Friedl, Nadine (2020). Advances in psychotherapy research and precision mental health: Answering the “What works for whom” question for patients with depression. (Thesis). Universität Bern, Bern
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Abstract
The present doctoral thesis focuses on two articles which are embedded in the field of precision mental health and treatment selection. Study 1 examined if model determined treatment allocation to cognitive behavioral therapy (CBT) or CBT with integrated exposure and emotion-focused elements (CBT-EE) results in better treatment outcomes while using important predictors found for each intervention. Study 2 investigated important predictors in routine care and blended internet- and face-to-face CBT in secondary care, as well as treatment outcomes for treatment allocation using this predictive information. Both studies use a Bayesian approach called Bayesian Model Averaging (BMA) and the Personalized Advantage Index (PAI) for their statistical analyses. After an introduction to the Generic Model of Psychotherapy, the development of process and outcome research and the thematic field of treatment selection and precision medicine, the individual articles will be described and critically reflected in more detail. Possibilities and limits of predicting the optimal treatment for an individual based on algorithms are discussed based on the results of the two studies. Taken together, the two studies provide an important contribution to psychotherapy research as the feasibility of treatment selection using BMA and PAI is shown. Last but not least, implications for future research are discussed and an example of how treatment selection can be transferred into clinical practice is presented.
| Item Type: | Thesis |
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| Dissertation Type: | Cumulative |
| Date of Defense: | 15 June 2020 |
| Subjects: | 100 Philosophy > 150 Psychology 600 Technology > 610 Medicine & health |
| Institute / Center: | 07 Faculty of Human Sciences > Institute of Psychology > Clinical Psychology and Psychotherapy |
| Depositing User: | Hammer Igor |
| Date Deposited: | 23 Dec 2020 18:51 |
| Last Modified: | 15 Jun 2021 00:30 |
| URI: | https://boristheses.unibe.ch/id/eprint/2379 |
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