Evidence map›Paper›PMID 31208690›Full record

ArticleBehavior therapy2019

Pilot Randomized Trial of a Self-Help Behavioral Activation Mobile App for Utilization in Primary Care.

Jennifer Dahne, C W Lejuez, Vanessa A Diaz, Marty S Player, Jacob Kustanowitz, Julia W Felton, Matthew J Carpenter

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Behavior therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 10 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  6. A Systematic Review of Mobile Apps as an Adjunct to Psychological Interventions for Emotion Dysregulation.International journal of environmental research and public health · 2023
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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

7 authors.

Jennifer DahneMedical University of South Carolina. Electronic address: dahne@musc.edu.
C W LejuezUniversity of Kansas.
Vanessa A DiazMedical University of South Carolina.
Marty S PlayerMedical University of South Carolina.
Jacob KustanowitzMountainPass Technology.
Julia W FeltonMichigan State University.
Matthew J CarpenterMedical University of South Carolina.

Funding

DRUG ABUSE TRAINING PROGRAMT32DA007288 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Christopher W Cowan, Rachel Penrod-Martin · 1991 to 2026
$11.8M
Interdisciplinary Women's Health Research at MUSCK12HD055885 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCGINTY, JACQUELINE F. · 2007 to 2021
$7.2M
Development and Testing of a Depression-Specific Behavioral Activation Mobile App Paired with Nicotine Replacement Therapy Sampling for Smoking Cessation Treatment Via Primary CareK23DA045766 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DAHNE, JENNIFER RENEE · 2018 to 2022
$1.0M
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
NICHD NIH HHS K12 HD055885NIDA NIH HHS K23 DA045766NIDA NIH HHS T32 DA007288NIMH NIH HHS R41 MH108219
6 · The paper itself

Abstract

Mobile technologies can be leveraged to meet the need for evidence-based psychological depression treatment via primary care. The purpose of the present study was to preliminarily examine the feasibility and efficacy of a self-help brief behavioral activation mobile application (app; "Moodivate") for depressive symptoms among adults treated via primary care. Participants (N = 52) were recruited from primary care practices between January and December 2017 and were randomized 2:2:1 to receive (a) Moodivate, (b) an active control cognitive-behavioral therapy-based mobile app ("MoodKit"), or (c) treatment as usual (TAU; no app). Participants completed assessments of depressive symptoms weekly for 8 weeks. App analytics data were captured to examine Moodivate feasibility (analytics unavailable for control app). Moodivate participants on average had 46.76 (SD = 30.10) app sessions throughout the trial duration, spent 3.50 (2.76) minutes using the app per session, and spent 120.76 (101.02) minutes using the app in total throughout the trial. Nearly 70% of Moodivate participants continued to use the app 1 month after trial enrollment and 50% at the end of the 8-week follow-up period. A generalized estimating equation model examining change in depressive symptoms over time by treatment condition indicated a significant interaction between time and treatment condition (χ

Indexed as

Cognitive Behavioral TherapyMobile ApplicationsAdultDepressionFemaleHealth BehaviorHumansMalePilot ProjectsPrimary Health Caredepressionmobile healthprimary care

Identifiers

PMID31208690
PMCPMC6582985

What OpenQuestion holds

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Registered trials

None linked

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.