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Logistic Regression in Nursing PracticeLogistic regression is used to analyze a wide variety of variables that may surround a singular outcome. For example, logistic regression could be used to identify the likelihood of a patient having a heart attack or stroke based on a variety of factors including age, sex, genetic characteristics, weight, and any preexisting health conditions. The biological systems and issues with which the health care field is concerned represent the kinds of applications for which logistic regression is especially useful.Logistic regression is used in the health care field for many purposes, including diagnoses, predictions, and forecasting. The three articles in this week’s Learning Resources illustrate the many uses of logistic regression in the health care field. This Discussion allows you to explore the different uses of logistic regression and cultivate a deeper understanding of the application of logistic regression in evidence-based practice.To prepare:Review      the three articles in this week’s Learning Resources and evaluate their      use of logistic regression. Select one article that interests you to      examine more closely in this DiscussionCritically      analyze the article you selected considering the following questions:What       are the goals and purposes of the research study the article describes?How       is logistic regression used in the study? What are the results of its       use?What       other quantitative and statistical methods could be used to address the       research issue discussed in the article?What       are the strengths and weaknesses of the study?How       could the weaknesses of the study be remedied?How       could findings from this study contribute to evidence-based practice, the       nursing profession, or society?By Thursday 10/12/17, 5 pm, write a minimum of 550 words essay in APA format. Use at least 3 references from the list of required reading below.  Include the level one headings as numbered below.Post a cohesive response that addresses the following:1) In the first line of your posting, identify the article you examined, providing its correct APA citation. (See attached PDF file for the article).2) Post your critical analysis of the article as outlined above (make sure to answer all the points asked above in the”To Prepare”area, bullets [1, 2, 3]).3) Propose potential remedies to address the weaknesses of each study (bullets 4 and 5 in the”To Prepared”area).4) Analyze the importance of this study to evidence-based practice, the nursing profession, or society (bullet 6 in the”To Prepared”area).Learning Resources.Required Media“Multiple Regression”Used by permission from SPSS VideoTutor.com A division of Consumer Raters LLC., 1121 S Military Trail, 314, Deerfield Beach, FL 33442, USANote: The approximate length of this media piece is 5 minutes.“Logistic Regression”Used by permission from SPSSVideoTutor.com A division of Consumer Raters LLC., 1121 S Military Trail, 314, Deerfield Beach, FL 33442, USANote: The approximate length of this media piece is 15 minutes.Required ReadingsGray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.Chapter 24, “Using Statistics to Predict”This chapter asserts that predictive analyses are based on probability theory instead of decision theory. It also analyzes how variation plays a critical role in simple linear regression and multiple regression.Statistics and Data Analysis for Nursing ResearchChapter 9, “Correlation and Simple Regression” (pp. 208–222)This section of Chapter 9 discusses the simple regression equation and outlines major components of regression, including errors of prediction, residuals, OLS regression, and ordinary least-square regression.Chapter 10, “Multiple Regression”Chapter 10 focuses on multiple regression as a statistical procedure and explains multivariate statistics and their relationship to multiple regression concepts, equations, and tests.Chapter 12, “Logistic Regression”This chapter provides an overview of logistic regression, which is a form of statistical analysis frequently used in nursing research.Hoerster, K. D., Mayer, J. A., Gabbard, S., Kronick, R. G., Roesch, S. C., Malcarne, V. L., & Zuniga, M. L. (2011). Impact of individual-, environmental-, and policy-level factors on health care utilization among US farmworkers. American Journal of Public Health, 101(4), 685–692. doi:10.2105/AJPH.2009.190892This article discusses the results of a study of how many U.S. farmworkers accessed U.S. health care. The study considered this question on several levels—individual, environmental, and policy—and used logistic regression to analyze the multivariate data gathered.Tritica-Majnaric, L., Zekic-Susac, M., Sarlija, N., & Vitale, B. (2010). Prediction of influenza vaccination outcome by neural networks and logistic regression. Journal of Biomedical Informatics, 43(5), 774–781. doi:10.1016/j.jbi.2010.04.011.This article describes the methods and results of a neural network study on the