Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study.

Depression affects over 280 million people globally, yet many cases remain undiagnosed or untreated due to stigma and lack of awareness. Social media platforms like X (formerly Twitter) offer a way to monitor and analyze depression markers. This study analyzes Twitter data 90 days before and 90 days after a self-disclosed clinical diagnosis.

Racial and Demographic Disparities in Susceptibility to Health Misinformation on Social Media: National Survey-Based Analysis.

Background: Social media platforms have transformed the dissemination of health information, allowing for rapid and widespread sharing of content. However, alongside valuable medical knowledge, these platforms have also become channels for the spread of health misinformation, including false claims and misleading advice, which can lead to significant public health risks. Susceptibility to health misinformation varies and is influenced by individuals' cultural, social, and personal backgrounds, further complicating efforts to combat its spread.

Exploring Disparities in Healthcare Wearable Use among Cardiovascular Patients: Findings from a National Survey.

Background: Use of healthcare wearable devices holds significant potential for improving the prevention and management of cardiovascular diseases (CVD). However, we have limited knowledge on the actual use of wearable devices by CVD patients and the key factors associated with their use. This study aims to assess wearable device use and willingness to share health data among CVD patients, while identifying socio-demographic, health, and technology-related factors associated with wearable technology use.

Text-Mining and Video Analytics of COVID-19 Narratives Shared by Patients on YouTube.

This study explores how individuals who have experienced COVID-19 share their stories on YouTube, focusing on the nature of information disclosure, public engagement, and emotional impact pertaining to consumer health. Using a dataset of 186 YouTube videos, we used text mining and video analytics techniques to analyze textual transcripts and visual frames to identify themes, emotions, and their relationship with viewer engagement metrics. Findings reveal eight key themes: infection origins, symptoms, treatment, mental well-being, isolation, prevention, government directives, and vaccination.

Telemedicine in the Post-Pandemic Period: Understanding Patterns of Use and the Influence of Socioeconomic Demographics, Health Status, and Social Determinants.

The rapid expansion of telemedicine during the COVID-19 pandemic has transformed health care delivery. However, it remains unclear whether telemedicine utilization is equitable across different demographic groups and whether the high levels of adoption during the pandemic have persisted in the post-pandemic period. This study investigates telemedicine use and patterns of use in the initial phases of the post-pandemic period and explores the impact of socioeconomic factors, social determinants of health, and patients' health-related factors on telemedicine utilization.

Investigating the Role of Nutrition in Enhancing Immunity During the COVID-19 Pandemic: Twitter Text-Mining Analysis.

Background: The COVID-19 pandemic has brought to the spotlight the critical role played by a balanced and healthy diet in bolstering the human immune system. There is burgeoning interest in nutrition-related information on social media platforms like Twitter. There is a critical need to assess and understand public opinion, attitudes, and sentiments toward nutrition-related information shared on Twitter.

Face time with physicians: How do patients assess providers in video-visits?

Introduction: The COVID-19 pandemic has triggered a massive acceleration in the use of virtual and video-visits. As more patients and providers engage in video-visits over varied digital platforms, it is important to understand how patients assess their providers and the video-visit experiences. We also need to examine the relative importance of the factors that patients use in their assessment of video-visits in order to improve the overall healthcare experience and delivery.

Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts.

Background: A global rollout of vaccinations is currently underway to mitigate and protect people from the COVID-19 pandemic. Several individuals have been using social media platforms such as Twitter as an outlet to express their feelings, concerns, and opinions about COVID-19 vaccines and vaccination programs. This study examined COVID-19 vaccine-related tweets from January 1, 2020, to April 30, 2021, to uncover the topics, themes, and variations in sentiments of public Twitter users.

Use of wearable healthcare devices by older adults and their willingness to share health data with providers.

Wearable healthcare devices offer tremendous promise to effectively track and improve the well-being of older adults. Yet, little is known about the use of wearable devices by older adults. Drawing upon a national survey in US with 1481 older adults, we examine the use of wearable healthcare devices and the key predictors of use viz.

Unfulfilled promises of health information exchange: What inhibits ambulatory clinics from electronically sharing health information?

Purpose: This study seeks to understand the key inhibitors for health information exchange (HIE) by ambulatory (outpatient) clinics. We examine the key technological, organizational and environmental factors that inhibit an ambulatory clinic from electronically exchanging health information with external clinics and hospitals.

Methods: We utilize survey data from 1285 ambulatory clinics in the US state of Minnesota.

Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey.

Background: Despite the growing popularity of wearable health care devices (from fitness trackes such as Fitbit to smartwatches such as Apple Watch and more sophisticated devices that can collect information on metrics such as blood pressure, glucose levels, and oxygen levels), we have a limited understanding about the actual use and key factors affecting the use of these devices by US adults.

Objective: The main objective of this study was to examine the use of wearable health care devices and the key predictors of wearable use by US adults.

Methods: Using a national survey of 4551 respondents, we examined the usage patterns of wearable health care devices (use of wearables, frequency of their use, and willingness to share health data from a wearable with a provider) and a set of predictors that pertain to personal demographics (age, gender, race, education, marital status, and household income), individual health (general health, presence of chronic conditions, weight perceptions, frequency of provider visits, and attitude towards exercise), and technology self-efficacy using logistic regression analysis.

Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.

Background: With restrictions on movement and stay-at-home orders in place due to the COVID-19 pandemic, social media platforms such as Twitter have become an outlet for users to express their concerns, opinions, and feelings about the pandemic. Individuals, health agencies, and governments are using Twitter to communicate about COVID-19.

Objective: The aims of this study were to examine key themes and topics of English-language COVID-19-related tweets posted by individuals and to explore the trends and variations in how the COVID-19-related tweets, key topics, and associated sentiments changed over a period of time from before to after the disease was declared a pandemic.

Key Factors Affecting Ambulatory Care Providers' Electronic Exchange of Health Information With Affiliated and Unaffiliated Partners: Web-Based Survey Study.

Background: Despite the potential benefits of electronic health information exchange (HIE) to improve the quality and efficiency of care, HIE use by ambulatory providers remains low. Ambulatory providers can greatly improve the quality of care by electronically exchanging health information with affiliated providers within their health care network as well as with unaffiliated, external providers.

Objective: This study aimed to examine the extent of electronic HIE use by ambulatory clinics with affiliated providers within their health system and with external providers, as well as the key technological, organizational, and environmental factors affecting the extent of HIE use within and outside the health system.

An Overlap of Angiolymphoid Hyperplasia with Eosinophilia and Kimura's Disease: Successful Treatment of Skin Lesions with Cryotherapy.

Kimura's disease is characterized by a triad of painless subcutaneous masses, eosinophilia in the peripheral blood and in tissues with marked increase in Serum Ig E. Angiolymphoid hyperplasia with eosinophilia (ALHE) manifests with the presence of dermal papules and nodules. Unique clinical, histopathological, and biochemical findings are noted in these individual entities.