Longitudinal Monitoring of Clinician-Patient Video Visits During the Peak of the COVID-19 Pandemic: Adoption and Sustained Challenges in an Integrated Health Care Delivery System.

BACKGROUND: Numerous prior opinion papers, administrative electronic health record data studies, and cross-sectional surveys of telehealth during the pandemic have been published, but none have combined assessments of video visit success monitoring with longitudinal assessments of perceived challenges to the rapid adoption of video visits during the pandemic. OBJECTIVE: This study aims to quantify (1) the use of video visits (compared with in-person and telephone visits) over time during the pandemic, (2) video visit successful connection rates, and (3) changes in perceived video visit challenges. METHODS: A web-based survey was developed for the dual purpose of monitoring and improving video visit implementation in our health care system during the COVID-19 pandemic. The survey included questions regarding rates of in-person, telephone, and video visits for clinician-patient encounters; the rate of successful connection for video visits; and perceived challenges to video visits (eg, software, hardware, bandwidth, and technology literacy). The survey was distributed via email to physicians, advanced practice professionals, and clinicians in May 2020. The survey was repeated in March 2021. Differences between the 2020 and 2021 responses were adjusted for within-respondent correlation across surveys and tested using generalized estimating equations. RESULTS: A total of 1126 surveys were completed (511 surveys in 2020 and 615 surveys in 2021). In 2020, only 21.7% (73/336) of clinicians reported no difficulty connecting with patients during video visits and 28.6% (93/325) of clinicians reported no difficulty in 2021. The distribution of the percentage of successfully connected video visits ("Over the past two weeks of scheduled visits, what percentage did you successfully connect with patients by video?") was not significantly different between 2020 and 2021 (P=.74). Challenges in conducting video visits persisted over time. Poor connectivity was the most common challenge reported by clinicians. This response increased over time, with 30.5% (156/511) selecting it as a challenge in 2020 and 37.1% (228/615) in 2021 (P=.01). Patients not having access to their electronic health record portals was also a commonly reported challenge (109/511, 21.3% in 2020 and 137/615, 22.3% in 2021, P=.73). CONCLUSIONS: During the pandemic, our health care delivery system rapidly adopted synchronous patient-clinician communication using video visits. As experience with video visits increased, the reported failure rate did not significantly decline, and clinicians continued to report challenges related to general network connectivity and patient access to technology.

Short video platforms as sources of health information about cervical cancer: A content and quality analysis.

BACKGROUND: The development of short popular science video platforms helps people obtain health information, but no research has evaluated the information characteristics and quality of short videos related to cervical cancer. The purpose of this study was to evaluate the quality and reliability of short cervical cancer-related videos on TikTok and Kwai. METHODS: The Chinese keyword "cervical cancer" was used to search for related videos on TikTok and Kwai, and a total of 163 videos were ultimately included. The overall quality of these videos was evaluated by the Global Quality Score (GQS) and the modified DISCERN tool. RESULTS: A total of 163 videos were included in this study, TikTok and Kwai contributed 82 and 81 videos, respectively. Overall, these videos received much attention; the median number of likes received was 1360 (403-6867), the median number of comments was 147 (40-601), and the median number of collections was 282 (71-1296). In terms of video content, the etiology of cervical cancer was the most frequently discussed topic. Short videos posted on TikTok received more attention than did those posted on Kwai, and the GQS and DISCERN score of videos posted on TikTok were significantly better than those of videos posted on Kwai. In addition, the videos posted by specialists were of the highest quality, with a GQS and DISCERN score of 3 (2-3) and 2 (2-3), respectively. Correlation analysis showed that GQS was significantly correlated with the modified DISCERN scores (p<0.001). CONCLUSION: In conclusion, the quality and reliability of cervical cancer-related health information provided by short videos were unsatisfactory, and the quality of the videos posted on TikTok was better than that of videos posted on Kwai. Compared with those posted by individual users, short videos posted by specialists provided higher-quality health information.

