 (1.95), respectively, while the mean SMOG score was 15.38 (SD 1.37). All the readability indices confirmed that the sites were suitable for a university graduate reading level. We found no correlation between readability and clinical, pathological, and epidemiological parameters. Differences among the different sections of the Wikipedia pages were statistically significant.

conclusionsWikipedia pages related to autoimmune disorders are characterized by a low level of readability. The onus is, therefore, on physicians and health authorities to improve the health literacy skills of patients and their families and to create, together with patients themselves, disease-specific readable sites, disseminating highly accessible health-related online information, in terms of both clarity and conciseness.

Indexed as

ReadingAdolescentAdultAutoimmune DiseasesChildChild, PreschoolHealth LiteracyHumansInfantInfant, NewbornInternetMiddle AgedQualitative ResearchTelemedicineYoung Adultautoimmune diseaseseHealthreadabilitytelemedicineWikipedia

Identifiers

PMID28720555
PMCPMC5539385

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.