The impact and applications of social media platforms for public health responses before and during COVID-19

COVID-19 open data: An ecological study and international collaboration examining pandemic trends in Northern Periphery arctic countries

Objectives: In the early stages of the COVID-19 pandemic, evidence generation lagged behind public health responses. This study describes an international collaboration of frontline clinicians who used open data describing COVID-19 trends to generate "practice-based evidence". Methods: Open data resources from nine Northern Periphery and Arctic (NPA) countries were harnessed using the open-source programming language 'R' and our collaborations analyses and insights were published on a public-facing website. The website's visualisations guided teleconference discussions from September 2020 to March 2021, focusing on contextualizing national responses, especially in rural regions. Results: This project facilitated shared learning from COVID-19 trends and highlighted key aspects of national responses. Notably, rural NPA regions experienced less COVID-19 cases and mortality in the first year of the pandemic. Conclusion: This international collaborative effort, driven by open data analysis, provided a platform to share real-world insights. The study offers a potential template for future pandemics and emphasises the importance of sustaining open data resources, including granular data like excess mortality, for effective pandemic learning.

Managing medical knowledge flow: Physicians' social media actualisation practices

Physicians have extensive clinical knowledge and are thus uniquely positioned to offer public health education through social media (SM) platforms. However, it may be challenging for them to effectively communicate complex medical information to lay people with varying levels of related knowledge. There is limited research on how physicians navigate these challenges. This study uses affordance actualisation theory to investigate how a prominent physician adapts SM features to effectively disseminate medical and scientific information. The study identifies two key SM actualisation practices in this process. First, the process involves balancing knowledge brevity to improve accessibility while maintaining information fidelity to ensure accuracy. Second, the process involves providing valuable clinical insights while adhering to legal constraints in the open SM environment through the optimisation of SM features as a compensatory mechanism. The current findings contribute to a theoretical framework on how physicians manage medical knowledge flow online, which involves not only advancing knowledge but also carefully regulating knowledge to maintain accuracy and professional standards within the open nature of SM.

Innovating health prevention models in detecting infectious disease outbreaks through social media data: an umbrella review of the evidence

Introduction and objective

The number of literature reviews examining the use of social media in detecting emerging infectious diseases has recently experienced an unprecedented growth. Yet, a higher-level integration of the evidence is still lacking. This study aimed to synthesize existing systematic literature reviews published on this topic, offering an overview that can help policymakers and public health authorities to select appropriate policies and guidelines.

Methods

We conducted an umbrella review: a review of systematic reviews published between 2011 and 2023 following the PRISMA statement guidelines. The review protocol was registered in the PROSPERO database (CRD42021254568). As part of the search strategy, three database searches were conducted, specifically in PubMed, Web of Science, and Google Scholar. The quality of the included reviews was determined using A Measurement Tool to Assess Systematic Reviews 2.

Results

Synthesis included 32 systematic reviews and 3,704 primary studies that investigated how the social media listening could improve the healthcare system's efficiency in terms of a timely response to treat epidemic situations. Most of the included systematic reviews concluded showing positive outcomes when using social media data for infectious disease surveillance.

Conclusion

Systematic reviews showed the important role of social media in predicting and detecting disease outbreaks, potentially reducing morbidity and mortality through swift public health action. The policy interventions strongly benefit from the continued use of online data in public health surveillance systems because they can help in recognizing important patterns for disease surveillance and significantly improve the disease prediction abilities of the traditional surveillance systems.

Systematic Review Registration

http://www.crd.york.ac.uk/PROSPERO, identifier [CRD42021254568].

Elements Influencing User Engagement in Social Media Posts on Lifestyle Risk Factors: Systematic Review

BACKGROUND

The high prevalence of noncommunicable diseases and the growing importance of social media have prompted health care professionals (HCPs) to use social media to deliver health information aimed at reducing lifestyle risk factors. Previous studies have acknowledged that the identification of elements that influence user engagement metrics could help HCPs in creating engaging posts toward effective health promotion on social media. Nevertheless, few studies have attempted to comprehensively identify a list of elements in social media posts that could influence user engagement metrics.

OBJECTIVE

This systematic review aimed to identify elements influencing user engagement metrics in social media posts by HCPs aimed to reduce lifestyle risk factors.

