This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2754) Mobile Health (mhealth) (2777) e-Mental Health and Cyberpsychology (1411) Use and User Demographics of mHealth (313)

Published on in Vol 4, No 3 (2016): Jul-Sept

Usage and Dose Response of a Mobile Acceptance and Commitment Therapy App: Secondary Analysis of the Intervention Arm of a Randomized Controlled Trial

Usage and Dose Response of a Mobile Acceptance and Commitment Therapy App: Secondary Analysis of the Intervention Arm of a Randomized Controlled Trial

Usage and Dose Response of a Mobile Acceptance and Commitment Therapy App: Secondary Analysis of the Intervention Arm of a Randomized Controlled Trial

Authors of this article:

Elina Mattila1 Author Orcid Image ;   Raimo Lappalainen2 Author Orcid Image ;   Pasi Välkkynen1, 3 Author Orcid Image ;   Essi Sairanen2 Author Orcid Image ;   Päivi Lappalainen2 Author Orcid Image ;   Leila Karhunen4, 5 Author Orcid Image ;   Katri Peuhkuri6 Author Orcid Image ;   Riitta Korpela6 Author Orcid Image ;   Marjukka Kolehmainen4, 5, 7 Author Orcid Image ;   Miikka Ermes1 Author Orcid Image
Article Authors Cited by (50) Tweetations (4) Metrics

Journals

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  20. Rauseo-Ricupero N, Torous J. Technology Enabled Clinical Care (TECC): Protocol for a Prospective Longitudinal Cohort Study of Smartphone-Augmented Mental Health Treatment. JMIR Research Protocols 2021;10(1):e23771 View
  21. Elison-Davies S, Wardell J, Quilty L, Ward J, Davies G. Examining correlates of cannabis users' engagement with a digital intervention for substance use disorder: An observational study of clients in UK services delivering Breaking Free Online. Journal of Substance Abuse Treatment 2021;123:108261 View
  22. Matis J, Svetlak M, Slezackova A, Svoboda M, Šumec R. Mindfulness-Based Programs for Patients With Cancer via eHealth and Mobile Health: Systematic Review and Synthesis of Quantitative Research. Journal of Medical Internet Research 2020;22(11):e20709 View
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  28. Aulbach M, Knittle K, Barbara van Beurden S, Haukkala A, Lawrence N. App-based food Go/No-Go training: user engagement and dietary intake in an opportunistic observational study. Appetite 2021:105315 View
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  30. Lappalainen P, Lappalainen R, Keinonen K, Kaipainen K, Puolakanaho A, Muotka J, Kiuru N. In the shadow of COVID-19: A randomized controlled online ACT trial promoting adolescent psychological flexibility and self-compassion. Journal of Contextual Behavioral Science 2023;27:34 View
  31. Baglione A, Cai L, Bahrini A, Posey I, Boukhechba M, Chow P. Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study. JMIR Medical Informatics 2022;10(6):e30712 View
  32. Elison-Davies S, Newsome J, Jones A, Davies G, Ward J. Associations between psychosocial risk factors, and changes in substance dependence and psychosocial functioning, during engagement with digital cognitive behavioral therapy for methamphetamine use: use of 'Breaking Free from Substance Abuse' by incarcerated people during the COVID-19 pandemic. Health & Justice 2022;10(1) View
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  36. Cumpanasoiu D, Enrique A, Palacios J, Duffy D, McNamara S, Richards D. Trajectories of Symptoms in Digital Interventions for Depression and Anxiety Using Routine Outcome Monitoring Data: Secondary Analysis Study. JMIR mHealth and uHealth 2023;11:e41815 View
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Books/Policy Documents

  1. Kernebeck S, Busse T, Vollmar H. E-Health-Ökonomie II. View