Navarro, Jose M Scheim, Ayden I Bauer, Greta R
Published in
Journal of Medical Internet Research
Background Virtual health care use has dramatically increased in response to the COVID-19 pandemic, raising the question of its potential role after the pandemic. For transgender (trans) and nonbinary (TNB) people, virtual care is promising because it may expand access to appropriate health care providers. However, emerging research indicates poten...
Chu, Cherry Nayyar, Dhruv Bhattacharyya, Onil Martin, Danielle Agarwal, Payal Mukerji, Geetha
Published in
Journal of medical Internet research
Virtual care use increased during the COVID-19 pandemic. The impact of that shift on patient and provider experiences is unclear. We evaluated patient and provider experiences with virtual visits across an academic, ambulatory hospital in Toronto, Canada and assessed predictors of positive experience with virtual care. Survey data were analyzed fro...
Rosario, Bedda Zhang, Andrew Patel, Mehool Rajmane, Amol Xie, Ning Weeraratne, Dilhan Alterovitz, Gil
Published in
Journal of medical Internet research
COVID-19 has been observed to be associated with venous and arterial thrombosis. The inflammatory disease prolongs hospitalization, and preexisting comorbidities can intensity the thrombotic burden in patients with COVID-19. However, venous thromboembolism, arterial thrombosis, and other vascular complications may go unnoticed in critical care sett...
Pithpornchaiyakul, Samerchit Naorungroj, Supawadee Pupong, Kittiwara Hunsrisakhun, Jaranya
Published in
Journal of Medical Internet Research
Background It is recommended that caregivers receive oral health education and in-person training to improve toothbrushing for young children. To strengthen oral health education before COVID-19, the 21-Day FunDee chatbot with in-person toothbrushing training for caregivers was used. During the pandemic, practical experience was difficult to implem...
Balki, Eric Hayes, Niall Holland, Carol
Published in
Journal of Medical Internet Research
Kim, Min Hyung Ryu, Un Hyoung Heo, Seok-Jae Kim, Yong Chan Park, Yoon Soo
Published in
Journal of Medical Internet Research
Background There has been an increasing demand for new technologies regarding infection control in hospital settings to reduce the burden of contact tracing. Objective This study aimed to compare the validity of a real-time locating system (RTLS) with that of the conventional contact tracing method for identifying high-risk contact cases associated...
Melton, Chad A White, Brianna M Davis, Robert L Bednarczyk, Robert A Shaban-Nejad, Arash
This study investigated and compared public sentiment related to COVID-19 vaccines expressed on two popular social media platforms, Reddit and Twitter, harvested from January 1, 2020, to March 1, 2022. To accomplish this task, we created a fine-tuned DistilRoBERTa model to predict sentiments of approximately 9.5 million Tweets and 70 thousand Reddi...
Jain, Shikha Dhaon, Serena R Majmudar, Shivani Zimmermann, Laura J Mordell, Lisa Walker, Garth Wallia, Amisha Akbarnia, Halleh Khan, Ali Bloomgarden, Eve
...
Published in
Journal of Medical Internet Research
Background Given the widespread and concerted efforts to propagate health misinformation on social media, particularly centered around vaccination during the pandemic, many groups of clinicians and scientists were organized on social media to tackle misinformation and promote vaccination, using a national or international lens. Although documenting...
Birati, Yosefa Yefet, Enav Perlitz, Yuri Shehadeh, Naim Spitzer, Sivan
Published in
Journal of Medical Internet Research
Background The prevalence of women diagnosed with gestational diabetes mellitus (GDM) is increasing dramatically. Mobile technologies to enhance patient self-management offer many advantages for women diagnosed with GDM. However, to our knowledge, although mobile health (mHealth) and telemedicine systems for GDM management exist, evidence on their ...
Al-Hussain, Ghada Shuweihdi, Farag Alali, Haitham Househ, Mowafa Abd-alrazaq, Alaa
Published in
Journal of Medical Internet Research
Background When investigating voice disorders a series of processes are used when including voice screening and diagnosis. Both methods have limited standardized tests, which are affected by the clinician’s experience and subjective judgment. Machine learning (ML) algorithms have been used as an objective tool in screening or diagnosing voice disor...
