This study seeks to comparatively examine how autonomy is evaluated by a sample of nursing staff in both Sweden and Florida, USA. In both cultures support for patient autonomy was generally greater from an individual point of view than from the anticipated institutional perspective. Comparisons between the cultures revealed that individual staff members in the Swedish nursing homes generally gave higher priority to patient preference than did their American counterparts. On the other hand, support for patient preference was generally greater in the American nursing homes in regard to institutionally anticipated decision. There were statistically significant mean value differences between Swedish nursing staff's personal opinion and anticipated institutional decisions in five of six case studies. Nursing staff's personal opinion showed a stronger support for patient's preferences. There was a statistically significant mean value difference between American nursing staffs' personal opinion and anticipated institutional decisions in only one of the six case studies. In spite of cultural differences the reported results to some degree reflect a common value-system regarding both the anticipated institutional perspective and nursing staffs' personal opinion.
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http://dx.doi.org/10.1023/a:1006531100836 | DOI Listing |
JMIR Infodemiology
January 2025
Salzburg University of Applied Sciences, Puch/Salzburg, Austria.
Background: The novel coronavirus disease (COVID-19) sparked significant health concerns worldwide, prompting policy makers and health care experts to implement nonpharmaceutical public health interventions, such as stay-at-home orders and mask mandates, to slow the spread of the virus. While these interventions proved essential in controlling transmission, they also caused substantial economic and societal costs and should therefore be used strategically, particularly when disease activity is on the rise. In this context, geosocial media posts (posts with an explicit georeference) have been shown to provide a promising tool for anticipating moments of potential health care crises.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
German Breast Group, Neu-Isenburg, Germany.
Purpose: To assess trial-level surrogacy value for overall survival (OS) of the pathologic complete response (pCR) and invasive disease-free survival (iDFS) in randomized clinical trials (RCTs) for early breast cancer (BC).
Methods: Individual patient data of neoadjuvant RCTs with available data on pCR, iDFS, and OS were included in the analysis. We used the coefficient of determination from weighted linear regression models to quantify the association between treatment effects on OS and on the surrogate end points.
PLOS Glob Public Health
January 2025
Global Health Program, Smithsonian Conservation Biology Institute, Washington, DC, United States of America.
Climate change is having unprecedented impacts on human health, including increasing infectious disease risk. Despite this, health systems across the world are currently not prepared for novel disease scenarios anticipated with climate change. While the need for health systems to develop climate change adaptation strategies has been stressed in the past, there is no clear consensus on how this can be achieved, especially in rural areas in low- and middle-income countries that experience high disease burdens and climate change impacts simultaneously.
View Article and Find Full Text PDFScience
January 2025
Department of Infectious Diseases and Microbiology, University of Pittsburgh, Pittsburgh, PA, USA.
Influenza virus pandemics and seasonal epidemics have claimed countless lives. Recurrent zoonotic spillovers of influenza viruses with pandemic potential underscore the need for effective countermeasures. In this study, we show that pre-exposure prophylaxis with broadly neutralizing antibody (bnAb) MEDI8852 is highly effective in protecting cynomolgus macaques from severe disease caused by aerosolized highly pathogenic avian influenza H5N1 virus infection.
View Article and Find Full Text PDFScience
January 2025
Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Studying the functional consequences of structural variants (SVs) in mammalian genomes is challenging because (i) SVs arise much less commonly than single-nucleotide variants or small indels and (ii) methods to generate, map, and characterize SVs in model systems are underdeveloped. To address these challenges, we developed Genome-Shuffle-seq, a method that enables the multiplex generation and mapping of thousands of SVs (deletions, inversions, translocations, and extrachromosomal circles) throughout mammalian genomes. We also demonstrate the co-capture of SV identity with single-cell transcriptomes, facilitating the measurement of SV impact on gene expression.
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