Journal of evaluation in clinical practice
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Understanding students' learning approach, modifying teaching methods, curriculum and material accordingly is essential to deliver quality education. Knowing more about the learning approaches assists in upgrading the profession's quality for continuous professional development. ⋯ The predominant approach is the deep learning approach reflecting active learning. This may indicate that curriculum and strategies of teaching are employed over physiotherapy students to promote quality learning. Also, the teaching preferences varies between two group of physiotherapy students. Thus, this will also assist physiotherapy educators in planning and delivering learning activities according to learners by knowing their preferences.
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The threat of the H5N1-influenza virus prompts reflection on COVID-19 pandemic experiences. This paper integrates insights from a first responder using the Cynefin framework to advocate for an adaptive strategic approach to future pandemics. Balancing individual freedoms with containment measures serves to leverage the human capital needed for rapid learning and resource distribution. ⋯ Both operate within scale free human systems which must adapt to existential challenges such as pandemics. Experience leading to knowledge and understanding occurs simultaneously at all dimensions of human existence. Ultimately, adaptive leadership and decentralized decision-making, supported by the best available knowledge, enable effective pandemic management and restoration of normal societal functions.
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The article aims to describe the establishment and development of the Vascular Access Unit in a major hospital in Southern Europe during the SARS-COV2 pandemic and to evaluate the benefits brought by the Unit. ⋯ Establishing Vascular Access Teams should be a priority in large hospitals, as they can positively impact ward organization and significantly enhance patient satisfaction.
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Artificial intelligence (AI) has significant transformative potential across various sectors, particularly in health care. This study aims to develop a protocol for the content analysis of a method designed to assess AI applications in drug-related information, specifically focusing on contraindications, adverse reactions, and drug interactions. By addressing existing challenges, this preliminary research seeks to enhance the safe and reliable integration of AI into healthcare practices. ⋯ This preliminary study demonstrates the potential for using an AI-powered tool to standardize drug-related information retrieval, particularly for contraindications and adverse reactions. While AI responses were generally appropriate, improvements are needed in identifying contraindicated drug interactions. Further research with larger datasets and broader evaluations is required to enhance AI's reliability in healthcare settings.
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Implementing standardised outcome measures (SOMs) in stroke rehabilitation practices enhances patient care, communication, and overall clinical effectiveness. However, the implementation of Arabic-validated SOMs in stroke rehabilitation practices among Arabic-speaking patients has not been fully explored. ⋯ Implementing Arabic-validated SOMs is essential to ensure culturally appropriate and linguistically accurate evaluations that support evidence-based decision-making and enhance patient management in stroke rehabilitation among Arabic-speaking patients. Enhancing familiarity with clinical practice guidelines and addressing barriers such as time constraints and financial challenges can further promote the implementation of Arabic-validated SOMs into routine practice, ultimately improving patient outcomes.