Abstract
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 these 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.
| Original language | English (US) |
|---|---|
| Title of host publication | CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450394215 |
| DOIs | |
| State | Published - Apr 19 2023 |
| Event | 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: Apr 23 2023 → Apr 28 2023 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Conference
| Conference | 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 |
|---|---|
| Country/Territory | Germany |
| City | Hamburg |
| Period | 4/23/23 → 4/28/23 |
Funding
This work was funded by the National Institute for Mental Health (T32MH115882, P50MH119029, and K08MH125069).
Keywords
- anxiety
- depression
- digital mental health
- mobile phone app
- primary care
- self-management
- sensing
- tracking
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design