Journal List > J Korean Med Sci > v.39(7) > 1516086260

Zhaksylyk, Yessirkepov, Akyol, and Kocyigit: YouTube as a Source of Information on Public Health Ethics

Abstract

Background

Public health ethics (PHE) is a dynamic area within bioethics that addresses the complex moral implications of public health measures in the face of growing health threats. YouTube is a powerful and widely used platform for disseminating health-related information. The primary objective of this study is to assess videos related to PHE on YouTube. The aim is to gauge the extent of misinformation in collecting PHE videos on the platform.

Methods

On October 25, 2023, a thorough investigation on YouTube was undertaken, employing pre-determined search phrases involving ‘public health,’ ‘healthcare,’ ‘health services administration,’ and ‘health policy and ethics.’ The research encompassed a total of 137 videos that were selected according to strict inclusion and exclusion criteria. The videos were evaluated using the Global Quality Scale to measure quality and the modified DISCERN tool to evaluate reliability. The researchers identified video sources and compared several video attributes across different quality groups.

Results

A total of 137 videos were analyzed, and 65 (47.45%) were classified as high quality, 52 (37.23%) as moderate quality, and 21 (15.32%) as low quality. In high-quality videos, academic, government, physician, and university-hospital sources predominated, whereas Internet users and news sources were connected with low-quality videos. Significant differences in DISCERN score, per day views, likes, and comments were seen across the quality groups (P = 0.001 for views per day and P = 0.001 for other characteristics). According to the findings, low-quality videos had higher median values for daily views, likes, and comments.

Conclusion

Although nearly half of the videos were high-quality, low-quality videos attracted greater attention. Critical contributors to high-quality videos included academic, government, physician, and university-hospital sources. The findings highlight the importance of quality control methods on social media platforms and strategies to direct users to trustworthy health information. Authors should prioritize appropriate citations and evaluate YouTube and other comparable platforms for potential promotional low-quality information.

Graphical Abstract

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INTRODUCTION

Public health ethics (PHE) is a field that is still developing within the broader field of bioethics. The topic concerns the complex moral and ethical implications of numerous strategies and acts intending to preserve, enhance, and sustain public health (PH). PHE uniquely integrates ethical issues and empirical elements within health policy and science. In an atmosphere characterized by increasing risk factors, such as the emergence of infectious diseases like the coronavirus disease 2019 (COVID-19) pandemic and the persistent challenges presented by chronic health conditions like obesity and smoking, there is a greater focus on the complex ethical dilemmas inherent in PH. The field of study garners the interest of policymakers, PH professionals, and community stakeholders due to its complicated ethical issues related to PH approaches and interventions.12
The primary goal of PH practices is to prioritize preventive medicine, emphasizing disease prevention over treatment. Unlike medical specializations that focus on individual patients, PH policies attempt to improve the health of entire populations. Due to differences in clinical and PH approaches, the ethical standards used in PH can vary considerably. Due to the preventive nature of PH, the discipline confronts challenges regarding the extent of action that should be pursued and the moral and ethical implications associated with potential infringement upon individual liberties.34
In the era referred to as the Information Age, characterized by notable technological breakthroughs, a significant portion of the population has interacted with the Internet due to the widespread use of smartphones. The Internet has emerged as a significant facilitator, accelerating the accessibility of diverse information across multiple fields.56 Social media platforms have undergone significant progress and now serve as valuable tools for facilitating the rapid dissemination of scientific content immediately upon its release.78 YouTube, a well-recognized platform for sharing videos, has increasingly become a popular tool for disseminating health-related information. Historically, individuals frequently relied on written sources to access information. However, the extensive utilization of the Internet has resulted in a significant shift towards disseminating such information through video-sharing platforms.910 Free usages and a user-friendly interface are other advantages. Social media can also spread incorrect or misleading data.11 This condition stems from the lack of a regulatory structure on the platform responsible for monitoring and reviewing the norms and quality of content.12
The primary goal of this research is to evaluate the PHE videos on YouTube. The study aims to determine the degree of misinformation in a body of PHE videos on YouTube. It also seeks to identify reliable sources of high-quality videos. Such an endeavor is advantageous for directing consumers to trustworthy sources of information. Furthermore, evaluating the videos will help develop future ways for generating educational videos that efficiently serve the public and healthcare professionals' interests.