effectiveness of the influenza vaccine using historical data in three neural network algorithms. The article also provides a discussion of logistic regression in comparison to the neural network algorithms used.Xiao, Y., Griffin, M. P., Lake, D. E., & Moorman, J. R. (2010). Nearest-neighbor and logistic regression analyses of clinical and heart rate characteristics in the early diagnosis of neonatal sepsis. Medical Decision Making, 30(2), 258–266. doi:10.1177/0272989X09337791This article outlines the procedures and findings of a study on the use of two methods of neonatal sepsis diagnosis: nearest-neighbor analysis and logistic regression analysis. The results indicated that each method generates unique information useful to diagnosis, and therefore both methods should be used simultaneously for improved accuracy of diagnoses.Optional ResourcesWalden University. (n.d.). Linear regression. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_linear_regression.html

As an advanced practice nurse assisting physicians in the diagnosis and treatment of disorders, it is important to not only understand the impact of disorders on the body, but also the impact of drug treatments on the body. The relationships between drugs and the body can be described by pharmacokinetics and pharmacodynamics. Pharmacokinetics describes what the body does to the drug through absorption, distribution, metabolism, and excretion, whereas pharmacodynamics describes what the drug does to the body. When selecting drugs and determining dosages for patients, it is essential to consider individual patient factors that might impact the patient’s pharmacokinetic and pharamcodynamic processes. These patient factors include genetics, gender, ethnicity, age, behavior (i.e., diet, nutrition, smoking, alcohol, illicit drug abuse), and/or pathophysiological changes due to disease. In this Discussion, you reflect on a case from your past clinical experiences and consider how a particular patient’s pharmacokinetic and pharmacodynamic processes altered his or her response to a drug.To prepare:· Review this week’s media presentation with Dr. Terry Buttaro, as well as Chapter 2 of the Arcangelo and Peterson text, and the Scott article in the Learning Resources. Consider the principles of pharmacokinetics and pharmacodynamics.· Reflect on your experiences, observations, and/or clinical practices from the last five years. Select a case from the last five years that involves a patient whose individual differences in pharmacokinetic and pharmacodynamic factors altered his or her anticipated response to a drug. When referring to your patient, make sure to use a pseudonym or other false form of identification. This is to ensure the privacy and protection of the patient.· Consider factors that might have influenced the patient’s pharmacokinetic and pharmacodynamic processes such as genetics (including pharmacogenetics), gender, ethnicity, age, behavior, and/or possible pathophysiological changes due to disease.· Think about a personalized plan of care based on these influencing factors and patient history in your case study.With these thoughts in mind:Post a description of the case you selected. Then, describe factors that might have influenced pharmacokinetic and pharmacodynamic processes of the patient from the case you selected. Finally, explain details of the personalized plan of care that you would develop based on influencing factors and patient history in your case.- This work should have Introduction and conclusion- This work should have at 3 to 5current references (Year 2012 and up)- Use at least 2 references from class Learning ResourcesThe following Resources are not acceptable:1. Wikipedia2. Cdc.gov- nonhealthcare professionals section3. Webmd.com4. Mayoclinic.comLEARNING RESOURCES**Arcangelo, V. P., Peterson, A. M., Wilbur, V., & Reinhold, J. A. (Eds.). (2017). Pharmacotherapeutics for advanced practice: A practical approach (4th ed.). Ambler, PA: Lippincott Williams & Wilkins.Chapter 2, “Pharmacokinetic      Basis of Therapeutics and Pharmacodynamic Principles” (pp. 17-31)This chapter examines concepts related to pharmacokinetics and      pharmacodynamics. It also explores patient factors that health care      providers consider when prescribing drug therapy to patients.Chapter 3, “Impact of Drug      Interactions and Adverse Events on Therapeutics” (pp. 33-51)This chapter explains drug-drug, drug-food, drug-herb, and drug-disease      interactions. It also reviews patient factors that influence drug      interactions and then covers adverse drug reactions.Chapter 4, “Principles of      Pharmacotherapy in Pediatrics” (pp. 53-63)This chapter explores concepts relating to drug selection, administration,      and interaction for pediatric patients. It also compares age-related      pharmacokinetic differences in children and adults.Chapter 6, “Principles of Pharmacotherapy in      Elderly Patients” (pp. 73-89)This chapter describes issues and factors that affect drug therapy for      elderly patients. It then explores concepts relating to drug selection,      administration, and management for elderly patients.