METHODS

Relevant studies in English, published between January 2006 and June 2023 were identified from MEDLINE or OVID, Scopus, Web of Science, and CINAHL databases. Included studies were those that examined social media posts by HCPs aimed at reducing the 4 key lifestyle risk factors. Additionally, the studies also outlined elements in social media posts that influenced user engagement metrics. The titles, abstracts, and full papers were screened and reviewed for eligibility. Following data extraction, narrative synthesis was performed. All investigated elements in the included studies were categorized. The elements in social media posts that influenced user engagement metrics were identified.

RESULTS

A total of 19 studies were included in this review. Investigated elements were grouped into 9 categories, with 35 elements found to influence user engagement. The 3 predominant categories of elements influencing user engagement were communication using supportive or emotive elements, communication aimed toward behavioral changes, and the appearance of posts. In contrast, the source of post content, social media platform, and timing of post had less than 3 studies with elements influencing user engagement.

CONCLUSIONS

Findings demonstrated that supportive or emotive communication toward behavioral changes and post appearance could increase postlevel interactions, indicating a favorable response from the users toward posts made by HCPs. As social media continues to evolve, these elements should be constantly evaluated through further research.

Disclosure Patterns of Opioid Use Disorders in Perinatal Care During the Opioid Epidemic on X From 2019 to 2021: Thematic Analysis

BACKGROUND

In 2021, the United States experienced a 14% rise in fatal drug overdoses totaling 106,699 deaths, driven by harmful opioid use, particularly among individuals in the perinatal period who face increased risks associated with opioid use disorders (OUDs). Increased concerns about the impacts of escalating harmful opioid use among pregnant and postpartum persons are rising. Most of the current limited perinatal OUD studies were conducted using traditional methods, such as interviews and randomized controlled trials to understand OUD treatment, risk factors, and associated adverse effects. However, little is known about how social media data, such as X, formerly known as Twitter, can be leveraged to explore and identify broad perinatal OUD trends, disclosure and communication patterns, and public health surveillance about OUD in the perinatal period.

OBJECTIVE

The objective is 3-fold: first, we aim to identify key themes and trends in perinatal OUD discussions on platform X. Second, we explore user engagement patterns, including replying and retweeting behaviors. Third, we investigate computational methods that could potentially streamline and scale the labor-intensive manual annotation effort.

METHODS

We extracted 6 million raw perinatal-themed tweets posted by global X users during the opioid epidemic from May 2019 to October 2021. After data cleaning and sampling, we used 500 tweets related to OUD in the perinatal period by US X users for a thematic analysis using NVivo (Lumivero) software.

RESULTS

Seven major themes emerged from our thematic analysis: (1) political views related to harmful opioid and other substance use, (2) perceptions of others' substance use, (3) lived experiences of opioid and other substance use, (4) news reports or papers related to opioid and other substance use, (5) health care initiatives, (6) adverse effects on children's health due to parental substance use, and (7) topics related to nonopioid substance use. Among these 7 themes, our user engagement analysis revealed that themes 4 and 5 received the highest average retweet counts, and theme 3 received the highest average tweet reply count. We further found that different computational methods excel in analyzing different themes.

CONCLUSIONS

Social media platforms such as X can serve as a valuable tool for analyzing real-time discourse and exploring public perceptions, opinions, and behaviors related to maternal substance use, particularly, harmful opioid use in the perinatal period. More health promotion strategies can be carried out on social media platforms to provide educational support for the OUD perinatal population.

Understanding the influence of social media on COVID-19 vaccine acceptance in a war-torn Syria: A cross-sectional study

Social media has become a source of disseminating information to the public during the COVID-19 outbreak which has been a great advantage for healthcare centers. However, foreign anti-vaccination campaigns on social media increased the disbelief in vaccine safety. To our knowledge, the effects of social media on COVID-19 vaccine acceptance are not well-studied in low-income countries. The primary objective of this survey is to investigate Syrians' dependence on social media platforms to get information about vaccines, and to what extent it affects their vaccination decision. A web-based cross-sectional study was conducted in Syria from May 26th to July 26th, 2022 using an online questionnaire as Google Form posted on various social media platforms. The questionnaire consisted of 53 questions related to each of the socio-demographic characteristics, beliefs, and knowledge about COVID-19 vaccination, willingness to get vaccinated, and social media frequency use and its effects. Univariate and multivariate logistic regression was performed to identify factors associated with vaccination behavior. A total of 780 questionnaires were completed; around 42.2% of study participants did not get the vaccine, and 24% would take it only under compulsory rules. Also, only 3.08% of the participants answered correctly on the knowledge-evaluation questions. Results of the univariate analysis showed that being female, living in an urban residential area, and having good vaccine knowledge were positive predictors of vaccine receiving. The unvaccinated group had a higher likelihood of being college students, not trusting in the vaccine, knowing relatively less about the vaccine, and not having previously been exposed to the virus. No significant correlation between vaccination status and using social media was shown in our investigation. However, our results show the importance of social media information in health-related decisions in war-torn countries and emphasize further investigations to confirm causality and determine the best health policy choice.

