Evidence map›Paper›PMID 32800422›Full record

ArticlePatient education and counseling2020

Quality of online information for the general public on COVID-19.

Ravindri Jayasinghe, Sonali Ranasinghe, Umesh Jayarajah, Sanjeewa Seneviratne

Abstract read
In one paragraph

Article in Patient education and counseling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Article
  3. Article
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  7. Article
  8. IVC filter - assessing the readability and quality of patient information on the Internet.Journal of vascular surgery. Venous and lymphatic disorders · 2024
    Review
  9. Article
  10. An Evaluation of the Quality of COVID-19 Internet Resources for Cancer Patients.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Article
  11. Viral Disease Goes Viral: Characterizing How Cancer Patients Use Internet Resources for COVID-19 Information.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Article
  12. Article
  13. How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Appraising and Handling COVID-19 Information: A Qualitative Study.International journal of environmental research and public health · 2021
    Article
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.

Ravindri JayasingheDepartment of Surgery, Faculty of Medicine, University of Colombo, Sri Lanka. Electronic address: ravindrijayasinghe@gmail.com.
Sonali RanasingheDepartment of Surgery, Faculty of Medicine, University of Colombo, Sri Lanka. Electronic address: ranasi.gmc@gmail.com.
Umesh JayarajahDepartment of Surgery, Faculty of Medicine, University of Colombo, Sri Lanka. Electronic address: umeshe.jaya@gmail.com.
Sanjeewa SeneviratneDepartment of Surgery, Faculty of Medicine, University of Colombo, Sri Lanka. Electronic address: sanjeewa@srg.cmb.ac.lk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyse the quality of information included in websites aimed at the public on COVID-19.

methodsYahoo!, Google and Bing search engines were browsed using selected keywords on COVID-19. The first 100 websites from each search engine for each keyword were evaluated. Validated tools were used to assess readability [Flesch Reading Ease Score (FRES)], usability and reliability (LIDA tool) and quality (DISCERN instrument). Non-parametric tests were used for statistical analyses.

resultsEighty-four eligible sites were analysed. The median FRES score was 54.2 (range: 23.2-73.5). The median LIDA usability and reliability scores were 46 (range: 18-54) and 37(range:14-51), respectively. A low (<50 %) overall LIDA score was recorded for 30.9 % (n = 26) of the websites. The median DISCERN score was 49.5 (range: 21-77). The DISCERN score of ≤50 % was found in 45 (53.6 %) websites. The DISCERN score was significantly associated with LIDA usability and reliability scores (p < 0.001) and the FRES score (p = 0.024).

conclusionThe majority of websites on COVID-19 for the public had moderate to low scores with regards to readability, usability, reliability and quality. PRACTICE IMPLICATIONS: Prompt strategies should be implemented to standardize online health information on COVID-19 during this pandemic to ensure the general public has access to good quality reliable information.

Indexed as

2019-novel coronavirusCOVID-19Education websitesGeneral publicInternetQualityQuality of informationSARS-CoV-2

Identifiers

PMID32800422
PMCPMC7411423

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.