HRM 635 Define clinical significance, and explain the difference between clinical and statistical significance

HRM 635 Define clinical significance, and explain the difference between clinical and statistical significance

HRM 635 Define clinical significance, and explain the difference between clinical and statistical significance

Clinical significance is the significance that is linked to the significance of a course of treatments. When a project has clinical significance, it means that the intervention that was implemented had both genuine and quantifiable effects (Polit, 2017). Clinical significance has various key applications and it is mostly in major applications such as pharmaceutical testing and medical research or even in non-medical research, but it is also used in the critique of data sets.

On the other hand, statistical significance on the other hand is significance that emanates from the finding that an event is unlikely to have been caused by something else, or to have occurred by chance (Andrade, 2019).

During the implementation of EBP, I would use clinical significance to show the superiority of the interest, as compared to competing interventions. I would first design my intention in such a manner that it is extensively supported by evidence that has achieved both clinical and statistical significance, and also ensure that there are no outliers that ultimately affect the intervention. My intervention which is Nicotine Replacement Therapy and Education and in this case, I would use clinical significance to prove that both of these intentions would have a more positive impact than no intervention at all.

References

Andrade C. (2019). The P Value and Statistical Significance: Misunderstandings, Explanations, Challenges, and Alternatives. Indian journal of psychological medicine41(3), 210–215. https://doi.org/10.4103/IJPSYM.IJPSYM_193_19

Polit D. F. (2017). Clinical significance in nursing research: A discussion and descriptive analysis. International journal of nursing studies73, 17–23. https://doi.org/10.1016/j.ijnurstu.2017.05.002

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

HRM 635 Define clinical significance, and explain the difference between clinical and statistical significance
HRM 635 Define clinical significance, and explain the difference between clinical and statistical significance

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 therapies23(4), 690-694.

 

Polit, D. F. (2017). Clinical significance in nursing research: A discussion and descriptive analysis. International Journal of Nursing Studies73, 17-23.

Evidence-based practices (EBP) often have statistical information to assess or base project results and the clinical significance is key as it points to “patient safety or efficacy” and the true value of assessing via clinical research statistical results (Page, 2014). Page also informs us of the importance to incorporate information including effect sizes and confidence intervals for “clinically-relevant information” and ultimately the results are “only of value if it is properly interpreted” (2014). However, this is not the only venue to assess the outcome of a project.

Betterham and Watkins point out the statistical significance of there being or lacking differences is of limited value and stressing that a non-significant outcome does not necessarily (italics are Kitty’s) mean that a treatment or project was of no or minuscule value as many factors including sample size are key factors in the results (2006). Page continues with insight that a project or research not have an outcome that is clinically significant, yet is statistically significant “and vice-versa) (2014).

The site I am doing my preceptorship at has maintained records on each patient who has tested for Covid-19. The word has gotten out locally and beyond and in an interview, Dr. Tyson shared, their sites were seeing 200-400 persons a day (2021).  The patients they saw were provided interventions from the beginning; which we now know as Covid-19, which addressed patients symptoms including possible headache, body aches, nausea, vomiting, shortness of breath or difficulty breathing and/or temp. their test results, symptoms or asymptomatic, what interventions needed or prescribed, if additional indications led to chest x-ray and/or breathing treatment and ultimately regarding the follow-up call or return to office visit for assessment, further medications or the need to go to the hospital. In most of the cases, there has been clinical significance to optimal outcome and less need of admittance to the hospital.

Resources

Batterham, A.M. and Hopkins, W. G. (2006). Making meaningful inferences about magnitudes. International Journal of Sports Physiology Performance. (1), 50‐57.

Page, P. (2014). beyond statistical significance: clinical interpretation of rehabilitation research literature. International Journal of Sports Physical Therapy, 9(5): 726–736. Beyond statistical significance: clinical interpretation of rehabilitation research literature – PMC (nih.gov)

 

Tyson, B. (2021). The miracle of the Imperial Valley: Dr. Tyson’s first-person account of COVID-19. The Desert Review. https://www.thedesertreview.com/news/the-miracle-of-the-imperial-valley-dr-tyson-s-first-person-account-of-covid-19/article_a8707136-196b-11eb-bc7b-87d7730460bb.html

Evidence-based practices (EBP) often have statistical information to assess or base project results and the clinical significance is key as it points to “patient safety or efficacy” and the true value of assessing via clinical research statistical results (Page, 2014). Page also informs us of the importance to incorporate information including effect sizes and confidence intervals for “clinically-relevant information” and ultimately the results are “only of value if it is properly interpreted” (2014). However, this is not the only venue to assess the outcome of a project.

Betterham and Watkins point out the statistical significance of there being or lacking differences is of limited value and stressing that a non-significant outcome does not necessarily (italics are Kitty’s) mean that a treatment or project was of no or minuscule value as many factors including sample size are key factors in the results (2006). Page continues with insight that a project or research not have an outcome that is clinically significant, yet is statistically significant “and vice-versa) (2014).

The site I am doing my preceptorship at has maintained records on each patient who has tested for Covid-19. The word has gotten out locally and beyond and in an interview, Dr. Tyson shared, their sites were seeing 200-400 persons a day (2021).  The patients they saw were provided interventions from the beginning; which we now know as Covid-19, which addressed patients symptoms including possible headache, body aches, nausea, vomiting, shortness of breath or difficulty breathing and/or temp. their test results, symptoms or asymptomatic, what interventions needed or prescribed, if additional indications led to chest x-ray and/or breathing treatment and ultimately regarding the follow-up call or return to office visit for assessment, further medications or the need to go to the hospital. In most of the cases, there has been clinical significance to optimal outcome and less need of admittance to the hospital.

Resources

Batterham, A.M. and Hopkins, W. G. (2006). Making meaningful inferences about magnitudes. International Journal of Sports Physiology Performance. (1), 50‐57.

Page, P. (2014). beyond statistical significance: clinical interpretation of rehabilitation research literature. International Journal of Sports Physical Therapy, 9(5): 726–736. Beyond statistical significance: clinical interpretation of rehabilitation research literature – PMC (nih.gov)

 

Tyson, B. (2021). The miracle of the Imperial Valley: Dr. Tyson’s first-person account of COVID-19. The Desert Review. https://www.thedesertreview.com/news/the-miracle-of-the-imperial-valley-dr-tyson-s-first-person-account-of-covid-19/article_a8707136-196b-11eb-bc7b-87d7730460bb.html