Objective: To review the literature concerning the role and the inclusion of emergency psychiatric services in mental health networks.
Method: We performed a search in online databases (PubMed and SciELO) of empirical articles and reviews about emergency psychiatric services and networks of mental health services.
Results: Emergency psychiatric services are a core unit for a proper functioning of mental health networks, by both the management of emergencies itself, and the regulation of the network where it belongs. The emergency psychiatric services relate to all inpatient and outpatient services, allowing the organization of the flow of admissions and avoiding the overload of the network of mental health.The functions of emergency psychiatric services are broad and go beyond the simple referral for hospitalization, since clinical stabilization and psychosocial support can be reached in well structured emergency psychiatric services. In Brazil, these functions were expanded after the mental health reform and the burden of mental health network caused by difficulties and limitations of inpatient and outpatient services.
Conclusion: Emergency psychiatric services should be recovered and expanded; especially those located in general hospitals. It is suggested that investment in psychiatric emergencies should be a priority of the Brazilian public health policies for improving the mental health care.
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http://dx.doi.org/10.1590/s1516-44462010000600003 | DOI Listing |
Neuromodulation
January 2025
Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
Objectives: Biphasic sinusoidal repetitive transcranial magnetic stimulation (rTMS) is a noninvasive brain stimulation treatment that has been approved by the US Food and Drug Administration for treatment-resistant depression (TRD). Recent advances suggest that standard rTMS may be improved by altering the pulse shape; however, there is a paucity of research investigating pulse shape, owing primarily to the technologic limitations of currently available devices. This pilot study examined the feasibility, tolerability, and preliminary efficacy of biphasic and monophasic rectangular rTMS for TRD.
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View Article and Find Full Text PDFViruses
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Department of Toxicology, Drug Industry, Management and Legislation, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, 2nd Eftimie Murgu Sq., 300041 Timişoara, Romania.
The COVID-19 outbreak, caused by the SARS-CoV-2 virus, was linked to significant neurological and psychiatric manifestations. This review examines the physiopathological mechanisms underlying these neuropsychiatric outcomes and discusses current management strategies. Primarily a respiratory disease, COVID-19 frequently leads to neurological issues, including cephalalgia and migraines, loss of sensory perception, cerebrovascular accidents, and neurological impairment such as encephalopathy.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
The field of emotion recognition from physiological signals is a growing area of research with significant implications for both mental health monitoring and human-computer interaction. This study introduces a novel approach to detecting emotional states based on fractal analysis of electrodermal activity (EDA) signals. We employed detrended fluctuation analysis (DFA), Hurst exponent estimation, and wavelet entropy calculation to extract fractal features from EDA signals obtained from the CASE dataset, which contains physiological recordings and continuous emotion annotations from 30 participants.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Instituto de Estudios de Género, Universidad Carlos III de Madrid, Calle Madrid, 126, 28903 Getafe, Spain.
Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense, there are applications related to the safety and well-being of people (sexual assaults, gender-based violence, children and elderly abuse, mental health, etc.) that require even more improvements.
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