the effectiveness of interventions.
the effectiveness of interventions.
Statistical significance and clinical significance are vital is determining how effective different studies are. Studies have shown that clinical significance is difficult to define and has different meanings. According to Polit (2017), one definition is “the degree of improvement experiences by patients (e.g., the amount of pain reduction among patients with cancer)” (p. 18). Another definition is “the absence of change (e.g., the absence of deterioration in spirometry test values among patients with idiopathic pulmonary fibrosis” or there is change, “the amount of change that would be clinically significant might depend on what the “baseline” value is” (p. 18). Statistical significance is defined as the way “to indicate that the result of a statistical analysis probably are not attributable to chance or serendipity, at a specified level of probability” (Polit, 2017, p. 18). A major difference between clinical significance and statistical significance, statistical significance is affected by sample size; whereas, clinical significance relies on patient-reported outcomes, such as quality of life and pain to determine the effectiveness of interventions.
I can use clinical significance to support positive outcomes in my project by ensuring that staff and management are aware of the guidelines of the project. I would also try to motivate the staff to implement the change in patient care by informing them how engaging in the interventions would improve patient outcomes. It would also improve staff outcomes because the patients would have less instances of pressure ulcer development, and the nurses and other staff can focus on other parts of patient care. Other types of care would include medication administration and ADLs. The company would also save money on the supplies needed to heal and treat pressure wounds. The company could use the money they save on other supplies, improve the facility, or give back to the employees.
Comment 4
Clinical significance is defined as a subjective explanation of a research result as practical or useful for the patient and likely to affect provider behavior and statistical significance deals with the probability that a research result is accurate according to Thompson (2017).
Clinical significance (CS) can also be know as clinical importance or practical importance. CS relates to the research results effect on patient outcomes relating to pain, treatment effects, or comfort. CS is a subjective decision that tells us how effective the research may be to patients,
Statistical significance (SS) tells us the chance that research is a chance finding, according to Thompson (2017). SS is based on the sample size and depending on how large the sample is, most can be statistically significant.
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