Community nurses have often been 'touted' as potential major contributors to health promotion. Critical literature, however, often states that this has not been the case. Furthermore, most studies examining nurses' role and function have occurred mainly in hospital settings. This is a sequential mixed-methods study of two groups of community nurses from a Sydney urban area (n = 100) and from rural and remote areas (n = 49) within New South Wales, Australia. A piloted questionnaire survey was developed based on the five action areas of the Ottawa Charter for Health Promotion. Following this, 10 qualitative interviews were conducted for both groups, plus a focus group to support or refute survey results. Findings showed that rural and remote nurses had more positive attitudes towards health promotion and its clinical implementation. Survey and interview data confirmed that urban community nurses had a narrower focus on caring for individuals rather than groups, agreeing that time constraints impacted on their limited health promotion role. There was agreement about lack of resources (material and people) to update health promotion knowledge and skills. Rural and remote nurses were more likely to have limited educational opportunities. All nurses undertook more development of personal skills (DPS, health education) than any other action area. The findings highlight the need for more education and resources for community nurses to assist their understanding of health promotion concepts. It is hoped that community nurse leaders will collectively become more effective health promoters and contribute to healthy reform in primary health care sectors.
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http://dx.doi.org/10.1093/heapro/dav018 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Sci Rep
January 2025
Zhejiang Gongshang University Hangzhou College of Commerce, Hangzhou, Zhejiang, China.
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January 2025
School of Economics and Management, University of Cyprus, 2109, Aglantzia, Nicosia, Cyprus.
Analyzing the habits of exercisers is crucial for developing targeted interventions that can effectively promote long-term physical activity behavior. While much of existing literature has focused on individual-level factors, there is a growing recognition of the importance of examining how broader determinants impact physical activity. In this study, we analyze large-scale human mobility data from over 20 million individuals to investigate how visits to various locations, such as cafes and restaurants, influence visits to fitness centers.
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Harbin Normal University, Harbin, 150025, China.
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January 2025
Federal University of Bahia, Institute of Computing, Salvador, 40170-110, Brazil.
Multiple Myeloma (MM) is a cytogenetically heterogeneous clonal plasma cell proliferative disease whose diagnosis is supported by analyses on histological slides of bone marrow aspirate. In summary, experts use a labor-intensive methodology to compute the ratio between plasma cells and non-plasma cells. Therefore, the key aspect of the methodology is identifying these cells, which relies on the experts' attention and experience.
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