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Courtney Rees Lyles
9 records found
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Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning
Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinical Trial
Background: Digital and mobile health interventions using personalization via reinforcement learning algorithms have the potential to reach large number of people to support physical activity and help manage diabetes and depression in daily life. Objective: The Diabetes and Menta
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Ratings and experiences in using a mobile application to increase physical activity among university students
Implications for future design
University students have low levels of physical activity and are at risk of mental health disorders. Mobile apps to encourage physical activity can help students, who are frequent smartphone-users, to improve their physical and mental health. Here we report students’ qualitative
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Daily Motivational Text Messages to Promote Physical Activity in University Students
Results From a Microrandomized Trial
Background: Low physical activity is an important risk factor for common physical and mental disorders. Physical activity interventions delivered via smartphones can help users maintain and increase physical activity, but outcomes have been mixed. Purpose: Here we assessed the ef
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Developing messaging content for a physical activity smartphone app tailored to low-income patients
User-centered design and crowdsourcing approach
Background: Text messaging interventions can be an effective and efficient way to improve health behavioral changes. However, most texting interventions are neither tested nor designed with diverse end users, which could reduce their impact, and there is limited evidence regardin
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Conducting internet-based visits for onboarding populations with limited digital literacy to an mhealth intervention
Development of a patient-centered approach
Background: The COVID-19 pandemic has propelled patient-facing research to shift to digital and telehealth strategies. If these strategies are not adapted for minority patients of lower socioeconomic status, health inequality will further increase. Patient-centered models of care
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Adaptive learning algorithms to optimize mobile applications for behavioral health
Guidelines for design decisions
Objective: Providing behavioral health interventions via smartphones allows these interventions to be adapted to the changing behavior, preferences, and needs of individuals. This can be achieved through reinforcement learning (RL), a sub-area of machine learning. However, many c
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Promoting physical activity through conversational agents
Mixed methods systematic review
Background: Regular physical activity (PA) is crucial for well-being; however, healthy habits are difficult to create and maintain. Interventions delivered via conversational agents (eg, chatbots or virtual agents) are a novel and potentially accessible way to promote PA. Thus, i
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Digital health, including the use of mobile health apps, telemedicine, and data analytics to improve health systems, has surged during the COVID-19 pandemic. The social and economic fallout from COVID-19 has further exacerbated gender inequities, through increased domestic violen
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