a) Publications (in alphabetical order)

  • Abro, A. H., Klein, M. C. A., & Tabatabaei, S. A. (2015). An agent-based model for the role of social support in mood regulation. In Bajo, J., Hallenborg, K., Pawlewski, P., Botti, V., Sánchez-Pi, N., Méndez, N. D. D., … & Julian, V. (Eds.), Highlights of Practical Applications of Agents Multi-Agent Systems, and Sustainability (pp. 15-27). Cham, Switzerland: Springer International Publishing.

  • Abro, A. H., Klein, M. C., Manzoor, A. R., Tabatabaei, S. A., & Treur, J. (2014, November). A computational model of the relation between regulation of negative emotions and mood. In Loo, C. K., Yap, K. S., Wong, K. W., Teoh, A., & Huang, K. (Eds.), International Conference on Neural Information Processing (pp. 59-68). Cham, Switzerland: Springer International Publishing.

  • Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H., & Ruwaard, J. (2016, August). How to predict mood? Delving into features of smartphone-based data. In Proceedings of the Twenty-second Americas Conference on Information Systems (AMCIS). San Diego, USA: AIS electronic library, 2016.

  • Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J., & Riper, H. (2018). Predictive modeling in e-mental health: A common language framework. Internet Interventions, 12, 57-67.

  • van Breda, W., Hoogendoorn, M., Eiben, A. E., & Berking, M., (2015, June). An evaluation framework for the comparison of fine-grained predictive models in health care. In Holmes, J. H., Bellazzi, R., Sacchi, L., & Peek, N. (Eds.), Conference on Artificial Intelligence in Medicine in Europe (AIME) (pp. 148-152). Cham, Switzerland: Springer International Publishing.

  • van Breda, W., Hoogendoorn, M., Eiben, A., Andersson, G., Riper, H., Ruwaard, J., & Vernmark, K. (2016). A feature representation learning method for temporal datasets. Processdings of the 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens, Greece. LINK

  • van Breda, W., Pastor, J., Hoogendoorn, M., Ruwaard, J., Asselbergs, J., & Riper, H. (2016, June). Exploringand comparing machine learning approaches for predicting mood over time. In Chen, Y., Tanaka, S., Howlett, R. J., & Lakhmi, C. J. (Eds.), International Conference on Innovation in Medicine and Healthcare (pp. 37-47). Cham, Switzerland: Springer International Publishing.

  • van Breda, W., Bremer, V., Becker, D., Hoogendoorn, M., Funk, B., Ruwaard, J., & Riper, H. (2017). Predicting therapy success for treatment as usual and blended treatment in the domain of depression. Internet Interventions, 12, 100-104.

  • Bremer, V., Mukherjee, A., Becker, D., Kolovos, S., Funk, B., Breda, W.V., Hoogendoorn, M., & Riper, H. (2018). Predicting therapy success and costs using baseline characteristics – An Approach for personalized treatment recommendations.

  • Bremer, V. & Funk, B. (2017). Heterogeneity matters: Predicting self-esteem in online interventions.  In  Thirty eighth International Conference on Information Systems, Seoul. San Diego, USA: AIS electronic library, 2016.

  • Ebert, D., Donkin, L., Andersson, G., Andrews, G., Berger, T., Carlbring, P., . . . Johansson, R. (2016). Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials. Psychological Medicine, 46(13), 2679-2693. doi: 10.1017/S0033291716001562

  • Karyotaki, E., Kemmeren, L., Riper, H., Twisk, J., Hoogendoorn, A., Kleiboer, A., … & Littlewood, E. (2018). Is self-guided internet-based cognitive behavioural therapy (iCBT) harmful? An individual participant data meta-analysis. Psychological Medicine, 1-11.

  • Karyotaki, E., Riper, H., & Cuijpers, P. (2017). Internet-based self-help interventions for depression in routine care—Reply. JAMA Psychiatry, 74(8), 853.

  • Karyotaki, E., Kleiboer, A., Smit, F., Turner, D. T., Pastor, A. M., Andersson, G., … & Cuijpers, P. (2015). Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis. Psychological Medicine, 45(13), 2717-2726.

