Question: Write a response to this discussion comment
Clinical significance and statistical significance are both important when evaluating the success of an evidence-based practice (EBP) project, but they measure different outcomes. Statistical significance refers to whether the results of a study are unlikely to have occurred by chance, typically determined through a p-value or confidence interval. In contrast, clinical significance focuses on whether the change is meaningful in practice and improves patient care, outcomes, or organizational performance (Canellas et al., 2024). Even when a project does not achieve statistical significance, it may still demonstrate clinical significance if it produces meaningful improvements for patients and healthcare providers.
For my capstone project at Summerlin Hospital Medical Center, which aims to decrease emergency room (ER) length of stay, clinical significance is especially important. For example, if the intervention reduces average ER length of stay by 30 minutes to one hour, improves patient satisfaction scores, decreases the number of patients leaving without being seen, or reduces mortality rates, these outcomes would be clinically meaningful even if the statistical analysis does not show a significant difference. Research has demonstrated that prolonged ER length of stay is associated with poorer patient outcomes, including increased mortality and delays in treatment (Balen et al., 2024; Lauque et al., 2022).
Therefore, clinical significance can support the value of the project by demonstrating real-world benefits to patients, staff, and the organization. These practical improvements can justify sustaining and expanding the intervention, even when statistical significance is not achieved. Need Assignment Help?