Examining the relationship between COVID-19 and suicide in media coverage through Natural Language Processing analysis

Background and objectives Suicide is a major public health concern, media can influence its awareness, contagion, and prevention. In this study, we evaluated the relationship between the COVID-19 pandemic and suicide in media coverage through Natural Language Processing analysis (NPL). Methods To study how suicide is depicted in news media, Artificial Intelligence and Big Data techniques were used to analyze news and tweets, to extract or classify the topic to which they belonged. Results A granger causality analysis showed with significant p-value that an increase in covid news at the beginning of the pandemic explains a later rise in suicide-related news. An analysis based on correlation and structural causal models show a strong relationship between the appearance of subjects “health” and “covid”, and also between “covid” and “suicide”. Conclusions Our analysis also uncovers that the inclusion of suicide-related news in the category health has grown since the outbreak of the pandemic. The COVID-19 pandemic has posed an inflection point in the way suicide-related news are reported. Our study found that the increased media attention on suicide during the COVID-19 pandemic may indicate rising social awareness of suicide and mental health, which could lead to the development of new prevention tools. (AU)

Effectiveness of video-based health promotion: A systematic review and meta-analysis.

BACKGROUND: Although health promotion scholars and practitioners frequently employ video-based promotion, its effectiveness remains uncertain due to mixed findings. Nuanced details regarding content and design also remain under-explored. METHODS: We conducted a comprehensive search across nine databases to identify relevant empirical research articles. RESULTS: Our systematic review included a total of 54 studies, with 38 studies eligible for meta-analysis. Findings highlight the promising potential of video messaging strategies in promoting health behaviors. CONCLUSIONS: Future research should focus on designing video content that targets detection behaviors within an appropriate length, guided by robust theoretical frameworks to maximize the efficacy of video promotion. More substantial evidence is needed to assess whether video promotion can achieve similar persuasive effectiveness across diverse cultural, political, and economic circumstances. Factors related to the audience (e.g., distinct psychological and personality influences) and message characteristics (e.g., length, credibility) should be further explored to better elucidate the relationship between video-based health promotion and health outcomes. PRACTICE IMPLICATIONS: Health practitioners and organizations should incorporate video-based messages in interventions as supplement or alternative means to educate audiences of positive prevention methods, establish accurate attitude and intentions toward prevention behaviors, and increase their vigilance toward risky behaviors.

YouTube® as a source of information for Spanish-speaking patients with rheumatoid arthritis / YouTube® como fuente de información para pacientes hispanohablantes con artritis reumatoide

Introduction: Social media (SoMe) has reshaped access to health information, which may benefit patients with rheumatoid arthritis (RA), although an evaluation of the characteristics of contents for Spanish-speaking patients is lacking. We aimed to assess patient engagement, reliability, comprehensiveness, and quality of data uploaded to YouTube® for Spanish-speaking patients. Methods: We evaluated the videos uploaded to YouTube® in Spanish about RA. Information about video length, engagement (i.e., views, likes, popularity index), time online, and the source was retrieved; we appraised reliability (DISCERN), comprehensiveness (content score), and quality (Global Quality Score) using standardized scores. Results: We included 200 videos in the study and classified 67% of the videos as useful. These videos had a higher number of views (19,491 [10,132–61,162] vs. 11,208 [8183–20,538]), a longer time online (1156 [719–2254] vs. 832 [487–1708] days), and a shorter duration (6.3 [3.4–15.8] vs. 11.8 [7.4–20.3] min). Engagement parameters were similar between useful and misleading videos. Useful videos had higher reliability, comprehensiveness, and quality scores. Useful videos were mainly uploaded by independent users and government/news agencies; academic organizations offered only 15% of useful videos. Conclusions: Most of the information in YouTube® for Spanish-speaking patients with RA is useful; however, patient engagement is similar between useful and misleading content. More substantial involvement of academia in developing high-quality educational multimedia is warranted.(AU)

