Published on in Vol 18, No 8 (2016): August

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Journals

  1. Attridge M, Morfitt R, Roseborough D, Jones E. Internet-Based Cognitive-Behavioral Therapy for College Students With Anxiety, Depression, Social Anxiety, or Insomnia: Four Single-Group Longitudinal Studies of Archival Commercial Data and Replication of Employee User Study. JMIR Formative Research 2020;4(7):e17712 View
  2. Schotanus-Dijkstra M, Drossaert C, Bohlmeijer E. People’s Motives to Participate in a Positive Psychology Intervention with Email Support and Who Might Benefit Most?. International Journal of Applied Positive Psychology 2019;3(1-3):1 View
  3. Giest S, Mukherjee I. Behavioral instruments in renewable energy and the role of big data: A policy perspective. Energy Policy 2018;123:360 View
  4. Bakker D, Rickard N. Engagement with a cognitive behavioural therapy mobile phone app predicts changes in mental health and wellbeing: MoodMission. Australian Psychologist 2019;54(4):245 View
  5. Baumel A, Edan S, Kane J. Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs. Translational Behavioral Medicine 2019 View
  6. Luhmann M. Using Big Data to study subjective well-being. Current Opinion in Behavioral Sciences 2017;18:28 View
  7. Görges F, Oehler C, von Hirschhausen E, Hegerl U, Rummel-Kluge C. GET.HAPPY - Acceptance of an internet-based self-management positive psychology intervention for adult primary care patients with mild and moderate depression or dysthymia: A pilot study. Internet Interventions 2018;12:26 View
  8. Bakker D, Rickard N. Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism. Journal of Affective Disorders 2018;227:432 View
  9. Sanders C, Schueller S, Parks A, Howell R. Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials. Journal of Medical Internet Research 2019;21(6):e13253 View
  10. Morris R, Kouddous K, Kshirsagar R, Schueller S. Towards an Artificially Empathic Conversational Agent for Mental Health Applications: System Design and User Perceptions. Journal of Medical Internet Research 2018;20(6):e10148 View
  11. Fleming T, Bavin L, Lucassen M, Stasiak K, Hopkins S, Merry S. Beyond the Trial: Systematic Review of Real-World Uptake and Engagement With Digital Self-Help Interventions for Depression, Low Mood, or Anxiety. Journal of Medical Internet Research 2018;20(6):e199 View
  12. Görges F, Oehler C, Hirschhausen E, Hegerl U, Rummel‐Kluge C. GET.HAPPY2 – User perspectives on an internet‐based self‐management positive psychology intervention among persons with and without depression: Results from a retrospective survey. Journal of Clinical Psychology 2020;76(6):1030 View
  13. Cobb A, Stone B, Parks A, Julio L. L’EFFICACITÉ DES INTERVENTIONS FAVORISANT LE BONHEUR : UNE SYNTHÈSE. Revue québécoise de psychologie 2017;38(1):159 View
  14. Smith B, Shatté A, Perlman A, Siers M, Lynch W. Improvements in Resilience, Stress, and Somatic Symptoms Following Online Resilience Training. Journal of Occupational & Environmental Medicine 2018;60(1):1 View
  15. Bakker D, Kazantzis N, Rickwood D, Rickard N. A randomized controlled trial of three smartphone apps for enhancing public mental health. Behaviour Research and Therapy 2018;109:75 View
  16. Boucher E, Moskowitz J, Kackloudis G, Stafford J, Kwok I, Parks A. Immediate and Long-Term Effects of an 8-Week Digital Mental Health Intervention on Adults With Poorly Managed Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(8):e18578 View
  17. Yarosh S, Schueller S. “Happiness Inventors”: Informing Positive Computing Technologies Through Participatory Design With Children. Journal of Medical Internet Research 2017;19(1):e14 View
  18. Bakker D, Kazantzis N, Rickwood D, Rickard N. Development and Pilot Evaluation of Smartphone-Delivered Cognitive Behavior Therapy Strategies for Mood- and Anxiety-Related Problems: MoodMission. Cognitive and Behavioral Practice 2018;25(4):496 View
  19. Baumel A, Muench F, Edan S, Kane J. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research 2019;21(9):e14567 View
  20. Jake-Schoffman D, Silfee V, Waring M, Boudreaux E, Sadasivam R, Mullen S, Carey J, Hayes R, Ding E, Bennett G, Pagoto S. Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps. JMIR mHealth and uHealth 2017;5(12):e190 View
  21. Muñoz A, Camacho E, Torous J. Marketplace and Literature Review of Spanish Language Mental Health Apps. Frontiers in Digital Health 2021;3 View
  22. Boucher E, Ward H, Stafford J, Parks A. Effects of a Digital Mental Health Program on Perceived Stress in Adolescents Aged 13-17 Years: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(4):e25545 View
  23. Martinengo L, Stona A, Griva K, Dazzan P, Pariante C, von Wangenheim F, Car J. Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence. Journal of Medical Internet Research 2021;23(7):e27619 View
  24. Kim M, Yang J, Ahn W, Choi H. Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(6):e27218 View
  25. Teepe G, Da Fonseca A, Kleim B, Jacobson N, Salamanca Sanabria A, Tudor Car L, Fleisch E, Kowatsch T. Just-in-time Adaptive Mechanisms of Popular Mobile Applications for Individuals with Depression: Systematic Review (Preprint). Journal of Medical Internet Research 2021 View

Books/Policy Documents

  1. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. View
  2. Castelnuovo G, Manzoni G. Reference Module in Neuroscience and Biobehavioral Psychology. View
  3. Hocke-Bolte Z, Peters B, Haunit T. Forschungsmethoden in der Gesundheitsförderung und Prävention. View