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Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review.
JMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFHarnessing Human-Centered Design for Evidence-Based Psychosocial Interventions and Implementation Strategies in Community Settings: Protocol for Redesign to Improve Usability, Engagement, and Appropriateness.
JMIR Res Protoc
January 2025
Division of Services and Interventions Research, National Institute of Mental Health, Bethesda, MD, United States.
Background: Although substantial progress has been made in establishing evidence-based psychosocial clinical interventions and implementation strategies for mental health, translating research into practice-particularly in more accessible, community settings-has been slow.
Objective: This protocol outlines the renewal of the National Institute of Mental Health-funded University of Washington Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness Center, which draws from human-centered design (HCD) and implementation science to improve clinical interventions and implementation strategies. The Center's second round of funding (2023-2028) focuses on using the Discover, Design and Build, and Test (DDBT) framework to address 3 priority clinical intervention and implementation strategy mechanisms (ie, usability, engagement, and appropriateness), which we identified as challenges to implementation and scalability during the first iteration of the center.
Cognitive Impairments in Viral Hepatitis Patients: Causes, Manifestations, and Impact on Quality of Life.
Rambam Maimonides Med J
January 2025
Department of Neurosurgery, South Kazakhstan Medical Academy, Shymkent, Republic of Kazakhstan.
Viral hepatitis, primarily caused by hepatitis B virus and hepatitis C virus, is widely recognized for its impact on liver function, but emerging evidence suggests it also affects cognitive function. This review explores the causes, manifestations, and impact of cognitive impairments in patients with viral hepatitis, to better understand this often-overlooked aspect of the disease. A literature review was conducted, focusing on studies published in PubMed up to August 2024.
View Article and Find Full Text PDFAnalyzing the effectivity of evidence-based practice in health science higher education: a narrative review.
Sao Paulo Med J
January 2025
Professor, Master's Program in Innovation in Higher Education in Health, Universidade Municipal de São Caetano do Sul (USCS), São Caetano do Sul (SP), Brazil.
Background: Although multiple strategies have been suggested for evidence-based practice educational interventions, few studies have focused on the development of abilities for evidence-based practice implementation.
Objective: To explore the effectiveness of evidence-based practice in higher education and understand its teaching methods.
Design And Setting: Narrative review was conducted at the Universidade Municipal de São Caetano do Sul, Brazil.
Between the streets and the RAPS: Integrative review on the access of the homeless population to Mental Health Services.
Cien Saude Colet
January 2025
Instituto René Rachou, Fundação Oswaldo Cruz (Fiocruz Minas). Av. Augusto de Lima 1715, Barro Preto. 30190-002 Belo Horizonte MG Brasil.
This integrative review systematized the factors that influence access to mental health services for the Homeless Population (HP) in harmful use of alcohol and other drugs in the Psychosocial Care Network (RAPS) in Brazil by categorizing the factors into access "barriers" and "facilitators". We selected 13 corresponding articles and subsequently assessed their methodological quality. We identified 19 access barriers and 22 access facilitators, observing a convergence and complementarity of the factors identified, with no disagreements between authors.
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