There is many changes in psychiatric service last years. In deinstitutionalization process arising new diversified and wide integrated psychiatric services. Traditional names lose significance for example: open or stationary care. Moreover the same names, have different meaning in different centers or countries. Because of that processes in year 1997 EPCAT group with funding from European Commission Biomed grant developed ESMS instrument by Sonia Johnson and Robert Kuhlmann, to modern description and classification of psychiatric services. Instrument is based on standardizing classification accessible services, with different care models in Europe. In this work authors presented structure of questionnaire and typical applications in catchment areas. That compatible with European standards of psychiatric service instrument, portray gaps in old standards system and indicate developmental trends new psychiatric health service in medical care. Instrument ESMS indicates another possibilities in service study area for example analysis and comparison individual service components and helps in planning local development of psychiatric care services.
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Early Interv Psychiatry
February 2025
Orygen, Parkville, Victoria, Australia.
Aim: Accurate and appropriate cognitive screening can significantly enhance early psychosis care, yet no screening tools have been validated for the early psychosis population and little is known about current screening practices, experiences, or factors that may influence implementation. CogScreen is a hybrid type 1 study aiming to validate two promising screening tools with young people with first episode psychosis (primary aim) and to understand the context for implementing cognitive screening in early psychosis settings (secondary aim). This protocol outlines the implementation study, which aims to explore the current practices, acceptability, feasibility and determinants of cognitive screening in early psychosis settings from the perspective of key stakeholders.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, United States.
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured EHR text into structured features, which can then be integrated into statistical prediction models, ensuring that the results are both clinically meaningful and interpretable.
Objective: This study aims to compare the classification decisions made by clinical experts with those generated by a state-of-the-art LLM, using terms extracted from a large EHR data set of individuals with mental health disorders seen in emergency departments (EDs).
JMIR Form Res
January 2025
Interdisciplinary Centre for Health Technology Assessment and Public Health, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, Erlangen, 91054, Germany, 49 162-2463579.
Background: Dementia is a growing global health challenge with significant economic and social implications. Underdiagnosis of dementia is prevalent due to a lack of knowledge and understanding among the general population. Enhancing dementia literacy through improved health information-seeking behavior is crucial for the self-determined management of the disease by those affected.
View Article and Find Full Text PDFBiol Psychiatry
January 2025
Department of Medicine and Medical Specialities, CIBEREHD, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain; Ramón y Cajal Institute of Sanitary Research (IRYCIS), 28034 Madrid, Spain. Electronic address:
Post-Traumatic Stress Disorder (PTSD) is a debilitating condition caused by exposure to traumatic events, affecting 5-10% of the population, with increased prevalence among women and individuals in war zones. Beyond psychological symptoms, PTSD induces significant physiological changes across systems. Psychoneuroimmunoendocrinology (PNIE) offers a framework to explore these complex interactions between the psyche and the nervous, immune, and endocrine systems.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
The Samueli Initiative for Responsible AI in Medicine, Tel Aviv University, Tel Aviv, Israel.
Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI's capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation.
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