Technology-enabled Task-sharing for Depression in Primary Care

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

WITHDRAWN

Study Classification

OBSERVATIONAL

Study Start Date

2019-09-01

Study Completion Date

2020-08-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Treatment for Depression in the Primary Care Setting

NCT00055328

Depression

COMPLETED PHASE4

Implementation Science Approach to Enhancing Depression Treatment in Collaborative Depression Care Settings ( DepCare )

NCT05085886

Depressive Symptoms

COMPLETED NA

Efficacy Study of a Computer Decision Support System to Treat Depression

NCT00551083

Depressive Disorder

COMPLETED NA

E-mental Health Support for Rural Areas

NCT02200367

Depression

COMPLETED NA

Feasibility of Depression Care Management by E-mail

NCT00755235

Depression

COMPLETED NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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

See the medical conditions and disease areas that this research is targeting or investigating.

Depression Depression in Old Age

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Staff/Provider end-users

Testing usability of a technology-enabled behavioral intervention for depression among provider end-users in primary care.

No interventions assigned to this group

Patient participants

Testing acceptability, feasibility, and preliminary effectiveness of a technology-enabled behavioral intervention for depression among patients with depression in primary care.

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

Clinics:

1. have at least 1 full-time registered nurse (RN) and/or medical assistant (MA) on staff
2. include older adults on their patient panels.

Clinic administrators

1. have an administrative or leadership role in the clinic
2. have been employed in their current role for at least 6 months.

Frontline staff

1. provide care as RN, MA, case manager, behavioral health consultant, or similar role identified by Practice Champion
2. be employed at the participating clinic for at least 6 months.

Patients

1. be ≥65 years of age
2. report moderate to moderately severe depressive symptoms based on a PHQ-9 score of 10-20
3. own or have access to a smartphone
4. have internet or cellular data plan
5. receive medical clearance from their primary care provider to participate in unstructured physical activity.

Exclusion Criteria

1. current suicidality
2. severe vision or hearing impairment
3. pronounced cognitive impairment
4. use of assistive devices that would impede physical activity.

Minimum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No