Aim: To investigate service users of home-based care experiences of using mobile safety alarm and how the alarm affects their ability to cope with everyday life.
Design: A qualitative study with semi-structured interviews.
Methods: The data were collected through semi-structured interviews and analysed according to systematic text condensation. Four men and six women, between 47 and 85 years of age, were included in the study.
Results: Three main themes emerged in the analysis: dimensions of safety, the functionality of the alarm and variation in user guidance. The greatest benefit of having a mobile safety alarm was the feeling of safety. Moreover, the certainty of obtaining contact with the health professionals in any situation was highly valued. However, regarding implementation of the mobile safety alarm, the findings revealed a varying understanding among the service users. Nevertheless, the need for social interaction in their everyday lives is an important factor to recognize.
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http://dx.doi.org/10.1002/nop2.1217 | DOI Listing |
Nurse Educ Today
January 2025
School of Nursing and Midwifery, Deakin University, Burwood, Victoria 3125, Australia; Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Victoria, Australia.
Objective: To identify and synthesise existing literature about the use of mobile educational applications (apps) designed to enhance the learning experience of nurses and midwives.
Design: A narrative review using a systematic, structured and comprehensive search of the literature.
Data Sources: Medline Complete (EBSCO), CINAHL (EBSCO), ERIC (EBSCO) and Embase (OVID) electronic databases.
Sensors (Basel)
January 2025
Netcom Engineering S.p.A., Via Nuova Poggioreale, Centro Polifunzionale, Tower 7, 5th Floor, 80143 Naples, Italy.
This paper explores the development and testing of two Internet of Things (IoT) applications designed to leverage Vehicle-to-Infrastructure (V2I) communication for managing intelligent intersections. The first scenario focuses on enabling the rapid and safe passage of emergency vehicles through intersections by notifying approaching drivers via a mobile application. The second scenario enhances pedestrian safety by alerting drivers, through the same application, about the presence of pedestrians detected at crosswalks by a traffic sensor equipped with neural network capabilities.
View Article and Find Full Text PDFAntibiotics (Basel)
January 2025
Department of Pharmacology and Toxicology, University of Veterinary Medicine, H-1078 Budapest, Hungary.
Background: Antimicrobial resistance is one of the greatest challenges of our time, urging researchers in both veterinary and public health to engage in collaborative efforts, thereby fostering the One Health approach. Infections caused by species can not only lead to significant diseases in poultry but also pose serious threats to human life, particularly in hospital (nosocomial) infections; therefore, it is crucial to identify their antimicrobial resistance.
Methods: Our objective was to assess the susceptibility profile of commensal strains ( = 227) found in commercial chicken flocks in Hungary through the determination of minimum inhibitory concentration (MIC) values.
Animals (Basel)
January 2025
National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
is the etiological agent of Glässer's disease, which causes high morbidity and mortality in pigs worldwide. Macrolide resistance poses an urgent threat to their treatment, as macrolides are widely used for preventing and treating infections. Here, we determined the susceptibilities to five macrolides and characterized the genetic markers of macrolide resistance.
View Article and Find Full Text PDFAnal Bioanal Chem
January 2025
Laboratory for Food Safety, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Université Paris-Est, 94700, Maisons-Alfort, France.
This study presents the development and validation of a precise analytical method for the speciation analysis of arsenic (As) compounds, including inorganic species [As(III) and As(V)] and organic species such as monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA). The method employs anion-exchange high-performance liquid chromatography (AE HPLC) coupled with inductively coupled plasma-mass spectrometry (ICP-MS). To optimize the sample preparation process, microwave-assisted extraction (MAE) and heat-assisted extraction (HAE) techniques were evaluated and compared.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!