Journal of evaluation in clinical practice
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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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Clinical use of psychotropic medications involves diverse risks, addressable by nursing interventions. The research had a dual purpose: developing an "Evidence-Based Medication Therapy Management Guideline" and a "Medication Administration-Tracking Chart" and evaluating their use through an evaluative case study. ⋯ Nurses highlighted the tools' potential to enhance medication safety, psychiatric care, and patient outcomes. However, their stance on using evidence-based tools revealed an approach/avoidance conflict, balancing benefits and barriers. Experience emerged as a hindrance in embracing evidence-based clinical tools. This study is among the first to comprehensively develop evidence-based medication management guideline and administration-tracking chart for psychiatric nurses globally and in our country. Routine use of the tools is expected to enhance nurses' expertise in psychotropic medication management, leading to improved patient outcomes in medication-related aspects.
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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.
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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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Among the provisions within the Affordable Care Act (ACA), expanding Medicaid was arguably the greatest contributor to increasing access to care. For over a decade, researchers have investigated how Medicaid expansion impacted cancer outcomes. Over this same decade, statistical theory illuminated how state-based policy research could be compromised by invalid inference. After reviewing the literature to identify the inference strategies of state-based cancer registry Medicaid expansion research, this study aimed to assess how inference decisions could change the interpretation of Medicaid expansion's impact on staging, treatment, and mortality in cancer patients. ⋯ This study reiterates the importance of explicit inference. Future state-based, cancer policy research can be improved by incorporating emerging techniques. These findings warrant caution when interpreting prior SEER research reporting significant effects of Medicaid expansion on cancer outcomes, especially studies that did not explicitly define their inference strategy.