In 1998 the World Health Organisation (WHO) Europe proposed a new type of community based nurse called the family health nurse (FHN). Although it was initially envisaged that 18 European countries would take part in the development of the FHN role through parallel processes of education and implementation, Scotland has been significantly ahead of other countries in enacting this plan. A pilot project involving community nurses from four remote and rural regions of Scotland was conducted between 2001 and 2003. A Scottish University was commissioned to provide a degree-level course for registered nurses with a minimum of two years post-registration qualifying experience. This paper summarises the main findings and issues arising from an external research evaluation of this educational programme. The programme was found to differ substantially in focus and format from other specialist community nursing programmes available in Scotland. Moreover there were key differences from the curriculum proposed by WHO Europe, in that there was more grounding in North American family nursing models and less focus on management and leadership. This customized degree programme provides a precedent for other educational providers in the UK to reconsider their approach to specialist practice degree level education.
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http://dx.doi.org/10.1016/j.nedt.2004.08.001 | DOI Listing |
J Econ Entomol
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Department of Entomology and Nematology, Tropical Research and Education Center, University of Florida, Homestead, FL, USA.
Thrips parvispinus (Karny) (Thysanoptera: Thripidae), an invasive thrips species, poses a significant threat to global agriculture due to its polyphagous nature and rapid spread. Its recent arrival in the continental United States raises concerns about potential impacts on ornamental and vegetable crops. Dip treatments might serve as a phytosanitary practice for growers to start with plants free of visible pests.
View Article and Find Full Text PDFBackground: The purpose of this study was to evaluate the performance and evolution of Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI) as a resource for shoulder and elbow surgery information by assessing its accuracy on the American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions. We hypothesized that both ChatGPT models would demonstrate proficiency and that there would be significant improvement with progressive iterations.
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JMIR Res Protoc
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Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain.
Background: Psoriasis is an inflammatory disease primarily treated through molecular-targeted therapies. However, emerging evidence suggests that dietary interventions may also play a role in managing inflammation associated with this condition. The Mediterranean diet (MedDiet), prevalent in southern European countries, has been widely recognized for its ability to reduce cardiovascular mortality, largely due to its anti-inflammatory properties.
View Article and Find Full Text PDFJ Med Chem
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Department of Chemistry, Faculty of the Exact Sciences, Bar-Ilan University, Ramat-Gan, 5290002, Israel.
Data collected from scholars across twenty-three countries over the past decade (2010-2019) reveals a 40% decrease in financial support for medicinal chemistry projects. The decline is especially notable among projects focused on small organic molecules. This drop in grants indicates a troubling trend that could jeopardize future drug development by undermining research in this crucial field.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON CA K1A 0C6, Canada.
It is well-known that the use of vocabulary in phenotype treatments is often inconsistent. An earlier survey of biologists who create or use phenotypic characters revealed that this lack of standardization leads to ambiguities, frustrating both the consumers and producers of phenotypic data. Such ambiguities are challenging for biologists, and more so for Artificial Intelligence, to resolve.
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