Introduction: An updated summary of the most used instruments assessing auditory hallucinations in population with psychosis, allows us to underline the scarceness and need of Spanish versions of important instruments. The aim of the study is to examine the psychometric characteristics of two different and complementary instruments for assessing auditory hallucinations, the Spanish version of the Auditory Vocal Hallucination Scale (AVHRS) and the Spanish version of the Positive and Useful Voices Inquiry (PUVI).
Materials And Methods: A sample of 68 patients from four different centres, with a DSM-IV diagnosis of schizophrenia or schizoaffective disorder presenting with auditory hallucinations were included. Apart from the AVHRS and the PUVI, the Psychotic Symptom Rating Scales-Auditory Hallucinations subscale (PSYRATS-AH) and the Positive and Negative Syndrome Scale (PANSS) were also administered to all patients, plus an acceptability questionnaire.
Results: The Spanish version of the AVHRS showed a good internal consistency, a moderate to high inter-rater reliability, a medium to moderate test-retest reliability, and a good convergent and discriminant validity. The Spanish version of the PUVI showed a good internal consistency and a heterogeneous, but in general moderate, test-retest reliability.
Conclusions: The Spanish versions of the AVHRS and the PUVI have good psychometric properties and are well accepted among patients.
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http://dx.doi.org/10.1016/j.rpsm.2020.03.002 | DOI Listing |
Cureus
November 2024
Medicine, Hospital Vila Franca de Xira, Vila Franca de Xira, PRT.
Buckwheat () is a seed increasingly used as a gluten-free alternative, particularly by individuals with gluten-sensitive enteropathy. While rich in vitamins and minerals, it may also contain toxic secondary metabolites. The authors present a case of a 49-year-old female patient, admitted to the emergency department with a four-hour history of psychomotor agitation, confusion, and mydriasis.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Neurology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Visual hallucinations (VH) and pareidolia, a type of minor hallucination, share common underlying mechanisms. However, the similarities and differences in their brain regions remain poorly understood in Parkinson's disease (PD). A total of 104 drug-naïve PD patients underwent structural MRI and were assessed for pareidolia using the Noise Pareidolia Test (NPT) were enrolled.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Centre for Healthy Brain Ageing, Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
Introduction: Neuropsychiatric symptoms (NPSs) are common in dementia with Lewy bodies (DLB) but their neurobiological mechanisms are poorly understood.
Methods: NPSs and cognition were assessed annually in participants (DLB n = 222; Alzheimer's disease [AD] n = 125) from the European DLB (E-DLB) Consortium, and plasma phosphorylated tau-181 (p-tau181) and p-tau231 concentrations were measured at baseline.
Results: Hallucinations, delusions, and depression were more common in DLB than in AD and, in a subgroup with longitudinal follow-up, persistent hallucinations and NPSs were associated with lower p-tau181 and p-tau231 in DLB.
Sci Rep
December 2024
College of Nursing, Binzhou Medical University, Yantai, Shandong Province, China.
Breast cancer is one of the most common malignant tumors in women worldwide. Although large language models (LLMs) can provide breast cancer nursing care consultation, inherent hallucinations can lead to inaccurate responses. Retrieval-augmented generation (RAG) technology can improve LLM performance, offering a new approach for clinical applications.
View Article and Find Full Text PDFJ Pers Med
November 2024
Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Large language models (LLMs) show promise in healthcare but face challenges with hallucinations, particularly in rapidly evolving fields like diabetes management. Traditional LLM updating methods are resource-intensive, necessitating new approaches for delivering reliable, current medical information. This study aimed to develop and evaluate a novel retrieval system to enhance LLM reliability in diabetes management across different languages and guidelines.
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