Literature DB >> 33646342

YouTube as a source of information on gout: a quality analysis.

Mustafa Erkut Onder1, Orhan Zengin2.   

Abstract

YouTube is a popular video-sharing platform commonly visited by patients and healthcare professionals for medical information. Gout is the most frequent cause of inflammatory arthritis in adults. However, the accuracy and quality of gout-related information on YouTube are not fully known. Thus, the aim of this study was to assess the reliability and quality of YouTube videos pertaining to gout. A YouTube search was conducted using the keywords "gout", "gout arthritis", "gout treatment", and "gout diet". Of the 240 videos screened, 114 that met the inclusion criteria were included in the study. The number of days since upload, number of views, likes, dislikes, comments and duration of the videos were recorded. A Modified DISCERN tool and the Global Quality Scale (GQS) were used to evaluate the reliability and quality of the videos. Of the 114 analyzed videos, 87.72% were deemed as useful while 12.28% contained misleading information with higher viewership. The most common topic was "gout diet". The majority of the videos demonstrated high quality (57.89%), followed by intermediate quality (28.95%) while the percentage of low-quality videos was 13.16%. Videos posted by academic institutions/professional organizations and physicians had higher modified DISCERN and GQS scores indicating higher reliability and quality. This study demonstrated that the majority of YouTube videos on gout provide useful information. However, physicians should be aware of the limited nature of YouTube and correct any misinformation during face-to-face meetings. YouTube should consider avoiding misleading videos using validity scales such as modified DISCERN and GQS.

Entities:  

Keywords:  Gout; Internet; Quality; Social media; YouTube

Mesh:

Year:  2021        PMID: 33646342      PMCID: PMC7917371          DOI: 10.1007/s00296-021-04813-7

Source DB:  PubMed          Journal:  Rheumatol Int        ISSN: 0172-8172            Impact factor:   2.631


Introduction

In recent years, the internet has become a popular source of health information [1]. Previous studies demonstrated that 80% of internet users access health information online [2], with YouTube being the most common video-sharing platform and the second most popular website worldwide after Google Search [3]. More than 500 h of content are uploaded to YouTube every minute, and people watch over a billion hours of video and generate billions of views every day [4]. As a video-sharing platform, YouTube has gone beyond normal text-based information and become a potential source for spreading information in the field of health [5]. On the other hand, 86% of health seekers are concerned about the reliability of information available on the internet, and 44% believe only part of this information to be accurate [6]. Since YouTube has no procedure for filtering videos before posting, viewers can also be exposed to misinformation [7]. Many recent YouTube studies have drawn attention to the importance of tackling misleading information on rheumatic diseases [5, 8, 9]. Gout, described as "the king of diseases and the disease of kings", is one of the oldest diseases which was first recognized by the Egyptians in 2640 BCE [10]. The disease is the most frequent cause of inflammatory arthritis that affects approximately 4% of adults in the USA [11, 12]. It occurs due to the accumulation of monosodium urate crystals in joints or soft tissues [13]. Clinical disease arises as a consequence of the inflammatory reaction of tissues to these deposited crystals [11]. Gout is the only chronic arthritis potentially curable with the long-term use of appropriate medications [14]. The European League Against Rheumatism (EULAR) and American College of Rheumatology (ACR) guidelines for the management of gout recommend lifestyle modifications such as diet, weight loss, and exercises alongside pharmacologic treatment [15, 16]. However, this condition is frequently poorly managed in the majority of patients [14]. Gout is increasingly being considered as a serious disease that causes functional disability, work productivity impairment, and economic loss [17]. Decisions made by three quarters of patients on how to treat their condition are reported to be affected by information provided by online searches [2]. YouTube is one of the most prevalent sources of online health information [18]. However, there are concerns about the reliability and quality of online health information [7]. To our knowledge, there is no study that evaluated the content, reliability, and quality of gout-related videos posted on YouTube. Hence, this study was performed to investigate the content, reliability and quality of health information pertaining to gout on YouTube.