Introducción: Las redes sociales (ReSo) han redefinido el acceso a la información en salud, beneficiando a los pacientes con artritis reumatoide (AR). No se cuenta con una evaluación de las características de su contenido para pacientes hispanohablantes. Nuestro objetivo fue evaluar los parámetros de interacción, la confiabilidad, la exhaustividad y la calidad de la información disponible en YouTube® para pacientes hispanohablantes con AR. Métodos: Evaluamos los videos en español sobre AR disponibles en YouTube®. Se extrajo información sobre la duración del video, los parámetros de interacción (por ejemplo, vistas, likes, índice de popularidad), el tiempo en línea y la fuente generadora. Estimamos la confiabilidad (DISCERN), la exhaustividad (puntaje de contenido) y la calidad (Global Quality Score) utilizando puntajes estandarizados. Resultados: Incluimos 200 videos en el estudio y clasificamos a 67% como videos útiles. Estos videos tuvieron un mayor número de vistas (19.491 [10.132-61.162] vs. 11.208 [8.183-20.538]), un mayor tiempo en línea (1.156 [719-2.254] vs. 832 [487-1.708] días) y una menor duración (6,3 [3,4-15,8] vs. 11,8 [7,4-20,3] min). Los parámetros de interacción fueron similares entre los videos útiles y los no útiles. Los videos útiles presentaron puntajes mayores de confiabilidad, exhaustividad y calidad; en su mayoría fueron generados por usuarios independientes y por organizaciones gubernamentales/agencias de noticias. Las organizaciones académicas generaron únicamente 15% de los videos útiles. Conclusiones: La mayoría de la información en YouTube® para pacientes hispanohablantes con AR es útil. Sin embargo, los parámetros de interacción son similares entre los videos útiles y los no útiles. Se requiere una mayor participación de las organizaciones académicas en el desarrollo de multimedia educativo de alta calidad.(AU)

The potential for graphical abstracts to enhance science communication.

Science communication, including formats such as podcasts, news interviews, or graphical abstracts, can contribute to the acceleration of translational research by improving knowledge transfer to patient, policymaker, and practitioner communities. In particular, graphical abstracts, which are optional for articles published in Translational Behavioral Medicine as well as many other journals, are created by authors of scientific articles or by editorial staff to visually present a study's design, findings, and implications, to improve comprehension among non-academic audiences. The use of graphical abstracts in scientific journals has increased in the past 10-15 years; however, most scientists are not trained in how to develop them, which presents a challenge for creating graphical abstracts that engage the public. In this article, the authors describe graphical abstracts and offer suggestions for their construction based on the extant literature. Specifically, graphical abstracts should use a solid background, employ an easily readable font, combine visuals with words, convey only the essential study design information and 1-3 "take-home" points, have a clear organizational structure, contain restrained and accessible use of color, use single-color icons, communicate ways to access the full-text article, and include the contact information for the lead author. Authors should obtain feedback on graphical abstract drafts prior to dissemination. There is emerging research on the benefits of graphical abstracts in terms of impact and engagement; however, it will be essential for future research to determine how to optimize the design of graphical abstracts, in order to engage patient, policymaker, and practitioner communities in improving behavioral health.

It is important that scientists find ways to make their discoveries easier to understand by the public to help turn research into action. Graphical abstracts are a fairly new strategy for communicating science using pictures and words. They focus on just the important details of the study and the key points to remember. In this article, we describe the existing research about how to create engaging graphical abstracts. For example, graphical abstracts should have clear organization, use a solid background, employ an easily readable font, use simple pictures, contain restrained and accessible use of color, provide access the full article, and include the contact information for the lead author. Authors should get feedback on the graphical abstract prior to sharing it. We also discuss how graphical abstracts may improve access to research discoveries. However, more research is necessary on how to improve the design of graphical abstracts, to better engage patient, policymaker, and provider communities in improving health.

Selfie-Related Incidents: Narrative Review and Media Content Analysis.