METHODS

This descriptive study delved into YouTube (https://www.youtube.com/) as its primary research arena, with video scans executed on October 25, 2023. When establishing the appropriate search terms, the authors have reached a consensus, with due consideration given to MeSH terms. Search terms are ‘public health,’ ‘healthcare,’ ‘health services administration,’ and ‘health policy and ethics.’ The researchers performed steps to avoid potential biases to ensure the search was conducted independently of previous searches. The researchers diligently wiped the digital slate clean, erasing the Internet browser’s cookies and search history to ensure an unbiased search, conducting it in incognito mode. This strategy was used to keep the search’s integrity and neutrality, preventing personalized search results or past data from influencing the study’s findings.1213 The researchers decided to utilize the “relevance” filter by default on YouTube to ensure the accuracy and pertinence of the search outcomes. Through this procedure, they attempted to align their search lists with the typical experiences of the general population when using the platform to conduct inquiries. According to existing research, most individuals restrict their inspection of search results to the first three pages. Historically, YouTube employed a design wherein 20 videos were presented on each page. However, the platform has since transitioned to a continuous style for displaying search results. Given this context, the research employed a methodology in which the initial 60 videos corresponding to each search term were subjected to analysis.1415
The review process comprised two authors, AA and BFK, doing independent assessments of the videos. In cases where there were inconsistencies, consensus was reached to address them. The evaluation process excluded videos that were repeated, irrelevant, unrelated to PHE, in a language other than English, or of low audio/visual quality. Out of the total number of videos, 27 were identified as duplicates, 70 were deemed irrelevant to the issue, and three were found to be in a non-English language. Moreover, three were determined to have poor audio/visual quality. Consequently, 137 videos meeting the stringent evaluation criteria were enlisted for in-depth analysis. Cohen’s kappa coefficient was employed to gauge the concordance in their evaluations.

Video parameters

The total length of the videos was determined in seconds. The date of video uploads was recorded, and the duration in days between this date and October 25, 2023, was calculated. Furthermore, comprehensive data were documented regarding the total number of views, likes, comments, and the corresponding daily figures.

Video sources

The video sources were classified into the categories: university-hospital, government organization, physician, non-profit organization and association, website, academic, Internet user, patient, non-physician health professional, and news.

Assessment of quality

The appraisal of video quality relied on employing the Global Quality Scale (GQS), a universally acknowledged yardstick for gauging online materials' educational merit and usefulness.16 The GQS features a scoring system consisting of five points. The minimum score is 1, while the maximum score is 5. A score of 1 for poor quality signifies a lack of coherence, significant information gaps and is not beneficial for patients. Conversely, a score of 5 for excellent quality signifies a high level of coherence and substantial usefulness for patients.17 On this scale, videos that amass a total score of 4 or 5 ascend to the rank of high-quality, while those securing a score of 3 are classified as moderate in quality. Meanwhile, videos that score 1 or 2 are relegated to the low-quality category.18

Assessment of reliability

The evaluation of reliability was carried out utilizing the modified DISCERN tool. This tool assesses multiple aspects, including clarity and comprehensibility, including references and supplementary sources in the videos, bias, and objectivity. The methodology utilizes binary questions, where an affirmative response is allocated a value of one, while a negative response is awarded a zero value. As a result, the highest achievable score with this approach is 5 points.1920

Statistical analysis

The statistical analysis was conducted using the Statistical Package for the Social Sciences version 20.0 software (SPSS Inc., Chicago, IL, USA). Before running the analyses, an assessment of conformance to distribution was assessed using the Shapiro-Wilk test. The data were presented as median (minimum–maximum), number (n), and percentage (%). Three distinct groups were established, and further comparisons were made using the Kruskal-Wallis test. The Kappa coefficient was computed to evaluate the consistency (between BFK and AA). Interpretations about statistical significance were conducted according to a level of 0.05.

Ethics statement

No human or animal was considered as a participant. Open data analysis was performed so ethics committee approval is not required.

