The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health

要旨

Mental health symptoms are commonly discovered in primary care. Yet, these settings are not set up to provide psychological treatment. Digital interventions can play a crucial role in stepped care management of patients' symptoms where patients are offered a low intensity intervention, and treatment evolves to incorporate providers if needed. Though digital interventions often use smartphone and wearable sensor data, little is known about patients' desires to use this data to manage mental health symptoms. In 10 interviews with patients with symptoms of depression and anxiety, we explored their: symptom self-management, current and desired use of sensor data, and comfort sharing such data with providers. Findings support the use digital interventions to manage mental health, yet they also highlight a misalignment in patient needs and current efforts to use sensors. We outline considerations for future research, including extending design thinking to wraparound services that may be necessary to truly reduce healthcare burden.

著者
Kaylee Payne. Kruzan
Northwestern University, Chicago, Illinois, United States
Ada Ng
Northwestern University, Evanston, Illinois, United States
Colleen Stiles-Shields
University of Illinois at Chicago, Chicago, Illinois, United States
Emily G. Lattie
Northwestern University, Chicago, Illinois, United States
David C.. Mohr
Northwestern University, Chicago, Illinois, United States
Madhu Reddy
University of California, Irvine, Irvine, California, United States
論文URL

https://doi.org/10.1145/3544548.3581209

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Building Bridges

Hall E
6 件の発表
2023-04-26 18:00:00
2023-04-26 19:30:00