Journal of medical Internet research
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J. Med. Internet Res. · Nov 2020
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, effective methods to meet these needs are lacking. ⋯ We externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons. These models identified at-risk patients and uncovered underlying relationships that predicted outcomes.
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J. Med. Internet Res. · Nov 2020
A Patient Self-Checkup App for COVID-19: Development and Usage Pattern Analysis.
Clear guidelines for a patient with suspected COVID-19 infection are unavailable. Many countries rely on assessments through a national hotline or telecommunications, but this only adds to the burden of an already overwhelmed health care system. In this study, we developed an algorithm and a web application to help patients get screened. ⋯ We developed an expert-opinion-based algorithm and web-based application for screening patients. This innovation can be helpful in circumstances where information on a novel disease is insufficient and may facilitate efficient medical resource allocation.
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J. Med. Internet Res. · Nov 2020
Randomized Controlled TrialPersonalized Web-Based Weight Loss Behavior Change Program With and Without Dietitian Online Coaching for Adults With Overweight and Obesity: Randomized Controlled Trial.
The effect of computer- or human-delivered personalized feedback on the effectivess of web-based behavior change platforms for weight loss is unclear. ⋯ The web-based behavior change programs with computer- and human-delivered personalized feedback led to greater, albeit small-magnitude, weight loss within 24 weeks. Improvement in multiple dietary habits, but not physical activity, were also greater in the personalized programs compared with the nonpersonalized one. The human-delivered personalized feedback by the online dietitian coach increased user engagement with the program and was associated with a significantly higher chance of clinically meaningful weight loss.
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J. Med. Internet Res. · Nov 2020
Telemedicine Usage Among Urologists During the COVID-19 Pandemic: Cross-Sectional Study.
Prior to the COVID-19 pandemic, urology was one of the specialties with the lowest rates of telemedicine and videoconferencing use. Common barriers to the implementation of telemedicine included a lack of technological literacy, concerns with reimbursement, and resistance to changes in the workplace. In response to the COVID-19 pandemic declared in March 2020, the delivery of urological services globally has quickly shifted to telemedicine to account for the mass clinical, procedural, and operative cancellations, inadequate personal protective equipment, and shortage of personnel. ⋯ This is the first study to quantify the use, usability, and pervading interest in telemedicine among urologists during the COVID-19 pandemic. In the face of this pandemic, urologists' usage of telemedicine nearly tripled, demonstrating their ability to adopt and adapt telemedicine into their practices, but barriers involving the technology itself are still preventing many from utilizing it despite increasing interest.
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J. Med. Internet Res. · Nov 2020
The COVID-19 Pandemic: A Pandemic of Lockdown Loneliness and the Role of Digital Technology.
The focus of this perspective is on lockdown loneliness, which we define as loneliness resulting from social disconnection as a result of enforced social distancing and lockdowns during the COVID-19 pandemic. We also explore the role of digital technology in tackling lockdown loneliness amid the pandemic. ⋯ Nonetheless, some key issues such as access to and knowledge of digital technology tools must be considered. In addition, the involvement of all key stakeholders (family and friends, social care providers, and clinicians and health allied professionals) should be ensured.