Creating, publishing, and spreading processes of health-related contents in internet news sites: evaluation of the opinions of actors in health communication

Introduction

The accuracy and reliability of health information disseminated through news is crucial, as it directly impacts both individual and societal health outcomes. This study aims to analyze the publication process of health content in Türkiye and its implications for public health. By examining the perspectives of various health communication stakeholders, the study seeks to identify existing issues and propose potential solutions.

Methods

The research uses a mixed-methods approach, including baseline content analysis of 846 news by 133 criteria, quantitative research with 78 participants encompassing bureaucrats, academics, journalists, and health association members, and 15 in-depth interviews for comprehensive insights.

Results

The content analysis indicated that 23.2% of the analyzed news articles lacked credible sources, while 63% did not mention the author's name. A striking 96.2% of respondents stated that inaccurate health news poses a risk to public health, emphasizing the urgent need for standardized reporting practices. The majority (90.9%) pinpointed the media as the primary catalysts for infodemic spread, with 93.5% citing gatekeepers as barriers to accurate information. Eroding trust in media, fueled by unethical practices, harms both media credibility and effective public health interventions.

Discussion

The study underscores the necessity for a collaborative approach among public institutions, academia, and media, focusing on responsibility, regulation, and sanctions against the infodemic. The research advocates for a balanced approach that prioritizes health rights and press freedom within a stakeholder-driven framework, highlighting that legislation alone cannot fully enhance the digital information ecosystem.

A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

Although previous studies have acknowledged the potential of geographic information systems (GIS) and social media data (SMD) in assessment of exposure to various environmental risks, none has presented a simple, effective and user-friendly tool. This study introduces a conceptual model that integrates individual mobility patterns extracted from social media, with the geographic footprints of infectious diseases and other environmental agents utilizing GIS. The efficacy of the model was independently evaluated for selected case studies involving lead in the ground; particulate matter in the air; and an infectious, viral disease (COVID- 19). A graphical user interface (GUI) was developed as the final output of this study. Overall, the evaluation of the model demonstrated feasibility in successfully extracting individual mobility patterns, identifying potential exposure sites and quantifying the frequency and magnitude of exposure. Importantly, the novelty of the developed model lies not merely in its efficiency in integrating GIS and SMD for exposure assessment, but also in considering the practical requirements of health practitioners. Although the conceptual model, developed together with its associated GUI, presents a promising and practical approach to assessment of the exposure to environmental risks discussed here, its applicability, versatility and efficacy extends beyond the case studies presented in this study.

New evidence on the real role of digital economy in influencing public health efficiency

In recent years, the rapid advancement of digital technology has supported the growth of the digital economy. The transformation towards digitization in the public health sector serves as a key indicator of this economic shift. Understanding how the digital economy continuously improves the efficiency of public health services and its various pathways of influence has become increasingly important. It is essential to clarify the impact mechanism of the digital economy on public health services to optimize health expenditures and advance digital economic construction. This study investigates the impact of digital economic development on the efficiency of public health services from a novel perspective, considering social media usage and urban-rural healthcare disparities while constructing a comprehensive index of digital economic development. The findings indicate that the digital economy reduces the efficiency of public health services primarily through two transmission mechanisms: the promotion of social media usage and the widening urban-rural healthcare gap. Moreover, these impacts and transmission pathways exhibit spatial heterogeneity. This study unveils the intrinsic connection and mechanisms of interaction between digital economic development and the efficiency of public health services, providing a theoretical basis and reference for government policy formulation. However, it also prompts further considerations on achieving synergy and interaction between the digital economy and public health services.

