Publications by authors named "Haley McCalpin"
Article Synopsis
- HCW anxiety and depression increased during the pandemic, leading to the rise of digital mental health platforms like Cobalt that provide online assessments and access to resources.
- This study analyzed the use of Cobalt within a large health system to see if there was any connection between platform usage and COVID-19 impact over three years.
- The findings showed a high volume of anonymous user sessions and assessments on Cobalt, but no significant link was found between COVID-19 case numbers and the platform's use or assessment results.
Purpose: The purpose of this study was to characterize COVID-19 content posted by users and disseminated via TikTok, a social media platform that has become known largely as an entertainment platform for viral video-sharing. We sought to capture how TikTok videos posted during the initial months of the COVID pandemic changed over time as cases accelerated.
Methods: This study is an observational analysis of sequential TikTok videos with #coronavirus from January to March 2020.
Objective: Previous studies indicate that patients' satisfaction with mental health care is correlated with both treatment outcomes and quality of life. The aims of this study were to describe online reviews of mental health treatment facilities, including key themes in review content, and to evaluate the correlation between narrative review themes, facility characteristics, and review ratings.
Methods: United States National Mental Health Services Survey (N-MHSS) facilities were linked to corresponding Yelp pages, created between March 2007 and September 2019.
Digital health and technologies are essential to curbing the novel coronavirus 2019 (COVID-19) pandemic especially with shelter-in-place and social distancing orders. Epidemiologists and public health officials are tapping into frequently used technologies like wearables, digital devices, digital and social media data to detect and validate COVID-19 symptoms throughout the pandemic, especially during early stages when symptoms were evolving. In this article, we review how digital technologies and social media platforms can identify and inform our understanding of COVID-19 pandemic surveillance and recovery efforts.
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- * The analysis revealed that super-utilizers tend to express confusion, negativity, self-reflection, and a desire for help more frequently compared to a matched control group.
- * Findings suggest that understanding these online behaviors can inform targeted interventions that provide social support to super-utilizers, potentially enhancing community care services.