Materials and methods

YouTube (http://www.youtube.com) was searched using the keywords “gout”, “gout arthritis”, “gout treatment”, and “gout diet” on December 1, 2020. As most viewers do, the default YouTube “relevance” filter applied for the search. It has been shown that most people do not look beyond the first three pages of search results [5, 19]. While YouTube used to post 20 videos on each page, it now presents search results in a continuous list. Therefore, we sampled the top 60 videos for each search term. All selected videos were added to the YouTube library database for further analysis. Only videos presented in the English language were included in the study considering that it is assumed to be a universal language by many countries worldwide [18]. Duplicate videos, irrelevant videos, music videos, and videos without audio were excluded. Of the total 240 videos screened, 114 met the inclusion criteria and analyzed blindly by two rheumatologists (M.E.O. and O.Z.). Any discrepancy between the authors was resolved by reassessment and consensus. The title of the video, upload date, duration, and number of views, views per day, likes, dislikes and comments were extracted by the authors. The video sources were classified into five categories as academic institutions/professional organizations, physicians, healthcare professionals other than physicians (e.g., dietitians, nurses, and physical therapists), health information websites, and independent users. The videos were also grouped according to the target audience as patients, healthcare professionals, and unspecified.

Evaluation of usefulness

The videos meeting the inclusion criteria were evaluated in terms of usefulness and categorized as useful and misleading. In accordance with previous studies [7, 20, 21], the videos were considered as useful if they included scientifically accurate information about any aspect of the disease (e.g., symptoms, clinical features, diagnosis, treatment, and prevention) or misleading if they included at least one scientifically unproven information.

Evaluation of reliability and quality

Video reliability was evaluated using a modified five-point DISCERN tool, which has been previously used in several studies [8, 9, 22]. This questionnaire was adapted by Singh et al. from the original DISCERN tool [5]. Each question is answered as ‘yes’ or ‘no’, scored as 1 point and 0 point, respectively. Higher scores represent greater reliability. Overall video quality was assessed using the five-point Global Quality Scale (GQS), which was also used in numerous YouTube studies previously [1, 8, 9]. Higher scores indicate better video quality.

Ethical statement

Publicly available YouTube videos were analyzed, and no human participants or animals were recruited for the study; therefore, ethical approval was not required, similar to other similar YouTube studies [22-24].

Statistical analysis

The Shapiro–Wilk test was performed to assess the normality of data. The inter-observer agreement was assessed with Cohen’s kappa coefficient. Non-normally distributed continuous variables were expressed as median (minimum–maximum) values. Categorical variables were presented as number or percentages. Pairwise comparisons were performed between the ‘useful’ and ‘misleading’ videos using the Mann–Whitney U test. The reliability and quality scores according to video sources were compared using the Kruskal–Wallis test. In cases where a significant difference was found in the Kruskal–Wallis test, pairwise comparisons were evaluated using the Mann–Whitney U test with Bonferroni correction that automatically adjusted by SPSS version 22. A p value of less than 0.05 was considered as statistically significant. Statistical tests were performed using SPSS v. 22.0 for Windows (IBM SPSS Statistics for Windows; Armonk, NY: IBM Corp).

Results

Of the total 240 videos screened, 95 duplicates, 13 videos presented in a language other than English, nine irrelevant videos, eight music videos, and one video with no audio were excluded from the study, and as a result 114 videos were identified for further analysis (Fig. 1). Cohen’s kappa statistic demonstrating inter-observer agreement was 0.925 [95% confidence interval (CI): 0.883–1.000]. The median duration of the videos was 4.31 (range, 0.31–97.15) minutes. The median number of views was 17,353.50 (range 40–3,114,612) and the median number of views per day was 24.86 (0.09–2974). The median number of days since upload was 916.50 (range 28–4429). The baseline features of the videos are encapsulated in Table 1.
Fig. 1

Flowchart showing the selection of YouTube videos on gout

Table 1

Baseline features of the analyzed videos

VariablesVideos (n = 114)
Number of days on YouTube916.50 (28–4429)
Number of views17,353.50 (40–3,114,612)
Number of views per day24.86 (0.09–2974)
Number of likes183.00 (0–26,000)
Number of dislikes12.00 (0–1900)
Number of comments23 (0–1205)
Duration (minute)4.31 (0.31–97.15)
DISCERN3.00 (1–5)
GQS4.00 (1–5)

Data presented as median (minimum–maximum) values

DISCERN modified DISCERN score, GQS Global Quality Scale score

Flowchart showing the selection of YouTube videos on gout Baseline features of the analyzed videos Data presented as median (minimum–maximum) values DISCERN modified DISCERN score, GQS Global Quality Scale score

Video content and presenters

Of the total 114 videos, 32 (28.07%) contained information on “gout diet”, followed by 24 (21.05%) on “gout treatment,” and 24 (21.05%) on “acute gout attack and gout arthritis”. Other videos comprised an overview of gout (14.04%), its pathophysiology (4.39%), associated comorbidities (7.02%), and gout surgery (4.39%). The content of the analyzed videos is demonstrated in Table 2.
Table 2

