No Transfer Without Validation: A Data Sharing Framework Use Case.

Availability and accessibility are important preconditions for using real-world patient data across organizations. To facilitate and enable the analysis of data collected at a large number of independent healthcare providers, syntactic- and semantic uniformity need to be achieved and verified. With this paper, we present a data transfer process implemented using the Data Sharing Framework to ensure only valid and pseudonymized data is transferred to a central research repository and feedback on success or failure is provided. Our implementation is used within the CODEX project of the German Network University Medicine to validate COVID-19 datasets at patient enrolling organizations and securely transfer them as FHIR resources to a central repository.

Crises information dissemination through social media in the UK and Saudi Arabia: A linguistic perspective.

This study investigates health-promoting messages in British and Saudi officials' social-media discourse during the Coronavirus Disease 2019 (COVID-19) Pandemic. Taking discourse as a constructivist conception, we examined the crisis-response strategies employed by these officials on social media, and the role of such strategies in promoting healthy behaviors and compliance with health regulations. The study presents a corpus-assisted discourse analysis of the tweets of a Saudi health official and a British health official that focuses on keyness, speech acts, and metaphor. We found that both officials utilized clear communication and persuasive rhetorical tactics to convey the procedures suggested by the World Health Organization. However, there were some differences in how the two officials used speech acts and metaphors to achieve their goals. The British official used empathy as the primary communication strategy, while the Saudi official emphasized health literacy. The British official also used conflict-based metaphors such as war and gaming, whereas the Saudi official used metaphors that reflected life as a journey interrupted by the pandemic. Despite these differences, both officials utilized directive speech acts to tell audiences the procedures they should follow to achieve the desired conclusion of healing patients and ending the pandemic. In addition, rhetorical questions and assertions were used to direct people to perform certain behaviors favored. Interestingly, the discourse used by both officials contained characteristics of both health communication and political discourse. War metaphors, which were utilized by the British Health official, are a common feature in political discourse as well as in health-care discourse. Overall, this study highlights the importance of effective communication strategies in promoting healthy behaviors and compliance with health regulations during a pandemic. By analyzing the discourse of health officials on social media, we can gain insights into the strategies employed to manage a crisis and effectively communicate with the public.

YouTube and COVID-19 vaccines: A mini scoping review.

YouTube is a highly popular social media platform capable of widespread information dissemination about COVID-19 vaccines. The aim of this mini scoping review was to summarize the content, quality, and methodology of studies that analyze YouTube videos related to COVID-19 vaccines. COVIDENCE was used to screen search results based on inclusion and exclusion criteria. PRISMA was used for data organization, and the final list of 9 articles used in the mini review were summarized and synthesized. YouTube videos included in each study, total number of cumulative views, results, and limitations were described. Overall, most of the videos were uploaded by television and internet news media and healthcare professionals. A variety of coding schemas were used in the studies. Videos with misleading, inaccurate, or anti-vaccination sentiment were more often uploaded by consumers. Officials seeking to encourage vaccination may utilize YouTube for widespread reach and to debunk misinformation and disinformation.

COVID-19 Vaccine-Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis.

BACKGROUND: The COVID-19 vaccine is an effective tool in the fight against the COVID-19 outbreak. As the main channel of information dissemination in the context of the epidemic, social media influences public trust and acceptance of the vaccine. The rational application of health behavior theory is a guarantee of effective public health information dissemination. However, little is known about the application of health behavior theory in web-based COVID-19 vaccine messages, especially from Chinese social media posts. OBJECTIVE: This study aimed to understand the main topics and communication characteristics of hot papers related to COVID-19 vaccine on the WeChat platform and assess the health behavior theory application with the aid of health belief model (HBM). METHODS: A systematic search was conducted on the Chinese social media platform WeChat to identify COVID-19 vaccine-related papers. A coding scheme was established based on the HBM, and the sample was managed and coded using NVivo 12 (QSR International) to assess the application of health behavior theory. The main topics of the papers were extracted through the Latent Dirichlet Allocation algorithm. Finally, temporal analysis was used to explore trends in the evolution of themes and health belief structures in the papers. RESULTS: A total of 757 papers were analyzed. Almost all (671/757, 89%) of the papers did not have an original logo. By topic modeling, 5 topics were identified, which were vaccine development and effectiveness (267/757, 35%), disease infection and protection (197/757, 26%), vaccine safety and adverse reactions (52/757, 7%), vaccine access (136/757, 18%), and vaccination science popularization (105/757, 14%). All papers identified at least one structure in the extended HBM, but only 29 papers included all of the structures. Descriptions of solutions to obstacles (585/757, 77%) and benefit (468/757, 62%) were the most emphasized components in all samples. Relatively few elements of susceptibility (208/757, 27%) and the least were descriptions of severity (135/757, 18%). Heat map visualization revealed the change in health belief structure before and after vaccine entry into the market. CONCLUSIONS: To the best of our knowledge, this is the first study to assess the structural expression of health beliefs in information related to the COVID-19 vaccine on the WeChat public platform based on an HBM. The study also identified topics and communication characteristics before and after the market entry of vaccines. Our findings can inform customized education and communication strategies to promote vaccination not only in this pandemic but also in future pandemics.

