Technology dRiven Enhancement to Engage & Connect

NCT ID: NCT06910683

Last Updated: 2025-04-04

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

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

60 participants

Study Classification

INTERVENTIONAL

Study Start Date

2026-03-31

Study Completion Date

2028-03-31

Brief Summary

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This study will investigate whether an intervention that includes remotely delivered therapy sessions and a digital mental health app, compared to only remotely delivered therapy reduces late-life depression

Detailed Description

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Depression in mid- and late-life is characterized with reduced functions of the reward system. The investigators designed a psychotherapy that aims to improve reward functions through engagement in pleasurable activities and in turn reduce depression. Prior work has shown that this therapy is acceptable and reduces depression. This study examines whether a hybrid intervention that combines clinician remotely-delivered psychotherapy, and a novel app named TREE-Connect, reduces late life depression. This TREE-Connect app uses a machine learning algorithm to promote adherence to therapy (completion of therapeutic homework) in late-life depression and increase cost-effectiveness and reach of treatment to older adults. This randomized controlled trials will test whether the hybrid intervention (clinician-delivered psychotherapy + app), compared to a condition that includes solely clinician-delivered therapy is acceptable and reduces late-life depression.

Conditions

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Depression

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Outcome Assessors

Study Groups

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TREE-Connect + Clinician-delivered psychotherapy

Participants will receive a hybrid intervention that includes clinician-delivered psychotherapy and a TREE-Connect app

Group Type EXPERIMENTAL

TREE-Connect

Intervention Type BEHAVIORAL

TREE-Connect is a mental health app that aims to increase engagement in rewarding activities

Clinician-delivered psychotherapy

Intervention Type BEHAVIORAL

Clinician-delivered psychotherapy is delivered remotely and aimed to increase engagement in rewarding activities

Clinician-delivered psychotherapy

Participants will receive clinician-delivered psychotherapy without the TREE-Connect app

Group Type ACTIVE_COMPARATOR

Clinician-delivered psychotherapy

Intervention Type BEHAVIORAL

Clinician-delivered psychotherapy is delivered remotely and aimed to increase engagement in rewarding activities

Interventions

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TREE-Connect

TREE-Connect is a mental health app that aims to increase engagement in rewarding activities

Intervention Type BEHAVIORAL

Clinician-delivered psychotherapy

Clinician-delivered psychotherapy is delivered remotely and aimed to increase engagement in rewarding activities

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Adults aged 50-80
* Capacity to provide consent for research assessment and treatment.
* Significant depression, i.e., PHQ-9 ≥10 (moderate severity of symptoms)
* Mini Mental Status Exam (MMSE) equal or greater than a score of 23.
* Off antidepressants or on stable dose for 8 weeks and do not intend to change the dose in the next 10 weeks, without individual psychotherapy services during the study period.

Exclusion Criteria

* Intent or plan to commit suicide in the near future.
* Inability to communicate in English.
* History or presence of psychiatric diagnoses other than major depressive disorder without psychotic features, generalized anxiety disorder, specific phobia, or antisocial or borderline personality disorder.
* Neurological disorders (dementias, amnestic and multidomain Mild Cognitive Impairment, Parkinson's disease, epilepsy, etc.).
* Acute or severe medical illness in the past 3 months (metastatic cancer, multiple sclerosis, decompensated cardiac, liver or kidney failure, major surgery, stroke or myocardial infarction, cardiac, renal, or respiratory failure; severe chronic obstructive pulmonary disease, etc.) that may be the primary cause depressive symptoms, influence brain systems of interest, or impact ability to participate in the study.
* For MRI only: Contraindications to MRI scanning including cardiac pacemaker, heart valve replacement, vascular stent, insulin pump, cochlear implant, any other metallic biomedical implant contraindicating to MRI, and claustrophobia.
Minimum Eligible Age

50 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Weill Medical College of Cornell University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Nili Solomonov, PhD

Role: PRINCIPAL_INVESTIGATOR

Weill Medical College of Cornell University

Samprit Banerjee, PhD

Role: PRINCIPAL_INVESTIGATOR

Weill Medical College of Cornell University

Locations

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Weill Cornell Medicine

New York, New York, United States

Site Status

Countries

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United States

Central Contacts

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Delaney Callaghan, BA

Role: CONTACT

1-781-999-3731

Maddy Schier, BA

Role: CONTACT

1-484-354-1131

Facility Contacts

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Nili Solomonov, PhD

Role: primary

212-746-5886

Other Identifiers

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24-04027370

Identifier Type: -

Identifier Source: org_study_id

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