The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN)
Abstract
In this study, a computer-based feedback, decision and clinical problem-solving system for clinical practice will be described - the Trier Treatment Navigator (TTN). The paper deals with the underlying research concepts related to personalized pre-treatment recommendations for drop-out risk and optimal treatment strategy selection as well as personalized adaptive recommendations during treatment. The development sample consisted of 1234 patients treated with cognitive behavioral therapy (CBT). Modern statistical machine learning techniques were used to develop personalized recommendations. Drop-out analyses resulted in seven significant predictors explaining 12.0% of variance. The prediction of optimal treatment strategies resulted in differential prediction models substantially improving effect sizes and reliable improvement rates. The dynamic failure boundary reliably identified patients with a higher risk for no improvement or deterioration and indicated the usage of clinical problem-solving tools in risk areas. The probability to be reliably improved for patients identified as at risk for treatment failure was about half of the probability for other patients (35% vs. 62.15%; χ 2df=1 = 82.77, p < .001). Results related to the computer-based feedback system are discussed with regard to the implication for clinical applications as well as clinical training and future research possibilities.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“First, based on the patient's initial characteristics and a dataset of already treated patients, the TTN predicts the optimal treatment strategy (i.e., problem-solving, motivation-oriented or mixed) for the individual patient.”
From Data-Informed Case Formulation with the Trier Treatment Navigator (2022) · cites this paper as Lutz et al., 2019
In the citing paper
“When the alert of one of these areas is activated, the therapist can access the CSTs that guide how to address that particular area (e.g., a clinical guideline on how to work on motivation to change).”
From Data-Informed Case Formulation with the Trier Treatment Navigator (2022) · cites this paper as Lutz et al., 2019
In the citing paper
“The TTN offers personalized clinical recommendations, helps monitor the process and provides clinical support tools (CSTs) for patients who are not improving as expected.”
From Data-Informed Case Formulation with the Trier Treatment Navigator (2022) · cites this paper as Lutz et al., 2019
In the citing paper
“Second, during treatment, the feedback system comprises an expected treatment response (i.e., predicted trajectory of progress for the patient) and a dynamic failure boundary informed by specific patient's pre-treatment features and the experienced change progress.”
From Data-Informed Case Formulation with the Trier Treatment Navigator (2022) · cites this paper as Lutz et al., 2019
In the citing paper
“Additionally, the TTN estimates the patient dropout probability and offers the results of the psychometrical initial assessment.”
From Data-Informed Case Formulation with the Trier Treatment Navigator (2022) · cites this paper as Lutz et al., 2019
In the citing paper
“When a patient is not progressing as expected, the TTN generates an alert signal, and CSTs are activated according to the assessment of critical areas that might hinder the change process (i.e., suicidality risk, motivation to change and therapy goals, therapeutic alliance, social support and critical life events, emotionand self-regulation).”
From Data-Informed Case Formulation with the Trier Treatment Navigator (2022) · cites this paper as Lutz et al., 2019
In the citing paper
“Additionally, two of the studies suffered from potential bias in their loss to follow-up [82,83].”
From Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review (2022) · cites this paper as [82]
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
ggplot2: Elegant Graphics for Data Analysis
Ginestet, C. E. (2011) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2010.00676_9.x · Cited by 14,511
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Jacobson, N. S., & Truax, P. (1991) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.59.1.12 · Cited by 7,770
Bergin and Garfield's Handbook of Psychotherapy and Behavior Change
Lambert, M. J. (2003) · Cited by 3,383
Big Data and Machine Learning in Health Care
Beam, A. L., & Kohane, I. S. (2018) · JAMA · doi:10.1001/jama.2017.18391 · Cited by 2,506
Shimokawa, K., Lambert, M. J., & Smart, D. W. (2010) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0019247 · Cited by 657
Evaluation of psychotherapy: Efficacy, effectiveness, and patient progress.