BACKGROUND: Selfie-related injury has become a public health concern amid the near ubiquitous use of smartphones and social media apps. Of particular concern are selfie-related deaths at aquatic locations; areas often frequented because of their photogenic allure. Unfortunately, such places exhibit hazards inherent with their environment. OBJECTIVE: This study aimed to ascertain current evidence regarding selfie-related injuries and recommended risk treatment measures in the academic literature as well as how selfie-related injuries and deaths were being reported by the media, allowing us to identify key challenges facing land managers and public health practitioners in mitigating selfie-related injuries and deaths. METHODS: Between October and December 2022, we performed a narrative review of peer-reviewed literature published since January 2011. Literature was screened to identify causal factors implicated in selfie-related deaths and injuries, as well as risk treatments recommended. Furthermore, we used an environmental scan methodology to search for media reports of selfie-related injuries and deaths at aquatic locations in Australia and the United States. Individual cases of selfie-related aquatic injuries and deaths sourced from news reports were analyzed to assess epidemiological characteristics, and a thematic content analysis was conducted to identify key themes of news reporting on selfie-related deaths and injuries. RESULTS: In total, 5 peer-reviewed studies were included. Four studies identified falls from height as the most common injury mechanism in selfie incidents. Drowning was the second most common cause of death. Recommended risk treatments were limited but included the adoption of "no selfie zones," physical barriers, signage, and provision of information on dangerous locations to social media users. In total, 12 cases were identified from media reports (4 injuries and 8 fatalities; 7 in Australia and 5 in the United States). The mean age of the reported victims was 22.1 (SD 6.93) years with victims more likely to be female tourists. Content analysis revealed 3 key themes from media reports: "blame," "warning," and "prevention and education." Few media reports (n=8) provided safety recommendations. CONCLUSIONS: The selfie-related incident phenomenon should be viewed as a public health problem that requires a public health risk communication response. To date, little attention has been paid to averting selfie-related incidents through behavior change methodologies or direct messaging to users, including through social media apps. Although previous research has recommended "no selfie zones," barriers, and signage as ways to prevent selfie incidents, our results suggest this may not be enough, and it may be prudent to also engage in direct safety messaging to social media users. Media reporting of selfie incidents should focus on preventive messaging rather than blame or warning.

Dynamic measurements of speed and risk perception during driving: Evidence of speed misestimation from continuous ratings and video analysis.

Investigating the factors underlying perceived speed and risk is crucial to ensure safe driving. However, existing studies on this topic usually measure speed and risk perception indirectly after a driving session, which makes it difficult to trace dynamic effects and time points of potential misestimates. To address this problem, we developed and validated a novel continuous method for dynamically measuring risk and speed perceptions. To study the factors affecting risk and speed perception, we presented participants with videos captured on the same racing track from the same point of view but with different drivers who varied in their speed and risk profiles. During the experiment, participants used a joystick to continuously rate the subjectively perceived risk of driving in the first block and the perceived speed in the second block. Our analysis of these dynamic ratings indicates that risk and speed estimates were decoupled, with curves resulting in decreased speeds but increased risk ratings. However, a close distance to the car in front increased both speed and risk. Based on actual and estimated speed data, we found that overtaking cars on curves resulted in participants overestimating their own speed, whereas an increase in the distance to the car in front on a straight course led to underestimations of their own speed. Our results showcase the usefulness of dynamic rating profiles for in-depth investigations into situations that could result in drivers misjudging speed or risk and will thus help the development of more intelligent, human-centered driving assistance systems.

The introduction of the Video Assistant Referee supports the fairness of the game - An analysis of the home advantage in the German Bundesliga.

