In the current qualitative research study, we focused on understanding the ecological systems, contexts, behaviors, and strategies of parents ( N = 435) advocating for their children with an intellectual and developmental disability diagnosis, specifically Down syndrome (DS). Based on the data analysis, parents of children with DS advocate for their children frequently, in a variety of settings, with different actions, attitudes, motivations, and outcomes. The most common settings where advocacy occurred were primarily school and healthcare systems. The goals of parents often included inclusiveness, equality, and acceptance, whereas a few parents reported advocating due to discrimination and judgment. Implications for further research and professional practice also are described.
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http://dx.doi.org/10.1352/1934-9556-57.2.146 | DOI Listing |
JMIR Form Res
January 2025
Smith School of Business, Queen's University, Kingston, ON, Canada.
Background: Depression significantly impacts an individual's thoughts, emotions, behaviors, and moods; this prevalent mental health condition affects millions globally. Traditional approaches to detecting and treating depression rely on questionnaires and personal interviews, which can be time consuming and potentially inefficient. As social media has permanently shifted the pattern of our daily communications, social media postings can offer new perspectives in understanding mental illness in individuals because they provide an unbiased exploration of their language use and behavioral patterns.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFJ Infect Dev Ctries
December 2024
Department of Immunology, School of Medicine and Dr. Jose Eleuterio Gonzalez University Hospital, Universidad Autónoma de Nuevo León, Monterrey, Mexico.
Co-inhibitory molecules, such as cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1 (PD-1), known as immune checkpoints, regulate the activity of T and myeloid cells during chronic viral infections and are well-established for their roles in cancer therapy. However, their involvement in chronic bacterial infections, particularly those caused by pathogens endemic to developing countries, such as Mycobacterium tuberculosis (Mtb), remains incompletely understood. Cytokine microenvironment determines the expression of co-inhibitory molecules in tuberculosis: Results indicate that the cytokine IL-12, in the presence of Mtb antigens, can enhance the expression of co-inhibitory molecules while preserving the effector and memory phenotypes of CD4+ T cells.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, NOVA University Lisbon, Lisbon, Portugal.
Background: Heart failure (HF) is a significant global health problem, affecting approximately 64.34 million people worldwide. The worsening of HF, also known as HF decompensation, is a major factor behind hospitalizations, contributing to substantial health care costs related to this condition.
View Article and Find Full Text PDFAppl Health Econ Health Policy
January 2025
Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Introduction: Genomic medicine has features that make it preference sensitive and amenable to model-based health economic evaluation. Preferences of patients, caregivers, and clinicians related to the uptake and delivery of genomic medicine technologies and services that are not captured in health state utility weights can affect the intervention's cost-effectiveness and budget impact. However, there is currently no established or agreed-on approach for integrating preference information into economic evaluations.
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