NCT04055155

Technology-enabled Task-sharing for Depression in Primary Care

Discovering the Capacity of Primary Care Frontline Staff to Deliver a Low-Intensity Technology-Enhanced Intervention to Treat Geriatric Depression

• Status: Withdrawn
• Phase: —
• Study type: Observational
• Enrollment: 0 (actual)
• Sponsor: University of Washington · Academic / Other
• Sex: All
• Age: 60 Years
• Healthy volunteers: Not accepted

Summary

This study will explore and test the feasibility, acceptability, usability, and preliminary effectiveness of a technology-enabled intervention for depression using task-sharing in primary care. We will a) discover barriers and facilitators to task-sharing by frontline primary care staff; b) design an implementation strategy to support task-sharing to deliver a technology-enabled intervention for depression; and c) conduct a small open-label usability trial of the technology-enabled intervention for depression.

Detailed description

Older adults with depression typically present to primary care rather than specialty mental health treatment and are often un- or undertreated, as the demand for mental health services is greater than the supply of trained providers. Technology is one method to improve access to care by making evidence-based psychosocial interventions (EBPIs) readily accessible. A second method comes from global mental health research, demonstrating that task-sharing can equip non-specialists to provide effective mental health care. This study combines these two approaches, exploring how technology-enhanced EBPI could be used by frontline primary care staff (e.g., nurses, medical assistants) to expand workforce capacity to deliver acceptable, sustainable, and effective treatment for depression. Specifically, we will use task-sharing to deliver a mobile Motivational Physical Activity Targeted Intervention (MPATI), which is based on behavioral activation for depression and uses wearable accelerometer technology to trigger personalized activity goal monitoring. This proposal uses the Discover, Design/Build, Test (DDBT) framework, which leverages user-centered design and implementation science to discover implementation barriers to using task-sharing to deliver MPATI in primary care, to design an implementation strategy to support MPATI delivery, and to conduct a pilot usability trial to test the implementation strategy with the most suitable frontline staff.

Conditions

• Depression
• Depression in Old Age

Timeline

• Start date: 2019-09-01
• Primary completion: 2020-07-01
• Completion: 2020-08-31
• First posted: 2019-08-13
• Last updated: 2023-05-10

Locations

1 site across 1 country: United States