Background: Powerful new genomic technologies are transforming the way healthcare is delivered, shaping medical practice across all specialties. In this rapidly changing landscape, there is an urgent need to equip the clinical workforce with knowledge and skills to navigate the new healthcare terrain. Co-design of healthcare resources with end users is increasingly gaining traction as a method of ensuring that educational content and delivery are tailored to users' needs, increasing likelihood of use and resulting in better outcomes for patients. Here we describe the co-design and ongoing co-creation of GeNotes - an NHS England National Genomics Education flagship online resource providing genomics education at the point of patient care.
Methods: To understand the barriers to implementation of genomic medicine and the training needs of the diverse NHS workforce, we adopted a co-design approach with clinicians from both primary and secondary care who are uniquely placed to understand the context in which they are working and identify their own training needs. Concept design, initial user research and subsequent 'alpha' and 'private beta' phase user research was conducted in a series of co-design iterations employing a mixed methodology integrating quantitative and qualitative data collection and analysis.
Results: User evaluation data demonstrated excellent feedback across the tested domains (content, navigation, likelihood of use and recommendation to colleagues). We identified several key themes from user testing that shaped the resource's development.
Conclusions: The co-design approach to the development of this point-of-care genomics education resource for clinicians has allowed insight into the education needs, challenges and learning styles of end-users. The utility of this approach was supported by excellent user feedback across the tested domains, and we recommend it to others involved in developing healthcare resources in a fast-paced environment.
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http://dx.doi.org/10.1186/s12909-024-06059-w | DOI Listing |
BMC Public Health
December 2024
Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
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View Article and Find Full Text PDFWorld Neurosurg
December 2024
Department of Pathology, Huashan Hospital, Fudan University, Shanghai 200040, China.
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View Article and Find Full Text PDFAm J Kidney Dis
December 2024
Service de Néphrologie, Hémodialyse et Transplantation Rénale, Centre de référence MARHEA, CHRU Brest, Brest, France; Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Brussels, Belgium. Electronic address:
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Study Design: Case series.
J Adv Res
December 2024
Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin 150040, China; College of Life Science, Northeast Forestry University, Harbin 150040, China. Electronic address:
Introduction: Lonicera caerulea L. (blue honeysuckle) is a noteworthy fleshy-fruited tree and a prominent medicinal plant, which possesses notable characteristics such as exceptional resilience to winter conditions and early maturation, and the richest source of functional anthocyanins, particularly cyanidin-3-glucoside. The molecular mechanisms responsible for its freezing tolerance and anthocyanin biosynthesis remain largely unknown.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, TEDA, Tianjin 300457, PR China; Tianjin Key Laboratory of Microbial Functional Genomics, Tianjin 300457, PR China. Electronic address:
The robustness and catalytic activity of superoxide dismutase (SOD) are still the main factors limiting their application in industrial fields. This study aims to further improve the properties of a natural thermophilic iron/manganese dual-domain SOD (Fe/Mn-SODA fused with N-terminal polypeptide) from Geobacillus thermodenitrificans NG80-2 (GtSOD) by modifying its each domain using in-depth in silico prediction analysis as well as protein engineering. First, computational analysis of the N-terminal domain and GtSODA domain was respectively performed by using homologous sequence alignment and virtual mutagenesis.
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