Assessments and Measures in Psychotherapy Research: Going Beyond Self-Report Data

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Assessments and Measures in Psychotherapy Research: Going Beyond Self-Report Data is written by Jessica Uhl and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 2832534651 (ISBN 10) and 9782832534656 (ISBN 13).

Tailoring the treatment to the individual patient can improve the effectiveness of psychotherapy. To do so, the treatment or strategy with the best prognosis for the individual patient can be selected at the beginning of therapy. Furthermore, the therapeutic approach can be adapted during the course of treatment. To support the therapist in such decisions, prediction algorithms are used, which are able to process complex and comprehensive data (precision mental health). Statistical methods used in psychotherapy research to analyze data and develop predictive models have recently become more advanced. However, algorithms cannot do better than what the underlying data provide them in terms of information. Therefore, our predictions and recommendations could benefit from a broader range of data beyond the traditional patient- or therapist-rated questionnaires.