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In order to identify the specific helpful and unhelpful factors within each of the above groups, 4 authors used a modified behavior change model [33] as applied by Liverpool et al [34], outlining the barriers and facilitators to engagement in digital mental health interventions including person-specific and intervention-specific influencing factors. In terms of person-specific factors, motivation, opportunity, and capability were listed as the influencing factors.
JMIR Ment Health 2024;11:e55500
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Self-Guided Mental Health Apps Targeting Racial and Ethnic Minority Groups: Scoping Review
JMIR Ment Health 2023;10:e48991
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An App to Support Fathers’ Mental Health and Well-Being: User-Centered Development Study
JMIR Form Res 2023;7:e47968
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Contrary to Liverpool et al [76], users in this evaluation responded favorably to text-based content (as per the digital lessons). Further research is needed to determine whether specific features may have more or less impact on use among various age groups.
In addition, based on descriptive data, all mental health and well-being scores improved.
JMIR Form Res 2021;5(11):e31064
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