Literature DB >> 29262693

A Randomized Controlled Trial of Multiple Versions of an Acceptance and Commitment Therapy Matrix App for Well-Being.

Jennifer Krafft1, Sarah Potts1, Benjamin Schoendorff2,3, Michael E Levin1.   

Abstract

Mobile apps may be useful in teaching psychological skills in a high-frequency, low-intensity intervention. The acceptance and commitment therapy (ACT) matrix is a visual tool to help develop psychological flexibility by categorizing moment-to-moment experience and is well suited to a mobile app. This pilot study tested the effects of a simple and complex version of a novel app using the ACT matrix in two distinct samples: help-seeking individuals (n = 35) and students receiving SONA credit (n = 63). Findings indicated no differences between app conditions and a waitlist condition in the SONA credit sample. However, in the help-seeking sample, improvements were found on well-being and valued action in participants who used the app, with greater improvements and app adoption for those using a complex version with additional skills. A mobile app based on the ACT matrix has benefits for help-seeking individuals, but supplementary features may be necessary to support consistent use and benefits.

Entities:  

Keywords:  acceptance and commitment therapy; mHealth; mobile app; psychological flexibility; values

Year:  2017        PMID: 29262693     DOI: 10.1177/0145445517748561

Source DB:  PubMed          Journal:  Behav Modif        ISSN: 0145-4455


  9 in total

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Journal:  Adv Health Sci Educ Theory Pract       Date:  2022-05-03       Impact factor: 3.629

4.  Designing an mHealth Intervention for People With Visible Differences Based on Acceptance and Commitment Therapy: Participatory Study Gaining Stakeholders' Input.

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Review 5.  Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis.

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Review 6.  Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis.

Authors:  Stephanie G Six; Kaileigh A Byrne; Thomas P Tibbett; Irene Pericot-Valverde
Journal:  JMIR Ment Health       Date:  2021-11-29

7.  Improving Well-being With a Mobile Artificial Intelligence-Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study.

Authors:  Navot Naor; Alex Frenkel; Mirène Winsberg
Journal:  JMIR Form Res       Date:  2022-07-12

8.  An Acceptance and Commitment Therapy Prototype Mobile Program for Individuals With a Visible Difference: Mixed Methods Feasibility Study.

Authors:  Fabio Zucchelli; Olivia Donnelly; Emma Rush; Paul White; Holly Gwyther; Heidi Williamson
Journal:  JMIR Form Res       Date:  2022-01-21

9.  Data Missing Not at Random in Mobile Health Research: Assessment of the Problem and a Case for Sensitivity Analyses.

Authors:  Simon B Goldberg; Daniel M Bolt; Richard J Davidson
Journal:  J Med Internet Res       Date:  2021-06-15       Impact factor: 5.428

  9 in total

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