Equitable data sharing in epidemics and pandemics.

BACKGROUND: Rapid data sharing can maximize the utility of data. In epidemics and pandemics like Zika, Ebola, and COVID-19, the case for such practices seems especially urgent and warranted. Yet rapidly sharing data widely has previously generated significant concerns related to equity. The continued lack of understanding and guidance on equitable data sharing raises the following questions: Should data sharing in epidemics and pandemics primarily advance utility, or should it advance equity as well? If so, what norms comprise equitable data sharing in epidemics and pandemics? Do these norms address the equity-related concerns raised by researchers, data providers, and other stakeholders? What tensions must be balanced between equity and other values? METHODS: To explore these questions, we undertook a systematic scoping review of the literature on data sharing in epidemics and pandemics and thematically analyzed identified literature for its discussion of ethical values, norms, concerns, and tensions, with a particular (but not exclusive) emphasis on equity. We wanted to both understand how equity in data sharing is being conceptualized and draw out other important values and norms for data sharing in epidemics and pandemics. RESULTS: We found that values of utility, equity, solidarity, and reciprocity were described, and we report their associated norms, including researcher recognition; rapid, real-time sharing; capacity development; and fair benefits to data generators, data providers, and source countries. The value of utility and its associated norms were discussed substantially more than others. Tensions between utility norms (e.g., rapid, real-time sharing) and equity norms (e.g., researcher recognition, equitable access) were raised. CONCLUSIONS: This study found support for equity being advanced by data sharing in epidemics and pandemics. However, norms for equitable data sharing in epidemics and pandemics require further development, particularly in relation to power sharing and participatory approaches prioritizing inclusion. Addressing structural inequities in the wider global health landscape is also needed to achieve equitable data sharing in epidemics and pandemics.

Use of YouTube by academic medical centres during the COVID-19 pandemic: an observational study in Taiwan.

OBJECTIVES: YouTube has been of immense importance in conveying essential information on COVID-19 and promoting the latest healthcare policies during the outbreak. However, there have been few studies that have focused on how healthcare organisations have used YouTube to communicate with the public and increase their awareness during the pandemic, as well as its effectiveness. DESIGN: A nationwide observational study. SETTINGS: We analysed all YouTube video posts culled from the official accounts of all medical centres in Taiwan from December 2019 to August 2021. PARTICIPANTS: All YouTube videos were categorised as either COVID-19 or non-COVID-19 related. The COVID-19-related videos were divided into five categories, and detailed metrics for each video were recorded. For comparison, we also surveyed all YouTube video posts placed by the Ministry of Health and Welfare and the Taiwan Centers for Disease Control (TCDC). RESULTS: We analysed official YouTube channels from 17 academic medical centres, involving a total of 943 videos. We found a relationship between the quantity of YouTube videos uploaded by the TCDC and the trend of confirmed cases (Pearson's correlation coefficient was 0.25, p=0.02). Data from private hospitals revealed that they posted more COVID-19 videos (103 vs 56) when compared with public hospitals. In addition, multivariate linear regression showed that more 'likes' (estimate 41.1, 95% CI 38.8 to 43.5) and longer lengths (estimate 10 800, 95% CI 6968.0 to 14 632.0) of COVID-19-related videos correlated significantly with an increased number of 'views'. CONCLUSIONS: This nationwide observational study, performed in Taiwan, demonstrates well the trend and effectiveness of academic medical centres in promoting sound healthcare advice regarding COVID-19 through YouTube due to the channel's easy accessibility and usability.

Outline of a project for nursing health education on the Instagram social network.

OBJECTIVES: to characterize the outline of a project for health education and its contributions to the propagation of information on the Instagram social network. METHODS: exploratory and descriptive research on an Instagram profile called "@resenhadasaude";. Data collection: from July 23, 2020, to April 21, 2021. Interaction metrics were generated on 36 posts. Simple and percentage statistical analysis were applied. RESULTS: there are 1,016 followers in Brazil, with a 206.02% growth. The largest audience is teenagers, young people, and women, with a gender difference of 41.8%. The greatest interest was about covid-19, sexual health, and drugs. Followers' misconceptions reinforce the need for the dissemination of quality information. CONCLUSIONS: Instagram metrics point to the project's validation in terms of audience interest, mostly adolescents and youth. Instagram proved to be powerful for educational purposes and information dissemination, as well as an autonomous field for nursing.

Sharing of Individual Patient-Level Data by Trialists of Randomized Clinical Trials of Pharmacological Treatments for COVID-19.

This study describes access to individual patient-level data from randomized clinical trials during the COVID-19 pandemic to determine whether the intent to share what was reported in the registry, publication, or preprint was consistent with actual data access.

Dispute simmers over who first shared SARS-CoV-2's genome.

Scientists suggest that GISAID, a prominent database of virus sequences, is rewriting pandemic history.

