Research Projects

Department Projects

Selected Publications of the Department

1) Precision mental health, personalized psychotherapy, and treatment selection:

  • Deisenhofer, A. K., Hehlmann, M. I., Rubel, J. A., Lutz, W., Schwartz, B., Bräscher, A. K., Christiansen, H., Fehm, L., Glombiewski, J. A., Heider, J., Helbig-Lang, S., Hermann, A., Hoyer, J., In-Albon, T., Lincoln, T., Margraf, J., Risch, A. K., Schöttke, H., Schulze, L., Stark, R., … Odyniec, P. (2024). Love yourself as a therapist, doubt yourself as an institution? Therapist and institution effects on outcome, treatment length, and dropout. Psychotherapy Research, 1–14. Advance online publication. https://doi.org/10.1080/10503307.2024.2352749
  • Delgadillo, J., & Lutz, W. (2020). A Development Pathway Towards Precision Mental Health Care. JAMA Psychiatry, 77(9), 889–890. https://doi.org/10.1001/jamapsychiatry.2020.1048
  • Lutz, W., Rubel, J. A., Schwartz, B., Schilling, V., & Deisenhofer, A. K. (2019). Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN). Behaviour Research and Therapy, 120, 103438. https://doi.org/10.1016/j.brat.2019.103438
  • Lutz, W., Schwartz, B., Martín Gómez Penedo, J., Boyle, K., & Deisenhofer, A. K. (2020). Working Towards the Development and Implementation of Precision Mental Healthcare: An Example. Administration and Policy in Mental Health, 47(5), 856–861. https://doi.org/10.1007/s10488-020-01053-y
  • Lutz, W., Vehlen, A., & Schwartz, B. (2024). Data-informed psychological therapy, measurement-based care, and precision mental health. Journal of Consulting and Clinical Psychology, 92(10), 671–673. https://doi.org/10.1037/ccp0000904
  • Moggia, D., Bennemann, B., Schwartz, B., Hehlmann, M. I., Driver, C. C., & Lutz, W. (2023). Process-Based psychotherapy personalization: considering causality with continuous-time dynamic modeling. Psychotherapy Research, 33(8), 1076–1095. https://doi.org/10.1080/10503307.2023.2222892
  • Schwartz, B., Cohen, Z. D., Rubel, J. A., Zimmermann, D., Wittmann, W. W., & Lutz, W. (2021). Personalized treatment selection in routine care: Integrating machine learning and statistical algorithms to recommend cognitive behavioral or psychodynamic therapy. Psychotherapy Research, 31(1), 33–51. https://doi.org/10.1080/10503307.2020.1769219

 

2) Measurement based care, outcome, monitoring, treatment adaptation, and clinical support tools: 

  • Barkham, M., De Jong, K., Delgadillo, J., & Lutz, W. (2023). Routine Outcome Monitoring (ROM) and Feedback: Research Review and Recommendations. Psychotherapy Research, 33(7), 841–855. https://doi.org/10.1080/10503307.2023.2181114
  • Bennemann, B., Schwartz, B., Giesemann, J., & Lutz, W. (2022). Predicting patients who will drop out of out-patient psychotherapy using machine learning algorithms. The British Journal of Psychiatry, 220, 1-10. https://doi.org/10.1192/bjp.2022.17
  • Lutz, W., Deisenhofer, A., Weinmann-Lutz, B. & Barkham, M. (2023). Data-informed clinical training and practice. In American Psychological Association eBooks (S. 191–213). https://doi.org/10.1037/0000364-010
  • Lutz, W., Rubel, J. A., Schwartz, B., Schilling, V., & Deisenhofer, A. K. (2019). Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN). Behaviour Research and Therapy, 120, 103438. https://doi.org/10.1016/j.brat.2019.103438
  • Schaffrath, J., Weinmann-Lutz, B., & Lutz, W. (2022). The Trier Treatment Navigator (TTN) in action: Clinical case study on data-informed psychological therapy. Journal of Clinical Psychology, 78(10), 2016–2028. https://doi.org/10.1002/jclp.23362

 

3) Network perspective on case conceptualization, treatment outcome and processes: 

  • Lutz, W., Schwartz, B., Deisenhofer, A. K., Schaffrath, J., Eberhardt, S. T., Bommer, J., Vehlen, A., Moggia, D., Poster, K., Weinmann-Lutz, B., Rubel, J. A., & Hehlmann, M. I. (2024). From theory to practice: A transtheoretical treatment and training model (4TM). Clinical Psychology in Europe, 6(Special Issue), e12421. https://doi.org/10.32872/cpe.12421
  • Lutz, W., Schwartz, B., Hofmann, S. G., Fisher, A. J., Husen, K., & Rubel, J. A. (2018). Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study. Scientific Reports, 8(1), 7819. https://doi.org/10.1038/s41598-018-25953-0
  • Moggia, D., Schaffrath, J., Bommer, J., Weinmann-Lutz, B., & Lutz, W. (2022). Data-Informed Case Formulation with The Trier Treatment Navigator (TTN). Revista de Psicoterapia, 33, 151-171. https://doi.org/10.33898/rdp.v33i123.35971
  • Rubel, J., Fisher, A., Husen, K., & Lutz, W. (2018). Translating Person-Specific Network Models into Personalized Treatments. Development and Demonstration of the Dynamic Assessment Treatment Algorithm for Individual Networks (DATA-IN). Psychotherapy and Psychosomatics, 87. https://doi.org/10.1159/000487769

