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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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.
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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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Addressing Diversity, Equity and Inclusion in health care is a multidimensional challenge. From a US perspective, the third-party payment system has disempowered and depersonalized health-care delivery. The net result is wasteful and inefficient use of human and financial resources, burnout among providers, as well as care inequities. ⋯ Patient and providers who are actively engaged in shared decision-making will naturally address the diverse needs of multitudinous communities. Intermediaries address inclusion by connecting resources with the point of care. In a dynamic, emerging health-care system that serves diverse communities, patient and community-based financing, vouchers and defined contributions are necessary first steps in addressing cultural diversity, inclusion and equity.
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The extent to which governments provide socioeconomic supports has been highlighted by their spending during the COVID-19 pandemic. This has implications for patterns of inequality, in particular on exacerbating unequal health and well-being. ⋯ There are a number of examples presented of the effects of inequalities on health and well-being. The role of general practice in addressing these is discussed and challenges are highlighted, especially those relating to payment systems and workforce constraints.