The paradoxes of telehealth platforms: what did we learn from the use of telehealth platforms?

This article is an overview and reflection of the findings of an evaluative study conducted on a program called "Techno-Covid Partnership" (TCP) implemented in April 2020 at the Centre Hospitalier de l'Université de Montréal (CHUM) in Montreal, Canada. In the context of the COVID-19 pandemic, the CHUM decided in April 2020 to implement telehealth, virtual care, and telemonitoring platforms and technologies to maintain access to care and reduce the risks of contamination and spread of COVID-19 as well as to protect users of health services and health professionals. Three technological platforms for telehealth and remote care and monitoring have been developed, implemented, and evaluated in real-time within the framework of the TCP program. A cross-sectional study was carried out in which a questionnaire was used and administered to users of telehealth platforms including patients and healthcare professionals. The methods and results of the study have been published previously published. In the completion of the two articles published in this context, in this paper, we briefly recall the context of the study and the method performed. The main focus of the paper is on presenting a critical overview and reflection on the major findings of our evaluation of the use of telehealth platforms from the point of view of patients and health professionals and discuss certain paradoxes i.e., the advantages, challenges, recommendations, and other perspectives that emerged in this study.

Perceptions and Experiences of Undergraduate Students Regarding Social Media as a Tool for Government COVID-19-Related Messages: A Qualitative Study in Nottingham, UK

The rise of social media has given way to its use as a form of public health communication. Previous research has shown social media-based interventions to be effective, particularly for university students. Social media was used as a tool for public health messaging during the COVID-19 pandemic; however, there is a lack of information regarding the experiences and perceptions of such messaging and its effectiveness among UK university students. A qualitative study was conducted to explore the perceptions and experiences of public health messaging on social media during the pandemic, as well as the effects of such messaging. Fourteen semi-structured interviews with undergraduate students at the University of Nottingham, UK, were conducted. Five main themes were identified: effects of COVID-19 on university students, use of social media by university students, COVID-19 messaging on social media, effects of public health messaging on social media in compliance with COVID-19 guidelines, and improving public health messaging for the future. This study provides a novel insight into the experiences and perceptions of undergraduate students at a UK university regarding public health messaging on social media during the COVID-19 pandemic.

Association between daily use of social media and behavioral lifestyles in the Saudi community: a cross-sectional study

Objective

This study aimed to investigate the association between nine social media platforms use and health-related behavior, including fruit and vegetable intake, physical activity, tobacco use, and risk factors including depression and obesity.

Methods

A cross-sectional study was conducted using secondary data from the Sharik Health Indicators Surveillance System (SHISS). Participants 18 years and older were recruited via phone-interviews. The nine social media platform use [Twitter-(X), Facebook, Instagram, WhatsApp, LinkedIn, Snapchat, TikTok, Telegram, and YouTube] were assessed using self-reported use. Health-related variables include behavioral factors including diet, physical activity, and tobacco use including (cigarettes, waterpipes, and e-cigarettes), risk of depression and obesity. Logistic regression analysis was performed to explore the association between social media use and health-related variables.

Results

The study indicated that daily Snapchat users had a lower healthy diet (fruit and vegetable intake), whereas daily LinkedIn and WhatsApp users were positively associated with a healthier diet, relative to those with infrequent social media use. Furthermore, daily interaction with Instagram, TikTok, Telegram, and YouTube was significantly associated with increased depression risk. Conversely, Snapchat and WhatsApp usage was significantly linked to a decreased depression risk. Tobacco-smoking behaviors were associated with specific social media platforms: cigarette smoking was associated with Snapchat, TikTok, and YouTube; e-cigarette with Facebook, LinkedIn, Snapchat, and TikTok; and waterpipe smoking with Facebook and TikTok. Interestingly, some platforms, such as Instagram, were associated with reduced cigarette smoking. The relationship between social media activity and health-related outcomes remained significant after adjusting for age and gender.

Conclusion

This study highlights the potential negative impact of particular daily social media use on health-related variables, including dietary habits, tobacco use, and depression. Nevertheless, particular daily social media use of some platforms was associated with a potential positive impact on the health-related variables. Social media platforms are tools that can be used to achieve both a positive and negative effect. By knowing which demographic segments have a greater presence on one platform, we are creating opportunities to understand the social phenomena and at the same time use it to reach those segments and communicate with them, because each social media platform has its unique way and framework of user communication.