RESULTS

At the outset, a cumulative count of 240 videos was recorded. After applying the exclusion criteria, ratings were conducted on 137 videos (Fig. 1). The videos were categorized based on their sources, which included university-hospital (n = 13; 9.5%), government (n = 10; 7.3%), physician (n = 19; 13.9%), non-profit organization (n = 18; 13.1%), website (n = 14; 10.2%), academic institution (n = 6; 4.4%), Internet user (n = 36; 26.3%), non-physician health professional (n = 9; 6.5%), and news (n = 12; 8.8%). Table 1 displays the overarching attributes of the videos.
Fig. 1

The flowchart illustrates the process of selecting YouTube videos.

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Table 1

General features of the videos

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Video features Median (min-max)
Duration (sec) 516 (26–6,580)
Number of views 54,292 (54–6,081,929)
Number of likes 641 (0–163,000)
Number of comments 24 (0–57,582)
The quality groups based on the GQS framework were established. Out of the entire dataset of 137 videos, 65 (47.5%) were categorized as high quality, 51 (37.2%) as moderate quality, and 21 (15.3%) as low quality. Analyzes were performed independently in the high and low-quality groups. Ultimately, the goal was to discover, in percentage terms, which sources contributed most to high and low quality. Academic (n = 5; 83.3%), government (n = 7; 70%), physician (n = 13, 68.4%), and university-hospital (n = 8; 61.5%) are the sources with the highest percentage of high-quality videos. On the opposite end of the quality range, Internet user (n = 12; 33.3%) and news (n = 3; 25%) provided low-quality videos (Table 2).
Table 2

Categorization of the videos according to sources

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Source Low quality Moderate quality High quality Total
University-Hospital 0 (0) 5 (38.5) 8 (61.5) 13
Government 1 (10) 2 (20) 7 (70) 10
Physician 1 (5.3) 5 (26.3) 13 (68.4) 19
Non-profit organization 2 (11.2) 8 (44.4) 8 (44.4) 18
Website 0 (0) 6 (42.9) 8 (57.1) 14
Academic 0 (0) 1 (16.7) 5 (83.3) 6
Internet user 12 (33.3) 13 (36.1) 11 (30.6) 36
Patient 0 (0) 0 (0) 0 (0) 0
Non-physician health professional 2 (22.3) 4 (44.4) 3 (33.3) 9
News 3 (25) 7 (58.3) 2 (16.7) 12
Values are presented as number (%).
Comparisons were conducted on the video parameters between the quality groups, with the per-day values serving as the foundation for obtaining more precise outcomes. Significant differences were seen across the groups in DISCERN score, per day views, likes, and comments (P = 0.001 for views per day and P < 0.001 for other parameters). The high-quality group exhibited the highest median DISCERN score. The low-quality group displayed the highest median values of daily views, likes, and comments (Table 3).
Table 3

Comparison of the video parameters between the low-quality, moderate, and high-quality groups

jkms-39-e61-i003
Video quality DISCERN scorea Views per dayb Likes per daya Comments per daya
Low 2 (2–3) 605.2 (0.3–6,501.4) 27.4 (0–356.4) 4.3 (0–39.7)
Moderate 3 (3–5) 50.8 (0.7–5,720.5) 0.8 (0–428.6) 0.1 (0–79.6)
High 4 (4–5) 24.9 (0–1,492) 0.2 (0–47.6) 0 (0–4.6)
Values are presented as median (min-max).
aP < 0.001; bP = 0.001.
The Kappa coefficient was computed to be 0.81.

DISCUSSION

This study conducted a thorough investigation of YouTube as a critical platform for the dissemination of information on PHE. The ever-changing characteristics of PHE and the growing incidence of health-related issues have brought ethical questions in PH measures to the forefront. In the Information Age, characterized by significant technological improvements that have become the Internet an omnipresent repository of information, it is crucial to comprehend the standards of reliability and quality of content disseminated on platforms like YouTube.21 The present article’s key findings are as follows:
  • • Approximately half of the videos were of high quality, while fewer than one-fifth were of low quality.

  • • The primary sources of the high-quality videos were academic, government, physician, and university-hospital. On the opposite end of the spectrum, Internet users and news were viewed as providers of low-quality videos.

  • • The data analysis revealed that low-quality videos exhibited the highest median values for daily views, likes, and comments.

