Topic 5 DQ 1 Replies

Reply to Maratas

Hello, Maratas. (Topic 5 DQ 1 Replies)

Thank you for an informative and elaborative discussion. Research is done for various purposes, but the aim is always to develop usable and beneficial outcomes that can be used to enhance and inform practice. Indeed statistically significant results are not always clinically significant, but they are useful in informing researchers whether the outcomes of their research are due to chance or due to some factor of interest. A statistically significant result means that it is real and not due to luck in the sample selection. Clinically significant results help improve practice, treatment, or patient care. For instance, a drug with positive effects can be said to have clinical significance. (Topic 5 DQ 1 Replies)

References

Sharma H. (2021). Statistical significance or clinical significance? A researcher’s dilemma for appropriate interpretation of research results. Saudi journal of anaesthesia, 15(4), 431–434. https://doi.org/10.4103/sja.sja_158_21

Reply to Schott

Hello, Schott.

Thank you for the great post. Statistically significance results can be clinically significance, but not always. Statistical significance means that the results from data generated through an experiment or testing is likely to be linked to a particular cause rather than occurring by chance. It helps researchers determine the relationship between variables. Some variables have weak effects, but their results are statistically significant. However, the effect has to be considerable for a result to be considered clinically significant. For instance, a treatment intervention or research experiment that helps a patient to a point they recover from their illness would be categorized as clinically significant. (Topic 5 DQ 1 Replies)

References

Ranganathan, P., Pramesh, C. S., & Buyse, M. (2015). Common pitfalls in statistical analysis: Clinical versus statistical significance. Perspectives in clinical research, 6(3), 169–170. https://doi.org/10.4103/2229-3485.159943

Reply to Blake

Hello, Blake.

I enjoyed reading you discussion for its clarity and comprehensiveness. Indeed clinicians should adopt current best evidence to inform medical and clinical decisions. Statistical significance shows that the results of a research study can relied on, are real, and are not due to chance. Researchers can determine that a relationship between two variables exists and is authentic through statistical significance. I concur that the results or effects of a relationship must be large enough to be considered clinically significant. For instance, the Covid-19 vaccine was allowed for use in treating the virus after researchers determined the effect was large enough to help patients recover. Clinical significance also means that the effects outweighs the costs and any inconveniences that are linked to the intervention or information obtained from research. (Topic 5 DQ 1 Replies)

References

Topic 5 DQ 1 Replies