Over the course of the six-month pilot period, the program went well.
Question Over the course of the six-month pilot period, the program went well.The participants were engaged and seemed motivated, with very few missed appointments and no dropouts along the way. While the program ran smoothly the cost of the program compared to its value would continue to be a factor in whether the program would be renewed. The clinic expressed its commitment to continue the program if the program was found to be successful in reducing participants’ blood glucose levels. Sarah is asked to demonstrate or explain report to the clinic’s CEO detailing the value of the disease management intervention. In collecting the data, Sarah found that at the beginning of the pilot the group’s average blood glucose level was 257.5 milligrams per deciliter. At the end of the pilot period, the average blood glucose level for the group was 240 milligrams per deciliter. Sarah have some knowledge of statistics and want to be pretty conservative in her analysis, so that she set her desired alpha level at 0.01. Sarah asked a statistician friend to run the numbers and she reported back with the following statistics: -t-test value: -3.68 -p-value: <0.01Demonstrate or explain a brief report to Dr. Wilhelmina Smith, CEO of the diabetes clinic, detailing Sarah’s findings and her recommendation regarding whether the disease management program should be continued. In other words, Sarah need to answer the question: Did the disease management program work? Sarah’s brief should, at a minimum, include the following details: -Follow the instructions and examples for hypothesis testing described in the NEDARC resource Hypothesis Testing and complete the following: -State the alternative hypothesis (Ha) and null hypothesis (Ho) for her analysis. Sarah will need to construct these for her report based on the scenario described above. -Set the alpha level and explain its significance. -Interpret the probability of Ho being true using the statistical results above. -Explain whether the data supports accepting or rejecting the Ho. -Discuss the potential sources of errors (Type I and Type II) possible in all hypothesis testing exercises and provide an explanation of the practical ramifications to Sarah’s decision of making an error of each type. -Provide recommendations about whether to continue the program and a justification for Sarah’s l decision based on the results.References -Cummins, R. O., & Hazinski, M. F. (2000). Guidelines based on fear of type II (false-negative) errors: Why we dropped the pulse check for lay rescuers. Resuscitation, 46(1-3), 439-442. Retrieved from https://doi-org.proxy.library.ohio.edu/10.1016/S0300-9572(00)00302-6 -NEDARC. (2016). Hypothesis testing. Retrieved from http://www.nedarc.org/statisticalHelp/advancedStatisticalTopics/hypothesisTesting.html -Rothman, K. J. (2010). Curbing type I and type II errors. European Journal of Epidemiology, 25, 223-224. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2850991/pdf/10654_2010_Article_9437.pdf Health Science Science Nursing MHA HLTH 6040 Share QuestionEmailCopy link Comments (0)
