Published on in Vol 21, No 11 (2019): November

Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health

Journals

  1. Perski O, Watson N, Mull K, Bricker J. Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis. Nicotine & Tobacco Research 2021;23(7):1103 View
  2. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis. Journal of Medical Internet Research 2021;23(9):e25630 View
  3. Garety P, Ward T, Emsley R, Greenwood K, Freeman D, Fowler D, Kuipers E, Bebbington P, Dunn G, Hardy A. Digitally supported CBT to reduce paranoia and improve reasoning for people with schizophrenia-spectrum psychosis: the SlowMo RCT. Efficacy and Mechanism Evaluation 2021;8(11):1 View
  4. Fuente-Vidal A, Guerra-Balic M, Roda-Noguera O, Jerez-Roig J, Montane J. Adherence to eHealth-Delivered Exercise in Adults with no Specific Health Conditions: A Scoping Review on a Conceptual Challenge. International Journal of Environmental Research and Public Health 2022;19(16):10214 View
  5. Sanatkar S, Counson I, Mackinnon A, Bartholomew A, Glozier N, Harvey S. Preliminary Investigation of Shift, a Novel Smartphone App to Support Junior Doctors’ Mental Health and Well-being: Examination of Symptom Progression, Usability, and Acceptability After 1 Month of Use. Journal of Medical Internet Research 2022;24(9):e38497 View
  6. Wu D, Huyan X, She Y, Hu J, Duan H, Deng N. Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data. JMIR mHealth and uHealth 2022;10(2):e33189 View
  7. Kaveladze B, Wasil A, Bunyi J, Ramirez V, Schueller S. User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews. JMIR Human Factors 2022;9(1):e30766 View
  8. Li Y, Guo Y, Hong Y, Zeng Y, Monroe-Wise A, Zeng C, Zhu M, Zhang H, Qiao J, Xu Z, Cai W, Li L, Liu C. Dose–Response Effects of Patient Engagement on Health Outcomes in an mHealth Intervention: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(1):e25586 View
  9. Hardy A, Ward T, Emsley R, Greenwood K, Freeman D, Fowler D, Kuipers E, Bebbington P, Garety P. Bridging the Digital Divide in Psychological Therapies: Observational Study of Engagement With the SlowMo Mobile App for Paranoia in Psychosis. JMIR Human Factors 2022;9(3):e29725 View
  10. O'Sullivan S, Schmaal L, D'Alfonso S, Toenders Y, Valentine L, McEnery C, Bendall S, Nelson B, Gleeson J, Alvarez-Jimenez M. Characterizing Use of a Multicomponent Digital Intervention to Predict Treatment Outcomes in First-Episode Psychosis: Cluster Analysis. JMIR Mental Health 2022;9(4):e29211 View
  11. Baldwin P, Black M, Newby J, Brown L, Scott N, Shrestha T, Cockayne N, Tennant J, Harvey S, Christensen H. The Essential Network (TEN): rapid development and implementation of a digital-first mental health solution for Australian healthcare workers during COVID-19. BMJ Innovations 2022;8(2):105 View
  12. Greenwood K, Gurnani M, Ward T, Vogel E, Vella C, McGourty A, Robertson S, Sacadura C, Hardy A, Rus‐Calafell M, Collett N, Emsley R, Freeman D, Fowler D, Kuipers E, Bebbington P, Dunn G, Michelson D, Garety P. The service user experience of SlowMo therapy: A co‐produced thematic analysis of service users’ subjective experience. Psychology and Psychotherapy: Theory, Research and Practice 2022;95(3):680 View
  13. Prochaska J, Wang Y, Bowdring M, Chieng A, Chaudhary N, Ramo D. Acceptability and Utility of a Smartphone App to Support Adolescent Mental Health (BeMe): Program Evaluation Study. JMIR mHealth and uHealth 2023;11:e47183 View
  14. Bernard A, de Ossorno Garcia S, Salhi L, John A, DelPozo-Banos M. Patterns of engagement in a digital mental health service during COVID-19: a cohort study for children and young people. Frontiers in Psychiatry 2023;14 View
  15. Abedini A, Abedin B, Zowghi D. A Framework of Environmental, Personal, and Behavioral Factors of Adult Learning in Online Communities of Practice. Information Systems Frontiers 2023 View
  16. Hoffman V, Flom M, Mariano T, Chiauzzi E, Williams A, Kirvin-Quamme A, Pajarito S, Durden E, Perski O. User Engagement Clusters of an 8-Week Digital Mental Health Intervention Guided by a Relational Agent (Woebot): Exploratory Study. Journal of Medical Internet Research 2023;25:e47198 View
  17. Carrandi A, Hu Y, Wayland S, Maple M, Chan K. Effectiveness of Community-Based Outreach Interventions for Individuals Living with Mental Ill-Health in Australia: A Systematic Review. Health & Social Care in the Community 2023;2023:1 View
  18. Zimmermann M, Greenberg L, Breland J. Engagement and Use of a Blended mHealth Intervention for Health Behavior Change. International Journal of Behavioral Medicine 2023 View
  19. 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