Journal of evaluation in clinical practice
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Artificial Intelligence (AI) large language models (LLM) are tools capable of generating human-like text responses to user queries across topics. The use of these language models in various medical contexts is currently being studied. However, the performance and content quality of these language models have not been evaluated in specific medical fields. ⋯ Although LLMs provide parents with high-accuracy information about CKD, their use is limited compared with that of a reference source. The limitations in the performance of LLMs can lead to misinformation and potential misinterpretations. Therefore, patients and parents should exercise caution when using these models.
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The international policy agenda has recently advocated for the development of patient-centeredness in healthcare service delivery. Consequently, various stakeholders in the healthcare systems have expressed a vital need for identifying strategies and tools that can enhance patient-centeredness. ⋯ We recommend that administrators and policy makers in the healthcare industry prioritise the implementation and research of strategies such as telehealth tools and electronic health information systems to enhance access and patient-centeredness in the healthcare systems.
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Online Diabetes Self-Management Education and Support (DSMES) offers people with type 2 diabetes mellitus (T2DM) accessible and tailored education, utilising innovative and interactive tools such as social media to enhance engagement and outcomes. Despite the demonstrated effectiveness of social media-based DSMES in improving health outcomes, there remains a significant gap in qualitative insights regarding participants' experiences. ⋯ This study explored the experiences of people with T2DM participating in a 6-week WhatsApp-based DSMES. The findings indicated that the programme was acceptable, accessible, effectively revealing necessary self-management knowledge and skills, and provided essential support from professional and peer. The study also indicated that WhatsApp-based programmes could be feasibly implemented in various populations, healthcare settings and communities to support people with T2DM globally.
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The aim of this study, it examine how visits to neonatal intensive care units were made during the COVID-19 process and how mothers were affected by this process. ⋯ As a result, visitor restrictions implemented during the pandemic period hurt on newborns. During the pandemic period, visitor restrictions were imposed in neonatal intensive care units around the world. Unfortunately, in our study, it was determined that this restriction was made. This situation may have adversely affected the mother-infant attachment and the growth and development of the baby and may have led to irreversible problems. Therefore, newborn nurses should give more importance to mother-infant interaction and continue their treatment and care without separating infants from their mothers.
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Nomophobia becoming widespread can have negative effects on the psychology of nursing students, who are the nurses of the future. Yet, the psychological well-being of the nursing group dealing with human health is essential for psychologically supporting the individuals they care for and reducing the potential for errors in nursing care. Therefore, it is necessary to determine nomophobia in nursing students and examine its relationship with psychological states. ⋯ The students' nomophobia levels were high. As students' nomophobia levels increased, their depression, anxiety and stress levels increased. Our recommendation is to inform nurses about nomophobia, support conscious phone use, and direct students affected by nomophobia to relevant units. Our recommendation is to inform nursing students about nomophobia, direct students affected by nomophobia to relevant units, and support their participation in activities that will raise awareness among students.