Published on in Vol 19, No 6 (2017): June

Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression

Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression

Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression

Journals

  1. Schröder J, Berger T, Meyer B, Lutz W, Späth C, Michel P, Rose M, Hautzinger M, Hohagen F, Klein J, Moritz S. Impact and change of attitudes toward Internet interventions within a randomized controlled trial on individuals with depression symptoms. Depression and Anxiety 2018;35(5):421 View
  2. Forsell E, Jernelöv S, Blom K, Kraepelien M, Svanborg C, Andersson G, Lindefors N, Kaldo V. Proof of Concept for an Adaptive Treatment Strategy to Prevent Failures in Internet-Delivered CBT: A Single-Blind Randomized Clinical Trial With Insomnia Patients. American Journal of Psychiatry 2019;176(4):315 View
  3. Zagorscak P, Heinrich M, Bohn J, Stein J, Knaevelsrud C. How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback. Brain and Behavior 2020;10(1) View
  4. Lutz W, Clausen S, Deisenhofer A. Perspektiven einer evidenzbasierten und personalisierten Psychotherapie. Zeitschrift für Klinische Psychologie und Psychotherapie 2019;48(2):79 View
  5. Gmeinwieser S, Kuhlencord M, Ruhl U, Hagmayer Y, Probst T. Early developments in general change mechanisms predict reliable improvement in addition to early symptom trajectories in cognitive behavioral therapy. Psychotherapy Research 2020;30(4):462 View
  6. McDevitt‐Petrovic O, Shevlin M, Kirby K. Modelling changes in anxiety and depression during low‐intensity cognitive behavioural therapy: An application of growth mixture models. British Journal of Clinical Psychology 2020;59(2):169 View
  7. Beintner I, Görlich D, Berger T, Ebert D, Zeiler M, Herrero Camarano R, Waldherr K, Jacobi C. Interrelations between participant and intervention characteristics, process variables and outcomes in online interventions: A protocol for overarching analyses within and across seven clinical trials in ICare. Internet Interventions 2019;16:86 View
  8. Lundgren J, Johansson P, Jaarsma T, Andersson G, Kärner Köhler A. Patient Experiences of Web-Based Cognitive Behavioral Therapy for Heart Failure and Depression: Qualitative Study. Journal of Medical Internet Research 2018;20(9):e10302 View
  9. Beard J, Delgadillo J. Early response to psychological therapy as a predictor of depression and anxiety treatment outcomes: A systematic review and meta‐analysis. Depression and Anxiety 2019;36(9):866 View
  10. Tibubos A, Zwerenz R, Brähler E, Beutel M. Persönlichkeitsdiagnostik in der Online-Psychotherapieforschung. Zeitschrift für Psychiatrie, Psychologie und Psychotherapie 2018;66(3):169 View
  11. Pihlaja S, Lahti J, Lipsanen J, Ritola V, Gummerus E, Stenberg J, Joffe G. Scheduled Telephone Support for Internet Cognitive Behavioral Therapy for Depression in Patients at Risk for Dropout: Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e15732 View
  12. Arndt A, Rubel J, Berger T, Lutz W. Outpatient and self-referred participants: Adherence to treatment components and outcome in an internet intervention targeting anxiety disorders. Internet Interventions 2020;20:100319 View
  13. Probst T, Weise C, Andersson G, Kleinstäuber M. Differences in baseline and process variables between non-responders and responders in Internet-based cognitive behavior therapy for chronic tinnitus. Cognitive Behaviour Therapy 2019;48(1):52 View
  14. Soucy J, Hadjistavropoulos H, Karin E, Dear B, Titov N. Brief online motivational interviewing pre-treatment intervention for enhancing internet-delivered cognitive behaviour therapy: A randomized controlled trial. Internet Interventions 2021;25:100394 View
  15. Fuhr K, Werle D, Batra A. How does early symptom change predict subsequent course of depressive symptoms during psychotherapy?. Psychology and Psychotherapy: Theory, Research and Practice 2022;95(1):137 View
  16. Forsell E, Jernelöv S, Blom K, Kaldo V. Clinically sufficient classification accuracy and key predictors of treatment failure in a randomized controlled trial of Internet-delivered Cognitive Behavior Therapy for Insomnia. Internet Interventions 2022;29:100554 View
  17. Lutz W, Clausen S, Bennemann B, Zimmermann D, Prinz J, Rubel J, Deisenhofer A. Chancen von E-Mental-Health und eProzessdiagnostik in der ambulanten Psychotherapie: Der Trierer Therapie Navigator. Verhaltenstherapie 2019;29(3):145 View
  18. 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
  19. Linnet J, Jensen E, Runge E, Hansen M, Hertz S, Mathiasen K, Lichtenstein M. Text based internet intervention of Binge Eating Disorder (BED): Words per message is associated with treatment adherence. Internet Interventions 2022;28:100538 View
  20. Romero D, Johansson M, Hermansson U, Lindner P. Impact of Users' Attitudes Toward Anonymous Internet Interventions for Cannabis vs. Alcohol Use: A Secondary Analysis of Data From Two Clinical Trials. Frontiers in Psychiatry 2021;12 View
  21. Skelton M, Catarino A, Brown S, Carr E, Davies M, Peel A, Rayner C, Breen G, Eley T. Trajectories of depression symptoms, anxiety symptoms and functional impairment during internet-enabled cognitive-behavioural therapy. Behaviour Research and Therapy 2023;169:104386 View
  22. Moggia D, Lutz W, Kazantzis N, Schwartz B, Bakker D. Symptom Reduction and Engagement in a Cognitive-Behavioral Mobile Phone App: A Study of User Profiling to Determine Prognostic Indicators. Behavior Therapy 2024;55(2):217 View
  23. Deisenhofer A, Barkham M, Beierl E, Schwartz B, Aafjes-van Doorn K, Beevers C, Berwian I, Blackwell S, Bockting C, Brakemeier E, Brown G, Buckman J, Castonguay L, Cusack C, Dalgleish T, de Jong K, Delgadillo J, DeRubeis R, Driessen E, Ehrenreich-May J, Fisher A, Fried E, Fritz J, Furukawa T, Gillan C, Gómez Penedo J, Hitchcock P, Hofmann S, Hollon S, Jacobson N, Karlin D, Lee C, Levinson C, Lorenzo-Luaces L, McDanal R, Moggia D, Ng M, Norris L, Patel V, Piccirillo M, Pilling S, Rubel J, Salazar-de-Pablo G, Saunders R, Schleider J, Schnurr P, Schueller S, Siegle G, Uher R, Watkins E, Webb C, Wiltsey Stirman S, Wynants L, Youn S, Zilcha-Mano S, Lutz W, Cohen Z. Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward. Behaviour Research and Therapy 2024;172:104443 View
  24. Röhrig B, Witthöft M, Herpertz S, Petrak F. “The early bird catches the worm”—Prediction of early response and its importance for treatment outcome in a naturalistic setting of cognitive behaviour therapy. Clinical Psychology & Psychotherapy 2024;31(1) View
  25. Edelbluth S, Klein J, Schwartz B, Hehlmann M, Arndt A, Rubel J, Moggia D, Berger T, Meyer B, Moritz S, Schröder J, Lutz W. The long shadow of early-change patterns: a 3-year follow-up after the use of a web-based intervention for mild to moderate depressive symptoms. Cognitive Behaviour Therapy 2024:1 View

Books/Policy Documents

  1. Becker D. Advances in Information and Communication Networks. View
  2. Blankenhagel K, Werner J, Mayer G, Schultz J, Zarnekow R. Wireless Mobile Communication and Healthcare. View