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

mHealth for Wellness, Behavior Change and Prevention (2922) Mobile Health (mhealth) (2982) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Use and User Demographics of mHealth (344)

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 (3) Metrics

Journals

  1. Murphy D, Slovak P, Thieme A, Jackson D, Olivier P, Fitzpatrick G. Developing technology to enhance learning interpersonal skills in counsellor education. British Journal of Guidance & Counselling 2019;47(3):328 View
  2. Zeng Y, Guo Y, Li L, Hong Y, Li Y, Zhu M, Zeng C, Zhang H, Cai W, Liu C, Wu S, Chi P, Monroe-Wise A, Hao Y, Ho R. Relationship Between Patient Engagement and Depressive Symptoms Among People Living With HIV in a Mobile Health Intervention: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e20847 View
  3. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  4. Kroska E, Hoel S, Victory A, Murphy S, McInnis M, Stowe Z, Cochran A. Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials. JMIR Research Protocols 2020;9(9):e17086 View
  5. Fukuoka Y, Haskell W, Lin F, Vittinghoff E. Short- and Long-term Effects of a Mobile Phone App in Conjunction With Brief In-Person Counseling on Physical Activity Among Physically Inactive Women. JAMA Network Open 2019;2(5):e194281 View
  6. Radomski A, Bagnell A, Curtis S, Hartling L, Newton A. Examining the Usage, User Experience, and Perceived Impact of an Internet-Based Cognitive Behavioral Therapy Program for Adolescents With Anxiety: Randomized Controlled Trial. JMIR Mental Health 2020;7(2):e15795 View
  7. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394 View
  8. Marcelle E, Nolting L, Hinshaw S, Aguilera A. Effectiveness of a Multimodal Digital Psychotherapy Platform for Adult Depression: A Naturalistic Feasibility Study. JMIR mHealth and uHealth 2019;7(1):e10948 View
  9. Levin M, Haeger J, Cruz R. Tailoring Acceptance and Commitment Therapy Skill Coaching in the Moment Through Smartphones: Results from a Randomized Controlled Trial. Mindfulness 2019;10(4):689 View
  10. Levin M, Navarro C, Cruz R, Haeger J. Comparing in-the-moment skill coaching effects from tailored versus non-tailored acceptance and commitment therapy mobile apps in a non-clinical sample. Cognitive Behaviour Therapy 2019;48(3):200 View
  11. Järvelä-Reijonen E, Puttonen S, Karhunen L, Sairanen E, Laitinen J, Kolehmainen M, Pihlajamäki J, Kujala U, Korpela R, Ermes M, Lappalainen R, Kolehmainen M. The Effects of Acceptance and Commitment Therapy (ACT) Intervention on Inflammation and Stress Biomarkers: a Randomized Controlled Trial. International Journal of Behavioral Medicine 2020;27(5):539 View
  12. Zhang R, Nicholas J, Knapp A, Graham A, Gray E, Kwasny M, Reddy M, Mohr D. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study. Journal of Medical Internet Research 2019;21(12):e15644 View
  13. Järvelä-Reijonen E, Karhunen L, Sairanen E, Muotka J, Lindroos S, Laitinen J, Puttonen S, Peuhkuri K, Hallikainen M, Pihlajamäki J, Korpela R, Ermes M, Lappalainen R, Kolehmainen M. The effects of acceptance and commitment therapy on eating behavior and diet delivered through face-to-face contact and a mobile app: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1) View
  14. Lawlor E, Islam N, Bates S, Griffin S, Hill A, Hughes C, Sharp S, Ahern A. Third‐wave cognitive behaviour therapies for weight management: A systematic review and network meta‐analysis. Obesity Reviews 2020;21(7) View
  15. Chow P, Drago F, Kennedy E, Cohn W. A Novel Mobile Phone App Intervention With Phone Coaching to Reduce Symptoms of Depression in Survivors of Women’s Cancer: Pre-Post Pilot Study. JMIR Cancer 2020;6(1):e15750 View
  16. Schmidt C, Romine J, Bell M, Armin J, Gordon J. User Participation and Engagement With the See Me Smoke-Free mHealth App: Prospective Feasibility Trial. JMIR mHealth and uHealth 2017;5(10):e142 View
  17. Katzman W, Gladin A, Lane N, Wong S, Liu F, Jin C, Fukuoka Y. Feasibility and Acceptability of Technology-Based Exercise and Posture Training in Older Adults With Age-Related Hyperkyphosis: Pre-Post Study. JMIR Aging 2019;2(1):e12199 View
  18. Enrique A, Palacios J, Ryan H, Richards D. Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(8):e12775 View
  19. Kozlov E, Bantum E, Pagano I, Walser R, Ramsey K, Taylor K, Jaworski B, Owen J. The Reach, Use, and Impact of a Free mHealth Mindfulness App in the General Population: Mobile Data Analysis. JMIR Mental Health 2020;7(11):e23377 View
  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
  23. Watson-Singleton N, Pennefather J, Trusty T. Can a culturally-responsive Mobile health (mHealth) application reduce African Americans’ stress?: A pilot feasibility study. Current Psychology 2023;42(2):1434 View
