Feasibility of using virtual reality in geriatric psychiatry.

Objectives: Virtual Reality-based interventions have become an important element of digital mental health, offering accessible and scalable treatment options. However, studies on VR-based approaches in elderly patients are scarce. This explorative study examined the feasibility of using Virtual Reality (VR) for elderly patients with psychiatric illness, focusing on the sense of presence as the primary outcome.

Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis.

Background: Impairments in speech production are a core symptom of non-affective psychosis (NAP). While traditional clinical ratings of patients' speech involve a subjective human factor, modern methods of natural language processing (NLP) promise an automatic and objective way of analyzing patients' speech. This study aimed to validate NLP methods for analyzing speech production in NAP patients.

Loneliness in Elderly Inpatients.

Purpose: Loneliness among the elderly is a widespread phenomenon and is connected to various negative health outcomes. Nevertheless, loneliness among elderly inpatients, especially those with a psychiatric diagnosis, has hardly been examined. Our study assessed loneliness in elderly inpatients, identified predictors, and compared levels of loneliness between inpatients on psychiatric and somatic wards.

Structured Interventions to Optimize Polypharmacy in Psychiatric Treatment and Nursing Homes: A Systematic Review.

Background: Polypharmacy is a common clinical issue. It increases in prevalence with older age and comorbidities of patients and has been recognized as a major cause for treatment complications. In psychiatry, polypharmacy is also commonly seen in younger patients and can lead to reduced treatment satisfaction and incompliance.

Measuring Emotional Awareness in Patients With Schizophrenia and Schizoaffective Disorders.

The ability to mentalize (i.e., to form representations of mental states and processes of oneself and others) is often impaired in people with schizophrenia spectrum disorders.

Modeling Incoherent Discourse in Non-Affective Psychosis.

Background: Computational linguistic methodology allows quantification of speech abnormalities in non-affective psychosis. For this patient group, incoherent speech has long been described as a symptom of formal thought disorder. Our study is an interdisciplinary attempt at developing a model of incoherence in non-affective psychosis, informed by computational linguistic methodology as well as psychiatric research, which both conceptualize incoherence as associative loosening.