Despite the positive outcome of almost half of the videos being categorized as high-quality and the comparatively low percentage of low-quality videos, it is imperative not to overlook the issue. Videos of low quality are recognized as a prominent tool for disseminating misleading, incorrect, and biased information.22 The emergence of low-quality videos poses a significant risk to the PH.
Classifying video sources is crucial in defining the domain of PHE information. University-hospital, academic, government, and physician sources emerged as the primary providers of high-quality videos. Contrastingly, Internet users and news sources were associated with low-quality videos. The analysis of PH information regarding COVID-19 vaccination on YouTube revealed that medical professionals obtained the highest DISCERN scores, while Internet users obtained the lowest outcomes.23 A YouTube article on COVID-19 highlighted professionals and government entities as sources of factual information while emphasizing the prevalence of non-factual information from news outlets and Internet consumers.24 An article on YouTube on ankylosing spondylitis exercises mentioned academic, university, and physician as high-quality video sources, consistent with our findings.25 The results emphasize the importance of reliable and knowledgeable professionals in PH education. Academic institutions and government organizations, renowned for their policy and research functions, exert significant influence over the dialogue surrounding PHE. Physicians’ significant influence in providing high-quality content underscores the responsibility of healthcare practitioners to distribute precise and morally sound health information. The decentralized structure of independent user-generated online content, which frequently lacks professional supervision, makes ensuring accuracy and reliability challenging. While news outlets are influential, they may favor sensationalism over sophisticated ethical debates.
The differences in DISCERN scores, daily views, likes, and comments among the quality groups provide intricate and nuanced perspectives. Firstly, it can argued that there is a parallel progression between the quality as measured by the GQS and the reliability as measured by the DISCERN score. High-quality videos can be regarded as reliable sources. Second, low-quality videos received more daily views, likes, and comments. The existing literature presents conflicting findings about this particular topic. An analysis of orthodontics videos on YouTube found that videos with excellent information content had a considerably greater interaction index.26 Examining fibromyalgia videos revealed no statistically significant link between DISCERN scores and the like ratio and video power index.27 In support of our results, an examination of videos related to rotator cuff repair revealed that sources of poorer quality tended to get greater attention.28 There may be several factors that contribute to the inconsistent results. Possible factors might include changes in the subject matter being examined, the timing of the assessments being carried out, and discrepancies in the inclinations of Internet users. However, discovering this paradoxical phenomenon encourages contemplation regarding the intricacies of online interaction. The presence of high-quality content has the potential to attract an audience that values in-depth analysis and factual accuracy. Conversely, low-quality information may generate greater interaction due to its sensationalized or misleading characteristics.
The study possesses several limitations. Neglecting videos in languages other than English may give rise to linguistic bias, perhaps resulting in disregarding important information available in other languages. Therefore, the potential constraint on the generalizability of our findings to other languages and nations may exist. The quality of videos was assessed using a single time point. However, it should be noted that search results may exhibit variability over time. We restricted the number of videos analyzed for each search phrase. More video examinations would have resulted in more comprehensive results. The video contents were not categorized, and sub-breakdowns were not created.
Our results suggest that PHE-related YouTube videos encompass a wide range of high-quality and low-quality content. Furthermore, the current study emphasizes the importance of source evaluation in attaining high-quality videos. The essential role of quality control techniques on social media platforms in ensuring accurate and ethical health information transmission emerges. Authors should take caution, prioritizing appropriate referencing and rigorously investigating content for potential promotional, deceptive, or poor-quality information on YouTube and comparable platforms in the shifting digital ecosystem.29

Notes

Disclosure: The authors have no potential conflicts of interest to disclose.

Data Sharing Statement: Raw data can be provided to researchers upon request.

Author Contributions:

  • Conceptualization: Zhaksylyk A, Yessirkepov M, Akyol A, Kocyigit BF.

  • Data curation: Akyol A, Kocyigit BF.

  • Formal analysis: Akyol A, Kocyigit BF.

  • Investigation: Zhaksylyk A, Yessirkepov M, Akyol A, Kocyigit BF.

  • Methodology: Zhaksylyk A, Yessirkepov M, Akyol A, Kocyigit BF.

  • Software: Akyol A, Kocyigit BF.

  • Visualization: Zhaksylyk A, Yessirkepov M, Akyol A, Kocyigit BF.

  • Writing - original draft: Zhaksylyk A, Yessirkepov M, Akyol A, Kocyigit BF.

  • Writing – review & editing: Zhaksylyk A, Yessirkepov M, Akyol A, Kocyigit BF.

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