  • Karyotaki E., Riper H., Twisk J., Hoogendoorn, A., Kleiboer, A., Mira, A., Mackinnon, A., Meyer, B., Botella, C., Littlewood, E., Andersson, G., Christensen, H., Klein, J.P., Schröder, J., Bretón-López, J., Scheider, J., Griffiths, K., Farrer, L., Huibers, M.J.H., Phillips, R., Gilbody, S., Moritz, S., Berger, T., Pop, V., Spek, V., & Cuijpers, P. (2017, in press). Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms: A Meta-analysis of Individual Participant Data . JAMA Psychiatry. doi:10.1001/jamapsychiatry.2017.0044
  • Kemmeren  L., van Schaik  D., Riper  H., Kleiboer  A., Bosmans  J., & Smit  J., (2016). Effectiveness of blended depression treatment for adults in specialised mental healthcare: study protocol for a randomised controlled trial. BMC Psychiatry, 16, 113. doi:10.1186/s12888-016-0818-5   
  • Kleiboer, A., Smit, J., Bosmans, J., Ruwaard, J., Andersson, G., Topooco, N., Berger, T., Krieger, T., Botella, C., Baños, R., Chevreul, K., Araya, R., Cerga-Pashoja, A., Cieślak, R., Rogala, A., Vis, C., Draisma, S., van Schaik, A., Kemmeren, L., Ebert, D., Berking, M., Funk, B., Cuijpers, P., Riper, H. (2016). European COMPARative Effectiveness research on blended Depression treatment versus treatment-as-usual (E-COMPARED): study protocol for a randomized controlled, non-inferiority trial in eight European countries. Trials, 17, 1-10. doi:10.1186/s13063-016-1511-1
  • Kolovos, S., Bosmans, J. E., Riper, H., Chevreul, K., Coupé, V. M. H., van Tulder, M. W. (2017). Model-based economic evaluation of treatments for depression: A systematic literature review. Pharmacoecon Open, 1(3), 149-165. doi: 10.1007/s41669-017-0014-7

  • Kolovos, S., Bosmans, J. E., van Dongen, J. M., van Esveld, B., Magai, D., van Straten, A., van der Feltz-Cornelis, C., van Steenbergen-Weijenburg, K. M., Huijbregts, K. M., van Marwijk, H., Riper, H., & van Tulder, M. W. (2017). Utility scores for different health states related to depression: individual participant data analysis, Quality of Life Research, 1-10. doi:10.1007/s11136-017-1536-2

  • Kolovos, S., van Dongen, J. M., Riper, H., Buntrock, C., Cuijpers, P., Ebert, D. D., … & Bosmans, J. E. (2018). Cost effectiveness of guided internet‐based interventions for depression in comparison with control conditions: An individual–participant data meta‐analysis. Depression and Anxiety, 35(3), 209-219.

  • Kop, R., Hoogendoorn, M., and Klein, M.C.A. (2014) A Personalized Support Agent for Depressed Patients: Forecasting Patient Behavior Using a Mood and Coping Model. In: Slezak, D., Dunin-Keplicz, B., Lewis, M., and Terano, T. (eds.), Proceedings of the 2014 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2014), IEEE Computer Society Press, 2014, pp. 302-309. LINK
  • Mathiasen, K., Andersen, T. E., Riper, H., Kleiboer, A. A., & Roessler, K. K. (2016). Blended CBT versus face-to-face CBT: a randomised non-inferiority trial. BMC Psychiatry, 16(1), 432. doi:10.1186/s12888-016-1140-y
  • Mikus, M., Hoogendoom, M., Rocha, A., Gama, J., Ruwaard, J., & Riper, H. (2018). Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data. Internet interventions, 12, 105-110.

  • O’Connell, M. M., Kolovos, S., Bosmans, J. E., Forbes, J. F., & E-COMPARED Consortium. (2017). Discrete event simulation modelling of long term cost-effectiveness of internet-based blended cognitive behavioural therapy for major depressive disorder: Extrapolation of the E-Compared randomised controlled trial. Value in Health, 20(9), A403.