Howard, K. I., Moras, K., Brill, P. L., Martinovich, Z., & Lutz, W. (1996) · American Psychologist · doi:10.1037/0003-066x.51.10.1059 · Cited by 573
Self-citationA lab test and algorithms for identifying clients at risk for treatment failure.
Hannan, C. R., Lambert, M., Harmon, C., Nielsen, S. L., Smart, D., Shimokawa, K., & Sutton, S. (2005) · Journal of Clinical Psychology · doi:10.1002/jclp.20108 · Cited by 550
DeRubeis, R. J., Cohen, Z. D., Forand, N. R., Fournier, J. C., Gelfand, L. A., & Lorenzo-Luaces, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083875 · Cited by 509
Flagged first, then by citations
1 of the 54 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–197 of 197
eXplainable AI for routine outcome monitoring and clinical feedback
Westbye, H. J., Moltu, C., & McAleavey, A. A. (2024) · Counselling and Psychotherapy Research · doi:10.1002/capr.12764 · Cited by 5
A Vicious Cycle? Group-Level Analysis of Intra-Individual Dynamics in Mental Health Variables
Bommer, J., Schwartz, B., Klein, C., Rupp, J., Katalinic, A., Assmann, N., Borsche, M., Balck, A., Föh, B., Lutz, W., et al. (2024) · Cognitive Therapy and Research · doi:10.1007/s10608-024-10517-6 · Cited by 5
Self-citationAI–Augmented Psychosocial Interventions: A Bibliometric Review and Implications for Nursing
Yıldız, E. (2025) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20250214-01 · Cited by 10
Comparing three neural networks to predict depression treatment outcomes in psychological therapies
Schwartz, B., Giesemann, J., Delgadillo, J., Schaffrath, J., Hehlmann, M. I., Moggia, D., Baumann, C., & Lutz, W. (2025) · Behaviour Research and Therapy · doi:10.1016/j.brat.2025.104752 · Cited by 5
Self-citationData-Informed Advances and Technology Augmentation
Lutz, W. (2022) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2022.02.008 · Cited by 5
Self-citationHall, M., Wagner, A. A., Scherner, P. V., & Rubel, J. A. (2024) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.70013 · Cited by 9
Self-citationDemir, S., Bartholdy, S., Tewes, M., Brakemeier, E.-L., & Kaiser, T. (2025) · CBT: science into practice · doi:10.1007/978-3-031-90428-8_4 · Cited by 5
Senger, K., Rubel, J. A., Kleinstäuber, M., Schröder, A., Köck, K., Lambert, M. J., Lutz, W., & Heider, J. (2021) · Psychotherapy Research · doi:10.1080/10503307.2021.1993376 · Cited by 5
Self-citationNegative mood regulation as a mechanism of change in cognitive therapy for depression.
Areas, M., Penedo, J. M. G., Alalú, N., Babl, A. M., Roussos, A., & grosse Holtforth, M. (2021) · Psychotherapy · doi:10.1037/pst0000373 · Cited by 4
Moltu, C., van Sonsbeek, M. A. M. S., Bovendeerd, B., de Jong, K., Barkham, M., Sales, C. M. D., McAleavey, A. A., Mellor‐Clark, J., Schwartz, B., Nordberg, S. S., et al. (2025) · World Psychiatry · doi:10.1002/wps.21326 · Cited by 4
Self-citationRoemmel, N., Bahmane, S., Hadjistavropoulos, H. D., Nugent, M., Lieb, R., & Meinlschmidt, G. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-097651 · Cited by 4
Steinbrenner, T., Lalk, C., Targan, K., Schaffrath, J., Eberhardt, S. T., Haberkamp, A., Lutz, W., & Rubel, J. A. (2025) · Behaviour Research and Therapy · doi:10.1016/j.brat.2025.104857 · Cited by 5
Self-citationEarly response as a prognostic indicator in person-centered experiential therapy for depression.
