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Genomics costing tool: considerations for improving cost-efficiencies through cross scenario comparison.
Front Public Health
January 2025
Technical Advice and Partnership Department, The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Next-generation sequencing (NGS) is crucial for monitoring and investigating infectious disease outbreaks, providing essential data for public health decisions. The COVID-19 pandemic has significantly expanded pathogen sequencing and bioinformatics capacities worldwide, creating an opportunity to leverage these advancements for other pathogens with pandemic and epidemic potential. In response to the need for a systematic cost estimation approach for sustainable genomic surveillance, particularly in low- and middle-income countries, five institutions collaborated to develop the genomics costing tool (GCT).
View Article and Find Full Text PDFBackground: Over the past two decades, the UK has actively developed policies to enhance early cancer diagnosis, particularly for individuals with non-specific cancer symptoms. Non-specific symptom (NSS) pathways were piloted and then implemented in 2015 to address delays in referral and diagnosis. The aim of this study was to outline the functions that enable NSS teams to investigate cancer and other diagnoses for patients with NSSs.
View Article and Find Full Text PDFQuantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.
Physiol Rep
February 2025
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.
View Article and Find Full Text PDFMeeting Parents' Health Literacy Needs-Designing and Feasibility Testing of a Three-Step Intervention in the Childhood Epilepsy Context.
J Clin Nurs
January 2025
Department for Postgraduate Studies, Lovisenberg Diaconal University College, Oslo, Norway.
Aims: (1) To codesign a health literacy intervention within a specialist healthcare setting to help the parents of children with epilepsy access, comprehend, use and communicate information and (2) to assess the intervention's feasibility by exploring stakeholders' perspectives on its usefulness, ease of use of trial methods and contextual factors impacting its execution.
Design: A codesign participatory approach followed by a feasibility approach inspired by the OPtimising HEalth LIteracy and Access to Health Services (Ophelia) process for health literacy intervention development.
Methods: (1) The codesign approach included workshops with (a) multidisciplinary personnel (n = 9) and (b) parents (n = 12), along with (c) an interview with one regional epilepsy specialist nurse (n = 1).
Development and validation of the pain management competency scale for nurses and a nationwide survey of Chinese nurses.
BMC Nurs
January 2025
School of Nursing, Hangzhou Normal University, No. 2318 Yuhangtang Road, Hangzhou, Zhejiang Province, 31121, China.
Background: Nurses' competency in pain management is essential for effectively alleviating patients' acute pain, controlling chronic pain, and promoting patient recovery. However, reliable tools for evaluating these competencies across different clinical specialties and healthcare settings are lacking. This study aimed to develop and validate a Pain Management Competency Scale for Nurses (PMCSN) and to assess the pain management competencies of nurses in China through a nationwide survey.
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