Introduction: The use of data from wearable sensors, smartphones, and apps holds promise as a clinical decision-making tool in health and mental health in primary care medicine. The aim of this study was to determine provider perspectives about the utility of these data for building digitally based decision-making tools.
Methods: This mixed quantitative and qualitative cross-sectional survey of a convenience sample of primary-care clinicians at Kaiser Permanente Northwest was conducted between April and July 2019 online via Institute for Translational Health Sciences' Research Electronic Data Capture.
Objectives: This study examined the emotional distress and loneliness during COVID-19 and the roles of resiliency and activities.
Design: A cross-sectional national survey.
Setting: Amazon Mechanical Turk (mTurk) and Prolific Research Platforms.
Int Conf Pervasive Comput Technol Healthc
May 2020
Digital psychiatry is a rapidly growing area of research. Mobile assessment, including passive sensing, could improve research into human behavior and may afford opportunities for rapid treatment delivery. However, retention is poor in remote studies of depressed populations in which frequent assessment and passive monitoring are required.
View Article and Find Full Text PDFImportance: Using social media to recruit participants is a common and cost-effective practice. Willingness to participate (WTP) in biomedical research is a function of trust in the scientific team, which is closely tied to the source of funding and institutional connections.
Objective: To determine whether WTP and willingness to share social media data are associated with the type of research team and online recruitment platform.