Population aging threatens the sustainability of welfare systems since it is not accompanied by an extended healthy and independent period in the last years of life. The Comprehensive Geriatric Assessment (CGA) has been shown to be efficient in maintaining the healthy period at the end of the life. Frailty monitoring is typically carried out for an average period of 6 months in clinical settings, while more regular monitoring could prevent the transition to disability. We present the design process of a system for frailty home monitoring based on an adapted CGA and the rationale behind its User eXperience (UX) design. The resulting home monitoring system consists of two devices based on ultrasound sensors, a weight scale, and a mobile application for managing the devices, administering CGA-related questionnaires, and providing alerts. Older users may encounter barriers in their usage of technology. For this reason, usability and acceptability are critical for health monitoring systems addressed to geriatric patients. In the design of our system, we have followed a user-centered process, involving geriatricians and older frail patients by means of co-creation methods. In the iterative process of design and usability testing, we have identified the most effective way of conducting the home-based CGA, not just by replicating the dialogue between the physician and the patient, but by adapting the design to the possibilities and limitations of mobile health for this segment of users. The usability evaluation, carried out with 14 older adults, has proved the feasibility of users older than 70 effectively using our monitoring system, additionally showing an intention over 80% for using the system. It has also provided some insights and recommendations for the design of mobile health systems for older users.
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http://dx.doi.org/10.3389/fdgth.2021.659940 | DOI Listing |
Infect Dis Ther
December 2024
Department of Respiratory Medicine, The First Affiliated Hospital of Wannan Medical College, No 2 Zheshan West Road, Wuhu, 241000, Anhui, China.
Introduction: Stenotrophomonas maltophilia is an opportunistic pathogen associated with various nosocomial infections and is known for its intrinsic multidrug resistance. This study aims to provide a comprehensive overview of the epidemiology and resistance patterns of S. maltophilia in China from 2014 to 2021.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Polyurethane sponge is frequently selected as a substrate material for constructing flexible compressible sensors due to its excellent resilience and compressibility. However, being highly hydrophilic and flammable, it not only narrows the range of use of the sensor but also poses a great potential threat to human safety. In this paper, a conductive flexible piezoresistive sensor (CHAP-PU) with superhydrophobicity and high flame retardancy was prepared by a simple dip-coating method using A-CNTs/HGM/ADP coatings deposited on the surface of a sponge skeleton and modified with polydimethylsiloxane.
View Article and Find Full Text PDFAm J Case Rep
December 2024
I Department of Radiology and Diagnostic Imaging, Norbert Barlicki Memorial Teaching Hospital No. 1, Medical University of Łódź, Łódź, Poland.
BACKGROUND Arterioportal fistulas (APFs) are abnormal connections between the arterial and portal venous systems, leading to portal hypertension (PH) and symptoms such as gastrointestinal bleeding, splenomegaly, and hepatic pain. Symptoms typically appear by the age of 2 years in about 75% of cases. CASE REPORT A 7-year-old boy with an asymptomatic APF developed life-threatening complications following a Clostridium difficile infection.
View Article and Find Full Text PDFJ Med Eng Technol
December 2024
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran.
Nowadays, photoplethysmograph (PPG) technology is being used more often in smart devices and mobile phones due to advancements in information and communication technology in the health field, particularly in monitoring cardiac activities. Developing generative models to generate synthetic PPG signals requires overcoming challenges like data diversity and limited data available for training deep learning models. This paper proposes a generative model by adopting a genetic programming (GP) approach to generate increasingly diversified and accurate data using an initial PPG signal sample.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
Nivel, Netherlands Institute for Health Services Research, Otterstraat 118, Utrecht, 3513 CR, The Netherlands.
Background: At the beginning of the COVID-19 pandemic in 2020, little was known about the spread of COVID-19 in Dutch nursing homes while older people were particularly at risk of severe symptoms. Therefore, attempts were made to develop a nationwide COVID-19 repository based on routinely recorded data in the electronic health records (EHRs) of nursing home residents. This study aims to describe the facilitators and barriers encountered during the development of the repository and the lessons learned regarding the reuse of EHR data for surveillance and research purposes.
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