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BackgroundHealth professions students use social media to communicate with other students and health professionals, discuss career plans or coursework, and share the results of research projects or new information. These platforms allow students to share thoughts and perceptions that are not disclosed in formal education settings. Twitter provides an excellent window through which health professions educators can observe students’ sociocultural and learning needs. However, despite its merits, cyberincivility on Twitter among health professions students has been reported. Cyber means using electronic technologies, and incivility is a general term for bad manners. As such, cyberincivility refers to any act of disrespectful, insensitive, or disruptive behavior in an electronic environment. ObjectiveThis study aims to describe the characteristics and instances of cyberincivility posted on Twitter by self-identified health professions students. A further objective of the study is to analyze the prevalence of tweets perceived as inappropriate or potentially objectionable while describing patterns and differences in the instances of cyberincivility posted by those users. MethodsWe used a cross-sectional descriptive Twitter data mining method to collect quantitative and qualitative data from August 2019 to February 2020. The sample was taken from users who self-identified as health professions students (eg, medicine, nursing, dental, pharmacy, physician assistant, and physical therapy) in their user description. Data management and analysis were performed with a combination of SAS 9.4 for descriptive and inferential statistics, including logistic regression, and NVivo 12 for descriptive patterns of textual data. ResultsWe analyzed 20 of the most recent tweets for each account (N=12,820). A total of 639 user accounts were analyzed for quantitative analysis, including 280 (43.8%) medicine students and 329 (51.5%) nursing students in 22 countries: the United States (287/639, 44.9%), the United Kingdom (197/639, 30.8%), unknown countries (104/639, 16.3%), and 19 other countries (51/639, 8.0%). Of the 639 accounts, 193 (30.2%) were coded as having instances of cyberincivility. Of these, 61.7% (119/193), 32.6% (63/193), and 5.7% (11/193) belonged to students in nursing, medicine, and other disciplines, respectively. Among 502 instances of cyberincivility identified from 641 qualitative analysis samples, the largest categories were profanity and product promotion. Several aggressive or biased comments toward other users, politicians, or certain groups of people were also found. ConclusionsCyberincivility is a multifaceted phenomenon that must be considered in its complexity if health professions students are to embrace a culture of mutual respect and collaboration. Students’ perceptions and reports of their Twitter experiences offer insights into behavior on the web and the evolving role of cyberspace, and potentially problematic posts provide opportunities for teaching digital professionalism. Our study indicates that there is a continued need to provide students with guidance and training regarding the importance of maintaining a professional persona on the web.

Background: Given the wide range of metaverse technologies, there is a need to synthesize evidence of metaverse pedagogy used effectively for nursing education. Purpose: This umbrella review synthesized systematic reviews on the use of metaverse in nursing education. Methods: A search was performed in MEDLINE, EMBASE, CINAHL, Web of Science, and Education Full Text. This umbrella review was conducted with reference to the Joanna Briggs Institute (JBI) Reviewer's Manual and reported using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The JBI Critical Appraisal Checklist for Systematic Review was used to assess the quality of studies. Results: The final review comprised 15 articles published between 2013 and 2021, most of which indicate that metaverse interventions support increased knowledge, self-confidence, engagement, satisfaction, and performance in nursing students. Several articles in this review presented mixed findings related to certain learning outcomes. Conclusion: This umbrella review supports the viability and effectiveness of metaverse in nursing education. [ABSTRACT FROM AUTHOR]

This study examines the effectiveness of interventions for decreasing the fear of falling by synthesizing the results of individual studies of fear of falling prevention. The mean weighted effect sizes (MWES) of six studies are computed. The overall MWES is .21 (N = 957: 95% CI .068-.362). Results indicate that interventions are effective in reducing the fear of falling or increasing fall efficacy. The MWES is .249, .024. and .418 for the combined intervention, exercise intervention only, and hip protector groups, respectively. The MWES of the 3 months or less group was .000, and the 4-months group was .240. The MWES is .022, .228, and .418 for the facility-based, community-based, and home-based intervention groups, respectively. Overall, interventions were effective in decreasing fear of falling and increasing tall efficacy. Results suggest that the best outcome is obtained after 4 months, indicating that interventions need some time to obtain their effects. Keywords: fear of falling; falls; elderly; intervention; meta-analysis