Background: Northern-based research on mental health support, no matter the specific profession, helps to inform instruction of new practitioners and practitioners already working in rural or isolated conditions. Understanding the complexities of northern mental health support not only benefits clients and practitioners living in the North, but also helps prepare psychologists and counsellors preparing to work in other countries with large rural and isolated populations. The qualitative phase is part of a multi-year research study on informal and formal mental health support in northern Canada involving the use of qualitative and quantitative data collection and analysis methods.
Objective: The main objective of the qualitative phase interviews was to document in-depth the situation of formal and informal helpers in providing mental health support in isolated northern communities in northern British Columbia, northern Alberta, Yukon and Northwest Territories (NWT). The intent of in-depth interviews was to collect descriptive information on the unique working conditions of northern helping practitioners for the development of a survey and subsequent community action plans for helping practitioner support.
Design: Twenty participants in northern BC, Yukon and NWT participated in narrative interviews. Consensual qualitative research (CQR) was used in the analysis completed by 7 researchers. The principal researcher and research associate then worked through all 7 analyses, defining common categories and themes, and using selections from each researcher in order to ensure that everyone's analysis was represented in the final consensual summary.
Results: The preliminary results include 7 main categories consisting of various themes. Defining elements of northern practice included the need for generalist knowledge and cultural sensitivity. The task of working with and negotiating membership in community was identified as essential for northern mental health support. The need for revised codes of ethics relevant to the reality of northern work was a major category, as was insight on how to best sustain northern practice.
Conclusion: Many of the practitioners who participated in this study have found ways to overcome the biggest challenges of northern practice, yet the limitations of small populations and lack of resources in small communities to adequately address mental health support were identified as existing. Empowering communities by building community capacity to educate, supervise and support formal and informal mental health workers may be the best approach to overcoming the lack of external resources.
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http://dx.doi.org/10.3402/ijch.v72i0.21203 | DOI Listing |
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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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