NURS 834 Week 2 Staffing and Budget Exercise on Efficiency and Patient Safety Example

Reviewed by Rachel Stanton, MSN, RN · Liberty University · Updated

This NURS 834 Week 2 sample is a complete staffing and budget exercise for 4 North, a composite medical-surgical unit of 32 beds averaging 28 patients a day, written by a DNP student who works as a nurse practitioner in the same community hospital. It calculates required nursing hours and full-time equivalents from a target of 8.0 hours per patient day, builds a $3.9 million personnel budget, explains last year's $412,000 overtime and agency variance, and proposes changes that improve efficiency and safety together, including an internal float pool and an NP-led glycemic team. Evidence from Illinois, Pennsylvania and Japanese staffing studies links workload to mortality and length of stay. For Liberty University NURS 834 students in the DNP, the exercise is a 100-point Module/Week 2 paper of six to eight pages drawing on four to eight references.

CourseNURS 834 Health Care Operations and Financial Management (NURS834)
Module/Week2
AssignmentStaffing and Budget Exercise on Efficiency and Patient Safety
Paper typeStaffing and budget exercise paper (6 to 8 pages, 4 to 8 references besides the textbooks and the Bible)
Lengthabout 1,569 words, 6 double-spaced pages plus title page and references. Course guide: a 6 to 8 page paper in current APA format focused on improving efficiency and patient safety, answering the three questions in the Assignment Instructions folder, with at least 4 to 8 references in addition to the course textbooks and the Bible
FormatAPA 7 student paper
Points100
SchoolLiberty University Online
ProgramDNP
Where it sitsModule/Week 2 in Liberty's published NURS 834 course guide; current sections can differ
UpdatedOctober 2026

Free sample paper for NURS 834 Week 2

1

Forty-Five FTEs, $3.9 Million and a Night Shift That Runs on Agency Nurses: A Staffing and Budget Exercise for a 32-Bed Medical-Surgical Unit

 

[Student Name]

School of Nursing, Liberty University

NURS 834: Health Care Operations and Financial Management

Staffing and Budget Exercise

[Instructor Name]

[Date]

 

The unit, its census and its budget figures are composites built for a model exercise; the calculations are worked from those figures, and the textbook, studies and Scripture cited are real.

Why this part earns its pointsThe paper opens with the unit's numbers, because every later calculation depends on the census and the staffing target.
2

Forty-Five FTEs, $3.9 Million and a Night Shift That Runs on Agency Nurses: A Staffing and Budget Exercise for a 32-Bed Medical-Surgical Unit

Introduction

Our hospital's 32-bed medical-surgical unit, which I will call 4 North, ran an average daily census of 28 patients last fiscal year, an occupancy of 87.5%. Its personnel costs ended the year $412,000 over budget, nearly all of it in overtime and agency nurses on night shift, while the unit's fall rate and severe hypoglycemia rate both rose. Our chief nursing officer wants to know whether the unit is understaffed, overstaffed or simply staffed inefficiently. This paper answers the three questions of the assignment by calculating the unit's staffing need, building and analyzing its personnel budget and proposing changes that improve efficiency and patient safety together.

Question 1: Determining Staffing

The Calculation

Staffing begins with demand. Waxman (2018) describes hours per patient day as the standard productivity measure for inpatient units: the total nursing hours worked divided by the number of patient days. The hospital has set 4 North's target at 8.0 combined hours of RN and assistant time for each patient day.

StepCalculationResult
Average daily censusfrom last year's data28
Annual patient days28 x 36510,220
Productive hours needed10,220 x 8.081,760
Productive FTEs81,760 / 2,08039.3
Nonproductive allowance (vacation, sick, education)12% of total paid hours5.4 FTEs
Total budgeted FTEs39.3 / 0.8844.7
Skill mix70% RN, 30% nursing assistant31.3 RN, 13.4 NA FTEs

The productive FTEs are the people actually working; the nonproductive allowance covers paid time away, which must be budgeted or it reappears as overtime. On a typical day, 224 productive hours equal about nineteen twelve-hour shifts, or roughly six or seven RNs and three nursing assistants on each of the day and night shifts, with the charge nurse included in the count.

Acuity and Skill Mix

A single hours-per-patient-day target assumes that patients are similar from day to day, which they are not. 4 North receives many older adults with heart failure, pneumonia and diabetes, and a growing number of patients awaiting placement in skilled nursing facilities, whose needs are lower. An acuity system that scores each patient's care needs at the start of every shift would allow the charge nurse to adjust assignments within the same total hours, giving the nurse with a new insulin drip and a confused patient fewer patients than the nurse caring for stable patients awaiting discharge. The 70 to 30 split between registered nurses and nursing assistants reflects the unit's need for assessment, medication administration and patient teaching; shifting more hours to assistants would lower the budget but remove the clinical judgment that prevents falls and hypoglycemia from becoming emergencies.

