Case Study
Paper details
Week 6 – Assignment Instructions Directions: Complete the case study below by answering each question in Part A and B. Utilize a minimum of two scholarly resources to support responses to Part A of the case study. For Part B use the NUR410_Personnel_Budget_Case_Study_Worksheet.xlsx provided in Canvas to make calculations based on the instructions and compile your responses into one document for parts A and B. The assignment does not require a formal written paper; however, an APA style title page with running head and reference page are required. Answers may be recorded as Part A 1.), 2.), and 3.). Part B 1.), 2.), etc. Scenario: Mary Jane Smith has recently accepted a position as nurse manager on 1 West, a medical surgical nursing unit at Mercy Hospital Center. Part A: Identify the nursing-sensitive indicators Mary Jane should consider in making staffing decisions. Discuss how nursing-sensitive indicator data can be utilized to enhance the safety and quality of patient care. Discuss the relationship between nurse staffing and two of the following: urinary tract infections, pneumonia, upper gastrointestinal bleeding, shock, or length of stay. Part B: Mary Jane has been asked by the Chief Nursing Officer to prepare a personnel budget for the coming fiscal year. Mary Jane has collected the following information, in addition to what she has determined, based on nursing-sensitive indicator data discussed in Part A. Patient Data Average Daily Census 28 Unit Capacity 30 Average HPPD 8.8 Total Care Hours 96,360 Staff Data Total Hours/employee/year 2,080 Average Salary per Employee Category RN $36.00/hour LPN $22.00/hour Nurse’s Aide $12.00/hour Calculate the number of full-time equivalents (FTEs) that would be needed. Show your calculations. Explain HPPD. How would the acuity of the unit affect HPPD? Explain how diagnosis related groups (DRG’s) and Case Mix Index (CMI) affects hours per patient day. Review the staffing plan for last year. What outcomes would you use to evaluate this staffing plan? Based on this data, would you recommend any changes for the upcoming year? The attached file is just to give numbers to answer the questions.