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MATH 225N Week 6 Discussion Confidence Interval, MATH225N: Statistical Reasoning for the Health Sciences, Chamberlain College of Nursing$7.99
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math225n statistical reasoning for the health sciences
chamberlain college of nursing
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Professor and Class,
I work on med-surg/ortho floor. Preventing HAC (Hospital Acquired Conditions) is
a big thing in hospitals because HAC’s lead to non-payment to the hospital which leads
to the hospital having to pay for these conditions and they are pricey! In order for the
hospital to operate/function, costs need to be cut/optimized, and what better way to cut
costs than to prevent them as much as possible?! For this discussion, instead of all
HAC’s, I will focus on SSI (Surgical Site Infections) which one of the many HAC’s, but
specific to my area of work. The hospital does many things to bring these infection rates
down to the minimum including preop labs, preop/postop antibiotics, preop CHG
bathing, and other prevention methods. Even with prevention, surgical site infections
still occur.
For examples sake, let’s say in 3 months’ time, there are 400 total joint
arthroplasties performed at my hospital. Of these 400 patients, 5 patients acquired a
surgical site infection (HAC). This would give me a sample proportion of 0.0125
m
er as
meaning that 1.25% of total joint arthroplasty patients acquired an HAC/SSI. Using
co
week 6 excel spreadsheet, “we can then expect that the population value will be within
eH w
that interval”, and I can be 95% confident that population proportion of SSI’s after total
o.
knee arthroplasty surgery would fall between 0.16% and 2.34% (Chamberlain College
of Nursing, 2019).
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is
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Increasing the sample size would decrease the interval, therefore making the
sh
distance between the lower limit and upper limit smaller, which would increase the
accuracy of the study. When I use the excel spreadsheet to increase my confidence
level to 99%, it gives me a negative lower limit, which means my sample size is too
small to get a 99% confidence interval. When I increase the sample size to 800 and the
number of infections/successes to 10 (same proportion), it gives me an interval of .24%
to 2.26%. When I use my original sample proportion with a 90% confidence level, it
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