Is the Unit Understaffed?

Last year 4 North employed 41.2 FTEs, 3.5 fewer than the calculation requires, and filled the gap with overtime and agency nurses. The positions were budgeted but vacant: the unit lost seven nurses during the year, five from night shift. The problem is therefore not the staffing target but the inability to fill it, which raises cost and, as the evidence below shows, risk.

Why this part earns its pointsLaying out the FTE calculation as a table lets the reader check every step, which is what the rubric means by correct calculations with stated assumptions.
3

Question 2: Building and Managing the Personnel Budget

The Budget

CategoryAssumptionAnnual cost
RN salaries31.3 FTEs x 2,080 hours x $41.00$2,669,264
Nursing assistant salaries13.4 FTEs x 2,080 hours x $19.50$543,504
Shift differentials and premiums4% of salaries$128,511
Benefits28% of salaries$899,575
Total personnel budget$4,240,854
Less vacancy savings assumption8%$3,901,586

The budget follows the steps Waxman (2018) lays out for an operating budget: estimate volume, convert volume to staff, apply wage and benefit rates and then adjust for expected vacancies. The vacancy assumption reflects the hospital's recent history; budgeting as if every position will be filled overstates cost, while budgeting too much vacancy savings guarantees overtime.

Assumptions and Sensitivity

Each assumption moves the total. If census rises from 28 to 30, the unit needs about 3.2 more FTEs and roughly $300,000 more. A 3% wage increase adds about $100,000 in salaries and benefits. Reducing the vacancy assumption from 8% to 4%, which the recommendations below aim to make realistic, raises the budgeted cost by about $170,000 but should reduce overtime and agency spending by more. Presenting these sensitivities to the finance committee shows that the budget is a set of choices rather than a fixed number, and it lets leaders see which assumption carries the most risk. For 4 North, the vacancy assumption is the one that has proven least reliable.

The Variance

Last year's actual personnel cost was $4,313,586 against a budget of $3,901,586, an unfavorable variance of $412,000. Separating its causes is more useful than its size. Volume explained little: census was within 1% of budget. Wage rates explained some, because a mid-year market adjustment raised RN pay by 3%. The pattern by month made the cause clearer: overtime and agency hours spiked in the three months after each night-shift resignation and fell when a replacement finished orientation. Most of the variance was efficiency: 6,900 overtime hours at time and a half and 4,100 agency hours at roughly double the employed rate. Every vacant night position was effectively being filled at 1.5 to 2 times its budgeted cost. The unit was not over budget because it had too many nurses; it was over budget because it had too few of its own.

Question 3: Improving Efficiency and Patient Safety

What the Evidence Says About Staffing and Outcomes

Efficiency in nursing cannot be measured by labor cost alone, because workload affects outcomes that carry their own costs. Across 87 Illinois hospitals, a heavier medical-surgical workload of one more patient per nurse raised each patient's odds of dying within 30 days by about a sixth and of staying longer by a twentieth, and staffing at four patients per nurse was projected to save more than $117 million through shorter stays (Lasater et al., 2021). Pennsylvania data from 132 hospitals told the same story: heavier workloads went with greater odds of death, readmission and longer stays and with nurse burnout and intent to leave, and the authors projected that savings from better outcomes and retention would offset the cost of additional nurses (Muir et al., 2026). A Japanese study of 82 wards added that understaffing relative to a ward's own usual level, even for a single day or day shift, was associated with higher mortality and longer stays (Morioka et al., 2026). For 4 North, the implication is that vacancies filled late or not at all are not savings; they are deferred costs.

Recommendation 1: An Internal Float Pool

Replacing agency hours with an internal float pool of six RN FTEs, shared across three medical-surgical units, would cost about $675,000 a year in salary, differentials and benefits but eliminate roughly $520,000 in agency and premium overtime across the units and provide nurses familiar with the hospital's systems. The net cost of about $155,000 is offset by retention, since the Pennsylvania data link heavy workload to intent to leave (Muir et al., 2026), and every nurse retained avoids recruitment and orientation costs.

Recommendation 2: Self-Scheduling and a Night Retention Premium

Five of seven departures were from nights. A self-scheduling system and a modest night retention premium of $3 per hour for nurses who commit to six months of nights would cost about $95,000 a year across the unit's roughly 32,000 night RN hours and is intended to reduce turnover and overtime together.

