As of October 1, 2012, hospitals in the United States with excessive numbers of readmissions based on the Centers for Medicare and Medicaid Services (CMS) data were penalized. Therefore, it is important for hospitals to identify the risk factors associated with readmission. The following data represent statistics on patients readmitted within 30 days and those not readmitted within 30 days of being discharged at a community hospital. Conduct the appropriate test for each variable that might be associated with readmission (age, length of stay, and so on). Researchers wonder if:

• The readmits tend to be older

• Is length of stay longer for readmits

• Were a higher proportion of readmits admitted the previous calendar year

• Were a higher proportion of readmits discharged in winter

• Were a higher proportion of readmits on the cardiac floor

Write a short report detailing your findings.

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Readmit Non-Readmit 637 3137 п Age Mean: 78.0 Mean: 76.0 Standard deviation: 13.7 Standard deviation: 15.8 Mean: 4.8 Length of stay on previous visit Mean: 3.9 Standard deviation: 4.3 Standard deviation: 3.1 Admission in 139 out of 637 445 out of 3137 previous calendar year Season 199 out of 637 765 out of 3137 readmits were non-readmits were discharged in winter discharged in winter 1617 out of 3137 non- Floor 332 out of 637 readmits were on the readmits were on the cardiac floor cardiac floor