Confidence Intervals in Healthcare Administration

 

 

Healthcare administration leaders are asked to make evidence-based decisions on a daily basis. Sometimes, these decisions involve high levels of uncertainty, as you have examined previously. Other times, there are data upon which evidence-based analysis might be conducted.

This week, you will be asked to think of scenarios where building and interpreting confidence intervals (CIs) would be useful for healthcare administration leaders to conduct a two-sided hypothesis test using fictitious data.

For example, Ralph is a healthcare administration leader who is interested in evaluating whether the mean patient satisfaction scores for his hospital are significantly different from 87 at the .05 level. He gathers a sample of 100 observations and finds that the sample mean is 83 and the standard deviation is 5. Using a t-distribution, he generates a two-sided confidence interval (CI) of 83 +/- 1.984217 *5/sqrt(100). The 95% CI is then (82.007, 83.992). If repeated intervals were conducted identically, 95% should contain the population mean. The two-sided hypothesis test can be formulated and tested just with this interval. Ho: Mu = 87, Ha: Mu<>87. Alpha = .05. If he assumes normality and that population standard deviation is unknown, he selects the t-distribution. After constructing a 95% CI, he notes that 87 is not in the interval, so he can reject the null hypothesis that the mean satisfaction rates are 87. In fact, he has an evidence-based analysis to suggest that the mean satisfaction rates are not equal to (less than) 87.

For this Discussion, consider how a CI might be used to support hypothesis testing in a healthcare scenario.

 

Sample Solution

The CI expresses the degree of uncertainty associated with a sample statistic in a nutshell (also called a study estimate). When therapists apply the CI to their practice, it lets them to see if they can realistically expect results similar to those seen in research studies. The CI, in particular, assists doctors in determining a range within which they may expect their results to fall the most of the time. The CI is a portion of the narrative that studies convey in numbers and is used in quantitative research. Individuals, communities, and systems make up populations, and these quantitative stories define their features, or parameters. It is nearly hard to collect data from the entire population in order to find solutions to clinical questions.

Folklore plays an enormous role in the formation not only of a sense of national identity, but of personal identity too – as children, many of us grow up listening to folktales involving talking animals, wicked witches, supernatural beings and magical powers, and these tales tend significantly influence our development. They can be moralizing or purely aesthetic: regardless, folktales capture the imagination and instil a sense of wonder in the listener, continuing an ancient oral tradition that links us to our ancestors. Many of the elements of folklore and the folktale are shared between cultures – the supernatural, for example, or the enduring figure of the evil, ugly old witch – but Russia enjoys a particularly rich and vibrant body of work deriving from these influences. Although interest in the folktale (skazka, in Russian) and in folkloric influences only became truly prominent in the 19th century onwards, it has had an enormous impact upon the nation’s culture, particularly in the arts. Countless writers have produced both prose and verse that is permeated with folk influences, including Lermontov, Gogol’, Pushkin and Blok. The legacy of folklore is no less prominent in the musical world of the mid-nineteenth to early-twentieth centuries: operas and orchestral works composed by the likes of Mussorgsky, Stravinsky, Rimsky-Korsakov and Liadov draw upon many aspects of folk music and archetypal characters from the skazka. This essay will examine the interaction and interdependence of these art forms, their shared roots in Slavic mythology, and the scale of the impact of these influences on modern Russian culture, with particular regard to music.

The mythological roots of Russian folklore

Many of the elements of Russian folklore can be traced back to their roots in the ritualistic pagan beliefs of the ancient Slavs; across Russia, what is now modern-day Ukraine, and other Slavic nations. Unlike the Greeks, Romans, and other peoples, not much is known about the beliefs or mythology of the prehistoric Slavs, and concrete evidence of this was only discovered in the 1st and 2nd centuries A.D. However, the sheer vastness of Russia and the surrounding areas, and the diversity of the people who inhabited them, means that these tribes were home to a real wealth of religious customs and beliefs. Invasion and occupation by groups such as the Scythian, Sarmatian, and Germanic peoples, as well as contact with the nomadic Iranian Scyths and Celtic tribes, had a significant linguistic, religious and mythological impact upon the Slavonic peoples. Despite this huge diversity, Slavic tribes shared many common beliefs and rituals. Given that these peoples were surrounded by and subject to the forces of nature, an unrivalled power that they could not yet understand, it seems inevitable that they would revere and worship it. This worshipping of nature in all its forms

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