**Scott, S. A. (2011). Personalizing medicine with clinical pharmacogenetics. Genetics in Medicine, 13(12), 987–995. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3290900/This article examines pharmacogenetic testing in relation to personalized drug therapy plans and explores evidence-based guidelines and recommendations on pharmacogenetic testing.**Drugs.com. (2012). Retrieved August 22, 2012, from http://www.drugs.com/This website presents a comprehensive review of prescription and over-the-counter drugs including information on common uses and potential side effects. It also provides updates relating to new drugs on the market, support from health professionals, and a drug-drug interactions checker.**Haymarket Media, Inc. (2012). Retrieved from http://www.empr.com/**Institute for Safe Medication Practices. (2012). Retrieved from http://www.ismp.org/**WebMD. (2012). Medscape. Retrieved from http://www.medscape.com/

Week 7 Assignment: Textbook Problems:Create Attribute Control ChartsDue 10/6/2018As a current or future health care administration leader, you will likely engage in creating and presenting attribute control charts for your health services organization. As you have examined in this course, the use of attribute control charts will depend on the specific processes in your health services organization that require monitoring and oversight. Apart from interpreting and understanding the results of control charts for ensuring that processes are in control, developing skills in creating attribute variable control charts is necessary for health care administration practice.For this Assignment, review the resources for this week that are specific to attribute control charts. You should focus on mimicking the development of p and np charts as demonstrated in the readings for this week.The Assignment: (3– pages)· Using SPSS and Microsoft Word, complete problems 1 through 5 on pages 297–299 in the Ross textbook. Showallwork. Submit both your SPSS and Word files for grading.ROBLEMS1. A hospital is analyzing nosocomial infections and wants to reduce their infection rate below the national average of 2.0%. They have sampled 40 cases every week for the last 20 weeks. The data are shown below. Create p and np control charts. Interpret the graphs. How is the hospital performing in relation to its stated goal?1 2 11 32 1 12 43 1 13 24 2 14 35 1 15 46 1 16 57 3 17 38 2 18 49 1 19 510 2 20 62. Walter Shewhart ([1931] 1980) presented the following data in his classic Economic Control of Quality of Manufactured Product. Create a p chart for each machine. Does either of the two machines show evidence of special cause variation?MACHINE AMACHINE BMACHINE BMonthDefectiveInspectedDefectiveInspectedJan 4 527Feb 5 610Mar 5 428Apr 2 400May 15 498Jun 3 500Jul 3 395Aug 2 393Sep 3 625Oct 13 465Nov 5 446Dec 3 510Average 5.25 483.081 1693 991 2081 1961 1321 891 1672 2001 1711 1223 1071 1321.42 149.333. From January 1846 through December 1848 Semmelweis ([1860] 1983) recorded births and the number that resulted in the death of the mother at his hospital. The data is available in the Chapter07.xls file, in the Problem07–03 tab. Create a p chart to analyze performance. Interpret the chart. Was the system stable?4. Postsurgical infections have been reported to affect 2% to 5% of the 16 million patients who undergo surgery in U.S. hospitals. Infections increase the chance of complications and death. Antibiotics given one hour prior to surgery have been shown to reduce the probabil- ity of infection. The director of quality improvement has sampled 20 patients per week over the preceding 25 weeks. The data is available in the Chapter07.xls file in the Problem07–04 tab. The data collected records whether a patient contracted an infection after surgery. Create a p chart to analyze performance. Interpret the hospital’s performance based on your control chart and identify any issues that should be investigated. Assuming the aver- age rate of infection is 3.5%, is the hospital doing a good job?5. Readmission rates within one year for congestive heart failure have been documented at 35%. A local heart program wants to assess its performance against this standard. The pro- gram has randomly selected ten patients per month over a 24-month period for review. The data is available in the Chapter07.xls file, in the Problem07–05 tab. Some of the patients were deleted from the sample due to death, relocation, or other reasons that preclude follow-up. Create a p chart. Is the process stable? How is the program performing relative to the documented standard? Since not all months have 10 observations, either use 10 as the sample size or use the average sample size to calculate the control limits.

Comment using your own words but please provide at least one reference for each comment.Do a half page for discussion #1 and another half page for discussion #2 for a total of one page.Provide the comment for each discussion separate.