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      Reliability and Quality of Korean YouTube Videos for Education Regarding Gout

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          Abstract

          Background

          YouTube has become an increasingly popular educational tool and an important source of healthcare information. We investigated the reliability and quality of the information in Korean-language YouTube videos about gout.

          Methods

          We performed a comprehensive electronic search on April 2, 2021, using the following keywords—“gout,” “acute gout,” “gouty arthritis,” “gout treatment,” and “gout attack”—and identified 140 videos in the Korean language. Two rheumatologists then categorized the videos into three groups: “useful,” “misleading,” and “personal experience.” Reliability was determined using a five-item questionnaire modified from the DISCERN validation tool, and overall quality scores were based on the Global Quality Scale (GQS).

          Results

          Among the 140 videos identified, 105 (75.0%), 29 (20.7%), and 6 (4.3%) were categorized as “useful,” “misleading,” and “personal experience,” respectively. Most videos in the “useful” group were created by rheumatologists (70.5%). The mean DISCERN and GQS scores in the “useful” group (3.3 ± 1.0 and 3.8 ± 0.7) were higher than those in the “misleading” (0.9 ± 1.0 and 1.9 ± 0.6) and “personal experience” groups (0.8 ± 1.2 and 2.0 ± 0.8) ( P < 0.001 for both the DISCERN and GQS tools).

          Conclusion

          Approximately 75% of YouTube videos that contain educational material regarding gout were useful; however, we observed some inaccuracies in the medical information provided. Healthcare professionals should closely monitor media content and actively participate in the development of videos that provide accurate medical information.

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          Most cited references22

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          DISCERN: an instrument for judging the quality of written consumer health information on treatment choices.

          To develop a short instrument, called DISCERN, which will enable patients and information providers to judge the quality of written information about treatment choices. DISCERN will also facilitate the production of new, high quality, evidence-based consumer health information. An expert panel, representing a range of expertise in consumer health information, generated criteria from a random sample of information for three medical conditions with varying degrees of evidence: myocardial infarction, endometriosis, and chronic fatigue syndrome. A graft instrument, based on this analysis, was tested by the panel on a random sample of new material for the same three conditions. The panel re-drafted the instrument to take account of the results of the test. The DISCERN instrument was finally tested by a national sample of 15 information providers and 13 self help group members on a random sample of leaflets from 19 major national self help organisations. Participants also completed an 8 item questionnaire concerning the face and content validity of the instrument. Chance corrected agreement (weighted kappa) for the overall quality rating was kappa = 0.53 (95% CI kappa = 0.48 to kappa = 0.59) among the expert panel, kappa = 0.40 (95% CI kappa = 0.36 to kappa = 0.43) among information providers, and kappa = 0.23 (95% CI kappa = 0.19 to kappa = 0.27) among self help group members. Higher agreement levels were associated with experience of using the instrument and with professional knowledge of consumer health information. Levels of agreement varied across individual items on the instrument, reflecting the need for subjectivity in rating certain criteria. The trends in levels of agreement were similar among all groups. The final instrument consisted of 15 questions plus an overall quality rating. Responses to the questionnaire after the final testing revealed the instrument to have good face and content validity and to be generally applicable. DISCERN is a reliable and valid instrument for judging the quality of written consumer health information. While some subjectivity is required for rating certain criteria, the findings demonstrate that the instrument can be applied by experienced users and providers of health information to discriminate between publications of high and low quality. The instrument will also be of benefit to patients, though its use will be improved by training.
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            Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors

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              Prevalence of Hyperuricemia and Gout in Mainland China from 2000 to 2014: A Systematic Review and Meta-Analysis

              We systematically identified the prevalence of hyperuricemia and gout in mainland China and provided informative data that can be used to create appropriate local public health policies. Relevant articles from 2000 to 2014 were identified by searching 5 electronic databases: PubMed, Google Scholar, Chinese Wanfang, CNKI, and Chongqing VIP. All of the calculations were performed using the Stata 11.0 and SPSS 20.0 software. The eligible articles (n = 36; 3 in English and 33 in Chinese) included 44 studies (38 regarding hyperuricemia and 6 regarding gout). The pooled prevalence of hyperuricemia and gout was 13.3% (95% CI: 11.9%, 14.6%) and 1.1% (95% CI: 0.7%, 1.5%), respectively. Although publication bias was observed, the results did not change after a trim and fill test, indicating that that impact of this bias was likely insignificant. The prevalence of hyperuricemia and gout was high in mainland China. The subgroup analysis suggested that the geographical region, whether the residents dwell in urban or rural and coastal or inland areas, the economic level, and sex may be associated with prevalence.
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                Author and article information

                Journal
                J Korean Med Sci
                J Korean Med Sci
                JKMS
                Journal of Korean Medical Science
                The Korean Academy of Medical Sciences
                1011-8934
                1598-6357
                28 October 2021
                22 November 2021
                : 36
                : 45
                : e303
                Affiliations
                [1 ]Department of Internal Medicine, Inje University Seoul Paik Hospital, Inje University College of Medicine, Seoul, Korea.
                [2 ]Division of Rheumatology, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea.
                [3 ]Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.
                Author notes
                Address for correspondence: Jae-Bum Jun, MD, PhD. Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, 222-1 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. junjb@ 123456hanyang.ac.kr

                *Bon San Koo and Dam Kim contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-4212-2634
                https://orcid.org/0000-0002-3689-1226
                https://orcid.org/0000-0002-0208-0505
                Article
                10.3346/jkms.2021.36.e303
                8608924
                34811977
                8e0d52c9-bad5-4a39-b7a4-076ea9224456
                © 2021 The Korean Academy of Medical Sciences.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 August 2021
                : 07 October 2021
                Categories
                Original Article
                Humanities & Forensic Medicine

                Medicine
                education,gout,patients,rheumatologists
                Medicine
                education, gout, patients, rheumatologists

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