Introduction: A significant gap between the number of individuals who need mental health care and the ones who actually have access to it has been consistently demonstrated in studies conducted in different countries. Recognizing the barriers to care and their contributions to delaying or preventing access to mental health services is a key step to improve the management of mental health care. The Barriers to Access to Care Evaluation (BACE) scale is a 30-item self-report instrument conceived to evaluate obstacles to proper mental health care. The main constraint in the investigation of these barriers in Brazil is the lack of a reliable instrument to be used in the Brazilian social and cultural context.
Objective: To describe the translation and adaptation process of the BACE scale to the Brazilian social and cultural context.
Method: The translation and adaptation process comprised the following steps: 1) translation from English to Brazilian Portuguese by two authors who are Brazilian Portuguese native speakers, one of whom is a psychiatrist; 2) evaluation, comparison and matching of the two preliminary versions by an expert committee; 3) back-translation to English by a sworn translator who is an English native speaker; 4) correction of the back-translated version by the authors of the original scale; 5) modifications and final adjustment of the Brazilian Portuguese version.
Results And Conclusion: The processes of translation and adaptation described in this study were performed by the authors and resulted in the Brazilian version of a scale to evaluate barriers to access to mental health care.
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http://dx.doi.org/10.1590/2237-6089-2013-0022 | DOI Listing |
Neuromodulation
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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.
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View Article and Find Full Text PDFViruses
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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)
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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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