Video contents

1. An overview of gout16 (14.04%)
2. Pathophysiology of gout5 (4.39%)
3. Acute gout attack and gout arthritis24 (21.05%)
4. Gout treatment24 (21.05%)
5. Gout diet32 (28.07%)
6. Associated comorbidities8 (7.02%)
7. Gout surgery-removal of gout crystals5 (4.39%)

Categorical variables given as numbers (n) and percentages (%)

More than one topic may be mentioned in a single video

Video contents Categorical variables given as numbers (n) and percentages (%) More than one topic may be mentioned in a single video Among the 114 videos analyzed, the majority of the main presenters were rheumatologists (n = 26, 22.8%), followed by orthopedists (n = 15, 10.5%) and podiatrists (n = 9, 7.9%). Other physicians who contributed to the videos included family medicine physicians, general practitioners, biochemists, pharmacologists, internists, immunologists, physiatrists, and sports medicine physicians. Among non-physician healthcare professionals were dieticians, nutritionists, nurses, and physical therapists.

Video usefulness

Of the analyzed videos, 87.72% (100/114) provided useful and 12.28% (14/114) contained misleading information. Independent user-created videos displayed the highest percentage of misleading information at 57.14% (4/7), whereas all the videos created by the academic institutions/professional organizations were useful. There was no significant difference in the mean number of likes and comments and video length between the useful and misleading videos. The mean number of views and number of views per day were significantly higher in misleading videos than useful ones (p = 0.032 and p = 0.049, respectively). The mean number of dislikes was significantly higher in misleading videos (p = 0.038). The useful videos had higher scores for reliability and quality obtained by modified DISCERN (3.0, range 1.0–5.0 vs 2.0, range 1.0–4.0) and GQS (4.0, range 1.0–5.0 vs 2.0, range 1.0–4.0) compared to the misleading videos, and this was statistically significant (p < 0.001 for both). The detailed characteristics of the YouTube videos according to their usefulness are presented in Table 3.
Table 3

Detailed characteristics of YouTube videos according to their usefulness

UsefulMisleadingp
100 (87.72%)14 (12.28%)
Variables
 Number of views15,555 (40–3,114,612)67,134 (4689–180,654)0.032*
 Number of views per day23.43 (0.09–2974)41.40 (9.82–241.48)0.049*
 Number of likes148 (0–26,000)328 (37–2400)0.161
 Number of dislikes11 (0–1900)33.5 (2–341)0.038*
 Number of comments18.5 (0–1205)68.5 (4–574)0.057
 Duration (minutes)4.34 (0.31–97.15)3.09 (1.3–13.15)0.163
Reliability and quality scores
 Median (min–max)
  DISCERN3.0 (1.0–5.0)2.0 (1.0–4.0)< 0.001*
  GQS4.0 (1.0–5.0)2.0 (1.0–4.0)< 0.001*
 Target audience
  Patients68 (83.95%)13 (16.05%)N/A
  Healthcare professionals25 (96.15%)1 (3.85%)N/A
  Unspecified7 (100%)0 (0%)N/A
 Source, n (%)
  Academic institutions/professional organizations20 (100%)0 (0%)N/A
  Physicians40 (95.24%)2 (4.76%)N/A
  Health information websites30 (85.71%)5 (14.29%)N/A
  Healthcare professionals other than physicians7 (70%)3 (30%)N/A
  Independent users3 (42.86%)4 (57.14%)N/A

Data presented as n (%) or median (minimum–maximum)

Comparisons between the ‘useful’ and ‘misleading’ videos were performed using the Mann–Whitney U test

DISCERN modified DISCERN score, GQS Global Quality Scale score, N/A not applicable

*Values of p < 0.05 were accepted as significant and marked bold

Detailed characteristics of YouTube videos according to their usefulness Data presented as n (%) or median (minimum–maximum) Comparisons between the ‘useful’ and ‘misleading’ videos were performed using the Mann–Whitney U test DISCERN modified DISCERN score, GQS Global Quality Scale score, N/A not applicable *Values of p < 0.05 were accepted as significant and marked bold

Targeted audience and video source

The most targeted audience of all videos was patients (n = 81, 71.05%), followed by healthcare professionals (n = 26, 22.81). Although the percentage of useful videos targeting patients was 83.95%, this rate was higher for videos targeting healthcare professionals (96.15%). The majority of the videos on YouTube had been posted by physicians (n = 42, 36.84%), followed by health information websites (n = 35, 30.70%), academic institutions/professional organizations (n = 20, 17.54%), healthcare professionals other than physicians (n = 10, 8.77%), and independent users (n = 7, (6.14%), respectively.