  • Rocha, A., Camacho, R., Ruwaard, J., & Riper, H. (2018). Using multi-relational data mining to discriminate blended therapy efficiency on patients based on log data. Internet Interventions, 12, 176-180. doi.org/10.1016/j.invent.2018.03.003

  • Titzler, I., Saruhanjan, K., Berking, M., Riper, H., & Ebert, D. D. (2018). Barriers and facilitators for the implementation of blended psychotherapy for depression: A qualitative pilot study of therapists’ perspective. Internet Interventions. http://doi.org/10.1016/j.invent.2018.01.002

  • Topooco, N., Riper, H., Araya, R., Berking, M., Brunn, M., Chevreul, K., Cieslak, R., Ebert, D., Etchmendy, E., Herrero, R., Kleiboer, A., Krieger, T., García-Palacios, A., Cerga-Pashoja, A., Smoktunowicz, E., Urech, A., Vis, C., Andersson, G., on behalf of the E-COMPARED consortium (in press, 2017). Attitudes towards digital treatment for depression: A European stakeholder survey. Internet Interventions. doi:10.1016/j.invent.2017.01.001
  • Urech, A., Krieger, T., Möseneder, L., Biaggi, A., Vincent, A., Poppe, C., Meyer, B., Riper, H., & Berger, T. (2018, accepted). A patient post-hoc perspective on advantages and disadvantages of blended cognitive-behavior therapy for depression: A qualitative content analysis. Psychotherapy Research. DOI:10.1080/10503307.2018.1430910

  • Van de Ven, P., O’Brien, H., Henriques, R., Klein, M., Msetfi, R., Nelson, J., … & E-COMPARED Consortium. (2017). ULTEMAT: A mobile framework for smart ecological momentary assessments and interventions. Internet Interventions, 9, 74-81.

