Analysis of Data Reports Presentation

ANALYSIS OF DATA REPORTS Example Presentation for HCS 438 Statistical Applications course at the University of Phoenix


Analysis of Data Reports

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Slide 5: According to Trochim (2006), “The t-test assesses whether the means of two groups are statistically different from each other” (p. 1). The t-test was chosen for this study because two types of patient care units were compared in several different areas, and the t-test is the best choice for this type of study. The results of the t-test show that the data suggests that the BCMA implementation made statistically significant changes to the accuracy of medication administration on the medical-surgical units observed in the study, but had very little impact on the ICU units (Helmons, Wargel, & Daniels, 2009).

On the medical-surgical units, the benefits of using BCMA were apparent through the decrease in the number of different types of medication errors, such as administering the medication at the wrong time or administering the wrong medication. In the ICU units, the number of wrong-time medication errors increased, while the number of other types of medication areas dropped a small amount. The number of all medication errors after the implementation to the ICU units went up (Helmons et al., 2009).

Slide 6: The student t-test was also used for the second study, due to the appropriateness of the data needed and number of groups being studied. This article compares two patient units that are similar in type and size. One unit was educated and coached when using an electronic medication administration charting system and observed to see the improvement in following through with the necessary charting before the education and after. Another unit was also observed, but did not receive the coaching and education the other group had (Nelson, Evans, Samore, & Gardner, 2005).

The results of the test in study #2 show that the education and coaching given to the study unit was an important factor in raising the frequency of medication administration charting. In the control unit, the rate actually went down. These findings suggest that education and consistent coaching are effective ways to increase the rate of medication administration charting (Nelson et al., 2005).

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