Ecological Momentary Assessment in der Psychotherapieforschung

Was wird erklärt?

Die Langzeit-Erfassung von individuellen Erlebens- und Verhaltensweisen im alltäglichen Umfeld von Patient:innen kann über querschnittliche Daten (z. B. Anfangsbelastung) hinaus Informationen und so Möglichkeiten zur Verbesserung der Personalisierung von psychotherapeutischen Prozessen liefern.

Publication History

Article published online:
05 July 2024

• Literatur

• 1 Cuijpers P, Miguel C, Harrer M. et al. Cognitive behavior therapy vs. control conditions, other psychotherapies, pharmacotherapies and combined treatment for depression: A comprehensive meta-analysis including 409 trials with 52,702 patients. World Psychiatry 2023; 22: 105-115
• 2 Delgadillo J, Lutz W. Precision Mental Health Care for Depression. In APA Handbook of Depression. 2023
• 3 Shiffman S, Stone AA, Hufford MR. Ecological Momentary Assessment. Annu Rev Clin Psychol 2008; 4: 1-32
• 4 Myin-Germeys I, Kuppens P. The open handbook of experience sampling methodology: A step-by-step guide to designing, conducting, and analyzing ESM studies. 2021
• 5 Hehlmann MI, Moggia D, Schwartz B. et al. Outcome prediction in psychological therapy with continuous time dynamic modeling of affective states and emotion regulation. J Consult Clin Psychol. (in press)
• 6 Husen K, Rafaeli E, Rubel JA. et al. Daily affect dynamics predict early response in CBT: Feasibility and predictive validity of EMA for outpatient psychotherapy. J Affect Disord 2016; 206: 305-314
• 7 Lutz W, Schwartz B, Hofmann SG. et al. Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of- concept study. Sci Rep 2018; 8: 7819
• 8 Snippe E, Smit AC, Kuppens P. et al. Recurrence of depression can be foreseen by monitoring mental states with statistical process control. J Psychopathol Clin Sci 2023; 132: 145-155
• 9 Jacobson NC, Weingarden H, Wilhelm S. Using Digital Phenotyping to Accurately Detect Depression Severity. J Nerv Ment Dis 2019; 207
• 10 Piccirillo ML, Rodebaugh TL. Personalized networks of social anxiety disorder and depression and implications for treatment. Journal of Affective Disorders 2022; 298: 262-276
• 11 Burger J, Epskamp S, Van Der Veen DC. et al. A clinical PREMISE for personalized models: Toward a formal integration of case formulations and statistical networks. Journal of Psychopathology and Clinical Science 2022; 131: 906-916
• 12 Bringman LF, Albers C, Bockting C. et al. Psychopathological networks: Theory, methods and practice. Behaviour Research and Therapy 2022; 149: 104011
• 13 Bos FM, Snippe E, Bruggeman R. et al. Insights of Patients and Clinicians on the Promise of the Experience Sampling Method for Psychiatric Care. Psychiatric Services 2019; 70: 983-991
• 14 Rimpler A, Siepe BS, Rieble CL. et al. Introducing FRED: Software for Generating Feedback Reports for Ecological Momentary Assessment Data. Administration and Policy in Mental Health and Mental Health Services Research 2024;
• 15 Scholten S, Lischetzke T, Glombiewski JA. Integrating theory-based and data-driven methods to case conceptualization: A functional analysis approach with ecological momentary assessment. Psychotherapy Research 2022; 32: 52-64
• 16 Lutz W, Rubel JA, Schwartz B. et al. Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN). Behaviour research and therapy 2019; 120: 103438