The Medical Community's Role in Communication Strategies during Health Crises-Perspective from European Union of Medical Specialists (UEMS)

The COVID-19 pandemic was complicated by the spread of false information leading to what became widely called an "infodemic". The present opinion paper was written by an ad hoc international team united under the European Union of Medical Specialists (UEMS) umbrella and reflects the organizations' effort to contribute to the resolution of these issues, by highlighting and reflecting on them and by suggesting the medical community's necessary activities resulting in the formulation of effective future communication strategies. The importance of physicians' and other health workers' role and mission as educators and leaders in communities in critical situations should be reassessed and upgraded. We need to equip future doctors with strong and sustainable leadership and communication skills through relevant undergraduate and postgraduate education programs, in order that compliance with preventive medical advice is increased. To avoid possible politically and otherwise biased communication in health crises of the future, European nations should establish independent advisory bodies providing evidence-based advice and participate in communication campaigns. Medical and other health professional organizations should build organizational and personal capacities of their members to enable them to reliably inform and adequately educate governments, populations, civic society, employers' and employees' organizations, schools and universities, and other stakeholders.

Investigating online activity in UK adolescent mental health patients: a feasibility study using a natural language processing approach for electronic health records

OBJECTIVES

To assess the feasibility of using a natural language processing (NLP) application for extraction of free-text online activity mentions in adolescent mental health patient electronic health records (EHRs).

SETTING

The Clinical Records Interactive Search system allows detailed research based on deidentified EHRs from the South London and Maudsley NHS Foundation Trust, a large south London Mental Health Trust providing secondary and tertiary mental healthcare.

PARTICIPANTS AND METHODS

We developed a gazetteer of online activity terms and annotation guidelines, from 5480 clinical notes (200 adolescents, aged 11-17 years) receiving specialist mental healthcare. The preprocessing and manual curation steps of this real-world data set allowed development of a rule-based NLP application to automate identification of online activity (internet, social media, online gaming) mentions in EHRs. The context of each mention was also recorded manually as: supportive, detrimental or neutral in a subset of data for additional analysis.

RESULTS

The NLP application performed with good precision (0.97) and recall (0.94) for identification of online activity mentions. Preliminary analyses found 34% of online activity mentions were considered to have been documented within a supportive context for the young person, 38% detrimental and 28% neutral.

CONCLUSION

Our results provide an important example of a rule-based NLP methodology to accurately identify online activity recording in EHRs, enabling researchers to now investigate associations with a range of adolescent mental health outcomes.

Social Media and Apps in Urology

Purpose of Review

In this study, we aimed to review the common social media (SoMe) apps used and how they have impacted the practice and exchange of information, as well as the challenges of using SoMe in urology.

Recent Findings

SoMe has become increasingly popular in the urology community. Lay users often turn to SoMe to learn about urological health and share their own experiences, while medical professionals may use it for career development, networking, education, and research purposes.

Summary

It is important to recognize the power of SoMe and to use it responsibly and ethically, particularly given the potential risks of encountering low-quality or misleading information.

TikTok and YouTube as sources of information on anal fissure: A comparative analysis

Introduction

Anal fissure is a common colorectal disease impacting patients' life quality with high incidence. Social media platforms are becoming a kind of health information source nowadays. This study aims to evaluate and compare the quality of anal fissure-related videos on TikTok and YouTube.

Materials and methods

One hundred videos were sourced from TikTok and YouTube, respectively and videos were screened further. The completeness of six types of content within the videos is assessed, including the definition of disease, symptoms, risk factors, evaluation, management and outcomes. Finally, the DISCERN instrument, Patient Education Materials Assessment Tool and Global Quality scale are used to assess video display quality and content. A correlation analysis is undertaken considering the video features, DISCERN, PEMAT and GQS scores.

Results

Physicians and non-profit organizations contributed almost all video content among selected videos. A statistically significant correlation between DISCERN classification and duration, PEMAT understandability, PEMAT actionability and GQS scores is recorded. DISCERN total scores were significantly positively correlated with video duration, PEMAT understandability, PEMAT actionability and GQS scores. GQS scores were significantly positively correlated with duration, PEMAT understandability and PEMAT actionability scores. For content, the videos mainly described management and symptoms while containing limited information on the disease evaluation, and outcomes.