The introduction of the video assistant referee (VAR) was a landmark in soccer history, yet it is not empirically examined whether the technology contributes to the most supreme value of the game: fair play. Because referees are said to be one driving cause of the home advantage (HA), the aim of this study was to examine whether the HA changed in the German Bundesliga since the implementation of the VAR in the season 2017/18. We examined a total of 2448 games during the four seasons before and after the implementation of the VAR with regards to the game outcomes (i.e., goals and points) as well as indicators of referee bias (i.e., fouls, yellow cards, 2nd yellow cards, red cards, and penalty kicks) for both the home and the away teams. Findings indicate that the VAR influences game outcomes to a fairer degree. Specifically, (i) we found statistical evidence for the HA before, but not after the implementation of the VAR. However, (ii) these results need to be interpreted with caution because direct assessments of the change induced by the introduction of the VAR are not statistically significant. Finally, (iii) with the implementation of the VAR, fewer fouls were committed by both the home and the away team.

Using video docuseries to explore male professional football head coaches' well-being experiences throughout a season.

Football coaches have disclosed how their work environment is unpredictable and demanding, comprising a multitude of stressors which can impede well-being. Additionally, the masculine culture within football often promotes suppression of voice, causing internalisation of thoughts and isolation. Due to professional football head coaches being a seldom-heard group, little is known about how they experience well-being within their given context (i.e., ecological niche). The present study utilised football docuseries and a bioecological framework to explore how four male professional head coaches experienced well-being whilst working in one of the top European football leagues (Premier League, La Liga). Four docuseries were sampled and resulted in the analysis of 31 episodes (Mduration = 46.6 min, SD = 4.5 min). The study implemented an adapted interpretative phenomenological analysis approach to illuminate convergences and divergences in contextual accounts. These accounts resulted in five group experiential themes: 'I belong to the game'; 'he belongs to the game'; 'you need the right people around you'; 'it's difficult to describe the manager without describing the person'; and 'people are trying to stab you'. The findings indicate that football coaches may experience identity conflicts and become deeply absorbed in their work. This impacts not only their well-being but also their family's, who they often turn to for social support. Consequently, by unveiling nuanced challenges to coaches' well-being, organisations may be better informed to offer more aligned and bespoke well-being support systems.

Deep learning for video-based automated pain recognition in rabbits.

Despite the wide range of uses of rabbits (Oryctolagus cuniculus) as experimental models for pain, as well as their increasing popularity as pets, pain assessment in rabbits is understudied. This study is the first to address automated detection of acute postoperative pain in rabbits. Using a dataset of video footage of n = 28 rabbits before (no pain) and after surgery (pain), we present an AI model for pain recognition using both the facial area and the body posture and reaching accuracy of above 87%. We apply a combination of 1 sec interval sampling with the Grayscale Short-Term stacking (GrayST) to incorporate temporal information for video classification at frame level and a frame selection technique to better exploit the availability of video data.

Exploring YouTube's Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories.

BACKGROUND: Throughout the COVID-19 pandemic, there has been a concern that social media may contribute to vaccine hesitancy due to the wide availability of antivaccine content on social media platforms. YouTube has stated its commitment to removing content that contains misinformation on vaccination. Nevertheless, such claims are difficult to audit. There is a need for more empirical research to evaluate the actual prevalence of antivaccine sentiment on the internet. OBJECTIVE: This study examines recommendations made by YouTube's algorithms in order to investigate whether the platform may facilitate the spread of antivaccine sentiment on the internet. We assess the prevalence of antivaccine sentiment in recommended videos and evaluate how real-world users' experiences are different from the personalized recommendations obtained by using synthetic data collection methods, which are often used to study YouTube's recommendation systems. METHODS: We trace trajectories from a credible seed video posted by the World Health Organization to antivaccine videos, following only video links suggested by YouTube's recommendation system. First, we gamify the process by asking real-world participants to intentionally find an antivaccine video with as few clicks as possible. Having collected crowdsourced trajectory data from respondents from (1) the World Health Organization and United Nations system (nWHO/UN=33) and (2) Amazon Mechanical Turk (nAMT=80), we next compare the recommendations seen by these users to recommended videos that are obtained from (3) the YouTube application programming interface's RelatedToVideoID parameter (nRTV=40) and (4) from clean browsers without any identifying cookies (nCB=40), which serve as reference points. We develop machine learning methods to classify antivaccine content at scale, enabling us to automatically evaluate 27,074 video recommendations made by YouTube. RESULTS: We found no evidence that YouTube promotes antivaccine content; the average share of antivaccine videos remained well below 6% at all steps in users' recommendation trajectories. However, the watch histories of users significantly affect video recommendations, suggesting that data from the application programming interface or from a clean browser do not offer an accurate picture of the recommendations that real users are seeing. Real users saw slightly more provaccine content as they advanced through their recommendation trajectories, whereas synthetic users were drawn toward irrelevant recommendations as they advanced. Rather than antivaccine content, videos recommended by YouTube are likely to contain health-related content that is not specifically related to vaccination. These videos are usually longer and contain more popular content. CONCLUSIONS: Our findings suggest that the common perception that YouTube's recommendation system acts as a "rabbit hole" may be inaccurate and that YouTube may instead be following a "blockbuster" strategy that attempts to engage users by promoting other content that has been reliably successful across the platform.

