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

Journal of Medical Internet Research
Jingbo MengMi Zhang

Abstract

Today, college students are dealing with depression at some of the highest rates in decades. As the primary mental health service provider, university counseling centers are limited in their capacity and efficiency to provide mental health care due to time constraints and reliance on students' self-reports. A mobile behavioral-sensing platform may serve as a solution to enhance the efficiency and accessibility of university counseling services. The main objectives of this study are to (1) understand the usefulness of a mobile sensing platform (ie, iSee) in improving counseling services and assisting students' self-management of their depression conditions, and (2) explore what types of behavioral targets (ie, meaningful information extracted from raw sensor data) and feedback to deliver from both clinician and students' perspectives. We conducted semistructured interviews with 9 clinicians and 12 students with depression recruited from a counseling center at a large Midwestern university. The interviews were 40-50 minutes long and were audio recorded and transcribed. The interview data were analyzed using thematic analysis with an inductive approach. Clinician and student interviews were analyzed separately for comparison. The ...Continue Reading

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Citations

Nov 1, 2019·Proceedings of the ACM on Human-computer Interaction·Ada NgMadhu Reddy

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Software Mentioned

MONARCA
Nvivo
iSee

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