 

4) Research on clinical training and micro techniques/skills:

  • Boyle, K., Deisenhofer, A. K., Rubel, J. A., Bennemann, B., Weinmann-Lutz, B., & Lutz, W. (2020). Assessing treatment integrity in personalized CBT: the inventory of therapeutic interventions and skills. Cognitive Behaviour Therapy, 49(3), 210–227. https://doi.org/10.1080/16506073.2019.1625945
  • Bommer, J., Schaffrath, J., Deisenhofer, A.-K. (2025). Die Umsetzung von klinischen Basisfertigkeiten durch angehende Psychotherapeut:innen im Verlauf ihrer psychotherapeutischen Aus- und Weiterbildung. PPmP-Psychotherapie · Psychosomatik · Medizinische Psychologie. https://doi.org/10.1055/a-2546-7132
  • Bommer, J., Lutz, W., & Deisenhofer, A.-K. (2025). Assessing Clinical Microskills in Deliberate Practice Exercises: Validation of the Clinical Micro-Skill Training (CMST) Scale. Psychotherapy Research. https://doi.org/10.1080/10503307.2025.2485156
  • Deisenhofer, A. K., Meyer, L., Schaffrath, J., Weinmann-Lutz, B., Poster, K., Bennemann, B., Prinz, J., & Lutz, W. (2022). Vermittlung psychotherapeutischer Fertigkeiten durch die Arbeit mit Simulationspatientinnen. Zeitschrift für Klinische Psychologie und Psychotherapie. https://doi.org/10.1026/1616-3443/a000634
  • Schaffrath, J., Bommer, J., Schwartz, B., Lutz, W., & Deisenhofer, A.-K. (2024). Where it all begins: Predicting initial therapeutic skills before clinical training in cognitive behavior therapy. PLOS ONE, 19(2), e0294183. https://doi.org/10.1371/journal.pone.0294183
  • Uhl, J., Schaffrath, J., Schwartz, B., Poster, K., & Lutz, W. (2022). Within and between associations of clinical microskills and correct application of techniques/strategies: A longitudinal multilevel approach. Journal of Consulting and Clinical Psychology, 90(6), 478–490. https://doi.org/10.1037/ccp0000738

 

5) Improving measurement and prediction using longitudinal data, video analysis, and machine learning methods: 

  • Eberhardt, S. T., Schaffrath, J., Moggia, D., Schwartz, B., Jaehde, M., Rubel, J. A., Baur, T., André, E., & Lutz, W. (2025). Decoding emotions: Exploring the validity of sentiment analysis in psychotherapy. Psychotherapy Research, 35(2), 174–189. https://doi.org/10.1080/10503307.2024.2322522
  • Hehlmann, M. I., Moggia, D., Schwartz, B., Driver, C., Eberhardt, S., & Lutz, W. (2024). Outcome prediction in psychological therapy with continuous time dynamic modeling of affective states and emotion regulation. Journal of Consulting and Clinical Psychology, 92(8), 517–530. https://doi.org/10.1037/ccp0000862
  • Lutz, W., Schwartz, B., Hofmann, S. G., Fisher, A. J., Husen, K., & Rubel, J. A. (2018). Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study. Scientific Reports, 8(1), 7819. https://doi.org/10.1038/s41598-018-25953-0
  • Mink, F., Lutz, W., & Hehlmann, M. I. (2025). Ecological Momentary Assessment in psychotherapy research: A systematic review. Clinical Psychology Review, 117, 102565. Advance online publication. https://doi.org/10.1016/j.cpr.2025.102565
  • Terhürne, P., Schwartz, B., Baur, T., Schiller, D., Eberhardt, S. T., André, E., & Lutz, W. (2022). Validation and application of the Non-Verbal Behavior Analyzer: An automated tool to assess non-verbal emotional expressions in psychotherapy. Frontiers in Psychiatry, 13, 1026015. https://doi.org/10.3389/fpsyt.2022.1026015
  • Uhl, J., Eberhardt, S., Schwartz, B., Rafaeli, E., & Lutz, W. (2024). Emotion dynamics of clients with test anxiety before and after an imagery-based treatment. Journal of Behavior Therapy and Experimental Psychiatry, 82, 101909. https://doi.org/10.1016/j.jbtep.2023.101909