Part 1 Building Regression Models in Health Care
Finding evidence-based relationships among variables is an important tool for any healthcare administration leader. On a daily basis, healthcare administration leaders may want to see what variables are correlated so that they can implement quality improvement.This week, you think of scenarios where building and interpreting regression models would be useful for healthcare administration leaders.
You might consider building off.
For example, Jenna, a healthcare administration leader, determined last week that patient satisfaction scores had fallen from the mean of 87. She wants to know why. She believes that it may have something to do with patient waiting time and time spent with the doctor. Thus, her dependent variable (y) is patient satisfaction and the independent variables are waiting time (x1) and time spent with the doctor (x2). She can evaluate the relationship between these two variables using correlation; bivariate scatterplots for y vs. x1 and y vs. x2; and regression techniques.
For this Discussion, think about a healthcare scenario where multiple regression might be useful in your organization or one with which you are familiar. Consider what your dependent and independent variables might be for conducting a multiple regression analysis. Build a small example, and run the regression analysis.
PART 2 REGRESSION MODELING
Regression modeling is a foundational skill for those conducting secondary data analysis, much like you will encounter in the completion of the Doctor of Healthcare Administration (DHA) program. Additionally, regression modeling assists in finding connections among multiple variables and one dependent variable. Consider, for example, a healthcare administrator who may be asked to develop or interpret models of patient satisfaction based on other quantitative or dichotomous variables.
For this Assignment, review the resources for this week. Complete Case Study. The case study is based on a real-world problem.
- Complete Case Study 11.1, “Artsy Corporation,” using SPSS.
Submit your answers and embedded analysis (SPSS and other analysis) as a Microsoft Word management report
Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning.
- Chapter 10, “Regression Analysis: Estimating Relationships” (pp. 463â€“531)
- Chapter 11, “Regression Analysis: Statistical Inference” (pp. 532â€“589)
Fulton, L., Lasdon, L. S., & McDaniel, R. R. (2007). Cost drivers and resource allocation in military health care systems. Military Medicine, 172(3), 244â€“249.
Note: Retrieved from the Walden Library databases.
PART 3: Reducing Readmissions: Brief to the Board of Directors
In an effort to reduce the high costs of health care, health care executives, physicians, and clinical staff establish guidelines to minimize the rates of readmissions for patients. While certain medical conditions may require that patients are readmitted into health care organizations, for less urgent or extensive medical conditions, ensuring that health care service is administered effectively the first time will go a long way in minimizing readmission. From a financial standpoint, patient readmissions constrict health care services, resources, and staff that would otherwise be used to treat new patient cases. From effective health care delivery, a patient who is readmitted may be an indication of poor quality health care delivery, ineffective process workflows, or inefficient patient care.
Review the resources.Reflect on how health care executives might address the board of directors of a health care organization in order to reduce readmissions. Within the context of Medicare reimbursements, how will reducing readmissions benefit the health care organization?
- Write a brief to the board of directors explaining how you, as the chief executive of the hospital, would implement strategies to reduce readmissions within the context of Medicare reimbursement. Be specific and provide examples.
- Be sure to include support from the literature.
Dye, C. F., & Garman, A. N. (2015).
Exceptional leadership: 16 critical competencies for healthcare executives. (2nd ed.). Chicago, IL: Health Administration Press.
- Chapter 14, “Competency 14: Driving Results” (pp. 157â€“165)
- Chapter 15, “Competency 15: Stimulating Creativity” (pp. 167â€“176)
- Chapter 16, “Competency 16: Cultivating Adaptability” (pp. 177â€“186)
Sacks, L.B. (2016). Succeeding with new payment models. In The Society for Healthcare Strategy and Market Development of the American Hospital Association (Ed.),
Futurescan healthcare trends and implications: 2016â€“2021 (pp. 38â€“42). Chicago, IL: Health Administration Press.
U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016e). Readmissions reduction program (HRRP). Retrieved from https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps/readmissions-reduction-program.html