LOS as a function of the number of medications upon admission:…
Question LOS as a function of the number of medications upon admission:… LOS as a function of the number of medications upon admission:Intercept = 5.2Slope = 0.15LOS as a function of the duration of intravenous diuretics:Intercept = 5.1Slope = 0.25LOS as a function of the number of comorbid conditions:Intercept = 5.0Slope = 0.4LOS as a function of gender (when the patient is a male):Intercept = 5.85Slope = 0.05Demonstrate or explain an informal cheat sheet for Sara indicating the predicted LOS for each of the following:What would LOS be for a patient admitted taking 0 prescription drugs? A patient taking 3 prescription drugs? A patient taking 6 prescription drugs?What would LOS be for a patient receiving intravenous diuretics for 0 days? A patient receiving intravenous diuretics for 2 days? A patient receiving intravenous diuretics for 4 days?What would LOS be for a patient who has 0 comorbid conditions? A patient who has 3 comorbid conditions? A patient who has 6 comorbid conditions?What would the LOS be for a patient who is male? A patient who is female? Use a “dummy variable” to isolate the impact of gender on LOS. To demonstrate or explain, assign males the value of 1 and females the value of 0 when conducting your analysis.ReferencesGallo, A. (2015). A refresher on regression analysis. Harvard Business Review. Retrieved from https://hbr.org/2015/11/a-refresher-on-regression-analysisMorton, V., & Torgerson, D. J. (2003). Effect of regression to the mean on decision making in health care. BMJ, 326, 1083-1084. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1125994/pdf/3261083.pdfSkrepnek, G. H. (2005). Regression methods in the empiric analysis of health care data. Journal of Managed Care Pharmacy, 11(3), 240-251. Retrieved from:https://www.jmcp.org/doi/pdf/10.18553/jmcp.2005.11.3.240 Health Science Science Nursing MHA HLTH 6040 Share QuestionEmailCopy link Comments (0)
