Clinical significance and the difference between clinical and statistical significance
Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?
Statistical and clinical significance
Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?
In a successful evidence-based project implementation, it is essential to understand and interpret the research findings. Therefore, it becomes critical to recognize and appreciate the difference between clinical significance and statistical significance. Statistical significance in research is phenomenon that is used to indicate the reliability of the study results by highlighting that a certain claim from data generated from experiment is attributed to a specific cause (Fleischmann & Vaughan, 2019). When the degree of statistical significance is high, the implication is that the observed relationship is unlikely coincidental but rather it has a direct association with a certain cause.
Clinical significance is essential in highlighting its implication in clinical practice. Clinically significant results or outcomes are subjective interpretations that are based on research findings as having healthcare implications for the specified patient. Clinically significant results indicate that the research findings can influence the healthcare practices and interventions hence shaping the behavior of healthcare practitioners. For results to be labeled clinically significant, the data must convince medical experts that the findings can inform the provision of care for a particular patient.
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In the case of evidence-based research practice, it is essential to determine statistical significance of the research results before ascertaining whether the results are clinically significant. The main reason for establishing statistical significance before determining clinical significance is that clinical significance is determined after evaluating several research or experimental findings and confirming that they are statistically significant (Polit, 2017). I can make use of clinical significance to inform positive outcomes in my project outcome by ensuring that the results are statistically significant because clinical significance is informed by statistically significant results.
References
Fleischmann, M., & Vaughan, B. (2019). Commentary: statistical significance and clinical significance-a call to consider patient reported outcome measures, effect size, confidence interval and minimal clinically important difference (MCID). Journal of bodywork and movement therapies, 23(4), 690-694.
Polit, D. F. (2017). Clinical significance in nursing research: A discussion and descriptive analysis. International Journal of Nursing Studies, 73, 17-23.