Online Videos as a Source of Physiotherapy Exercise Tutorials for Patients with Lumbar Disc Herniation—A Quality Assessment

Heisinger, Stephan; Huber, Dominikus; Matzner, Michael; Hasenoehrl, Timothy; Palma, Stefano; Sternik, Julia; Trost, Carmen; Treiber, Michael; Crevenna, Richard; Grohs, Josef G.

doi:10.3390/ijerph18115815

Cited by 11 publications

(9 citation statements)

References 41 publications

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“…Likewise, a negative correlation was found between the quality of the videos and the number of likes, dislikes, views, VR and comments. In contrast to these findings, other articles found no statistically significant differences in video characteristics regarding video sources or quality categories ( Kocyigit et al, 2019 ; Culha et al, 2021 ; Koçyiğit, Akyol & Şahin, 2021 ; Heisinger et al, 2021 ; Chang & Park, 2021 ).…”

Section: Discussioncontrasting

confidence: 57%

Exercise interventions in migraine patients: a YouTube content analysis study based on grades of recommendation

Reina-Varona

Rivera-Romero

Cabrera-López

et al. 2022

PeerJ

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Background Migraine is the second leading cause of disability worldwide, engendering a high economic cost in developed countries. The adverse events related to pharmacological treatment use have increased interest in non-pharmacological interventions such as exercise. YouTube offers a public source of information for migraine patients regarding exercise interventions for migraine improvement. However, this information has not been validated to ensure the quality and validity of its content. Objective This qualitative content analysis study aims to review and evaluate YouTube videos regarding exercise for migraine. Methods A systematic review of the current evidence regarding exercise for migraine was performed to establish evidence classification and grades of recommendation with the Scottish Intercollegiate Guidelines Network tool. The data sources were PubMed, PEDro, Cochrane, EBSCO, Google Scholar and Web of Science. The quality of YouTube videos on exercise in migraine was reviewed using the Global Quality Scale and DISCERN scale. Finally, the classification in grades of recommendation was used to evaluate the included videos in terms of the various exercise modalities. Results The classification into recommendation grades showed a grade B for aerobic exercise, yoga and changes in lifestyle behavior regarding exercise. A total of 129 videos were included. The healthcare and exercise professional authors produced higher quality videos with a significant statistical difference, although the alternative therapists and patients’ videos had a greater impact and a higher viewership based on correlation analysis. The evaluation of the videos based on the recommendation grades could only include 90 videos. 71% of these videos showed a B grade of recommendation, which corresponded to fewer than half of the total included videos. Conclusions YouTube needs higher quality videos on exercise for migraine, and healthcare and exercise professional authors need to improve their scoping strategies to acquire more views. The authors of YouTube videos should have better access to the best current evidence regarding exercise interventions in migraine.

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Section: Discussioncontrasting

confidence: 57%

Exercise interventions in migraine patients: a YouTube content analysis study based on grades of recommendation

Reina-Varona

Rivera-Romero

Cabrera-López

et al. 2022

PeerJ

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“…Of the 14 relevant studies, eight addressed physical activity misinformation pertaining to specific diseases or conditions (Ekkekakis et al, 2018;Heisinger et al, 2021;Kanthawala et al, 2016;Kocyigit et al, 2019;Kunze et al, 2020;Nagpal et al, 2021;Snyder et al, 2020;Yildiz & Toros, 2021), four involved general physical activity and messaging (Borah & Xiao, 2018;Marocolo et al, 2021;Michelini, 2017;Ori et al, 2021), one focused on weight loss (Gonzalez, 2018), and one study addressed workplace sitting vs. standing guidelines (Chau et al, 2018).…”

Section: Physical Activity Topicsmentioning

confidence: 99%

“…Physical activity topics for specific diseases and conditions included physical activity for depression (Ekkekakis et al, 2018), diabetes (Kanthawala et al, 2016), ankylosing spondylitis (Kocyigit et al, 2019), breast feeding women (Snyder et al, 2020), pregnancy (Nagpal et al, 2021), vestibular rehabilitation (Yildiz & Toros, 2021), meniscus injury (Kunze et al, 2020), and lumbar disc herniation rehabilitation (Heisinger et al, 2021).…”

