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Use of Statistical Information Critical cares main goal is to give the care of best quality to the patients and by doing so to achieve the best possible results. This part of health care, critical care is, just as other branches of health care, in great need for effective statistic gathering tools. Due to proper statistics and received information, better results of curing can be achieved. This information also provides the insight on the results that the care will bring, not regarding the fact of the quality of critical care, meaning people who come from the same area and share similar traits are more likely to have similar outcomes of diseases. The statistical information that is gathered in the described above process is usually organized with the following statistical model, the multiple logistic regression model (1), which has patient characteristics as the independent variable and the death before discharge from the hospital after critical care (1) as the dependent one. Besides the important data described above is a very important type of statistical information that is being collected is the percentage of deaths versus the percentage of cured.
This data is not always true, and cannot in most cases be regarded as an objective source to evaluating whether a certain treatment is more or less effective, due to the fact that the patient who leave critical care, are not followed upon at home, meaning once the patient leaves the statistics do not record the fact that he dies in the next 24 hours upon leaving the hospital. Thus this sort of information, the death rates, is crucial, but there is also an importance to improve the process of collecting this data, in order to achieve better results. Another type of statistical data that is very important to critical care is the variations between geographic areas in surgical procedure rates. (2) This information plays great importance due to the fact that diagnoses in the critical care can be made more precisely, if this type of data is present. As a result it can be evaluated whether one national group, or one neighborhood is addressing the hospital with similar diseases or not. In such case when a patient comes into critical care with sharp pain in the side, upon regarding the statistics, the doctors will be surer that it is the appendicitis causing pain, rather than debating whether it is this cause or just liver pangs. One of the oldest types of statistics, which has been collected for a long time, and is used in many countries, is the statistics of the cause of death.
This type of statistics gives a useful insight on what the main reasons of death are, and what should be paid more attention to, in order to overcome this type of end result. In the text above several types of statistics, being collected in critical care, are shown. Through regarding this respect we can note that these types of data collecting and modulating is not complete, it does not give a full picture of the health situation in the country or in any are as whole. Most of the statistical data that is being collected nowadays has a major minus, this minus is the fact that our healthcare statistical information gives us more information on how much is spent on the health care, and not as much on how much healthier the people got.
The data that we have does not give us any information regarding the fact whether our nation in general is healthier that it used to be or not, whether people in general suffer fewer diseases or not, which diseases occur most often this type of statistical data is greatly missing. There are many models, which can be used in order to collect and put together the statistical data that is needed, with these new informational sources the level of the healthcare in our country can greatly increase, thus bringing better quality to life. If the sphere of critical care receives more funding for the conducting of statistical researches the health system as a whole will thrive. To sum up everything said above we can conclude that the mathematical science of statistics can bring great benefits to a completely non mathematical part of our everyday lives health, thus we can see how important the collecting of data is for the health of every single given individual.
Literature used Wilk, M. , (1991) Report of the National Task Force on Health Information Ottawa, (retrieved from web) Wolfson M. , (1992) A Template for Health Information, World Health Organization Statistical Quarterly, retrieved from web
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Research essay sample on Due To The Fact Critical Care