Duffy, K. E. M., Simmonds‐Buckley, M., Saxon, D. H., Delgadillo, J., & Barkham, M. (2022) · Journal of Counseling Psychology · doi:10.1037/cou0000633 · Cited by 4
Automated segmentation of child-clinician speech in naturalistic clinical contexts
Bertamini, G., Furlanello, C., Chétouani, M., Cohen, D., & Venuti, P. (2025) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2024.104906 · Cited by 4
Praxisorientierte Psychotherapieforschung
Iovoli, F., & Rubel, J. A. (2023) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-2034-4896 · Cited by 4
Self-citationSchmidt, F., Hammerfald, K., Jahren, H. H., Solbakken, O. A., Payberah, A. H., & Vlassov, V. (2023) · IEEE International Conference on Digital Health (ICDH) · doi:10.1109/icdh60066.2023.00030 · Cited by 4
Page, A. C., Camacho, K. S., & Page, J. T. (2019) · Psychotherapy Research · doi:10.1080/10503307.2019.1662510 · Cited by 4
Zhou, Y., Chen, X., Liu, D., Pan, Y.-L., Hou, Y., Gao, T., Peng, F., Wang, X., & Zhang, X. (2022) · Psychotherapy Research · doi:10.1080/10503307.2022.2078680 · Cited by 5
Data-Informed Case Formulation with the Trier Treatment Navigator
Moggia, D., Schaffrath, J., Bommer, J., Weinmann-Lutz, B., & Lutz, W. (2022) · Revista de Psicoterapia · doi:10.33898/rdp.v33i123.35971 · Cited by 4
Self-citationMütze, K., Witthöft, M., & Bräscher, A. (2020) · Verhaltenstherapie · doi:10.1159/000510272 · Cited by 3
Knights, J., Bangieva, V., Passoni, M., Donegan, M. L., Shen, J., Klein, A. A., Baker, J. T., & Dubois, H. C. (2023) · International Journal of Mental Health Systems · doi:10.1186/s13033-023-00581-y · Cited by 3
Tait, J., Kellett, S., & Delgadillo, J. (2025) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2025.103003 · Cited by 4
Förderung persönlicher Kompetenzen in der psychotherapeutischen Aus- und Weiterbildung
Bennemann, B., Caspar, F., Evers, O., Laireiter, A., Lutz, W., Poster, K., Rief, W., Strauss, B. M., & Taubner, S. (2021) · Elsevier eBooks · doi:10.1016/b978-3-437-22601-4.00002-4 · Cited by 3
Self-citationCardace, F., Wester, R. A., Lutz, W., & Rubel, J. A. (2023) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2942 · Cited by 3
Self-citationBlackwell, S. E. (2024) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-023-01340-4 · Cited by 3
Nichtansprechen auf Psychotherapie: Konzepte, Problemstellungen, Zuweisungsoptionen
Hoyer, J., & Plag, J. (2024) · Der Nervenarzt · doi:10.1007/s00115-024-01633-5 · Cited by 3
How does early symptom change predict subsequent course of depressive symptoms during psychotherapy?
Fuhr, K., Werle, D., & Batra, A. (2021) · Psychology and Psychotherapy Theory Research and Practice · doi:10.1111/papt.12370 · Cited by 6
Boswell, J. F., Schwartzman, C. M., Constantino, M. J., Scharff, A., Muir, H. J., Gaines, A. N., King, B. R., & Kraus, D. R. (2023) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-023-01302-w · Cited by 4
Wester, R. A., Rubel, J. A., & Mayer, A. (2021) · doi:10.31234/osf.io/t5843 · Cited by 3
Self-citationDie neue Qualitätssicherung auf dem Prüfstand
Volz, M., & Benecke, C. (2024) · Psychotherapie · doi:10.30820/2364-1517-2024-2-73 · Cited by 2
Feedback im Psychotherapie-Training: Die Essenz jeglichen Fortschrittes
Caspar, F. (2025) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-2589-1965 · Cited by 2
Penedo, J. M. G., Coyne, A. E., Meglio, M., Fokkema, M., Wassmann, R., Lutz, W., & Rubel, J. A. (2025) · Behaviour Research and Therapy · doi:10.1016/j.brat.2025.104848 · Cited by 2
Self-citationTrajectories of change within cognitive behavioral therapy for psychosis
Ludwig, L., Frantz, I., Bracker, J., Wittkamp, M. F., Jung, E., Wiesjahn, M., Grund, S., & Lincoln, T. M. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaf150 · Cited by 3
Using classification trees to identify psychotherapy patients at risk for poor treatment adherence
Regan, T., McCredie, M. N., Harris, B., & Clark, S. L. (2023) · Psychotherapy Research · doi:10.1080/10503307.2023.2183911 · Cited by 3
Integrating exploration and prediction in computational psychotherapy science: proof of concept
Fisher, H., Stone, S. J., Zilcha‐Mano, S., Goldstein, P., & Anderson, T. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1274764 · Cited by 2
Personalización en Psicoterapia: Estado Actual y Desafíos para su Implementación en Latinoamérica
Manubens, R. T., Buongiorno, E., & Penedo, J. M. G. (2024) · Revista de Psicoterapia · doi:10.5944/rdp.v35i127.39808 · Cited by 2
Routine outcome monitoring (ROM) and feedback: Research review and recommendations.
