Literature DB >> 28641609

A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people.

M Dubad1, C Winsper1, C Meyer1, M Livanou1, S Marwaha1.   

Abstract

BACKGROUND: Mobile mood-monitoring applications are increasingly used by mental health providers, widely advocated within research, and a potentially effective method to engage young people. However, little is known about their efficacy and usability in young populations.
METHOD: A systematic review addressing three research questions focused on young people: (1) what are the psychometric properties of mobile mood-monitoring applications; (2) what is their usability; and (3) what are their positive and negative clinical impacts? Findings were synthesised narratively, study quality assessed and compared with evidence from adult studies.
RESULTS: We reviewed 25 articles. Studies on the psychometric properties of mobile mood-monitoring applications were sparse, but indicate questionable to excellent internal consistency, moderate concurrent validity and good usability. Participation rates ranged from 30% to 99% across studies, and appeared to be affected by methodological factors (e.g. payments) and individual characteristics (e.g. IQ score). Mobile mood-monitoring applications are positively perceived by youth, may reduce depressive symptoms by increasing emotional awareness, and could aid in the detection of mental health and substance use problems. There was very limited evidence on potential negative impacts.
CONCLUSIONS: Evidence for the use of mood-monitoring applications in youth is promising but limited due to a lack of high-quality studies. Future work should explicate the effects of mobile mood-monitoring applications on effective self-regulation, clinical outcomes across disorders and young people's engagement with mental health services. Potential negative impacts in this population should also be investigated, as the adult literature suggests that application use could potentially increase negativity and depression symptoms.

Entities:  

Keywords:  Ecological momentary assessment; mental health; mhealth; mobile application; mood; mood monitoring; young people

Mesh:

Year:  2017        PMID: 28641609     DOI: 10.1017/S0033291717001659

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  27 in total

Review 1.  Review of Use of Asynchronous Technologies Incorporated in Mental Health Care.

Authors:  Steven Chan; Luming Li; John Torous; David Gratzer; Peter M Yellowlees
Journal:  Curr Psychiatry Rep       Date:  2018-08-28       Impact factor: 5.285

Review 2.  Digital apothecaries: a vision for making health care interventions accessible worldwide.

Authors:  Ricardo F Muñoz; Denise A Chavira; Joseph A Himle; Kelly Koerner; Jordana Muroff; Julia Reynolds; Raphael D Rose; Josef I Ruzek; Bethany A Teachman; Stephen M Schueller
Journal:  Mhealth       Date:  2018-06-04

3.  A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.

Authors:  Zhe He; Shubo Tian; Ankita Singh; Shayok Chakraborty; Shenghao Zhang; Mia Liza A Lustria; Neil Charness; Nelson A Roque; Erin R Harrell; Walter R Boot
Journal:  Inf Process Manag       Date:  2022-07-21       Impact factor: 7.466

4.  Effects of a smartphone app-augmented treatment for children with oppositional defiant disorder / conduct disorder and peer-related aggressive behavior - a pilot study.

Authors:  Anja Görtz-Dorten; Marlin Frank; Anja Fessel; Leonie Hofmann; Manfred Döpfner
Journal:  Trials       Date:  2022-07-08       Impact factor: 2.728

5.  Development and Validation of a Smartphone-Based App for the Longitudinal Assessment of Anxiety in Daily Life.

Authors:  Lydia Fortea; Miquel Tortella-Feliu; Asier Juaneda-Seguí; Víctor De la Peña-Arteaga; Pamela Chavarría-Elizondo; Laia Prat-Torres; Carles Soriano-Mas; Sean P Lane; Joaquim Radua; Miquel A Fullana
Journal:  Assessment       Date:  2021-12-30

Review 6.  Ecological momentary assessments among patients with cancer: A scoping review.

Authors:  Caroline S Kampshoff; Irma M Verdonck-de Leeuw; Martijn G van Oijen; Mirjam A Sprangers; Laurien M Buffart
Journal:  Eur J Cancer Care (Engl)       Date:  2019-05-14       Impact factor: 2.328

Review 7.  What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.

Authors:  Ingrid Oakley-Girvan; Reem Yunis; Michelle Longmire; Jessey Schwartz Ouillon
Journal:  Telemed J E Health       Date:  2021-10-11       Impact factor: 5.033

8.  Imaginator: A Proof-of-Concept Feasibility Trial of a Brief Imagery-Based Psychological Intervention for Young People Who Self-Harm.

Authors:  Martina Di Simplicio; Elizabeth Appiah-Kusi; Paul Wilkinson; Peter Watson; Caroline Meiser-Stedman; David J Kavanagh; Emily A Holmes
Journal:  Suicide Life Threat Behav       Date:  2020-02-14

9.  Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care.

Authors:  Joshua C Magee; Sarah Adut; Kevin Brazill; Stephen Warnick
Journal:  Curr Treat Options Psychiatry       Date:  2018-07-16

10.  Predictors and Prospective Course of PANS: A Pilot Study Using Electronic Platforms for Data Collection.

Authors:  Elizabeth C Harris; Christine A Conelea; Michael T Shyne; Gail A Bernstein
Journal:  J Child Adolesc Psychopharmacol       Date:  2020-12-31       Impact factor: 2.576

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