Reliability and quality of the videos

The videos uploaded by academic institutions/professional organizations had higher modified DISCERN and GQS scores than those from all the remaining video sources, and the difference was statistically significant (p < 0.001 for both), except in the comparison between academic institutions/professional organizations and physicians. The mean modified DISCERN scores posted by academic institutions/professional organizations were significantly higher than those provided by healthcare professionals other than physicians, health information websites, and independent users (p < 0.001, p = 0.031, and p = 0.001, respectively). The mean GQS scores of the videos created by academic institutions/professional organizations were significantly higher than those posted by healthcare professionals other than physicians, health information websites, and independent users (p < 0.001, p = 0.004, and p < 0.001, respectively). The comparison of the reliability and quality scores according to video sources is presented in Table 4.
Table 4

Comparison of the reliability and quality scores according to video sources

Reliability and quality scoresAcademic institutions/professional organizationsPhysiciansHealthcare professionals other than physiciansHealth information websitesIndependent usersp
20 (17.54%)42 (36.84%)10 (8.77%)35 (30.70%)7 (6.14%)
DISCERN5.0 (5.0–5.0)4.0 (1.0–5.0)3.0 (1.0–4.0)3.0 (1.0–5.0)2.0 (1.0–2.0) < 0.001*
GQS5.0 (4.0–5.0)4.0 (2.0–5.0)3.0 (1.0–4.0)3.0(1.0–4.0)2.0 (1.0–2.0) < 0.001*

DISCERN modified DISCERN score, GQS Global Quality Scale score

*p < 0.05 was accepted as significant (Kruskal–Wallis test) and marked bold

Comparison of the reliability and quality scores according to video sources DISCERN modified DISCERN score, GQS Global Quality Scale score *p < 0.05 was accepted as significant (Kruskal–Wallis test) and marked bold GQS was evaluated in three categories, with scores of 1–2 indicating low quality, 3 intermediate quality and 4–5 high quality [22]. The majority of the videos demonstrated high quality (57.89%), followed by intermediate quality (28.95%), while the percentage of low-quality videos was 13.16% (Fig. 2).
Fig. 2