Share all SARS-CoV-2 data immediately.

When the first cases of human infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were reported from Wuhan, China, in December 2019, there was quick agreement across scientific and health communities that understanding the facts about its emergence would help prevent future outbreaks. Never could I have imagined the degree of politicization that would cloud this quest. Over the past 39 months, while reported deaths from COVID-19 increased to nearly 7 million worldwide, science on the virus's origins has gotten smaller while the politics surrounding this question has grown ever bigger. Last month, the World Health Organization (WHO) learned that scientists in China possessed data on viral samples from Wuhan that had been gathered in January 2020, which should have been shared immediately-not 3 years later-with the global research community. The lack of data disclosure is simply inexcusable. The longer it takes to understand the origins of the pandemic, the harder it becomes to answer the question, and the more unsafe the world becomes.

YouTube as an information source in paediatric dentistry education: Reliability and quality analysis.

INTRODUCTION: In the era of Covid 19 pandemic, the audio-visual contents of YouTube™ could be an information source for dental students, practitioners, and patients. The aim of this study was to evaluate the quality, content, and demographics of YouTube™ videos about pediatric dentistry for the education of dentistry students. MATERIALS AND METHODS: A search on YouTube™ was performed using the keywords "pediatric dentistry", "pediatric dental treatments", "primary teeth treatments" in Turkish. The first 50 videos selected for each keyword were evaluated. Parameters of the videos such as the number of views, the days since the upload, the duration of the video, and the number of likes and dislikes were recorded. Videos are categorized by upload source and content categories as an academic, dentist, physician, patient, reporter, and other, and average points are obtained for the Journal of American Medical Association (JAMA) benchmark. The normality of the data was evaluated with the Shapiro-Wilk test. The data were not distributed normally, compared with the Kruskal Wallis test between source and content groups. The Dunn's Post Hoc was used to determine to find out which group caused the difference. The Spearman Correlation coefficient was calculated to assess a possible correlation between JAMA, GQS, and VPI scores. All significance levels were set at 0.05. RESULTS: The duplicates and non-related ones were removed from 150 videos and remaining 119 videos were evaluated. Most of the videos were uploaded by the dentists and other categories, and mainly the videos were uploaded for patient education. JAMA score was 1 out of 4 for 55 videos, 2 for 63 videos, and 3 for only 1 video. When the video source groups were compared, the difference was statistically significant (p = 0.01). The difference between academic and patient groups (p = 0.007); the dentist and patient groups were statistically significant (p = 0.02). CONCLUSION: YouTube platform does not contain videos of appropriate quality to support the education of dentistry students in pediatric dentistry in Turkish.

Intergenerational Ties and COVID-19 Contagion: A Study on European Adults Aged 50 Years and Older Using SHARE Data.

OBJECTIVES: Intergenerational coresidence and interdependence among family members are salient forms of family support. However, they can also likely increase social and physical contact and thus potential coronavirus disease 2019 (COVID-19) transmission, especially among older adults. This study makes an original contribution to the literature by investigating which individual and household characteristics are associated with the risk of COVID-19 contagion among community-dwelling adults aged 50 years or older living in 27 European countries. We accounted for multiple indicators of intergenerational relationships and conducted a gendered analysis. METHODS: The data came from the Survey of Health, Ageing and Retirement in Europe (SHARE), including 2 waves of the SHARE Corona Survey. Using linear probability models, the risk of experiencing COVID-19 outcomes was predicted by different family structures and intergenerational relationship indicators. RESULTS: While intergenerational coresidence was not associated with the risk of COVID-19, a higher frequency of face-to-face contact with adult children was associated with a lower risk of COVID-19 among mothers. This result stresses the importance of social support from adult children during the COVID-19 pandemic. However, we also showed that grandparents who took care of grandchildren were at a higher risk of COVID-19. Additionally, childless individuals had a lower risk of COVID-19 during the second wave of the pandemic. DISCUSSION: This study highlights the importance of intergenerational relationships in pandemic studies and underscores the need to examine how intergenerational ties might be a source of social support. Implications for policy interventions are discussed in the final section.

A preregistered vignette experiment on determinants of health data sharing behavior Willingness to donate sensor data, medical records, and biomarkers.

The COVID-19 pandemic has spotlighted the importance of high-quality data for empirical health research and evidence-based political decision-making. To leverage the full potential of these data, a better understanding of the determinants and conditions under which people are willing to share their health data is critical. Building on the privacy theory of contextual integrity, the privacy calculus, and previous findings regarding different data types and recipients, we argue that established social norms shape the acceptance of novel practices of data collection and use. To investigate the willingness to share health data, we conducted a preregistered vignette experiment. The scenarios experimentally varied the vignette dimensions by data type, recipient, and research purpose. While some findings contradict our hypotheses, the results indicate that all three dimensions affected respondents' data sharing decisions. Additional analyses suggest that institutional and social trust, privacy concerns, technical affinity, altruism, age, and device ownership influence the willingness to share health data.