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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 PDFEvaluating the Development, Reliability, and Validation of the Tele-Primary Care Oral Health Clinical Information System Questionnaire: Cross-Sectional Questionnaire Study.
JMIR Hum Factors
January 2025
Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras Kuala Lumpur, Malaysia.
Background: Evaluating digital health service delivery in primary health care requires a validated questionnaire to comprehensively assess users' ability to implement tasks customized to the program's needs.
Objective: This study aimed to develop, test the reliability of, and validate the Tele-Primary Care Oral Health Clinical Information System (TPC-OHCIS) questionnaire for evaluating the implementation of maternal and child digital health information systems.
Methods: A cross-sectional study was conducted in 2 phases.
Integrating ex situ biomimetic extraction analyses into contaminated sediment assessment and management decisions.
Integr Environ Assess Manag
January 2025
Department of Civil, Environmental, and Construction Engineering, Texas Tech University, Lubbock, TX, United States.
This study evaluated a novel ex situ passive sampling biomimetic extraction (BE) method to estimate toxic potency in sediments. Gas chromatography with flame ionization detection (GC-FID) analysis of polydimethylsiloxane fibers equilibrated with field sediments was used to quantify bioavailable polyaromatic hydrocarbons (PAHs) and other unresolved, site-specific contaminant mixtures. This method is biomimetic because contaminants partition to the fiber based on hydrophobicity and abundance, and GC-FID quantification accounts for all constituents absorbed to the fiber that may contribute to toxicity.
View Article and Find Full Text PDFHow Do People Living With Cancer Navigate Health Systems?: A Multi-Grounded Theory.
Cancer Nurs
January 2025
Authors' Affiliation: Centre for Community Health and Wellbeing, The University of Queensland, Springfield, Queensland, Australia.
Background: Cancer and its physiological and psychological effects are well defined, but how these factors impact health system navigation for people living with cancer (PLWC) is lacking.
Objective: To develop a theory explaining how PLWC navigate health systems to meet their health and well-being needs.
Methods: This study used multi-grounded theory to explain how PLWC navigate health systems to meet their needs.
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