Background: Research suggests delusions may be better viewed as multidimensional rather than dichotomous phenomena. The aim of this study was to assess the reliability and validity of a German version of the Characteristics of Delusions Rating Scale (CDRS) as an expert rating scale.
Method: 200 inpatients with schizophrenic spectrum and affective disorders with delusions were assessed with the CDRS and other delusion rating scales. Factorial validity was analysed, and differences between diagnostic groups on the CDRS subscales as well as on the total score were examined.
Results: The CDRS was found to have good inter-rater reliability and internal consistency as an expert rating. Factor analysis yielded an interpretable structure with 3 factors - cognition, emotion and bizarreness - accounting for 70% of the variance. The convergent and differential validity of the scales was supported. Compared to other scales, the CDRS measures all dimensions of delusional experience that have been suggested to date with the exception of behavioural aspects.
Conclusions: The results support the view of delusions as multidimensional phenomena. The CDRS as an expert rating is a reliable and valid assessment tool for dimensions of delusional experience and an economical instrument for research and clinical practice. Further research is needed to examine the dimensional structure underlying delusional phenomena and the relationship of the dimensions to neurobiological and psychotherapeutic processes.
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http://dx.doi.org/10.1159/000321068 | DOI Listing |
JMIR AI
January 2025
Human-Computer Interaction and Human-Centered AI Systems Lab, AI for Healthcare Lab, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology, Hoboken, NJ, United States.
Background: Acute marijuana intoxication can impair motor skills and cognitive functions such as attention and information processing. However, traditional tests, like blood, urine, and saliva, fail to accurately detect acute marijuana intoxication in real time.
Objective: This study aims to explore whether integrating smartphone-based sensors with readily accessible wearable activity trackers, like Fitbit, can enhance the detection of acute marijuana intoxication in naturalistic settings.
J Adv Nurs
January 2025
Nursing Practice Development Unit, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Aim: To develop a nurse-initiated protocol for early ward-based interprofessional coordination and formulation of person-centred care plans to assist in point-of-care management of behaviour in older patients on general hospital wards.
Design: A modified e-Delphi method was employed to establish expert consensus.
Method: Multidisciplinary acute-care experts experienced in hospital care of patients with dementia and/or delirium in Australia were recruited by email from 35 professional networks.
World J Mens Health
November 2024
Department of Urology, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
Purpose: There is increased interest in regenerative therapies (RTs) to treat erectile dysfunction (ED). However, the need for society's guidelines has led to varied practices. This study aims to investigate current global practices, address the heterogeneity in treatment protocols and evaluations, and establish expert recommendations in clinical practice.
View Article and Find Full Text PDFCardiovasc Ther
January 2025
Department of Medical Biotechnology Central Research Laboratory MGM School of Biomedical Sciences MGM Institute of Health Sciences, Navi Mumbai, India.
The module was designed and developed at Heartfulness Institute, Kanha Shanti Vanam, Hyderabad. The Department of Medicine, MGM Medical College & Hospital, MGMIHS, Navi Mumbai, carried out the validation and subsequently pilot-tested on volunteers. Forty experts were selected to validate the contents of IAHFNM & YP which was designed after a thorough review of meditation and yoga literature.
View Article and Find Full Text PDFNat Sci Sleep
December 2024
Department of Otorhinolaryngology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Purpose: Obstructive sleep apnoea (OSA) is a common disease that benefits from early treatment and patient support in order to prevent secondary illnesses. This study assesses the capability of the large language model (LLM) ChatGPT-4o to offer patient support regarding first line positive airway pressure (PAP) and second line hypoglossal nerve stimulation (HGNS) therapy.
Methods: Seventeen questions, each regarding PAP and HGNS therapy, were posed to ChatGPT-4o.
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