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Behaviour Research and Therapy
journal homepage: www.elsevier.com/locate/brat
A randomized controlled trial of three smartphone apps for enhancing
public mental health
David Bakker
a,*
, Nikolaos Kazantzis
a,b
, Debra Rickwood
c
, Nikki Rickard
a,d
a
School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Australia
b
Cognitive Behaviour Therapy Research Unit, Monash University, Australia
c
Psychology Department, Faculty of Health, University of Canberra, Australia
d
Centre for Positive Psychology, University of Melbourne, Australia
ARTICLE INFO
Keywords:
Technology
Anxiety
Depression
Cognitive behavioural therapy
Randomized controlled trial
Mobile
ABSTRACT
Many smartphone applications (apps) for mental health (MHapps) are available to the public. However, few
have been the subject of a randomized controlled trial (RCT), and the change processes that are hypothesized to
mediate claimed effects have not been previously studied. This RCT compared the efficacy of three publicly
available MHapps to a waitlist control condition in a community sample, in which no MHapp was provided. The
three MHapps included cognitive behavioural therapy (CBT) toolkit app MoodKit, mood tracking app
MoodPrism, and CBT strategy app MoodMission. Participants were randomly allocated to each condition,
completed a baseline assessment, downloaded their allocated MHapp, and completed a second assessment 30
days later, with n = 226 included in final analyses (81% female; M age = 34 years). Compared to the control
condition, all MHapp groups experienced increases in mental wellbeing, MoodKit and MoodMission groups
experienced decreases in depression, and no groups experienced effects on anxiety. Mediated regressions re-
vealed that increasing coping self-efficacy, rather than emotional self-awareness or mental health literacy, was
the underlying process contributing to effects on mental health for all three MHapps. MHapps appear to be an
effective solution for improving public mental health, notably by improving users' confidence in their ability to
cope.
1. Introduction
Depression and anxiety disorders are highly prevalent, with de-
pression being the leading cause of global disease burden and disability
(World Health Organization, 2017). However, treatment access is
generally poor. While 18.1% of adults in the United States experience
an anxiety disorder every year, only 36.9% received treatment (Kessler,
Chiu, Demler, Merikangas, & Walters, 2005), and 4.3% are diagnosed
with a Major Depressive Episode, with 65.3% receiving treatment
(Ahrnsbrak, Bose, Hedden, Lipari, & Park-Lee, 2017).
Self-guided preventative interventions, classified under the broad
term “low-intensity interventions”, use fewer economic and clinical
resources which are predominantly self-guided and can be used for
preventative purposes (Bennett-Levy, Richards, & Farrand, 2010). Ex-
amples include workbooks, websites, and digital therapies, which can
be efficient and effective when core dimensions in psychopathology
common to both anxiety and depression are targeted (Barlow et al.,
2017). Self-guided interventions are part of a stepped-care approach,
which prioritizes “high intensity” psychological interventions (e.g.
psychotherapy and psychoactive medications) for those with the
greatest distress and clinical need, and “low intensity interventions” for
those who may not require one-on-one clinician support (van Straten,
Hill, Richards, & Cuijpers, 2015). However, emotional disorders con-
tinue to have high prevalence and represent significant public health
and global economic burden (Whiteford et al., 2013). Low-intensity
interventions show promise (Williams & Martinez, 2008), but new
modes of delivery including those that do not require clinician support
are required to increase their accessibility. Thus, smartphone applica-
tions (apps) for mental health (MHapps) represent a compelling new
delivery mode for self-guided psychological interventions in prevention
and stepped-care.
MHapps have a number of advantages over traditional intervention
paradigms, including financial affordability, anonymity, context and
geographic flexibility, and ease of feedback data collection for the in-
tervention developers (Vogl, Ratnaike, Ivancic, Rowley, & Chandy,
2016). However, as more MHapps become available to the public, so
https://doi.org/10.1016/j.brat.2018.08.003
Received 7 February 2018; Received in revised form 5 August 2018; Accepted 10 August 2018
*
Corresponding author.
E-mail address: david.bakker@monash.edu (D. Bakker).
Behaviour Research and Therapy 109 (2018) 75–83
Available online 11 August 2018
0005-7967/ © 2018 Elsevier Ltd. All rights reserved.
T