MATH 225N Week 6 Discussion: Confidence Interval (2020) complete solution help

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Thinking of the many variables tracked by hospitals and doctors' offices, confidence intervals could be created for population parameters (such as means or proportions) that were calculated from man... y of them. Choose a topic of study that is tracked (or you would like to see tracked) from your place of work. Discuss the variable and parameter (mean or proportion) you chose, and explain why you would these to create an interval that captures the true value of the parameter of patients with 95% confidence. Consider the following: How would changing the confidence interval to 90% or 99% affect the study? Which of these values (90%, 95%, or 99%) would best suit the confidence level according to the type of study chosen? How might the study findings be presented to those in charge in an attempt to affect change at the workplace? Follow-Up Post Instructions Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification. Hi Prof. B and class, Hi Prof. B and class, You forewarned us about this topic being challenging, well it is. Holmes (2018) defines confidence interval as another type of estimate but, instead of being just one number, it is an interval of numbers. The interval of numbers is a range of values calculated from a given set of sample data, it is likely to include the unknown population parameter (p. 334). In all hindsight, this topic got me thinking. I’m not sure how this is tracked in my facility, but we’ve had more than a few instances of UTI’s with several of our residents and I work in a relatively small skilled nursing facility (SNF). I would like to see how it’s tracked and what are the criteria used to prescribe antibiotics, what can we do to prevent recurring UTI's. We’ve had a few residents that have been sent out to the ER due signs and symptoms, tachycardia, dysuria, change in mental status, confusion, elevated temp, among some of the symptoms exhibited; one of these residents has colonized bacteria despite the use of IV abt. A few others have been treated with oral antibiotics. One of these residents has been prescribed the infectious disease physician antibiotics indefinitely. This study by Rousham, Cooper, Petherick, Saukko, and Oppenheim (2019) found, “overdiagnosis and overtreatment can be understood as a healthcare quality problem”. In this particular study, they examined the use of dipsticks and urine microbiology among adults aged ≥70 years admitted to acute and community hospitals using a retrospective case series review. The target sample size was 250 patient records from two hospitals they surveyed. A total of 4227 admissions of adults aged ≥70 years in 2014/2015 with a UTI prevalence of 18%. The estimated population size of 800 and a 20% prevalence of UTI (95% confidence level, 5% error) a sample size of 119 patient records at each site would be adequate, so their sample size was rounded to 250 patient records. Of the results of the data reviewed, 14 records (4.5%) had missing medical records which left 298 available for analysis. The mean [Show More]

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