What is the difference between statistically significant evidence and clinically significant evidence?

HCA 699 Topic 5 Discussions 1, 2 Essays

Topic 5 DQ 1 Reliability and validity are related qualities but independent. They are similar to the terms “precision” and “accuracy,” respectively. A wind-up clock that does not work is accurate (valid) twice a day. But it lacks precision (reliability). A digital clock that is always 5 minutes slow is never accurate (valid) but is very precise (reliable). Elaborate on the assessment instrument used in your project to ensure validity and reliability.

Topic 5 DQ 2 Why is it important to incorporate a theory or model related to change when implementing practice changes? Does the benefit of incorporating a change model outweigh the time and effort it took to include it?

Topic 6 DQ 1 and DQ 2 Papers

Topic 6 DQ 1 When reviewing the literature and different types of evidence, there are often gaps in the findings. Are such gaps a help or a hindrance when wanting to create a change?

Topic 6 DQ 2 What is the difference between statistically significant evidence and clinically significant evidence? How would each of these findings be used to advance an evidenced-based project?

GC HCA 699 Topic 7 Discussion Assignments

Topic 7 DQ 1 (this week has one discussion) Research and EBP projects can be communicated in many ways. Which method do you think is most effective to get to the staff nurse level? To the advance practice nurses? How will you ensure that all appropriate audiences receive your information?

HCA 699 Topic 8 Discussions 1 and 2 Essays GCU

Topic 8 DQ 1 Post your Evidence-Based Practice Proposal Project Presentation as directed by the instructor. Review all of the presentations but provide critical commentary only to two others posted. This is a peer review of the proposal project, you will need to address the strengths of the proposal as well as recommendations for improvement. If a post already has two feedback posts then move on to another peer review proposal project presentation. You will be responsible for responding to each peer’s feedback that is posted to your original presentation post.

Topic 8 DQ 2 There is power in having data to support change. The EBP process is one way of advancing improvements in health care. Identify three strategies that you will now incorporate into your role in health care based on this course. Explain your rationale.

ADDITIONAL INFORMATION;

Introduction

Evidence is important in medicine, but sometimes it’s hard to tell whether a treatment has any real-world effects. This can be especially true for things like new medications or surgical procedures. Sometimes, researchers need results that show statistically significant evidence, that is, a low chance of occurring by accident—before they can conclude whether something works well. However, clinicians may also want to see clinically significant evidence: studies that show positive benefits beyond what would be expected by chance alone.

Statistically significant evidence and clinically significant evidence are two types of data used to evaluate medical treatments.

Statistically significant evidence and clinically significant evidence are two types of data used to evaluate medical treatments. Statistically significant evidence refers to the result of a study; it’s not necessarily helpful in determining effectiveness, but it can be useful in determining how well a treatment works. Clinically significant evidence refers to the actual benefit of a treatment, such as whether or not you feel better after taking medication or receiving surgery (or any other procedure).

A statistically significant result is any result that is unlikely to have happened by chance.

A statistically significant result is any result that is unlikely to have happened by chance. The p-value, which is the probability that your result was due to chance alone, determines this.

The smaller your p-value (the lower it is), the more likely it is that your results were not due to chance. If you have multiple groups and each group was tested separately, then there are many different ways for one group’s results to appear as though they had been found by chance alone, but all these ways are equally likely or improbable as being due solely to randomness; so if you can control for other factors such as variables or treatment conditions (i.e., look at things within each group independently), then statistically significant evidence would mean something like “this treatment worked better than others” or “this variable affected how well people responded.”

For example, suppose a pill decreases the incidence of headaches by 50% in 90% of patients.

Suppose a pill decreases the incidence of headaches by 50% in 90% of patients. This is statistically significant evidence that the drug is effective, because it demonstrates a true effect size. However, this doesn’t mean that it will help you, it just reduces your frequency and severity of headaches. You’ll need to take another test to find out if your dose is effective for you (and if so, how much).

In contrast to this example, consider another kind of medication that works on every patient: an injection for pain relief after tooth extraction surgeries or other procedures where local anesthesia has been used. In this case there’s no doubt about its effectiveness since every patient gets relief from his or her symptoms after being injected with it!

This would be considered statistically significant evidence.

Statistical significance is a measure of how likely it is that the results are due to chance. It’s important to remember that this means statistically significant evidence doesn’t necessarily mean clinically significant evidence.

Clinical significance refers to whether or not your treatment works, whereas statistical significance only tells you if there is enough data for you to draw conclusions about its effectiveness.

However, it might not be useful if the pill only reduced headaches slightly.

However, it might not be useful if the pill only reduced headaches slightly. If you are taking a headache medication that has a low likelihood of working and has side effects that are worse than your headache, then it’s unlikely that this can help anyone with their symptoms.

This also applies to other types of evidence: if a study shows that an intervention works in one group but not another (for example, one group responded better), then there’s no point in using that information unless you’re interested in knowing whether or not everyone responds similarly enough for it to matter—which might not happen at all!

In fact, the patient might be better off without medication if it didn’t reduce the severity of their headache by very much.

Statistically significant evidence tells us that a treatment effect is real and meaningful. It’s also more likely to be consistent with what we would expect from a natural process than clinical significance does because it provides information about how much better or worse someone feels after taking a particular drug compared with another group who did not take that drug. In other words, statistically significant evidence can tell us whether one group of people sees more improvement than another group when they are given the same treatment—but clinical significance may not be able to do this at all (for example, there may simply not be enough data in either case).

Clinically significant evidence takes into account how effective a treatment actually is at improving symptoms.

Clinically significant evidence takes into account how effective a treatment actually is at improving symptoms. In other words, it looks at the difference between what you would expect to happen and what actually happens. For example, if you take medication A and your symptoms improve by 30%, but another medication B has the same effect on your condition (C), then statistically significant evidence tells us that drug A may be more effective than drug B; however clinically significant evidence tells us that both medications were equally effective in reducing your symptoms.

The most important thing to remember about clinically significant evidence is that it’s not just about statistical significance; it also includes meaning as well as magnitude!

Some studies may not find statistically significant evidence but do show some helpful benefits.

Researchers have conducted several studies that examined the effects of using a particular herb or supplement on people with heart disease. The results seem promising, but there was no definitive proof that it was safe or effective for most patients. If you are considering taking this herb or supplement to manage your health condition, it is important to look at the results of a study in context, you should also consider other factors such as side effects and cost before making any decision about whether or not to take this medication.

Researchers can also conduct studies where they look at whether a certain treatment has clinically significant benefits in addition to finding out if their results are statistically significant.

Conclusion

Clinical significance is the standard used to determine whether a result is clinically significant. A statistically significant result does not mean that a patient must meet the clinical criteria for the disease or condition in question; it simply means that the researchers have found enough patients who had that disease or condition for their research.

Many people are under the impression that if a study has 100 patients with a condition, then all 100 will receive treatment and it will be successful even if only 10% percent of them actually did (or don’t do) get better. That’s not what happens!

Nursing Worker