Published on in Vol 5, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9449, first published .
Engagement With a Trauma Recovery Internet Intervention Explained With the Health Action Process Approach (HAPA): Longitudinal Study

Engagement With a Trauma Recovery Internet Intervention Explained With the Health Action Process Approach (HAPA): Longitudinal Study

Engagement With a Trauma Recovery Internet Intervention Explained With the Health Action Process Approach (HAPA): Longitudinal Study

Journals

  1. Kelders S, van Zyl L, Ludden G. The Concept and Components of Engagement in Different Domains Applied to eHealth: A Systematic Scoping Review. Frontiers in Psychology 2020;11 View
  2. Kanuri N, Arora P, Talluru S, Colaco B, Dutta R, Rawat A, Taylor B, Manjula M, Newman M. Examining the initial usability, acceptability and feasibility of a digital mental health intervention for college students in India. International Journal of Psychology 2020;55(4):657 View
  3. Yeager C, Benight C. Engagement, Predictors, and Outcomes of a Trauma Recovery Digital Mental Health Intervention: Longitudinal Study. JMIR Mental Health 2022;9(5):e35048 View
  4. Bijkerk L, Oenema A, Geschwind N, Spigt M. Measuring Engagement with Mental Health and Behavior Change Interventions: an Integrative Review of Methods and Instruments. International Journal of Behavioral Medicine 2023;30(2):155 View
  5. Zech J, Johnson M, Pullmann M, Hull T, Althoff T, Munson S, Fridling N, Litvin B, Wu J, Areán P. An Integrative Engagement Model of Digital Psychotherapy: Exploratory Focus Group Findings. JMIR Formative Research 2023;7:e41428 View
  6. Kötting L, Henschel N, Keller F, Derksen C, Lippke S. Social-cognitive correlates of expectant mothers’ safe communication behaviour: Applying an adapted HAPA model. Cogent Psychology 2023;10(1) View
  7. Buckheit K, Nolan J, Possemato K, Maisto S, Rosenblum A, Acosta M, Marsch L. Insomnia predicts treatment engagement and symptom change: a secondary analysis of a web-based CBT intervention for veterans with PTSD symptoms and hazardous alcohol use. Translational Behavioral Medicine 2022;12(1) View
  8. Lo B, Pham Q, Sockalingam S, Wiljer D, Strudwick G. Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study. DIGITAL HEALTH 2022;8:205520762211290 View
  9. Dzubur E, Yu J, Hoffman J, Painter S, James R, Shah B. The Effect of a Digital Mental Health Program on Anxiety and Depression Symptoms: Retrospective Analysis of Clinical Severity. JMIR Formative Research 2023;7:e36596 View
  10. Ju Q, Xiao H, Peng H, Gan Y. How to Improve People’s Intentions Regarding COVID-19 Vaccination in China: A Randomized Controlled Trial. International Journal of Behavioral Medicine 2024 View
  11. Lemmer D, Moessner M, Arnaud N, Baumeister H, Mutter A, Klemm S, König E, Plener P, Rummel-Kluge C, Thomasius R, Kaess M, Bauer S. The Impact of Video-Based Microinterventions on Attitudes Toward Mental Health and Help Seeking in Youth: Web-Based Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e54478 View
  12. Bijkerk L, Spigt M, Oenema A, Geschwind N. Engagement with mental health and health behavior change interventions: An integrative review of key concepts. Journal of Contextual Behavioral Science 2024;32:100748 View
  13. Rouvere J, Blanchard B, Johnson M, Griffith Fillipo I, Mosser B, Romanelli M, Nguyen T, Rushton K, Marion J, Althoff T, Areán P, Pullmann M. Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study. JMIR Human Factors 2024;11:e57082 View

Books/Policy Documents

  1. van Berkel N, Shalawadi S, Evans M, Visuri A, Hosio S. Human-Computer Interaction – INTERACT 2023. View