Telehealth Depression Treatments for Older Adults

April 26, 2021 updated by: Namkee Choi, University of Texas at Austin

Telehealth Treatments for Depression With Low-Income Homebound Seniors

This study aims to find an effective and sustainable approach to reducing disparities in accessing mental health services for an underserved and growing population group of low-income, racially diverse, homebound older adults. It will compare two aging-service integrated, teledelivered depression treatments for these seniors. One model is short-term problem-solving therapy by licensed clinicians; the second model is self-care management support by trained lay advisors. The findings are expected to create a foundation of information for guiding the implementation of acceptable, effective, and sustainable depression care within widely available aging-service infrastructures.

Study Overview

Status

Completed

Conditions

Detailed Description

The long-term objective of the proposed study is to improve access to depression treatments for low-income, racially diverse homebound seniors, a population experiencing significant disparities in mental health care due to their homebound and low-income status. Specific aims are to compare the acceptability, clinical effectiveness, treatment cost, and budget impact of the two teledelivered treatment delivery models: problem-solving therapy (PST) by licensed clinicians and self-care management (SCM) support by trained lay mental health workers/advisors. The interventionists will be integrated into an aging-service agency; hence, integrated tele-PST (IT-PST) ad integrated tele-SCM (IT-SCM). Although tele-psychotherapy is likely to be an effective mental health service delivery model for the target population, the current and projected shortage of such clinicians and the costs of deploying highly trained professionals pose barriers to this model's widespread real-world adoption and sustainability. A more plausible option may indeed have to utilize trained lay mental health workers. The study participants will be 276 low-income, racially diverse homebound seniors who are served by a home-delivered meal (HDM) program and other aging-service agencies in Austin, Tex. In a 3-arm, pragmatic clinical trial with randomization prior to consent (a preferred public health approach), the participants will receive five sessions of IT-PST, five sessions of IT-SCM, or five telephone check-in calls (for the usual care-UC-group). Our first hypothesis is that IT-PST and IT-SCM will be equally acceptable to the participants. Our second hypothesis is that both IT-PST and IT-SCM will be more effective than UC in reducing depressive symptoms, although IT-PST may be more effective than IT-SCM. Symptoms will be assessed with the 24-item Hamilton Depression Rating Scale (HAMD) at 12, 24, and 36 weeks after baseline. Additional outcomes will be depression-free days (DFDs) and disability (WHODAS 2.0). Our third hypothesis is that IT-SCM will have a lower delivery cost than IT-PST, but both IT-PST and IT-SCM will be more cost-effective than usual care. The analyses include (a) comparisons of delivery costs between IT-PST and IT-SCM; (b) assessment of cost-effectiveness (CEA) based on DFDs and health-related quality adjusted life-year measured by EuroQol-5 (EQ-5D); and (3) budget impact (BIA) of IT-PST relative to IT-SCM. Both CEA and BIA will employ a hybrid public program perspective of the AoA and the Centers for Medicare and Medicaid. Public health significance of this study is that the data will help aging-service providers and funders assess respective strengths and weaknesses of each model as a sustainable approach to providing depression care for an underserved and growing population group and improving their access to evidence-based mental health services. (The terms older adults and seniors are used interchangeably because the latter term is frequently used in aging services.)

Study Type

Interventional

Enrollment (Actual)

277

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Texas
      • Austin, Texas, United States, 78712-0358
        • University of Texas at Austin

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

50 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • (1) HAMD >14; (2) age > 49; (3) English or Spanish Speaking; and (4) Non-Hispanic White, Black, or Hispanic

Exclusion Criteria:

  • (1) antidepressant intake < 9 weeks; (2) high suicide risk; (3) probable dementia;( 4) bipolar disorder; and (5) substance use

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: IT-PST
IT-PST refers to problem-solving therapy that will be tele-delivered by licensed mental health clinicians co-located in an aging-service agency (Meals on Wheels and More).
5 sessions of problem-solving therapy by licensed mental health clinicians co-located in an aging-service agency (Meals on Wheels and More)
Experimental: IT-SCM
IT-SCM refers to self-care management support that will be tele-delivered by trained lay advisers (TLAs) co-located in an aging-service agency (Meals on Wheels and More).
5 sessions of self-care management support by trained lay advisers co-located in an aging-service agency (Meals on Wheels and More)
No Intervention: Wait-list control (Usual Care or UC)
Participants who will serve as controls with telephone safety calls

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Hamilton Rating Scale for Depression
Time Frame: 36 weeks
24-item depression scale
36 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
World Health Organization Disability Assessment Schedule
Time Frame: 36 weeks
12-item disability assessment
36 weeks
Euro-Quol
Time Frame: 36 weeks
measure of depression free days
36 weeks
Cornell Service Index
Time Frame: 36 week
measure of physical and mental health, and social service use
36 week

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Namkee G Choi, PhD, University of Texas at Austin

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2016

Primary Completion (Actual)

December 1, 2020

Study Completion (Actual)

December 1, 2020

Study Registration Dates

First Submitted

November 6, 2015

First Submitted That Met QC Criteria

November 6, 2015

First Posted (Estimate)

November 9, 2015

Study Record Updates

Last Update Posted (Actual)

April 28, 2021

Last Update Submitted That Met QC Criteria

April 26, 2021

Last Verified

April 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 1R01MD009675 (U.S. NIH Grant/Contract)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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