Journal of evaluation in clinical practice
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Antibiotic prescription, its nature and its duration are a very common decision-making situation in primary care practice. Clinical practice guidelines (CPGs) are regularly emitted by various organisations on this topic. ⋯ There is a lack of quality in the development process of the current French guidelines in primary care infectiology. This process should be reconsidered, with higher insistence as to its quality.
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This study was conducted to determine the effect of nurses' attitudes towards evidence-based practices on individualised nursing care. ⋯ Positive attitude towards evidence-based nursing practices positively affects individualised care. Variables such as professional experience positively affect nurses' attitudes towards evidence-based nursing. A positive and significant relationship was found between nurses' attitudes towards evidence-based practice and their attitudes towards individualised care.
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Meta-analysis, a powerful technique for combining effect estimates from multiple studies, enhances statistical power and precision. However, its adoption can be hindered by challenges in statistical interpretation and the complexity of specialized software. MetaXL, a freely available Microsoft Excel add-in, aims to mitigate these barriers by providing comprehensive support and facilitating seamless integration of meta-analytical results into research publications. ⋯ This tutorial offers researchers, particularly those with limited resources, detailed explanations and insights into commonly used methodologies for pooling effect sizes. Furthermore, it introduces the new Excel functions that comes with the MetaXL add-in. Accurate population of this function and adherence to the correct format are essential to ensure error-free analyzes.
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The present paper aimed at discussing how the process of decision-making should be taken care of in healthcare services. ⋯ In depht analysis of meaning-making processes is crucial for better refining good practices of shared decision-making.
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Hypothesis testing is integral to health research and is commonly completed through frequentist statistics focused on computing p values. p Values have been long criticized for offering limited information about the relationship of variables and strength of evidence concerning the plausibility, presence and certainty of associations among variables. Bayesian statistics is a potential alternative for inference-making. Despite emerging discussion on Bayesian statistics across various disciplines, the uptake of Bayesian statistics in health research is still limited. ⋯ Health researchers should supplement frequentists statistics with Bayesian statistics when analysing research data. The overreliance on p values for clinical decisions making should be avoided. Bayes factors offer a more intuitive measure of assessing the strength of evidence for null and alternative hypothesis.