Objective: Although there is broad consensus that careful content vetting and user testing is important in the development of technology-based educational interventions, often these steps are overlooked. This paper highlights the development of a theory-guided, web-based communication aid (CONNECT), designed to facilitate treatment decision-making among patients with advanced cancer.
Methods: The communication aid included an on-line survey, patient skills training module and an automated physician report. Development steps included: (1) evidence-based content development; (2) usability testing; (3) pilot testing; and (4) patient utilization and satisfaction.
Results: Usability testing identified some confusing directions and navigation for the on-line survey and validated the relevance of the "patient testimonials" in the skills module. Preliminary satisfaction from the implementation of the communication aid showed that 66% found the survey length reasonable and 70% found it helpful in talking with the physician. Seventy percent reported the skills module helpful and about half found it affected the consultation.
Conclusion: Designing patient education interventions for translation into practice requires the integration of health communication best practice including user feedback along the developmental process.
Practice Implications: This developmental process can be translated to a broad array of community-based patient and provider educational interventions.
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http://dx.doi.org/10.1016/j.pec.2008.02.017 | DOI Listing |
Sensors (Basel)
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School of Physical Science and Technology, Ningbo University, Ningbo 315211, China.
Flexible, wearable, piezoresistive sensors have significant potential for applications in wearable electronics and electronic skin fields due to their simple structure and durability. Highly sensitive, flexible, piezoresistive sensors with the ability to monitor laryngeal articulatory vibration supply a new, more comfortable and versatile way to aid communication for people with speech disorders. Here, we present a piezoresistive sensor with a novel microstructure that combines insulating and conductive properties.
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College of Environmental and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia.
Innate immunity is critical for insects to adjust to complicated environments. Studying the insect immune system can aid in identifying novel insecticide targets and provide insights for developing novel pest control strategies. Insects recognize environmental pathogens through pattern recognition receptors, thus activating the innate immune system to eliminate pathogens.
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January 2025
Department of Preventive Services, Ministry of Health, Dodoma P.O. Box 743, Tanzania.
Immunization plays a substantial role in reducing the under-five mortality rate. However, Tanzania still has a significant number of zero-dose and under-vaccinated children and was ranked among the top ten African countries with the highest numbers of zero-dose children in 2022. The human-centered design (HCD) approach is more ethical and effective at addressing public health challenges in complex sociocultural settings.
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January 2025
Department of Food Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
Pneumonia, a leading cause of mortality in children under five, is usually diagnosed through chest X-ray (CXR) images due to its efficiency and cost-effectiveness. However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. This article presents a Deep Learning model, Zero-Order Optimized Convolutional Neural Network (ZooCNN), a Zero-Order Optimization (Zoo)-based CNN model for classifying CXR images into three classes, Normal Lungs (NL), Bacterial Pneumonia (BP), and Viral Pneumonia (VP); this model utilizes the Adaptive Synthetic Sampling (ADASYN) approach to ensure class balance in the Kaggle CXR Images (Pneumonia) dataset.
View Article and Find Full Text PDFJ Imaging
January 2025
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.
The integration of artificial intelligence into daily life significantly enhances the autonomy and quality of life of visually impaired individuals. This paper introduces the Visual Impairment Spatial Awareness (VISA) system, designed to holistically assist visually impaired users in indoor activities through a structured, multi-level approach. At the foundational level, the system employs augmented reality (AR) markers for indoor positioning, neural networks for advanced object detection and tracking, and depth information for precise object localization.
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