In clinical practice, the clinical significance of a result is dependent on its implications on existing practice.
In clinical practice, the clinical significance of a result is dependent on its implications on existing practice. Clinical significance pertains to whether an observed effect is important in treating a disease, determination of diagnosis, or other comparative/descriptive statistics (Zbrog, 2020). Clinical significance asks: “Does this observed difference affect the approach to treatment or diagnosis for patients?” Statistical significance depends strongly and heavily on the study’s sample size and number; with large sample sizes and numbers, even minor treatment effects (clinically inconsequential) can appear statistically important and significant; for that reason, the reader should carefully interpret whether this significance is clinically meaningful and significant. Statistical significance allows us to discover quantitatively whether differences among sample groups from any population are due to chance or have any actual difference (Zbrog, 2020). I will be using clinical significance to support positive outcomes in my project outcome by ensuring that the result is statistically significant. This is because most significant findings typically have clinical importance, and there will need to be a method/way to sort those outcomes.
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