Barkham, M., de Jong, K., Delgadillo, J., & Lutz, W. (2024) · American Psychological Association eBooks · doi:10.1037/0000409-026 · Cited by 2
Self-citationLutz, W., Clausen, S. A., Bennemann, B., Zimmermann, D., Prinz, J. N., Rubel, J. A., & Deisenhofer, A. (2019) · Verhaltenstherapie · doi:10.1159/000501026 · Cited by 2
Self-citationPsychotherapeutische Kompetenzen
Caspar, F., Deisenhofer, A., Evers, O., Laireiter, A., Lutz, W., Prinz, J. N., Rief, W., Strauss, B. M., & Taubner, S. (2021) · Elsevier eBooks · doi:10.1016/b978-3-437-22601-4.00001-2 · Cited by 3
Self-citationHehlmann, M. I., & Lutz, W. (2023) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-2137-8561 · Cited by 2
Self-citationBoettcher, J., Heinrich, M., Boettche, M., Burchert, S., Glaesmer, H., Gouzoulis‐Mayfrank, E., Heeke, C., Hernek, M., Knaevelsrud, C., Konnopka, A., et al. (2024) · Trials · doi:10.1186/s13063-023-07845-5 · Cited by 1
Ramsperger, S., Witthöft, M., & Bräscher, A. (2024) · Psychotherapy Research · doi:10.1080/10503307.2024.2334047 · Cited by 1
Prediction of adolescent psychotherapy outcomes using youth- and caregiver-reported symptoms data
Henderson, C. E., Woodard, G. S., Simmonds‐Buckley, M., Christensen, M. R., Jensen‐Doss, A., Douglas, S. R., & Delgadillo, J. (2024) · Psychotherapy Research · doi:10.1080/10503307.2024.2394187 · Cited by 1
Schwartz, B., Vehlen, A., Eberhardt, S. T., & Lutz, W. (2025) · CBT: science into practice · doi:10.1007/978-3-031-90428-8_13 · Cited by 1
Self-citationTargeted Learning for Optimal Patient Assignment to Psychotherapy
Malkki, V. K., Saarni, S. E., Lutz, W., & Rosenström, T. H. (2025) · Psychotherapy Research · doi:10.1080/10503307.2025.2517567 · Cited by 1
Self-citationSchwartz, B., Danilo Moggia, N., Lawrynowicz, J., Rubel, J. A., & Lutz, W. (2025) · Psychopathology · doi:10.1159/000546285 · Cited by 1
Self-citationNaim, R., Pandya, U., Shaughnessy, S., German, R. E., Henry, L. M., Kircanski, K., & Brotman, M. A. (2025) · Child and Adolescent Mental Health · doi:10.1111/camh.70039 · Cited by 1
Transforming psychological practice with precision mental health: introduction to the NOVA project
Roca, P., Noheda, S., Ramírez-Riveros, E., Martín-Azañedo, C., Martínez‐Zaragoza, F., Zangri, R. M., del Valle, E. P. G., Sanchez-Pedreño, M., León‐García, M., Gravholt, D. L., et al. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1775489 · Cited by 2
Furukawa, T. A., Noma, H., Kojima, M., Tajika, A., Toyomoto, R., Sakata, M., Luo, Y., Kosuke Inoue, Horikoshi, M., Akechi, T., et al. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-113603 · Cited by 1
