Mental/Behavioral Health
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.
A flexible micro-randomized trial design and sample size considerations.
Using Telehealth to Improve Access to Gender-Affirming Care for BIPOC and Rural Gender-Diverse Youth
This research will develop and pilot test a platform called Technology-based Enhanced Gender Support that will allow for gender-affirming care to be delivered via telehealth, with a goal of improving access to this care for Black, Indigenous, or People of Color and rural gender-diverse youth.
Asynchronous telepsychiatry interviewer training recommendations: A model for interdisciplinary, integrated behavioral health care.
Associations between sleep duration and positive mental health screens during adolescent preventive visits in primary care.
Empower NICU - A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE)
This research will develop, evaluate, and test the efficacy of Empower NICU – A Bridge to Resources for Adjusting and Coping with Emotions (EmBRACE), a mobile health application designed to screen and monitor psychological symptoms in parents of infants hospitalized in the neonatal intensive care unit, identify those at risk, and connect parents with services, information, support, and resources.
"Our job is to be so temporary": Designing digital tools that meet the needs of care managers and their patients with mental health concerns.
Virtual Reality at the Point of Care to Increase Uptake of Medications for Opioid Use Disorder (MOUD) in the Emergency Department
This research is developing and testing VR-Choice, an immersive virtual reality experience designed to increase patient willingness to engage in shared decision-making for medications for opioid use disorder after being treated for an opioid-related overdose in the emergency department.
A Longitudinal Machine Learning Approach Providing Clinicians Timely Detection to Prevent Military Suicide
This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military service members and veterans, to assist clinicians in screening, evaluation, and timely intervention in suicide ideation and suicide attempts.