  24. Hemmings N, Kawadler J, Whatmough R, Ponzo S, Rossi A, Morelli D, Bird G, Plans D. Development and Feasibility of a Digital Acceptance and Commitment Therapy–Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study. JMIR Formative Research 2021;5(2):e21737 View
  25. Li H, Yang S, Chi H, Xu L, Zhang T, Singleton G, Tang Y, Stone W, Wang J. Enhancing attention and memory of individuals at clinical high risk for psychosis with mHealth technology. Asian Journal of Psychiatry 2021;58:102587 View
  26. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387 View
  27. Psihogios A, King-Dowling S, O’Hagan B, Darabos K, Maurer L, Young J, Fleisher L, Barakat L, Szalda D, Hill-Kayser C, Schwartz L. Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors. Annals of Behavioral Medicine 2021;55(12):1220 View
  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
  29. Hämäläinen T, Kaipainen K, Lappalainen P, Puolakanaho A, Keinonen K, Lappalainen R, Kiuru N. Usage activity, perceived usefulness, and satisfaction in a web-based acceptance and commitment therapy program among Finnish ninth-grade adolescents. Internet Interventions 2021;25:100421 View
  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
  33. Wang Y, Wu T, Chen Z. Active Usage of Mobile Health Applications: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e25330 View
  34. Honka A, Nieminen H, Simila H, Kaartinen J, Gils M. A Comprehensive User Modeling Framework and a Recommender System for Personalizing Well-Being Related Behavior Change Interventions: Development and Evaluation. IEEE Access 2022;10:116766 View
  35. Kernebeck S, Busse T, Ehlers J, Vollmar H. Adhärenz digitaler Interventionen im Gesundheitswesen: Definitionen, Methoden und offene Fragen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(10):1278 View
  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
  37. Su L, Anderson P. User Behavior of a Publicly Available, Free-to-Use, Self-guided mHealth App for Depression: Observational Study in a Global Sample. JMIR Formative Research 2022;6(10):e35538 View
  38. Lavikainen P, Mattila E, Absetz P, Harjumaa M, Lindström J, Järvelä-Reijonen E, Aittola K, Männikkö R, Tilles-Tirkkonen T, Lintu N, Lakka T, van Gils M, Pihlajamäki J, Martikainen J. Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Secondary Analysis of Long-Term User Engagement Trajectories in a Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(2):e31530 View
  39. Cochran A, Maronge J, Victory A, Hoel S, McInnis M, Thomas E. Mobile Acceptance and Commitment Therapy in Bipolar Disorder: Microrandomized Trial. JMIR Mental Health 2023;10:e43164 View
  40. Geiger S, Steinbach J, Skoda E, Jahre L, Rentrop V, Kocol D, Jansen C, Schüren L, Niedergethmann M, Teufel M, Bäuerle A. Needs and Demands for e-Mental Health Interventions in Individuals with Overweight and Obesity: User-Centred Design Approach. Obesity Facts 2023;16(2):173 View
  41. Hämäläinen T, Kaipainen K, Keinonen K, Lappalainen P, Puolakanaho A, Lappalainen R, Kiuru N. The Roles of Adherence and Usage Activity in Adolescents’ Intervention Gains During Brief Guided Online Acceptance and Commitment Therapy. Journal of Cognitive Psychotherapy 2023;37(3):187 View
  42. Lipschitz J, Pike C, Hogan T, Murphy S, Burdick K. The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward. Current Treatment Options in Psychiatry 2023;10(3):119 View
  43. Zheng S, Edney S, Goh C, Tai B, Mair J, Castro O, Salamanca-Sanabria A, Kowatsch T, van Dam R, Müller-Riemenschneider F. Effectiveness of holistic mobile health interventions on diet, and physical, and mental health outcomes: a systematic review and meta-analysis. eClinicalMedicine 2023;66:102309 View
  44. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
  45. Grahlher K, Morgenstern M, Pietsch B, Gomes de Matos E, Rossa M, Lochbühler K, Daubmann A, Thomasius R, Arnaud N. Mobile App Intervention to Reduce Substance Use, Gambling, and Digital Media Use in Vocational School Students: Exploratory Analysis of the Intervention Arm of a Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e51307 View
  46. Gordon T, Kemp A, Edwards D. Mixed-methods feasibility outcomes for a novel ACT-based video game ‘ACTing Minds’ to support mental health. BMJ Open 2024;14(3):e080972 View
  47. Kwok G, Sharma A, Mandato I, Devine K. Feasibility and Acceptability of a Meditation Mobile App Intervention for Adolescent and Young Adult Survivors of Childhood Cancer. International Journal of Environmental Research and Public Health 2024;21(5):584 View
  48. Theofanopoulou N, Antle A, Slovak P. "They Don't Come With a Handbook": Exploring Design Opportunities for Supporting Parent-Child Interaction around Emotions in the Family Context. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View

Books/Policy Documents

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