IMPACT (IMproving Proactive Approaches for Cancer Survivors' Mental Health Treatment) (IMPACT)

May 19, 2026 updated by: Jennifer Dahne, Medical University of South Carolina

Evaluation of a Proactive Identification and Digital Mental Health Intervention Approach to Address Unmet Psychosocial Needs of Individuals Living With Likely Incurable Cancer

The purpose of this research study is to evaluate a mobile application (app) for depression treatment called "Moodivate" among cancer survivors. Moodivate was developed by our research team to assist with the treatment of depressed mood.

Participants will be randomly assigned to either download the mobile app, "Moodivate", or not. Approximately 2/3 of participants enrolled will receive the mobile app and the remaining 1/3 will not.

All participants will complete electronic questionnaire measures throughout the study period. Questionnaires will assess symptoms of depression, as well as your experiences using Moodivate and participating in this trial. Participation in this study will take about 12 weeks, beginning today.

Participation in this study may help in the treatment of future cancer survivors. The greatest risks of this study include frustration, worsening of emotional distress, data breach, and/or loss of confidentiality. Alternative treatments include contacting your primary care provider or your oncology care team to discuss other available treatments for depressed mood.

Study Overview

Detailed Description

Individuals living with likely incurable cancer (ILLIC) are a heterogeneous, growing subpopulation of cancer survivors who live with cancer as a chronic relapsing disease. As a result of their transitions through multiple lines of cancer therapy and prognostic uncertainty, ILLIC have unique survivorship care needs. Principal among these is the need for depression treatment. Up to half of ILLIC report depressive symptoms with negative sequalae including lower quality of life, reduced adherence to anti-cancer therapies, suicidal ideation, and desire for hastened death. Numerous trials and meta-analyses have documented that evidence-based psychosocial treatment improves depression outcomes for ILLIC. However, multilevel barriers, including transportation issues, stigma, and a scarcity of oncology mental health providers, limit access. Thus, ILLIC need feasible, accessible evidence-based depression treatment options3.

Consistent with Commission on Cancer accreditation standards, short depression screeners (e.g., PHQ-2) are routinely administered in oncology settings with results recorded in structured Electronic Health Record (EHR) fields. Despite widespread screening adoption, treatment referral rates remain low (10-50%) across cancer centers. To address this depression screening vs. treatment referral gap, screening data can be used to proactively (i.e., remotely, outside an encounter) link survivors in need of depression treatment to scalable options. While depression screening data can be readily used for proactive identification (ID), as noted by NCI, there is a critical need to develop methods to identify and enumerate ILLIC. Data necessary to determine curability likelihood (e.g., advanced stage, metastatic), are typically recorded in unstructured EHR fields, necessitating labor-intensive, manual chart review to identify ILLIC. To realize the goal of delivering scalable evidence-based depression care for ILLIC, accurate, automated approaches to identify ILLIC are needed.

Self-guided digital mental health interventions (DMHIs) can be paired with proactive ID to create a scalable depression treatment delivery model. Our team recently developed "Moodivate" as a DMHI-based approach to deliver Behavioral Activation, an evidence-based first-line depression treatment for cancer survivors. In a pilot that informs this R01, we: 1) gathered stakeholder feedback and tailored Moodivate for the unique needs of ILLIC, 2) developed infrastructure and refined the approach for proactive ID of ILLIC with depression, and 3) conducted a pilot RCT (N=15) to evaluate feasibility, acceptability, and preliminary efficacy of a proactive ID + DMHI approach. In our RCT, ILLIC with depressive symptoms were proactively identified via structured (depression) and unstructured (ILLIC) EHR data, remotely enrolled, and randomized to proactive ID + DMHI (Moodivate tailored for ILLIC) or proactive ID + usual care (UC). Our preliminary data show that this care delivery model is feasible (60% of eligible patients accrued; Moodivate mean rating of excellent on the System Usability Scale), acceptable (70% used Moodivate continuously for one month), and may improve depression (40% reported a clinically meaningful improvement). Importantly, a sustainable treatment model must also address chronic evidence-to-practice gaps. Thus, implementation outcomes and determinants of the proactive ID + DMHI approach must be concurrently evaluated across multiple care delivery levels to enhance future adoption.