Conclusions

The sources of uploaders on YouTube are more diverse than TikTok, and the quality of videos is also relatively higher on YouTube. Even so, the video quality of the two platforms still needs to be further improved. Health information without integrity, reliability and practicability impacts patients' disease perception and health-seeking behavior, leading to serious consequences. Much effort must be taken to improve the quality of videos regarding anal fissures on the two platforms, which will facilitate the development of public health education on this issue.

Assessment of videos related to lung nodules in China

Background

With the popularization of mobile phones and the development of the Internet, many patients use social media platforms to seek health information. Currently, TikTok, iQiyi, Bilibili, and Weibo are the most popular video platforms in China. Therefore, based on the above facts, this study estimated the quality of lung nodule videos taken in China using these platforms.

Methods

The term “lung nodule” was searched on these platforms. Then, the first 30 videos were selected. Subsequently, some videos were excluded after they had been reviewed and analyzed, after which information on the features and sources of these videos was finally assessed using DISCERN, the Journal of the American Medical Association (JAMA) Benchmark Criteria, and the Hexagonal Radar Schema. Analysis was performed according to different groups.

Results

101 videos were included in this study. According to the different sources, although most videos were from physicians (71.3%), comprising those with shorter durations; faster updates; and more likes, comments, and shares; no significant difference in the scores were obtained. Moreover, regarding the different platforms, while Weibo had the highest update, TikTok had more likes, comments, and shares. Investigations also revealed that while score differences were recorded, most videos were rated “very poor” and “poor.” Besides, hexagonal radar charts showed a severe deficiency of video information.

Conclusions

Although the quality of most videos on the understudied social media platforms was poor, these platforms have huge potential. Therefore, caution should be exercised when using the platforms as information sources about lung nodules, and a better review and push system is needed.

The digital rainbow: Digital determinants of health inequities

The widely used socioecological rainbow model from Dahlgren and Whitehead specifies determinants of health inequity on multiple hierarchical levels and suggests that these determinants may interact both within and between levels. At the time of its inception, digital determinants only played a minor role in tackling inequities in public health and were therefore not specifically considered. This has dramatically changed: From today's perspective, health inequities increasingly depend on digital determinants. In this article, we suggest adapting the Dahlgren-Whitehead model to reflect these developments. We propose a model that allows formulating testable hypotheses, interpreting research findings, and developing policy implications against the background of the global spread of digital technologies. This may facilitate the development of a new line of research and logic models for public health interventions in the digital age. Using the COVID-19 pandemic as a case study, we illustrate how the digitization of all aspects of life affects the different levels of determinants of health inequities in the Dahlgren-Whitehead model. In doing so, we deliberately argue for not introducing a separate digital sphere in its own right, but for understanding digitization as a phenomenon that permeates all levels of determinants of health inequities. As a result, we present a digital rainbow model that integrates Dahlgren and Whitehead's 1991 model with digital environments to identify current health promotion and research issues without changing the rainbow model's initial structure.

How Portuguese Health Entities Used Social Media to Face the Public Health Emergency during COVID-19 Disease

BACKGROUND

During the COVID-19 pandemic, social media became an important and easily accessible source of information to keep the population informed. In this study, we explored how Portuguese health entities used social media during the public health emergency caused by COVID-19 disease.

METHODS

A retrospective study on Portuguese public health entities' communication with the public using social media platforms was performed. Data were retrieved from Facebook, Instagram, and Twitter. All retrieved posts were analyzed, and the engagement of the public was calculated. A thematic analysis of all COVID-19-related posts was conducted.

RESULTS

The analysis of each social media platform revealed that during the COVID-19 pandemic, health entities reinforced their presence on social media platforms. The most published posts were related to "epidemiological context" and "encouragement to take actions" to avoid the spread of COVID-19. High engagement frames were not associated with the most frequently published posts.

CONCLUSIONS

Although health entities have reinforced their presence on social media platforms, they do not take full advantage of these platforms to improve health literacy.

Infodemics and health misinformation: a systematic review of reviews

Objective

To compare and summarize the literature regarding infodemics and health misinformation, and to identify challenges and opportunities for addressing the issues of infodemics.

