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Efficacy of a Web-Based Guided Recommendation Service for a Curated List of Readily Available Mental Health and Well-Being Mobile Apps for Young People: Randomized Controlled Trial.

作者信息

Bidargaddi Niranjan, Musiat Peter, Winsall Megan, Vogl Gillian, Blake Victoria, Quinn Stephen, Orlowski Simone, Antezana Gaston, Schrader Geoffrey

机构信息

Digital Psychiatry & Personal Health Informatics Group, School of Medicine, Flinders University, Clovelly Park, Australia.

Young and Well Cooperative Research Centre, Melbourne, Australia.

出版信息

J Med Internet Res. 2017 May 12;19(5):e141. doi: 10.2196/jmir.6775.


DOI:10.2196/jmir.6775
PMID:28500020
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5446666/
Abstract

BACKGROUND: Mental disorders are highly prevalent for the people who are aged between 16 and 25 years and can permanently disrupt the development of these individuals. Easily available mobile health (mHealth) apps for mobile phones have great potential for the prevention and early intervention of mental disorders in young adults, but interventions are required that can help individuals to both identify high-quality mobile apps and use them to change health and lifestyle behavior. OBJECTIVES: The study aimed to assess the efficacy of a Web-based self-guided app recommendation service ("The Toolbox") in improving the well-being of young Australians aged between 16 and 25 years. The intervention was developed in collaboration with young adults and consists of a curated list of 46 readily available health and well-being apps, assessed and rated by professionals and young people. Participants are guided by an interactive quiz and subsequently receive recommendations for particular apps to download and use based on their personal goals. METHODS: The study was a waitlist, parallel-arm, randomized controlled trial. Our primary outcome measure was change in well-being as measured by the Mental Health Continuum-Short Form (MHC-SF). We also employed ecological momentary assessments (EMAs) to track mood, energy, rest, and sleep. Participants were recruited from the general Australian population, via several Web-based and community strategies. The study was conducted through a Web-based platform consisting of a landing Web page and capabilities to administer study measures at different time points. Web-based measurements were self-assessed at baseline and 4 weeks, and EMAs were collected repeatedly at regular weekly intervals or ad hoc when participants interacted with the study platform. Primary outcomes were analyzed using linear mixed-models and intention-to-treat (ITT) analysis. RESULTS: A total of 387 participants completed baseline scores and were randomized into the trial. Results demonstrated no significant effect of "The Toolbox" intervention on participant well-being at 4 weeks compared with the control group (P=.66). There were also no significant differences between the intervention and control groups at 4 weeks on any of the subscales of the MHC-SF (psychological: P=.95, social: P=.42, emotional: P=.95). Repeat engagement with the study platform resulted in a significant difference in mood, energy, rest, and sleep trajectories between intervention and control groups as measured by EMAs (P<.01). CONCLUSIONS: This was the first study to assess the effectiveness of a Web-based well-being intervention in a sample of young adults. The design of the intervention utilized expert rating of existing apps and end-user codesign approaches resulting in an app recommendation service. Our finding suggests that recommended readily available mental health and well-being apps may not lead to improvements in the well-being of a nonclinical sample of young people, but might halt a decline in mood, energy, rest, and sleep. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12614000710628; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366145 (Archived by WebCite at http://www.webcitation.org/ 6pWDsnKme).

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/bdefddd71439/jmir_v19i5e141_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/60e8d61e0b37/jmir_v19i5e141_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/27c6e239caa5/jmir_v19i5e141_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/06ba7e44df40/jmir_v19i5e141_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/bdefddd71439/jmir_v19i5e141_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/60e8d61e0b37/jmir_v19i5e141_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/27c6e239caa5/jmir_v19i5e141_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/06ba7e44df40/jmir_v19i5e141_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53b/5446666/bdefddd71439/jmir_v19i5e141_fig4.jpg

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[4]
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[5]
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Campbell Syst Rev. 2024-4-26

[6]
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Digit Health. 2023-12-11

[7]
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[8]
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[10]
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本文引用的文献

[1]
Paid and Unpaid Online Recruitment for Health Interventions in Young Adults.

J Adolesc Health. 2016-12

[2]
Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program.

J Med Internet Res. 2016-9-22

[3]
Quantifying App Store Dynamics: Longitudinal Tracking of Mental Health Apps.

JMIR Mhealth Uhealth. 2016-8-9

[4]
Uptake and Usage of IntelliCare: A Publicly Available Suite of Mental Health and Well-Being Apps.

Internet Interv. 2016-5

[5]
Which Combinations of Techniques and Modes of Delivery in Internet-Based Interventions Effectively Change Health Behavior? A Meta-Analysis.

J Med Internet Res. 2016-6-7

[6]
Ecological momentary assessment and beyond: The rising interest in e-mental health research.

J Psychiatr Res. 2016-9

[7]
Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences.

PLoS One. 2016-5-23

[8]
Interrater Reliability of mHealth App Rating Measures: Analysis of Top Depression and Smoking Cessation Apps.

JMIR Mhealth Uhealth. 2016-2-10

[9]
Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults.

J Psychiatr Res. 2016-4

[10]
Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment.

BMC Med. 2015-9-7

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