Objective: To identify generic competences on the desired knowledge, skills and of health professionals in rheumatology (HPRs) to inform the respective EULAR recommendations.
Methods: A systematic literature review was performed on the generic core competences (defined as knowledge, skills or attitudes) of HPRs (nurses, physical therapists (PTs) or occupational therapists (OTs)). Literature was obtained from electronic databases, published EULAR recommendations and via personal communication with representatives of national rheumatology societies and experts in the field. Qualitative, quantitative and mixed methods studies were included, and their methodological quality was scored using appropriate instruments.
Results: From 766 references reviewed, 79 fulfilled the inclusion criteria. Twenty studies addressed competences of multiple HPRs: 15 were of qualitative design, 1 quantitative, 1 mixed-methods, 2 systematic reviews and 1 opinion paper. The methodological quality of most studies was medium to high. Five studies concerned the development of a comprehensive set of competences. Key competences included: basic knowledge of rheumatic diseases, holistic approach to patient management, effective communication with colleagues and patients and provision of education to patients. The proposed competences were confirmed in studies focusing on one or more specific competences, on a rheumatic disease or on a specific profession (nurses, PTs or OTs).
Conclusion: Generic competences were identified for HPRs. Data were mostly derived from qualitative studies. All identified studies varied and were at national level, highlighting the need for the harmonisation of HPR competences across Europe. These findings underpin the development of EULAR recommendations for the core competences of HPRs.
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http://dx.doi.org/10.1136/rmdopen-2019-001028 | DOI Listing |
ACS Appl Electron Mater
December 2024
CEITEC, Brno University of Technology, Purkyňova 123, 61200 Brno, Czech Republic.
To satisfy the needs of the current technological world that demands high performance and efficiency, a deep understanding of the whole fabrication process of electronic devices based on low-dimensional materials is necessary for rapid prototyping of devices. The fabrication processes of such nanoscale devices often include exposure to an electron beam. A field effect transistor (FET) is a core device in current computation technology, and FET configuration is also commonly used for extraction of electronic properties of low-dimensional materials.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Retired Professor, The University of Melbourne, Victoria, Australia.
Several recent studies have optimized deep neural networks to learn high-dimensional relationships linking structural and functional connectivity across the human connectome. However, the extent to which these models recapitulate individual-specific characteristics of resting-state functional brain networks remains unclear. A core concern relates to whether current individual predictions outperform simple benchmarks such as group averages and null conditions.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Department of Cognition, Development and Education Psychology, University of Barcelona, Barcelona, Spain.
Memories are thought to use coding schemes that dynamically adjust their representational structure to maximize both persistence and efficiency. However, the nature of these coding scheme adjustments and their impact on the temporal evolution of memory after initial encoding is unclear. Here, we introduce the Segregation-to-Integration Transformation (SIT) model, a network formalization that offers a unified account of how the representational structure of a memory is transformed over time.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, VIC, Australia.
Connectome generative models, otherwise known as generative network models, provide insight into the wiring principles underpinning brain network organization. While these models can approximate numerous statistical properties of empirical networks, they typically fail to explicitly characterize an important contributor to brain organization-axonal growth. Emulating the chemoaffinity-guided axonal growth, we provide a novel generative model in which axons dynamically steer the direction of propagation based on distance-dependent chemoattractive forces acting on their growth cones.
View Article and Find Full Text PDFThe importance of embedding participatory methods within youth mental health research is well accepted and often a funding prerequisite. However, we argue that there is a need to revisit the core values of the approach in order to ensure that participatory methods remain meaningful, effective and authentic. This should entail rigorously examining 'why' and 'how' to approach participatory methods - not merely outlining the 'what' and 'when'.
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