Palliative Care TikTok: Describing the Landscape and Explaining Social Media Engagement.

Background: Although palliative care programs are beneficial to patients and families, most of the public is unfamiliar with and underutilizes palliative services. TikTok, a fast-growing social media platform worldwide, allows users to share short live-recorded videos and could be used to educate the public about palliative care. Objective: This study characterized palliative care TikTok videos and determined characteristics associated with higher user engagement metrics (views, likes, comments, and shares). Methods: The investigators analyzed the content and engagement metrics of palliative care TikTok videos. Each video was coded for author type (health care professional, patient, caregiver, or other) and demographics, features, and themes. Negative binomial regression analyses identified whether author type and themes were associated with engagement statistics. Results: After screening 510 videos, 146 met criteria for analysis. The most prominent author types were health care professionals (55.5%), followed by patients (32.9%) and caregivers (7.5%). Authors were often female (71.2%) and played music (59.5%) while talking (45.9%). Themes were describing personal experiences (47.3%), educating (39.7%), addressing misconceptions (16.4%), responding to questions and comments (14.4%), and raising awareness (11.0%). Caregivers' videos were most likely to be viewed (p = 0.003) and liked (p < 0.001), whereas health care professionals' videos were most frequently shared (p = 0.01). Engagement was highest among videos describing personal experiences (views: p < 0.001, likes: p = 0.002, shares: p = 0.003) and educating (views: p = 0.005, likes: p = 0.002, comments: p = 0.02, shares: p < 0.001). Conclusion: TikTok provides an interactive platform for patients, professionals, and caregivers to share information and experiences about palliative care, making it potentially valuable for explaining palliative care to the public.

Development and acceptability of an educational video about a smoking cessation quitline for use in adult outpatient mental healthcare.

Tobacco use is a leading preventable cause of early mortality and is prevalent among adults with mental health diagnoses, especially in the southern USA. Increasing cessation resources in outpatient mental health care and targeting individuals most receptive to changing their behavior may improve cessation. Drawing on the transtheoretical model, our goals were to develop an educational video about the Louisiana Tobacco Quitline and evaluate its acceptability. We designed the video with knowledge derived from Louisiana-specific data (2016 Louisiana Adult Tobacco Survey, N = 6,469) and stakeholder feedback. Bivariate associations between demographic/tobacco-use characteristics and participants' stage of quitting (preparation phase vs. nonpreparation phase) were conducted, which informed design elements of the video. Four stakeholder advisory board meetings involving current smokers, mental health clinicians, and public health advocates convened to provide iterative feedback on the intervention. Our stakeholder advisory board (n = 10) and external stakeholders (n = 20) evaluated intervention acceptability. We found that 17.9% of Louisiana adults were current smokers, with 46.9% of them in the preparation phase of quitting. Using insights from data and stakeholders, we succeeded in producing a 2-min video about the Louisiana Tobacco Quitline which incorporated three themes identified as important by stakeholders: positivity, relatability, and approachability. Supporting acceptability, 96.7% of stakeholders rated the video as helpful and engaging. This study demonstrates the acceptability of combining theory, existing data, and iterative stakeholder feedback to develop a quitline educational video. Future research should examine whether the video can be used to reduce tobacco use.

Impact of the COVID-19 pandemic on mental health: Real-time surveillance using Google Trends.

In the wake of COVID-19, the capacity to track emerging trends in mental health symptoms and needs will guide public health responses at multiple ecological levels. Using Google Trends to track population-level mental health-related Google searches in the United States, this investigation identified pandemic-associated spikes in searches related to anxiety symptoms and remote treatments for anxiety, such as deep breathing and body scan meditation. As other discernable population-level changes in mental health have yet to emerge, continued surveillance is warranted. (PsycInfo Database Record (c) 2020 APA, all rights reserved).