b) Talks and Poster Presentations

AuthorsTitleConferenceWhenWhereFormat
E. Karyotaki, E., A. Kleiboer, A., Riper, H., Berger, T., Botellla, C., Breton Lopez, J.M., Christensen, H., de Graaf, E., Farrer, L., Gilbody, S. et alModerators of treatment response in self-guided web based interventions for depression, an individual patient data meta-analysis8th Scientific Meeting of the International Society for Research on Internet Interventions (ISRII)2016Seattle, USATalk
Kleiboer, A., Andersson, G., Toploco, N., Smit, J., Cuijpers, P., Riper, H., & E.U. ECompared consortiumEuropean comparative effectiveness research on Internet-based depression treatment (E-COMPARED)8th Scientific Meeting of the International Society for Research on Internet Interventions (ISRII)2016Seattle, USATalk
Kemmeren, L., van Schaik, A., Riper, H., & Smit, J.Blended Treatment for Depression: Treatment Protocol for E-COMPARED Randomized Controlled Trial in the Netherlands7th Scientific Meeting of the International Society for Research on Internet Interventions (ISRII)2014Valencia, SpainPoster
Kleiboer, A., Cuijpers, P., & Riper, H.European Comparative Effectiveness Research on Internet-based Depression Treatment (E-COMPARED): a study protocol7th Scientific Meeting of the International Society for Research on Internet Interventions (ISRII)2014Valencia, SpainPoster
Kop, R., Hoogendoorn, M., Klein, M., Cuijpers, P., Riper, H., Berking, M.Improvement of Self-Help and Blended Care Therapies for Depression by Utilizing Predictive Models Developed with Artificial Intelligence Techniques7th Scientific Meeting of the International Society for Research on Internet Interventions (ISRII)2014Valencia, SpainTalk
Kop, R., Hoogendoorn, M., & Klein, M.Personalized Support Agent for Depressed Patients: Forecasting Patient Behavior Using a Mood and Coping ModelIEEE/WIC/ACM International Conference on Intelligent Agent Technology2014Warsaw, PolandTalk
Kemmeren, L.L. & van Schaik, D.J.F. “eHealth for depression: how to use it in mental healthcare settings?”, presenting “The (cost-)effectiveness of blended cognitive behavioural therapy, the E-Compared study in the Netherlands”18th Annual Conference of The International Society for Bipolar Disorders (ISBD16) Held Jointly with the 8th Biennial Conference of the International Society for Affective Disorders (ISAD 2016) 2016Amsterdam, The NetherlandsTalk (Brainstorming session)
Titzler, I., Beyer, N., Ebert, D. D., & Berking, M. European-COMPARative Effectiveness research on online Depression (E-COMPARED): Akzeptanz, Wirksamkeit und Kosteneffektivität einer Kombinationsbehandlung von Einzel-Ultrakurzzeit-Therapie und internet-basierter KVT bei Depression. Konzept und Design einer randomisiert-kontrollierten Studie.33. Symposium der Fachgruppe Klinische Psychologie und Psychotherapie der DGPs2015Dresden, GermanyePoster & Talk
Titzler, I., Berking, M., & Ebert, D. D. Barriers to and facilitators for referral to blended internet-based depression treatment in primary care8th Scientific Meeting of the International 2016Seattle, USAPoster
Titzler, I., Berking, M., Fürst, E., Baumeister, H., & Ebert, D. D.Überweisungs- und Empfehlungsverhalten der Hausärzte an eine internet-basierte KVT mit begleitender Einzeltherapie bei Depression: Eine qualitative Studie über Barrieren und Förderfaktoren in der hausärztlichen Primärversorgung34. Symposium der Fachgruppe Klinische Psychologie und Psychotherapie der DGPs2016Bielefeld, GermanyPoster
Titzler, I., Berking, M., Fürst, E., Schlicker, S., Baumeister, H., & Ebert, D. D.Barriers to and facilitators for referral to blended internet-based depression treatment in primary careEHPS2016Aberdeen, ScotlandPoster
Beyer, N., Titzler, I., Berking, M., Ebert, D.D. The patients' view on blended depression treatmentScientific Meeting of the European Society of Research in Internet Interventions2015Warsaw, PolandTalk
Cerga-Pashoja, Arlinda, Doukani, Asmae, Araya, RicardoBlending a traditional approach for treating depression with innovative technology: The E-COMPARED trialMindTech, Mental Health Technology Symposium: Realising the Potential of Digital Mental Healthcare 2016London, EnglandPoster
Titzler, I., Schlicker, S., Ebert, D.D. E-Mental Health in der Praxis: Internet-basierte Interventionen in der Psychotherapie. Blended Therapy Konzepte. Workshopkongress für Klinische Psychologie und Psychotherapie2017Chemnitz, GermanyWorkshop
Titzler, I., Berking, M., Ebert, D. D. Eine Kombinationsbehandlung von Einzel-Ultrakurzzeit-Therapie und internet-basierter KVT bei Depression als zusätzliche Säule in der Gesundheitsversorgung? Qualitative Studien über die Perspektive von Hausärzten und Therapeuten zur Implementation von Blended e-Mental Health Angeboten.35. Symposium der Fachgruppe Klinische Psychologie und Psychotherapie der DGPs2017Chemnitz, GermanyTalk
Titzler, I., Berking, M., Riper, H., Ebert, D. D.Wirksamkeit einer Kombinationsbehandlung von Einzel-Ultrakurzzeit-Therapie und internet-und mobil-basierter KVT im Vergleich zur Hausärztlichen Routinebehandlung bei Depression. Ergebnisse einer randomisiert-kontrollierten Studie 35. Symposium der Fachgruppe Klinische Psychologie und Psychotherapie der DGPs2017Chemnitz, GermanyTalk
Ebert, D. D. & Titzler, I. Experiences with blended therapyRound table about future implementation possibilities of blended video-based therapy at Bavarian association of psychological psychotherapists2017Munich, GermanyRound table
Titzler, I., Beyer, N., Berking, M., Ebert, D. D.E-COMPARED: Wirksamkeit und Kosteneffizienz einer Einzel-Ultrakurzzeit-Therapie mit internet-und mobil-basierter KVT im Vergleich zur Hausärztlichen Routinebehandlung bei Depression - eine randomisiert-kontrollierte Studie5. Bayerischer Tag der Telemedizin2017Munich, GermanyPoster