Quality of the analyzed videos according to Global Quality Scale

Quality of the analyzed videos according to Global Quality Scale

Discussion

Today, patients increasingly turn to online sources to make informed decisions [1]. The internet is the third most trustworthy source of health information after physicians and government healthcare institutions and is perceived as more reliable than traditional mass media [25]. Patient education is often emphasized as a vital determinant in order to optimize outcomes for chronic rheumatic diseases, such as gout [9]. YouTube is a free and easy-to-access video sharing platform with the potential of being a valuable source of health-related information [1]. However, the variety of origin and lack of a filter process on this platform can lead to the spread of misleading information [1]. The aim of this study was to evaluate the reliability and quality of gout-related videos on YouTube. We analyzed 114 videos with a total view count of over 16 million and a whole duration of 19.3 h, indicating YouTube as a popular source of information for gout patients. The earliest video in the sample was posted on October 21, 2010, and patients were the primary target audience (71%). Rheumatologists were the most common specialists in the analyzed videos. Hay et al. found that 87.5% of rheumatology patients referred to the internet to seek information about their condition before their first appointment with a rheumatologist [26]. In addition, the authors found that patients with more pain tended to resort to the internet more to obtain information [26]. Considering that gout patients experience severe pain, it is not unexpected for these patients to seek online information quite often. The major advantage of YouTube compared to a face-to-face meeting with a physician is that it can be easily accessed with a click for 24 h a day, seven days a week. Consequently, YouTube can be a source of information to complement the physician’s advice, given the limited time for consultation. When we analyzed the content of the videos, we determined that the most frequently addressed topic was an appropriate diet for gout (28.07%). The following topics were gout arthritis and gout treatment (21.05% for both). Although many physicians have focused on urate-lowering therapy, diet remains a very crucial part of gout management [27], which is also emphasized by the guidelines of professional organizations such as ACR and EULAR [15, 16]. It has been supported by strong evidence that the main component of lifestyle changes required in gout is weight loss through diet modification [27]. The absence of symptoms between arthritis attacks may make patients feel complacent about their condition and lead them to seek improvement with diet rather than medication. Therefore, it is not unexpected to determine diet as the most common topic. However, an interesting finding was that content related to associated comorbidities had a relatively small proportion (7.02%). Given its importance in gout management, this content should be further addressed, especially by academic institutions/professional organizations. Video engagement parameters such as the number of likes and comments did not statistically significantly differ between the useful and misleading videos, which is consistent with previous studies on Sjogren’s syndrome, rheumatoid arthritis, spondyloarthritis, and systemic lupus erythematosus [1, 5, 8, 9]. However, previous studies displayed variations in viewership between useful and misleading videos. Elangovan et al. [8] and Esen et al. [28] observed no significant differences in the viewership between useful and misleading videos. In contrast, Garg et al. [29] demonstrated higher viewership for misleading videos similar to our study. Thus, more view count does not always mean accurate information. Interestingly, we found that the number of dislikes was statistically significant in the misleading videos than the useful ones, suggesting that patients may have become aware of the misleading nature of the videos after watching them. To eliminate this issue, YouTube should consider establishing a prevention mechanism before uploading videos. A recent study about information and misinformation on COVID-19 revealed that social media channels were the most important source of misinformation [30]. While social media platforms are easily accessible sources of health-related information, they do not always provide appropriate content. YouTube, a popular social media platform, contains misleading information that contradicts the guidelines and standards in the field, and non-healthcare users are more vulnerable to such content [2]. While 87.72% of the videos analyzed in our study included accurate health information and were deemed as useful, 12.28% contained misleading information. This percentage of useful information was higher than those reported by previous studies (58.3–63%) assessing medical health information on YouTube videos related to hypertension, dialysis, and influenza [29, 31, 32]. In studies that recently analyzed misinformation about COVID-19 on YouTube [7, 18, 33], the percentage of useful videos was also determined to be lower (37.14–72.50%) compared to our study. Concerning rheumatic diseases, YouTube studies have shown varying results; for example, the rate of useful videos was reported as 51.4% for Sjogren’s syndrome [1] and 54.9% for rheumatoid arthritis [5], which were both lower than our study, while studies on spondyloarthritis and systemic lupus erythematosus determined similar rates to our study (86% and 83.60%, respectively) [8, 9]. In our study, no misleading videos were posted by academic institutions/professional organizations, which is in agreement with previous studies [7, 18, 21, 33]. Not surprisingly, the modified DISCERN and GQS scores for the useful videos were significantly higher than those of the misleading videos (p < 0.001). Most of the videos in our study contained useful information with acceptable reliability and quality, suggesting that gout information presented on YouTube can be beneficial for both patients and healthcare professionals. However, specialists interested in gout should be aware that YouTube may contain some misinformation, and patients may be exposed to unscientific content. According to sources, the majority of the videos had been uploaded by physicians (36.84%) while independent users had posted only a smaller portion of the videos (6.14%). Academic institutions/professional organizations had uploaded 17.54% of the total videos, which is slightly higher than reported in previous studies (10–15%) [5, 18, 29]. In the literature, the highest scores for modified DISCERN and GQS were considered to indicate the highest reliability and quality [1, 9], which was also the case in the current study. In addition, the reliability and quality scores of the videos uploaded by academic institutions/professional organizations were significantly higher compared to the other video sources except physicians. The median modified DISCERN and GQS scores of the videos provided by healthcare professionals other than physicians and health information websites were both 3, indicating moderate reliability and quality. The videos posted by independent users demonstrated the lowest reliability and quality scores, as expected based on previous studies [18, 23, 34]. A study by Rice demonstrated that 25% of people seeking health information always checked the video source, 25% checked it sometimes, and 50% never checked it [35]. Physicians should consider advising their patients to view the source when searching the internet to increase the possibility of accessing reliable and high-qualify medical information on gout.

Limitations

This was a cross-sectional study that captured only an instantaneous snapshot. YouTube is a dynamic video-sharing platform with daily renewed content, and therefore this limitation is expected for all similar studies. Another limitation was that we analyzed only English-language videos. However, English is accepted as the prevailing language for access to online information [1]. Our evaluation was also limited to the first 60 videos for each search term. We decided on this number based on previous data suggesting that the majority of consumers do not look beyond the first few pages when searching YouTube [36]. Lastly, only YouTube videos were analyzed, and other social media websites were not evaluated.

Conclusion

Our study revealed that the majority of YouTube videos on gout provided useful information. This information may help increase patients’ awareness about gout arthritis, treatment decisions, and diet, and support the information provided by physicians. However, physicians should be aware of the limitations of YouTube videos to better guide their patients, and they should also correct any misinformation during face-to-face meetings with their patients. Professional organizations such as EULAR and ACR should consider collaborating with YouTube to increase the dissemination of accurate, evidence-based information for rheumatic diseases. YouTube should consider blocking misleading videos using validity scales such as modified DISCERN and GQS.
  34 in total

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Review 7.  2016 updated EULAR evidence-based recommendations for the management of gout.

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