Academic Journal
Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment
| Τίτλος: | Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment |
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| Συγγραφείς: | Blaß, Jakob, Iffland, Benjamin, Herzog, Philipp, Kaiser, Tim, Elbert, Thomas, Steuwe, Carolin |
| Πηγή: | Eur J Psychotraumatol European Journal of Psychotraumatology, Vol 16, Iss 1 (2025) |
| Στοιχεία εκδότη: | Informa UK Limited, 2025. |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | Adult, Male, RC435-571, Implosive Therapy, Dialectical Behavior Therapy, Stress Disorders, Post-Traumatic, Machine Learning, Narrative Exposure Therapy, Borderline Personality Disorder, Humans, internal validation, personalization, Psychiatry, Clinical Research Article, prediction models, Middle Aged, Treatment Outcome, Psychologie, Borderline personality disorder, posttraumatic stress disorder, treatment outcome, Female, Narrative Therapy, Dialectical Behavior Therapy-based treatment |
| Περιγραφή: | Background: A comorbidity between Borderline Personality Disorder (BPD) and Posttraumatic Stress Disorder (PTSD) is common, severely disabling, and hard to treat. The choice of an optimal psychotherapy based on patient characteristics remains challenging. Objective: This study develops models to predict the outcome of two psychotherapies for comorbid BPD and PTSD. Method: Data from two trials comparing Narrative Exposure Therapy (NET, N = 40) with Dialectical Behavior Therapy-based treatment (DBT-bt, N = 40) was analysed. A cross-validated genetic algorithm was used to detect baseline predictors of change in PTSD symptoms. Results: In the NET group higher education, more baseline PTSD symptoms, more traumatic experiences, fewer baseline BPD symptoms, and not taking antipsychotic medication predicted better treatment outcome. This model (RMSE = 8.98) outperformed the prediction of PTSD symptom reduction with baseline PTSD symptoms alone (RMSE = 10.07) or with all available predictor variables (RMSE = 12.97). Only more baseline PTSD symptoms were selected to predict a better treatment outcome after DBT-bt. This model (RMSE = 9.41) outperformed the prediction of change in PTSD symptoms with all available predictor variables (RMSE = 14.43). Conclusion: Differences in treatment outcome between NET and DBT-bt may be predictable at baseline, to identify which one of both treatments may be most beneficial for individual patients. The small sample size may restrict the generalizability of the results. Combined BPD and PTSD is a severely disabling, chronic, and hard to treat condition. We explored variables that might be able to predict differential treatment outcomes in a PTSD-specific and a BPD-specific treatment.Higher education, more baseline PTSD symptoms, more traumatic experiences, fewer baseline BPD symptoms, and not taking antipsychotic medication predicted better treatment outcome in the PTSD-specific treatment.Only more baseline PTSD symptoms predicted better treatment outcome in the BPD-specific treatment. Combined BPD and PTSD is a severely disabling, chronic, and hard to treat condition. We explored variables that might be able to predict differential treatment outcomes in a PTSD-specific and a BPD-specific treatment. Higher education, more baseline PTSD symptoms, more traumatic experiences, fewer baseline BPD symptoms, and not taking antipsychotic medication predicted better treatment outcome in the PTSD-specific treatment. Only more baseline PTSD symptoms predicted better treatment outcome in the BPD-specific treatment. |
| Τύπος εγγράφου: | Article Other literature type |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 2000-8066 |
| DOI: | 10.1080/20008066.2025.2497161 |
| DOI: | 10.6084/m9.figshare.28946243.v1 |
| DOI: | 10.6084/m9.figshare.28946243 |
| DOI: | 10.17169/refubium-47571 |
| Σύνδεσμος πρόσβασης: | https://pubmed.ncbi.nlm.nih.gov/40332758 https://doaj.org/article/d481ef2a93dc44738b3690c152e5e93d https://pub.uni-bielefeld.de/record/3003390 https://doi.org/10.1080/20008066.2025.2497161 |
| Rights: | CC BY NC CC BY URL: http://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (http://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....56ecd095a0a85b2cae995750d349abf5 |
| Βάση Δεδομένων: | OpenAIRE |
| ISSN: | 20008066 |
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| DOI: | 10.1080/20008066.2025.2497161 |