The Trier Treatment Navigator (TTN)
Eberhardt, S. T., Vehlen, A., Wege, A., Stachelscheid, A., & Lutz, A. W. (2026) · Zeitschrift für Klinische Psychologie und Psychotherapie · doi:10.1026/1616-3443/a000858 · Cited by 1
Routine Outcome Monitoring Within Child and Adolescent Outpatient Psychotherapy
Huth, D., Ertl, S., Schwenck, C., Lindenberg, K., & Kolar, A. D. R. (2026) · Zeitschrift für Klinische Psychologie und Psychotherapie · doi:10.1026/1616-3443/a000859 · Cited by 1
Bringing Single-Case Experimental Designs Into Routine Care
Scholten, S., Glombiewski, J. A., Kolb-Grunder, L., Heider, J., Henrich, D., Herzog, P., Schemer, L., Stenkamp, S., & Haas, J. W. (2026) · Zeitschrift für Klinische Psychologie und Psychotherapie · doi:10.1026/1616-3443/a000868 · Cited by 1
Brakemeier, E., & Guhn, A. (2022) · Springer eBooks · doi:10.1007/978-3-662-65734-8_27 · Cited by 1
Potenziale für die PTBS-Behandlung
Eberhardt, S. T., Schaffrath, J., & Lutz, W. (2024) · Trauma und Gewalt · doi:10.21706/tg-18-4-288 · Cited by 1
Self-citationDemir, S., Brakemeier, E., & Kaiser, T. (2025) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2025.2589387 · Cited by 1
Mütze, K., Witthöft, M., & Bräscher, A. (2020) · Verhaltenstherapie · doi:10.1159/000509233 · Cited by 1
Lutz, W., Schöttke, H., & Deisenhofer, A. (2020) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-1214-7434 · Cited by 1
Self-citationWas können wir aus der Qualitätssicherung für die Praxis der Psychotherapie lernen?
Wasserheß, J., & Lutz, W. (2021) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-1484-2870 · Cited by 1
Self-citationBoyle, K. S., & Lutz, W. (2019) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-0996-3124 · Cited by 1
Self-citationThe distinction between psychometric and clinimetric approaches will not move the field forwardPreprint
Kaiser, T., Herzog, P., Lutz, W., Rief, W., Brakemeier, E., & Zimmermann, J. (2021) · doi:10.31234/osf.io/q5efb · Cited by 1
Self-citationPereira, P. E. C. (2022) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.47.2022.tde-07122022-082556 · Cited by 1
Evidenzbasierte-personalisierte Psychotherapie: psychometrisches Feedback in der Praxis
Deisenhofer, A., Boyle, K. S., & Lutz, W. (2019) · PiD - Psychotherapie im Dialog · doi:10.1055/a-0771-7901
Self-citationIntroduction to the Special Series on Practice-Based Research
Persons, J. B., & Codd, R. T. (2020) · Behavior Therapy · doi:10.1016/j.beth.2020.09.005
