61 Medizin und Gesundheit
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Background
Psychotherapy is highly effective and widely acknowledged for treating various mental disorders. Nevertheless, in terms of methods for teaching effective psychotherapeutic approaches and competencies, there has been a lack of investigation. Training and supervision are the main strategies for teaching therapist competencies, and standardized role-plays with simulated patients (i.e., trained individuals playing someone with a mental disorder) seem useful for evaluating training approaches. In medical education, this procedure is now internationally established. However, so far, little use has been made of standardized role-playing to evaluate training and supervision in the area of clinical psychology and psychotherapy.
Methods
In this study, standardized role-plays are used to evaluate methods for training and supervision. Central cognitive behavioral approaches for treating depression are taught in the training. The first experiment compares an active training approach (i.e., model learning) with a passive one (i.e., reading manual-based instructions). The second experiment compares a direct supervision technique (i.e., supervision based on video analysis) with an indirect one (i.e., supervision based on verbal reporting). In each experiment, 68 bachelor’s and master’s students of psychology will be randomly assigned to the experimental and control groups. Each student takes part in three role-plays (baseline, post and 3-month follow-up), which are all videotaped. Two independent raters assess therapist competencies in each role-play on the basis of a standardized competence scale.
Discussion
The research project aims to contribute to the development of specific training and supervision methods in order to improve psychotherapy training and patient care.
Plants located adjacent to agricultural fields are important for maintaining biodiversity in semi-natural landscapes. To avoid undesired impacts on these plants due to herbicide application on the arable fields, regulatory risk assessments are conducted prior to registration to ensure proposed uses of plant protection products do not present an unacceptable risk. The current risk assessment approach for these non-target terrestrial plants (NTTPs) examines impacts at the individual-level as a surrogate approach for protecting the plant community due to the inherent difficulties of directly assessing population or community level impacts. However, modelling approaches are suitable higher tier tools to upscale individual-level effects to community level. IBC-grass is a sophisticated plant community model, which has already been applied in several studies. However, as it is a console application software, it was not deemed sufficiently user-friendly for risk managers and assessors to be conveniently operated without prior expertise in ecological models. Here, we present a user-friendly and open source graphical user interface (GUI) for the application of IBC-grass in regulatory herbicide risk assessment. It facilitates the use of the plant community model for predicting long-term impacts of herbicide applications on NTTP communities. The GUI offers two options to integrate herbicide impacts: (1) dose responses based on current standard experiments (acc. to testing guidelines) and (2) based on specific effect intensities. Both options represent suitable higher tier options for future risk assessments of NTTPs as well as for research on the ecological relevance of effects.