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Constructing TheKeep.Ca With Thrivers of Cancer in Manitoba, Canada, in Support of Enhancing Patient Engagement: Protocol for a Pragmatic Multimethods Study.
JMIR Res Protoc
January 2025
College of Nursing, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Background: TheKeep.Ca was built to facilitate engagement with those experiencing cancer in Manitoba, Canada. Constructed between 2020 and 2024 with a group of patient advisors, the website includes information on engagement activities including research participation, the patient advisor role, and how those experiencing cancer can access these Manitoba activities.
View Article and Find Full Text PDFExploring 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 PDFPlay Nicely Program in the prevention of violence against children: strengthening sustainable development.
Rev Lat Am Enfermagem
January 2025
Universidade Estadual de Londrina, Departamento de Enfermagem, Londrina, PR, Brazil.
Objective: to understand the perception of teachers and health professionals regarding the use of the Play Nicely Program for parents/caregivers in the prevention of violence against children.
Method: a descriptive and exploratory qualitative study was conducted through three focus groups with twenty primary school teachers and primary health care professionals who implemented the Program for parents/caregivers in 2022. The data analysis was guided by French discourse analysis, interpreted through the lens of Urie Bronfenbrenner's theory.
Correlation between risk factors that influence the development of children's language.
Codas
January 2025
Faculdade de Medicina, Universidade de São Paulo - USP - São Paulo (SP), Brasil.
Purpose: To identify the most significant risk factors for child development through the application of two risk protocols, namely, the Protocol for the Identification of Risk Factors for Language and Speech Disorders (PIFRAL) and the Language Development Protocol (PDL).
Methods: A retrospective study was carried out with 194 children aged 0 to 5 years and 11 months who were participants of primary health care (PHC) in the municipality of São Paulo, Brazil, from 2016 to 2020. The database was thoroughly analyzed using R software, and the most relevant risk factors were correlated through statistical analysis, generating altered and unaltered PDL results.
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