70 Jahre PPmP … und immer ein bisschen weiser?
Strauss, B. M. (2020) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-1276-2026
Methods of Clinical Psychology
Rubel, J. A., Hall, M., & Lutz, W. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818697-8.00076-5 · Cited by 1
Self-citationAllgemeine Aufgaben in der Psychotherapie
Boll-Klatt, A., Caspar, F., Deisenhofer, A., Lutz, W., Rubel, J. A., Schwartz, B., Stieglitz, R., Strauss, B. M., Teismann, T., & von Sydow, K. (2021) · Elsevier eBooks · doi:10.1016/b978-3-437-22601-4.00030-9
Self-citationMachine learning methods for predicting postpartum depression: A scoping review (Preprint)Preprint
Saqib, K., Khan, A. F., & Butt, Z. A. (2021) · doi:10.2196/preprints.29765
DeePsy: Představení online nástroje pro zpětnou vazbu v psychoterapii
Řiháček, T., Nehyba, J., Čevelíček, M., Polok, A., Matějka, P., & Doležal, P. (2023) · Psychoterapie · doi:10.5817/psy2023-1-1
Bovendeerd, B. (2024) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.918539934
Ecological Momentary Assessment in der Psychotherapieforschung
Mink, F., & Lutz, W. (2024) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-2339-5648
Self-citationSchmidt, F., Kurzawski, M. G., Hammerfald, K., Jahren, H. H., Solbakken, O. A., & Vlassov, V. (2024) · IEEE International Conference on Digital Health (ICDH) · doi:10.1109/icdh62654.2024.00024
Individualized Psychotherapy: A Review
Uzun, N. B., & Yorulmaz, O. (2024) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.1518900
Konzeptuelle Grundlagen von Psychotherapie-Integration und modularer Psychotherapie
Storck, T. (2024) · Die Psychotherapie · doi:10.1007/s00278-024-00759-w
Feedback Technology for Practice and Research
Eberhardt, S. T., Vehlen, A., Mink, F., Schwartz, B., & Lutz, W. (2025) · CBT: science into practice · doi:10.1007/978-3-031-90428-8_12
Self-citationIntroduction to Feedback-Informed Psychological Therapy
Rubel, J. A., & Lutz, W. (2025) · CBT: science into practice · doi:10.1007/978-3-031-90428-8_1
Self-citationThe TTN in Practice, Clinical Training, and Supervision
Hehlmann, M. I., Schaffrath, J., Deisenhofer, A., Weinmann‐Lutz, B., & Lutz, W. (2025) · CBT: science into practice · doi:10.1007/978-3-031-90428-8_3
Self-citationClinical Support Tools for Treatment Adaptation in Non-improving Cases
Delgadillo, J., de Jong, K., & Barkham, M. (2025) · CBT: science into practice · doi:10.1007/978-3-031-90428-8_6
Psychiatry at the turn of the century and a vision for future developments
Oquendo, M. A., Barrigón, M. L., & Baca‐García, E. (2025) · International Review of Psychiatry · doi:10.1080/09540261.2025.2591200 · Cited by 1
Reproducibility and Case Sensitivity of LLMs for Anonymizing Depressed Tweets
Mansha, S., Mahmood, H., Håkansson, A., Kamiran, F., & Vlassov, V. (2025) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa65442.2025.11247966
Boettcher, J., Heinrich, M., Boettche, M., Burchert, S., Glaesmer, H., Gouzoulis‐Mayfrank, E., Heeke, C., Hernek, M., Knaevelsrud, C., Konnopka, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26658565
Knights, J., Bangieva, V., Passoni, M., Donegan, M. L., Shen, J., Klein, A. A., Baker, J., & Dubois, H. C. (2024) · Figshare · doi:10.6084/m9.figshare.26602207
Knights, J., Bangieva, V., Passoni, M., Donegan, M. L., Shen, J., Klein, A. A., Baker, J., & Dubois, H. C. (2024) · Figshare · doi:10.6084/m9.figshare.26602198
Vousoura, E., Gergov, V., Tulbure, B. T., Camilleri, N., Saliba, A., Garcia-Lopez, L., Podina, I. R., Prevendar, T., Löffler‐Stastka, H., Chiarenza, G. A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16544055