Study Type

Interventional

Enrollment (Estimated)

279

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 Contact

  • Name: Jennifer Dahne, Ph.D.
  • Phone Number: 843-876-2280
  • Email: dahne@musc.edu

Study Contact Backup

Study Locations

    • South Carolina
      • Charleston, South Carolina, United States, 29425
        • Recruiting
        • Medical University of South Carolina
        • Contact:
          • Jennifer Dahne, PhD
          • Phone Number: 843-876-2280
          • Email: dahne@musc.edu

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Age > 18 years
  • ILLIC (as determined during manual chart review)
  • Elevated depressive symptoms, defined as a score of ≥ 8 on the PHQ-9
  • Current owner of an iOS- or Android-compatible smartphone
  • Willingness to utilize a mobile app for the treatment of depressed mood (response of "yes" on yes/no item)
  • Have a valid e-mail address that is checked regularly or have regular access to text messages (to access follow-up assessments)
  • English language fluency

Exclusion Criteria:

  • Current suicidal ideation at study screening, defined as a response greater than or equal to 1 on item nine of the PHQ-9
  • Severe cognitive impairment that precludes completion of informed consent. For the purposes of assessing eligibility, this criterion is operationalized as:
  • Prior diagnosis of dementia, or Major Neurocognitive Disorder indicated either via self-report or in the EHR; or
  • Self-report of cognitive difficulties that impair functional independence

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
Other: Treatment as Usual
Participants in the treatment as usual group will be provided educational material about mood management available via the EHR with the suggestion to discuss questions with their oncology provider. Participants will be asked to complete questionnaire measures weekly for 8 weeks with a final follow up at 12 weeks.
Participants will be provided educational material about mood management available via the EHR with the suggestion to discuss questions with their oncology provider. Participants will be asked to complete questionnaire measures weekly for 8 weeks with a final follow up at week 12.
Experimental: Moodivate
Participants randomized to the Moodivate condition will be instructed to utilize Moodivate regularly, at least once per day, for the treatment of depressed mood among cancer survivors. Participants in the Moodivate group will receive a download code to download the Moodivate mobile application. Moodivate is a mobile app for individuals with elevated symptoms of depression. Within the app, users identify values, create activities, schedule activities, and rate mood daily. Participants will be asked to complete questionnaire measures weekly for 8 weeks with a final follow up at week 12.
Moodivate focuses on tracking daily activities, recording daily mood, and identifying new activities to complete that may help improve mood. Participants will be asked to complete questionnaire measures weekly for 8 weeks, with a final follow-up questionnaire at 12 weeks following study enrollment.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Depression
Time Frame: 12 weeks
Change in the Patient Health Questionnaire (PHQ-9) score from baseline. The PHQ-9 scoring is 1-27 where 1-4 is minimal depression, 5-9 is mild depression, 10-14 is moderate depression, 15-19 is moderately severe depression, and 20-27 is severe depression.
12 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Anxiety Symptoms
Time Frame: 12 weeks
Change in the Hospital Anxiety and Depression Scale, Anxiety subscale (HADS-A) score from baseline. Scoring is on a scale from 0-21 where 0-7 = Normal, 8-10 = Borderline abnormal (borderline case), and 11-21 = Abnormal (case).
12 weeks
Change in Quality of Life
Time Frame: 12 weeks
Change in the Functional Assessment of Cancer Therapy-General (FACT-G7) score from baseline. The scoring is 0-28 using a 5 point likert scale where the a higher score indicates a better the quality of life.
12 weeks
Clinical Response Rate
Time Frame: 12 weeks
The proportion of patients with a clinically meaningful improvement in depressive symptoms (decrease of ≥5 points on the Patient Health Questionnaire assessment) from baseline to each time point
12 weeks

Collaborators and Investigators

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

October 28, 2024

Primary Completion (Estimated)

September 1, 2028

Study Completion (Estimated)

September 1, 2028

Study Registration Dates

First Submitted

August 30, 2024

First Submitted That Met QC Criteria

August 30, 2024

First Posted (Actual)

September 3, 2024

Study Record Updates

Last Update Posted (Actual)

May 22, 2026

Last Update Submitted That Met QC Criteria

May 19, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • Pro00137447
  • 1R01CA281740-01A1 (U.S. NIH Grant/Contract)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

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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