Section: Physical Activity Topicsmentioning

confidence: 99%

“…The most common misinformation study type (n=4) was the evaluation of the quality and content accuracy of YouTube videos for physical therapy related exercises (Heisinger et al, 2021;Kocyigit et al, 2019;Kunze et al, 2020;Yildiz & Toros, 2021). In total, 285 videos were evaluated for physical activity-related misinformation across the four studies.…”

Section: Online Media Type and Platformmentioning

confidence: 99%

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Physical Activity Misinformation on Social Media and Digital Mediums: Systematic Review

Thomas¹,

Li²,

Yu³

et al. 2023

Preprint

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Online media sources are prominent ways in which health information is spread. The accuracy and credibility of such sources ranges widely, with misleading statements, misreported results of studies, and lack of references causing health misinformation to become a growing problem. Prior research on health-related misinformation related to topics including vaccines, nutrition, and cancer, however, has excluded physical activity despite it being highly searched and discussed online. This systematic review was designed to synthesize the existing literature focused on physical activity misinformation online in accordance with PRISMA guidelines. PubMed, Cochrane, Web of Science (WoS) and Scopus databases were searched for records published between January 2016 and December 2021, which yielded 3,217 articles. After reviewing titles and abstracts, independent reviewers selected on 117 articles for full-text review. Fourteen articles met full inclusion criteria. Of those, eight addressed physical activity misinformation pertaining to specific diseases or conditions, four involved general physical activity messaging and believability, one focused on weight-loss, and one addressed workplace sitting guidelines. The social media platforms YouTube (n=4), Facebook (n=2), and Instagram (n=1) were studied, whereas other articles (n=7) analyzed media that hadn't explicitly been posted to social media but could be shared widely online. Four articles reported research with actively recruited participants and the remaining 10 articles analyzed readily available online content including news articles, websites, magazine articles and advertisements, or social media. Nine articles reported at least one measure of misinformation prevalence, while six reported a metric of reach, and only one study reported a measure of misinformation spread. Only two articles explicitly addressed the spread of physical activity misinformation online. Given the ubiquity of physical activity information online and the high potential for misinformation, we found the number of relevant articles to be lower than expected which warrants further investigation into the extent and effects of physical activity misinformation online.

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“…Physical therapy has many advantages, such as easy and reliable efficacy. Thus, it is widely used in the clinic and plays an important therapeutic role [ 2 ]. In clinical rehabilitation practice, how to optimize the prescription and further improve the efficacy is one of the important topics of concern for clinical rehabilitation workers.…”

Section: Introductionmentioning

confidence: 99%

Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation

Zhao

Xue

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. Physical therapy is a common clinical treatment for patients with lumbar disc herniation. The study is aimed at exploring the feasibility of mathematical expression and curative effect prediction of physical therapy in patients with lumbar disc herniation using a logistic model and gradient boosting machine (GBM). Methods. A total of 142 patients with lumbar disc herniation were treated with physical therapy. The pain was evaluated by the visual analogue scale (VAS) before each treatment. The logistic model was used to conduct a global regression analysis on patients with lumbar disc herniation. The final results of the whole course of treatment were predicted by the measured values of 2-9 times of treatment. The GBM model was used to predict and analyze the curative effect of physical therapy. Results. The mathematical expression ability of the logistic regression model for patients with lumbar disc herniation undergoing physical therapy was sufficient, and the global determination coefficient was 0.721. The results would be better for more than five measurements. The AUC of GBM mode logistic regression analysis was 0.936 and 0.883, and the prediction effect is statistically significant. Conclusion. Both the logistic and GBM model can fully express the changes in patients with lumbar disc herniation during physical therapy.

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Online Videos as a Source of Physiotherapy Exercise Tutorials for Patients with Lumbar Disc Herniation—A Quality Assessment

Cited by 11 publications

References 41 publications

Exercise interventions in migraine patients: a YouTube content analysis study based on grades of recommendation

Exercise interventions in migraine patients: a YouTube content analysis study based on grades of recommendation

Physical Activity Misinformation on Social Media and Digital Mediums: Systematic Review

Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation

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