¶ … Ha Moment The author of this brief report and response has been asked to offer one or more "a-ha" moments when it comes to the latest batch of material for the class being completed. After reviewing all of the material, there are actually several things that the author will point to. These will relate to things like the importance of accurate measurement, what correlation truly means and a few other things. While correlation and a bit of variance can be a major thing or just a coincidence, it is important to be as precise and exact as possible.

Indeed, one issue that stands out is the "Presenting Problem 2" in the material. It talks about how the identification and treatment of hypertension has made great inroads when it comes to the treatment and management of the disorder and its associated effects down the road. One thing that has apparently emerged in recent years is the ability for people to measure their blood pressure from home rather than having to go to a doctor or other location to get it reliably and accurately measured. That being said, the problem presents the issue that some of these home-based devices are less than accurate and this can obviously lead to issues. If the blood pressure is measured higher than it actually is, then it will incur concern that is not necessary. If the blood pressure is measured too low, the opposite will occur. A sort of "a-ha" moment that came about when reading all of this is the fact that people...

Not doing this can lead to elevated or otherwise incorrect readings. The point is that delegating the measuring of blood pressure to patients in their own personal life can be empowering and can lead to better results. This would certainly be true of multiple disorders and their associated measurements such as diabetes and blood sugar, cholesterol and so forth. However, it is vitally important that all forms of client education and imparting of knowledge are done completely and properly so that mismanagement and/or mismeasurement does not happen.
Much the same holds true when it comes to correlation. One might wonder why confidence intervals and all of that are necessary. The reason is not hard to fathom though. Indeed, the author has come to realize and learn that correlation and causality are not the same thing. In other words, just because two things happen concurrently (in whole or in part) does not mean that they are related and/or that one of them causes the other or is associated with the other. In many cases, whether there is correlation and causality between two events is fairly easy to figure out. For example, if a car is wet and a person sees that it rained on the car, then one knows that the two events are correlated and there is causality between the two. If, however, the rain was not witnessed, one might assume it was rain but it could have been other things like a kid hitting…