Methods

We searched MEDLINE®, Embase®, Cochrane Library of Systematic Reviews, Scopus and Epistemonikos on 6 May 2022 for systematic reviews analysing infodemics, misinformation, disinformation and fake news related to health. We grouped studies based on similarity and retrieved evidence on challenges and opportunities. We used the AMSTAR 2 approach to assess the reviews' methodological quality. To evaluate the quality of the evidence, we used the Grading of Recommendations Assessment, Development and Evaluation guidelines.

Findings

Our search identified 31 systematic reviews, of which 17 were published. The proportion of health-related misinformation on social media ranged from 0.2% to 28.8%. Twitter, Facebook, YouTube and Instagram are critical in disseminating the rapid and far-reaching information. The most negative consequences of health misinformation are the increase of misleading or incorrect interpretations of available evidence, impact on mental health, misallocation of health resources and an increase in vaccination hesitancy. The increase of unreliable health information delays care provision and increases the occurrence of hateful and divisive rhetoric. Social media could also be a useful tool to combat misinformation during crises. Included reviews highlight the poor quality of published studies during health crises.

Conclusion

Available evidence suggests that infodemics during health emergencies have an adverse effect on society. Multisectoral actions to counteract infodemics and health misinformation are needed, including developing legal policies, creating and promoting awareness campaigns, improving health-related content in mass media and increasing people's digital and health literacy.

How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media

The COVID-19 pandemic required communities throughout the world to deal with unknown threats. Using Twitter data, this study aimed to detect reactions to the outbreak in Italy and to evaluate the relationship between measures derived from social media (SM) with both national epidemiological data and reports on the violations of the restrictions. The dynamics of time-series about tweets counts, emotions expressed, and themes discussed were evaluated using Italian posts regarding COVID-19 from 25 February to 4 May 2020. Considering 4,988,255 tweets, results highlight that emotions changed significantly over time with anger, disgust, fear, and sadness showing a downward trend, while joy, trust, anticipation, and surprise increased. The trend of emotions correlated significantly with national variation in confirmed cases and reports on the violations of restrictive measures. The study highlights the potential of using SM to assess emotional and behavioural reactions, delineating their possible contribution to the establishment of a decision management system during emergencies.

Quality of Internet Videos Related to Pediatric Urology in Mainland China: A Cross-Sectional Study

Background

Pediatric urological diseases pose serious threats to children's physical and mental health. The COVID-19 pandemic has resulted in poor pediatric outcomes for cryptorchidism, hypospadias, and testicular torsion. Presently, many people tend to seek health information via social media platforms. This study aims to quantitatively assess the quality of videos as an information source for pediatric urology in mainland China.

Methods

In this cross-sectional study, a search was performed on social media platforms (Tiktok, Bilibili, and Weibo) with the search terms “cryptorchidism”, “hypospadias”, and “testicular torsion”. The first 30 results with any search term listed by relevance were selected in each platform. Video features (duration, number of likes, comments, and shares) and video sources were collected. Each video included in the study was assessed using DISCERN, Journal of the American Medical Association (JAMA) Benchmark Criteria, and Hexagonal Radar Schema. A correlation analysis was performed considering video features, video source, DISCERN scores and JAMA scores.

Results

A total of 152 videos were included and analyzed. The majority of videos were from physicians (65.8%). According to the DISCERN classification, most videos were rated as “very poor” (48.0%) and “poor” (36.8%). The mean DISCERN and JAMA scores were 36.56 and 2.68, respectively. The duration of videos uploaded by physicians was the shortest (P < 0.001). The video source had no relevance to numbers of “likes”, “comments”, “shares”, DISCERN scores, and JAMA scores (all P-values > 0.05). Other than video duration (P < 0.001), there was no statistically significant difference between groups for any of the recorded or calculated video data (all P values > 0.05). Hexagonal Radar Charts showed the severe imbalance and deficiency of video information. In general, Tiktok videos with the shortest duration received the most numbers of “likes”, “comments”, and “shares”, whereas the overall quality of videos on Weibo was relatively high.

Conclusions

Despite most of the videos on social media platforms being uploaded by medical authors, the overall quality was poor. The misleading, inaccurate and incomplete information may pose a health risk to the viewers, especially during the COVID-19 pandemic. Much effort needs to be undertaken to improve the quality of health-related videos regarding pediatric urology.