Predicting premature treatment termination in inpatient psychotherapy: A machine learning approach
- 31 July 2026
- journal article
- research article
- Published by Taylor & Francis in Psychotherapy Research
- p. 1-16
Abstract
Clinical or methodological significance of this article: Premature treatment termination in inpatient psychotherapy can have severe negative consequences for the individual patient and the mental h...Keywords
Funding Information
- Cusanuswerk
This publication has 41 references indexed in Scilit:
- Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forwardBehaviour Research and Therapy, 2023
- Predicting early dropout in online versus face-to-face guided self-help: A machine learning approachBehaviour Research and Therapy, 2022
- Therapist Interventions and Skills as Predictors of Dropout in Outpatient PsychotherapyBehavior Therapy, 2021
- Associations between patient personality, symptomatic change and therapy dropoutClinical Psychology & Psychotherapy, 2021
- Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN)Behaviour Research and Therapy, 2019
- In rape trauma PTSD, patient characteristics indicate which trauma-focused treatment they are most likely to completeDepression and Anxiety, 2018
- Therapist Effects on and Predictors of Non‐Consensual Dropout in PsychotherapyClinical Psychology & Psychotherapy, 2016
- Explaining prediction models and individual predictions with feature contributionsKnowledge and Information Systems, 2013
- What happened to the ones who dropped out? Outcome in eating disorder patients who complete or prematurely terminate treatmentEuropean Eating Disorders Review, 2009
- Der deutsche SF-36 Health Survey Übersetzung und psychometrische Testung eines krankheitsübergreifenden Instruments zur Erfassung der gesundheitsbezogenen LebensqualitätJournal of Public Health, 1995