Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study (Preprint)

Abstract

Background: Depression is the leading health issue on college campuses in the U.S. The increasing depression prevalence has resulted in record numbers of students seeking mental health services in colleges and universities across the country. Unfortunately, as the primary mental health service provider, university counseling centers are limited in their capacity and efficiency due to time constraints and reliance on student patients' selfreports. We propose to develop a mobile behavioral sensing platform, named iSee, to enhance the efficiency, accessibility, and scalability of university counseling services.