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Asylumseekers Experiencing Paranoid Delusions: A Virtual Reality Study
Rationale: Ethnic minorities and asylumseekers have a two- to three-times increased risk of psychosis compared to people from their host country. Among patients experiencing psychosis, paranoid delusions are a common symptom. Diagnostic assessments are challenging in this group because of language differences and sociocultural differences in interpersonal social behavior and communication. To fill this gap this research will make use of Virtual Reality (VR) to assess thoughts, behaviours and emotions in real-time. VR has a high ecological validity and its partial non-verbal nature has a clear potential in terms of a transcultural application among asylumseekers. Objective: The main objective of this study is to discover how asylumseekers with a psychotic disorder who are experiencing paranoid delusions behave and evaluate threat in a virtual environment. Secondary objectives: To assess the suitability and applicability of using VR within the specific population of asylumseekers with a psychotic disorder and paranoid delusions. Study design: The study uses a mixed-methods design, combining qualitative phenomenological data and descriptive quantitative data. Study population: Adult psychiatric patients that are seeking asylum in the Netherlands with a DSM-5 classification of a psychotic disorder and paranoid delusion (as measured by the PANSS) will be included. Furthermore, patients must receive mental health care from CTP Veldzicht, either in one of the wards (closed or open) or through ambulatory care. Intervention: The patients will be immersed in a VR-environment using a head mounted display. Four different VR-scenarios are used, each taking up three to four minutes. Using simple movement instructions, patients are asked to walk around and observe their environment. Main study parameters/endpoints: Phenomenological semi-structured interview. The interview measures the experience of participants in a qualitative matter. Audio recordings of the semi-structured
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