Vacancy, skill mix, overtime and experience, each split by shift on one surgical ICU, show nights carrying most of every shortfall in this NU514 Unit 2 analysis. Searches like "nu 514 unit 2 assignment example", "nu514 unit 2 sample" and "nu514 unit 2 example" land here.
Two Staffs on One Unit: A Workforce Analysis of Vacancy, Premium Labor and Experience by Shift in a Composite Surgical ICU
[Student Name]
Purdue University Global
NU514: Human Resources Management
Unit 2 Assignment
[Instructor Name]
[Date]
All unit figures are composite and bracketed where they are the student's own; published research is cited for context.
Table 1: From Standard to Positions
1. Staffing standard: a 1:2 nurse-to-patient ratio at the budgeted average census of 20 in 22 beds, ten assignment nurses and one charge nurse without a patient assignment on each twelve-hour shift, eleven registered nurses around the clock.
2. Hours: 11 nurses times 24 hours times 365 days equals 96,360 registered nurse hours a year.
3. Productive hours per FTE: [1,872], after paid time off and education from 2,080 paid hours.
4. Budgeted FTEs: 96,360 divided by 1,872 equals 51.5.
5. Filled FTEs: 43.1.
6. Vacant FTEs: 8.4, a vacancy rate of 16.3 percent.
7. Vacancy by shift: 6.1 FTEs on nights, 73 percent of the gap; 2.3 on days.
The standard is stated as a ratio and converted with every multiplier shown, because a vacancy rate means nothing until the budget behind it is visible.
Table 2: How the Gap Was Covered Last Fiscal Year
1. Overtime: [8,420] hours, 8.9 percent of worked hours; 64 percent of overtime hours were on nights.
2. Agency: [5,760] hours, 6.1 percent of worked hours; 81 percent on nights.
3. Uncovered: [1,497] hours, about 125 twelve-hour shifts on which the charge nurse took a patient assignment, 88 percent of them on nights.
The uncovered hours get their own line because they are the gap that did not show up as spending. On about one night in three, the unit ran with a charge nurse carrying patients, which means no one was free to respond to a deteriorating patient, support a new nurse or take an admission without delay.
Table 3: Experience and Skill Mix by Shift
1. Median unit tenure: days [8.2] years; nights [2.1] years.
2. Nurses with less than two years of registered nurse experience: days [12] percent; nights [44] percent.
3. Critical care certification: days [48] percent; nights [19] percent.
4. Nurses who have precepted in the past year: days [70] percent; nights [35] percent, carrying [60] percent of all orientee shifts.
Table 4: Turnover by Shift, Last Two Years
1. Voluntary registered nurse turnover, unit: [21.8] percent annualized.
2. Days: [11] percent. Nights: [34] percent.
3. First-year turnover among new graduates: [43] percent; five of six who left had been placed on nights.
How the Unit Compares
Set against the hospital's other intensive care units, the surgical ICU's day shift looks ordinary and its night shift does not. The medical ICU reports a vacancy rate of [9] percent with no strong day and night split, and the cardiovascular ICU [11] percent. Both run the same twelve-hour rotation. What differs is that the surgical ICU's day positions are held by a group of long-tenured nurses who rarely leave, so the day list, the waiting list for day positions, has moved only [four] times in three years. In the other units, day positions turn over often enough that a night nurse can expect to move within about two years. The surgical ICU's night nurses wait more than twice as long.
What the Budget Assumes
The budget assumes that 51.5 FTEs will be filled and that paid time off and education will be covered within them. It does not budget for orientation, which on this unit runs twelve weeks for experienced nurses and much longer for new graduates, and it does not budget for premium labor. When the unit carries 8.4 vacancies and hires a new graduate into one, the budget treats the position as filled from her first day, even though she will not carry a full assignment for months. The analysis therefore understates the real gap in the first quarter after each new graduate hire.
What the Tables Show Together
Nights hold 73 percent of the vacancy, 64 percent of the overtime and 81 percent of the agency hours, and they are staffed by the least experienced nurses on the unit. The unit is not one staff with a shortage; it is a settled day staff and a night staff that is short, new and turning over, with the shortage concentrated exactly where experience is thinnest.
The pattern is self-reinforcing. Experienced nurses move to days as positions open, new graduates are hired into the vacated night positions, the few experienced night nurses precept most of them, and fatigue and precepting load push some of those experienced nurses to seek days in turn. The day list moves slowly because day nurses rarely leave.