Knights, J., Bangieva, V., Passoni, M., Donegan, M. L., Shen, J., Klein, A. A., Baker, J., & Dubois, H. C. (2024) · Figshare · doi:10.6084/m9.figshare.26602201
Knights, J., Bangieva, V., Passoni, M., Donegan, M. L., Shen, J., Klein, A. A., Baker, J., & Dubois, H. C. (2024) · Figshare · doi:10.6084/m9.figshare.26602204
Practice-Based Evidence and Data-Informed Psychological Therapy
Lutz, W., Hehlmann, M. I., Deisenhofer, A., Moggia, D., Schaffrath, J., Vehlen, A., Eberhardt, S. T., & Schwartz, B. (2026) · Oxford University Press eBooks · doi:10.1093/9780197748336.003.0003
Self-citationCompare, A., Tona, A. L., Masella, C., Olive, M. V., Brugnera, A., Ostwald, V., Carcione, A., Pievani, L., Poletti, B., Tasca, G. A., et al. (2026) · Trials · doi:10.1186/s13063-026-09693-5
Peerbooms, V., van den Boogaard, T. M., Wieser, M. J., & van der Heiden, C. (2026) · Clinical Psychology in Europe · doi:10.32872/cpe.17335
Griffioen, R. E., Haven-Pross, S. C., & Verkuil, H. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1832096
Predicting premature treatment termination in inpatient psychotherapy: A machine learning approach
Engstler, M., Lutz, W., Schwartz, B., Jennissen, S., Friederich, H., & Dinger, U. (2026) · Psychotherapy Research · doi:10.1080/10503307.2026.2710330
Self-citationAllgemeine Aufgaben in der Psychotherapie
Rief, W., Schramm, E., & Strauss, B. M. (2026) · Elsevier eBooks · doi:10.1016/b978-3-437-21352-6.00006-7
Förderung persönlicher Kompetenzen in der psychotherapeutischen Aus- und Weiterbildung
Rief, W., Schramm, E., & Strauss, B. M. (2026) · Elsevier eBooks · doi:10.1016/b978-3-437-21352-6.00002-x
Psychotherapeutische Kompetenzen
Rief, W., Schramm, E., & Strauss, B. M. (2026) · Elsevier eBooks · doi:10.1016/b978-3-437-21352-6.00001-8
GRU-Based Temporal Modeling of Multimodal Signals for Early Dropout in Psychotherapy
Leal, S. S., Ntalampiras, S., Trabacca, A., Bellani, M., & Sassi, R. (2026) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms69103.2026.00328
Maluenda-Gatica, R., Morán, J., Ríos, U., & MacBeth, A. M. (2026) · Research Square · doi:10.21203/rs.3.rs-9994651/v1
Teti, A., Gelo, O. C. G., Unterrainer, ., Urone, C., Lagetto, G., & Gullo, S. (2026) · Psychotherapy Research · doi:10.1080/10503307.2026.2744366
Cuijpers, P. J. (2026) · Behavior Therapy · doi:10.1016/j.beth.2026.10.003
Metadata
- Authors
- Lutz, W., Rubel, J. A., Schwartz, B., Schilling, V., & Deisenhofer, A.-K.
- Affiliations
- Universität Trier (DE)
- Corresponding author
- Lutz, Wolfgang
- Venue
- Behaviour Research and Therapy
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 120
- Pages
- 103438
- ISSN
- 0005-7967 (ISSN-L)
- OpenAlex
- W2956805281
- Cited by
- 196
- References
- 54
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 39 · 2023: 25 · 2022: 22 · 2021: 34 · 2020: 25 · 2019: 7
- FWCI
- 24.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour Research and Therapy (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (LU 660/8-1, LU 660/10-1)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- personalized feedback, cognitive behavioral therapy, treatment strategy selection, clinical problem solving, computer-based decision support, treatment failure prediction, clinical teaching, machine learning prediction models
- MeSH terms
- Clinical Decision-Making, Machine Learning, Adjustment Disorders, Adolescent, Adult, Aged, Anxiety Disorders, Mental Disorders, Feedback, Female, Humans, Male, Middle Aged, Patient Dropouts, Personality Disorders, Problem Solving, Surveys and Questionnaires, Stress Disorders, Post-Traumatic, Cognitive Behavioral Therapy, Mood Disorders, Decision Support Systems, Clinical, Young Adult, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
