Evidence map›Paper›PMID 41125447›Full record

Trial reportPsycho-oncology2025

Proactive Identification and Digital Mental Health Intervention for the Treatment of Depression Among Individuals With Likely Incurable Cancer: A Pilot Randomized Clinical Trial.

Evan M Graboyes, Olivia Levins, Reid DeMass, Nivetha Baskar, Noelle Natale, Katherine R Sterba, Jihad S Obeid, Shivani Sharma, Elizabeth G Hill, Jennifer Dahne

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Psycho-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05932810 (Evaluation of a Proactive Identification and Digital Mental Health Intervention Approach to Address Unmet Psychosocial Needs of Individuals Living With Cancer), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05932810 nacompletednot on this map

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

TypeinterventionalSponsorMedical University of South CarolinaRan2023 to 2024Enrolled30ConditionsDepression, Depressive Symptoms, CancerArmsBehavioral Activation Therapy app, Treatment as Usual
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Evan M GraboyesDepartment of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID 0000-0003-3766-468X
Olivia LevinsHollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Reid DeMassDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Nivetha BaskarHollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Noelle NataleHollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Katherine R SterbaDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Jihad S ObeidDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Shivani SharmaHollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Elizabeth G HillDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Jennifer DahneHollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.

Funding

Translational Science Laboratory Shared ResourceP30CA138313 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND N. DUBOIS · 2009 to 2026
$42.7M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Evaluation of a Proactive Identification and Digital Mental Health Intervention Approach to Address Unmet Psychosocial Needs of Individuals Living with Likely Incurable CancerR01CA281740 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Jennifer Renee Dahne, Evan Michael Graboyes · 2024 to 2026
$3.2M
Development and testing of a behavioral activation mobile therapy for elevated depressive symptomsR42MH108219 · NIMH · MOUNTAINPASS TECHNOLOGY, LLC · PI DAHNE, JENNIFER RENEE · 2020 to 2022
$2.2M
Development and testing of a behavioral activation mobile therapy for elevated depressive symptomsR41MH108219 · NIMH · MOUNTAINPASS TECHNOLOGY, LLC · PI FELTON, JULIA W · 2015 to 2015
$225k
NCATS NIH HHS UL1 TR000062NCI NIH HHS P30 CA138313NCI NIH HHS R01 CA281740NIMH NIH HHS R41 MH108219NIMH NIH HHS R42 MH108219
6 · The paper itself

Abstract

backgroundAlthough depression is prevalent and has significant consequences among individuals living with likely incurable cancer (ILLIC), optimal methods of identifying and treating depression in this population remain unknown.

aimsTo evaluate a paradigm of (1) proactive identification (ID) (i.e., remotely and asynchronously from clinical encounters) of depression among ILLIC and (2) digital mental health intervention (DMHI) for depression treatment.

methodsIn this decentralized randomized clinical trial, ILLIC with elevated depressive symptoms were proactively identified using electronic health record data and randomized 2:1 to a DMHI-based Behavioral Activation treatment or usual care (UC) depression treatment. Measures of feasibility (accrual, retention) and acceptability (engagement) were described; depression severity (change in PHQ-9 scores through 4 weeks post-randomization) was modeled with a generalized estimating equation.

resultsAmong 88 ILLIC who completed screening, 30 were eligible and randomized to the trial. No patients were lost to follow-up or withdrew; 80% of patients randomized to proactive ID + DMHI used the app through 4 weeks. Proactive ID + DMHI improved depression from baseline to 4 weeks relative to proactive ID + UC (mean difference in change from baseline to week 4 = -2.7; 90% CI: -4.9 to -0.4). At 4 weeks, the odds of a clinical response (PHQ-9 decrease of ≥ 5 points) was 9.0-fold higher for patients in proactive ID + DMHI relative to proactive ID + UC (OR 9.0; 90% CI: 1.1-74.2).

conclusionsA proactive ID + DMHI approach to identifying and treating depression among ILLIC is feasible, acceptable, and potentially efficacious. These promising data support conducting a large efficacy trial evaluating this approach.

trial registrationClinicalTrials.gov identifier: NCT05932810.

Indexed as

DepressionNeoplasmsAdultAgedElectronic Health RecordsFeasibility StudiesFemaleHumansMaleMiddle AgedMobile ApplicationsPilot ProjectsTelemedicinecancerdepressiondigital mental healthmetastaticoncologyrandomized clinical trialsurvivor

Identifiers

PMID41125447
PMCPMC12544733

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.