Published on in Vol 4, No 3 (2015): Jul-Sep

Depression Awareness and Self-Management Through the Internet: Protocol for an Internationally Standardized Approach

Depression Awareness and Self-Management Through the Internet: Protocol for an Internationally Standardized Approach

Depression Awareness and Self-Management Through the Internet: Protocol for an Internationally Standardized Approach

Journals

  1. Kutcher S, Wei Y, Costa S, Gusmão R, Skokauskas N, Sourander A. Enhancing mental health literacy in young people. European Child & Adolescent Psychiatry 2016;25(6):567 View
  2. Baldofski S, Kohls E, Bauer S, Becker K, Bilic S, Eschenbeck H, Kaess M, Moessner M, Salize H, Diestelkamp S, Voß E, Rummel-Kluge C. Efficacy and cost-effectiveness of two online interventions for children and adolescents at risk for depression (E.motion trial): study protocol for a randomized controlled trial within the ProHEAD consortium. Trials 2019;20(1) View
  3. Oehler C, Görges F, Rogalla M, Rummel-Kluge C, Hegerl U. Efficacy of a Guided Web-Based Self-Management Intervention for Depression or Dysthymia: Randomized Controlled Trial With a 12-Month Follow-Up Using an Active Control Condition. Journal of Medical Internet Research 2020;22(7):e15361 View
  4. Wilson M, Hewes C, Barbosa-Leiker C, Mason A, Wuestney K, Shuen J, Wilson M. Engaging Adults With Chronic Disease in Online Depressive Symptom Self-Management. Western Journal of Nursing Research 2018;40(6):834 View
  5. Dogan E, Sander C, Wagner X, Hegerl U, Kohls E. Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review. Journal of Medical Internet Research 2017;19(7):e262 View
  6. Justicia A, Elices M, Cebria A, Palao D, Gorosabel J, Puigdemont D, de Diego-Adeliño J, Gabilondo A, Iruin A, Hegerl U, Pérez V. Rationale and methods of the iFightDepression study: A double-blind, randomized controlled trial evaluating the efficacy of an internet-based self-management tool for moderate to mild depression. BMC Psychiatry 2017;17(1) View
  7. Oehler C, Görges F, Böttger D, Hug J, Koburger N, Kohls E, Rummel-Kluge C. Efficacy of an internet-based self-management intervention for depression or dysthymia – a study protocol of an RCT using an active control condition. BMC Psychiatry 2019;19(1) View
  8. Choubisa R, Singh K, Tommasi M. Development and validation of a web-delivered positive psychological intervention in an Indian Milieu: Lessons from a limited pilot randomized controlled trial. Cogent Psychology 2018;5(1):1488512 View
  9. Wilson M, Finlay M, Orr M, Barbosa-Leiker C, Sherazi N, Roberts M, Layton M, Roll J. Engagement in online pain self-management improves pain in adults on medication-assisted behavioral treatment for opioid use disorders. Addictive Behaviors 2018;86:130 View
  10. Orsolini L, Pompili S, Salvi V, Volpe U. A Systematic Review on TeleMental Health in Youth Mental Health: Focus on Anxiety, Depression and Obsessive-Compulsive Disorder. Medicina 2021;57(8):793 View
  11. Hegerl U. Prevention of suicidal behavior. Dialogues in Clinical Neuroscience 2016;18(2):183 View
  12. Varga A, Czeglédi E, Tóth M, Purebl G. Effectiveness of iFightDepression® online guided self-help tool in depression: A pilot study. Journal of Telemedicine and Telecare 2024;30(4):696 View
  13. Netter A, Etzelmueller A, Kircher T, Rapley T, Ebert D, Brakemeier E. Implementing Internet-Based Cognitive Behavioral Therapy in Routine Care: Healthcare Practitioners’ Attitude and Perceived Level of Normalization After a Single Information Event. Journal of Technology in Behavioral Science 2022;7(1):45 View
  14. Le Jeannic A, Turmaine K, Gandré C, Vinet M, Michel M, Chevreul K. Defining the Characteristics of an e-Health Tool for Suicide Primary Prevention in the General Population: The StopBlues Case in France. International Journal of Environmental Research and Public Health 2023;20(12):6096 View
  15. Freund J, Piotrowski A, Bührmann L, Oehler C, Titzler I, Netter A, Potthoff S, Ebert D, Finch T, Köberlein-Neu J, Etzelmüller A. Validation of the German Normalisation Process Theory Measure G-NoMAD: translation, adaptation, and pilot testing. Implementation Science Communications 2023;4(1) View
  16. Reich H, Hegerl U, Rosenthal A, Allenhof C. Arabic-language digital interventions for depression in German routine health care are acceptable, but intervention adoption remains a challenge. Scientific Reports 2024;14(1) View
  17. Wenger F, Allenhof C, Schreynemackers S, Hegerl U, Reich H. Use of Random Forest to Predict Adherence in an Online Intervention for Depression Using Baseline and Early Usage Data: Model Development and Validation on Retrospective Routine Care Log Data. JMIR Formative Research 2024;8:e53768 View