Journal of evaluation in clinical practice
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The current study was conducted to measure the prevalence of stress, anxiety, depression, and sleep quality and identify predisposing factors of psychological distress among young adults during the pandemic. ⋯ Nearly half of the young adults experienced varying degrees of stress, anxiety, and depression, and most had poor sleep quality. The insufficiency of outbreak measures, poor sleep quality, using alcohol, and feelings of despair were mutual predictive factors of stress, anxiety, and depression.
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Parents' medicine-seeking behavior is often influenced by their own experiences with illness. The purpose of this study was to investigate parents' medicine-seeking behavior and their beliefs regarding the efficacy of medicines. ⋯ There was inadequate information among parents concerning the use of medicines, including side effects, proper utilization, and the importance of seeking medical assistance. Furthermore, parents have false beliefs about the efficacy of medicines.
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To assess the Knowledge, Attitude, and Practice (KAP) of medical students at Hunan Medicine College towards insomnia and TCM treatment. ⋯ The study underscores the need for targeted educational interventions to enhance understanding and promote effective practices among medical students, potentially improving their well-being and addressing insomnia more comprehensively.
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The article tests the hypothesis that we can draw practical knowledge from the experience of service providers operating in the past. The research questions were formulated: can the historical example of the organization of medical care in the Polish Children's Hospital named after Karol and Maria be used as a viable example today? Is it relevant for contemporary practitioners? And do we still use the knowledge of predecessors? The authors decided to use the interwar Hospital and an operating paediatric ward of the Child-Friendly Hospital for a comparative analysis. ⋯ It seems that while the technical aspects of integrated care initiated in the past are developing perfectly, the approach to the evidence-based medicine is waiting to be developed again.
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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.