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Effectiveness of Mobile Health-Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of Randomized Controlled Trials.
JMIR Serious Games
January 2025
School of Nursing, Jilin University, Changchun, China.
Background: Gamification refers to using game design elements in nongame contexts. Promoting physical activity (PA) through gamification is a novel and promising avenue for improving lifestyles and mitigating the advancement of cardiovascular diseases (CVDs). However, evidence of its effectiveness remains mixed.
View Article and Find Full Text PDFExploring Health Educational Interventions for Children With Congenital Heart Disease: Scoping Review.
JMIR Pediatr Parent
January 2025
Department of Design Innovation, College of Design, University of Minnesota, Twin Cities, Minneapolis, MN, United States.
Background: Congenital heart disease (CHD) is the most common birth defect, affecting 40,000 births annually in the United States. Despite advances in medical care, CHD is often a chronic condition requiring continuous management and education. Effective care management depends on children's understanding of their condition.
View Article and Find Full Text PDFSpectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning.
Bioengineering (Basel)
December 2024
Biomedical Engineering Department, University of Connecticut, Storrs, CT 06269, USA.
Electroretinograms (ERGs) show differences between typically developing populations and those with a diagnosis of autism spectrum disorder (ASD) or attention deficit/hyperactivity disorder (ADHD). In a series of ERGs collected in ASD ( = 77), ADHD ( = 43), ASD + ADHD ( = 21), and control ( = 137) groups, this analysis explores the use of machine learning and feature selection techniques to improve the classification between these clinically defined groups. Standard time domain and signal analysis features were evaluated in different machine learning models.
View Article and Find Full Text PDFBioethics Principles in Machine Learning-Healthcare Application Design: Achieving Health Justice and Health Equity.
Harv Public Health Rev (Camb)
August 2024
Washington State University, School of Electrical Engineering and Computer Science in Pullman.
Health technologies featuring artificial intelligence (AI) are becoming more common. Some healthcare AIs are exhibiting bias towards underrepresented persons and populations. Although many computer scientists and healthcare professionals agree that eliminating or mitigating bias in healthcare AIs is needed, little information exists regarding how to operationalize bioethics principles like autonomy in product design and implementation.
View Article and Find Full Text PDFNurses' viewpoint of sustaining work despite musculoskeletal pain: A qualitative study.
J Educ Health Promot
December 2024
Health in Disasters and Emergencies Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Background: The nursing profession consistently has the highest rates of musculoskeletal disorders (MSDs) among occupations due to physical and psychological pressures, leading to an increased number of sickness absences, early retirement, staff shortage, poor health conditions, and need for medical care. Absence among healthcare workers puts the quality of patient care at risk, and increase colleagues' workload and employer staffing expenses. This study aimed to investigate the viewpoints of Iranian nurses about sustaining work despite musculoskeletal pain.
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