A Media Analysis of the COVID-19 Tobacco Sales Ban in South Africa.

The South African government introduced a nationwide lockdown in March 2020 to mitigate the spread of COVID-19. Among other restrictions, the government banned the sale of tobacco products. The ban lasted for nearly five months. We performed a Google search using the keywords smok*, puff*, lockdown, tobacco, and cigarette* for articles published in English from 23 March 2020 to 18 December 2020. This yielded 441 usable online media articles. We identified and categorised the main arguments made by proponents and opponents of the tobacco sales ban. Three themes were identified: medical, legal, and economic/financial. Legal aspects were covered in 48% of articles, followed by economic (34%), and medical aspects (18%). The media was generally ambivalent about the tobacco sales ban during the first five weeks of lockdown. Sentiment subsequently turned against the ban because the medical rationale was not well communicated by the government. There was limited empirical evidence of a link between smoking and contracting COVID-19, and the sales ban was ineffective since most smokers still purchased cigarettes. Policy framing in the media plays an important role in how the public receives the policy. Any future tobacco control policy intervention should be better considered, especially within the context that cigarettes are easily accessed on the illicit market in South Africa.

A randomized controlled simulation trial comparing video-assisted with telephone-assisted and unassisted cardiopulmonary resuscitation performed by non-healthcare university students.

Our randomized controlled simulation study aimed to compare the CPR quality, time-related factors, attitude and self-assessment of non-healthcare university students (aged 18-25) compared video-assisted (V-CPR, n = 50) with telephone-assisted (T-CPR, n = 49) and unassisted (U-CPR, n = 48) CPR in a simulation setting. Regarding to chest compression depth, no difference was found between the three groups (p = 0.065): 41.8 mm, SD = 9.9 in the V-CPR; 35.9 mm, SD = 11.6 in the T-CPR; and 39.4 mm, SD = 15.6 in the U-CPR group. The mean chest compression rate was the best in the V-CPR group (100.9 min-1, SD = 17.1) which was superior to the T-CPR (82.4 min-1, SD = 35.4; p = 0.005), and the U-CPR (84.2 min-1, SD = 30.6; p = 0.013) groups. The overall proportion of correct hand position was the highest in the V-CPR group (48, 96%), compared to the T-CPR (28, 57.1%; p = 0.001), and the U-CPR (34, 70.8%; p = 0.001) groups. V-CPR led to a delay in the time to the first chest compression compared with the U-CPR group (77.5 s, SD = 19.2 vs. 31.3 s, SD = 13.3, p < 0.001). Although V-CPR technology holds the potential to improve overall CPR quality, the importance of appropriate chest compression depth should be emphasized in training for laypeople and dispatchers, as well. Our study was registered at ClinicalTrials.gov (NCT05639868, 06/12/2022).