Why It Matters for Patients
The concentration matters beyond budgets. When observational studies of staffing were pooled, units and hospitals with more registered nurse hours per patient tended to have lower mortality and fewer adverse events, intensive care included (Kane et al., 2007). In intensive care units, a larger share of certified nurses was associated with fewer falls in one study, and more years of nurse experience with fewer urinary tract infections, although the sample was small (Kendall-Gallagher & Blegen, 2009). Both bodies of evidence are observational and cannot show that the night shift's profile causes harm. They do suggest that the hours when the unit is thinnest and least experienced deserve attention first, and that a nurse turnover rate should be read by shift, not only for the unit (Hayes et al., 2012).
Limits
Tenure and certification figures come from the unit's roster and may lag. Overtime by shift was estimated from pay codes, which do not always distinguish shift. The turnover rates rest on small numbers, especially for new graduates, where a single departure moves the rate by several points. And the analysis describes where the gap is, not why nurses leave nights, which the retention study later in the term examines.
Implications for Later Units
Three questions follow. What does each night departure cost, and does replacing experience with a new graduate cost more or less? Why do nurses leave, and is it the shift itself? And what would a transition program look like that did not place new graduates on nights before they are ready? The next units take them in order. A fourth question sits underneath all three: whether the unit should keep treating the day list as a reward for seniority, or begin to treat access to day shifts as a retention tool that can be designed, for example by guaranteeing a share of day shifts after a set period on nights.
References
Hayes, L. J., O'Brien-Pallas, L., Duffield, C., Shamian, J., Buchan, J., Hughes, F., Laschinger, H. K. S., & North, N. (2012). Nurse turnover: A literature review, an update. International Journal of Nursing Studies, 49(7), 887-905. https://doi.org/10.1016/j.ijnurstu.2011.10.001
Kane, R. L., Shamliyan, T. A., Mueller, C., Duval, S., & Wilt, T. J. (2007). The association of registered nurse staffing levels and patient outcomes: Systematic review and meta-analysis. Medical Care, 45(12), 1195-1204. https://doi.org/10.1097/MLR.0b013e3181468ca3
Kendall-Gallagher, D., & Blegen, M. A. (2009). Competence and certification of registered nurses and safety of patients in intensive care units. American Journal of Critical Care, 18(2), 106-113. https://doi.org/10.4037/ajcc2009487
How this NU514 Unit 2 example is structured
Standard, shortfall, then the people covering it: the analysis runs in that order so each figure rests on the one before. The staffing standard comes first, stated as a ratio and converted to hours with every multiplier shown, because a vacancy rate means nothing until the budget behind it is visible. The coverage table then answers where the missing hours came from, and the uncovered hours get their own line. Each measure is split by shift, and that split carries the finding: nights hold 73 percent of the vacancy, 64 percent of overtime and 81 percent of agency hours, staffed by the least experienced nurses. A short section places the 1:2 ratio against law, noting that California has required it in intensive care since 2004 while the composite hospital's state sets no ratio. Premium labor, $1,283,394 last year, closes the analysis.
Get an NU514 Unit 2 example written to your instructions
Budgeted and filled positions, overtime hours, agency use and a rough experience split, even approximate, let the analysis measure something real. Send them along with the Unit 2 instructions and rubric; the first worked analysis is free and arrives within 24-48h, split by shift. Reading what those numbers say about your unit is still your job. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
NU514 Unit 2 questions, answered
Where do productive hours per FTE come from?
From the budget or payroll office, which usually subtracts vacation, sick time and education from 2,080 paid hours. The sample uses 90 percent, or 1,872 productive hours, and states that assumption on the first line. Some hospitals use a different allowance, and ICUs with heavy education requirements may run lower. Whatever figure the analysis uses, stating it lets a grader follow the arithmetic.
Should nurses on orientation count as filled positions?
Count them as filled but note them separately, since an orientee fills a budget line without yet covering an assignment. The sample's figure of 43.1 filled FTEs includes two orientees and says so beneath the table. Treating them as fully productive would understate the real gap, which is exactly the kind of detail graders check in a workforce analysis.
Does a state staffing law have to be discussed?
Where one applies, yes, with its date and scope. The sample notes that California has mandated 1:2 in intensive care units since 2004 and that the composite hospital's own state has no ratio statute. Federal hospital rules require adequate numbers of nurses without setting ratios. If a law or a union contract governs staffing where the case is set, the analysis should show how the unit compares.