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. 2019 Jul;50(4):817-827.
doi: 10.1016/j.beth.2018.12.003. Epub 2018 Dec 19.

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

Jennifer Dahne  1 , C W Lejuez  2 , Vanessa A Diaz  3 , Marty S Player  3 , Jacob Kustanowitz  4 , Julia W Felton  5 , Matthew J Carpenter  3
Affiliations

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

Jennifer Dahne et al. Behav Ther. 2019 Jul.

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 (χ2 = 42.21, df = 14, p < .001). As compared to TAU, participants in both app conditions evidenced significant decreases in depressive symptoms over time, and these treatment gains were sustained across the trial period. These results preliminarily indicate feasibility of Moodivate as well as efficacy of both Moodivate and MoodKit for the treatment of depression among adults recruited via primary care. Future studies should focus on larger-scale examinations of treatment efficacy and effectiveness across primary care settings.

Keywords: depression; mobile health; primary care.

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Conflict of interest statement

The authors report no other actual or potential conflicts of interest that may bias the present work.

Figures

Figure 1
Figure 1
CONSORT Flow Diagram
Figure 2
Figure 2
BDI-II Depressive Symptoms by Treatment Condition
See this image and copyright information in PMC

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References

    1. Arean PA, Hallgren KA, Jordan JT, Gazzaley A, Atkins DC, Heagerty PJ, & Anguera JA (2016). The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial. Journal of Medical Internet Research, 18(12), e330. doi:10.2196/jmir.6482 - DOI - PMC - PubMed
    1. Beck AT, Steer RA, & Brown GK (1996). Beck Depression Inventory-II (BDI-II) San Antonio, TX: Psychological Corporation.
    1. Ben-Zeev D, Schueller SM, Begale M, Duffecy J, Kane JM, & Mohr DC (2015). Strategies for mHealth research: lessons from 3 mobile intervention studies. Administration and Policy in Mental Health, 42(2), 157–167. doi:10.1007/s10488-014-0556-2 - DOI - PMC - PubMed
    1. Bry LJ, Chou T, Miguel E, & Comer JS (2018). Consumer Smartphone Apps Marketed for Child and Adolescent Anxiety: A Systematic Review and Content Analysis. Behavior Therapy, 49(2), 249–261. doi:10.1016/j.beth.2017.07.008 - DOI - PMC - PubMed
    1. Chan S, Torous J, Hinton L, & Yellowlees P (2015). Towards a Framework for Evaluating Mobile Mental Health Apps. Telemedicine Journal and e-Health, 21(12), 1038–1041. doi:10.1089/tmj.2015.0002 - DOI - PubMed

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