Recommendation 3: An NP-Led Glycemic Team

Severe hypoglycemia rose on 4 North and across the hospital. Inpatient diabetes management teams are associated with shorter stays, fewer readmissions and less hypoglycemia, with resulting cost savings (Haque et al., 2021). A nurse practitioner-led glycemic team would reduce a high-risk source of rapid response calls and extended stays and would relieve bedside nurses of time spent managing unstable glucose. This recommendation becomes the practice initiative developed in the coming weeks.

Why this part earns its pointsEach recommendation states its cost and its expected effect on safety, which is what makes it an efficiency proposal rather than a cost cut.
4

Implementation and Stakeholders

None of these changes can be made by the unit alone. The float pool requires agreement among three nurse managers and the staffing office about how nurses are assigned and how their costs are allocated. The night premium requires human resources and finance approval and should be piloted on 4 North before it spreads. The glycemic team requires medical staff support, because nurse practitioners will be managing insulin orders on patients admitted by hospitalists. I plan to present the staffing and budget analysis first to the 4 North manager and staff, whose experience of short nights gives the numbers their meaning, and then to the chief nursing officer and the finance director with the sensitivity analysis attached. Including the bedside nurses early also addresses a common fear that efficiency means fewer staff; the proposal is explicitly about replacing expensive temporary labor with the unit's own nurses.

Measuring the Result

The unit will track hours per patient day, overtime and agency hours, vacancy and turnover rates, falls, severe hypoglycemia and length of stay monthly. Success means personnel cost within 2% of budget with agency hours below 1,000 a year, no increase in hours per patient day and stable or improved safety measures. Results will be reported to the unit's staff each month on the same board that displays falls and hypoglycemia, so that nurses see the link between staffing and outcomes that this paper argues for.

A Christian Perspective on Counting the Cost

Jesus asked who would build a tower without first sitting down to count the cost (English Standard Version Bible, 2001/2016, Luke 14:28). Budgeting is that kind of counting, and for a Christian nurse leader it is an act of stewardship over resources entrusted by the community the hospital serves. Stewardship also includes the nurses themselves: a budget that balances by overworking them is not faithful use of what has been entrusted. Counting the full cost, including the cost of harm and turnover, is how a leader honors both. It also requires honesty in the numbers themselves. A budget that hides a known vacancy problem behind optimistic assumptions may pass a committee meeting, but it misleads the people who rely on it and sets the unit's nurses up for another year of short nights.

Conclusion

4 North needs about 44.7 budgeted FTEs to meet its 8.0 hours per patient day target and has been operating with 3.5 fewer, paying for the gap through overtime and agency nurses that produced a $412,000 variance. Evidence links nurse workload to mortality, length of stay and turnover, so filling those positions with the unit's own nurses is both safer and, over time, cheaper. An internal float pool, night retention measures and an NP-led glycemic team address the variance and the safety problems together.

5

References

English Standard Version Bible. (2016). Crossway. (Original work published 2001)

Haque, W. Z., Demidowich, A. P., Sidhaye, A., Golden, S. H., & Zilbermint, M. (2021). The financial impact of an inpatient diabetes management service. Current Diabetes Reports, 21(2), Article 5. https://doi.org/10.1007/s11892-020-01374-0

Lasater, K. B., Aiken, L. H., Sloane, D., French, R., Martin, B., Alexander, M., & McHugh, M. D. (2021). Patient outcomes and cost savings associated with hospital safe nurse staffing legislation: An observational study. BMJ Open, 11(12), Article e052899. https://doi.org/10.1136/bmjopen-2021-052899

Morioka, N., Moriwaki, M., Miyawaki, A., Saville, C., Fushimi, K., & Griffiths, P. (2026). Hospital nurse understaffing and patient mortality, readmission, and length of stay. JAMA Network Open, 9(2), Article e2558235. https://doi.org/10.1001/jamanetworkopen.2025.58235

Muir, K. J., Aiken, L. H., Brom, H., Hovsepian, V., Lasater, K. B., & McHugh, M. D. (2026). Safe minimum nurse staffing requirements for hospitals: Evidence from Pennsylvania. Medical Care, 64(7), 447-455. https://doi.org/10.1097/MLR.0000000000002332

Waxman, K. T. (2018). Financial and business management for the doctor of nursing practice (2nd ed.). Springer Publishing.

What the NURS 834 Week 2 instructions ask

NURS 834 sets the Staffing and Budget Exercise in Module/Week 2, after Waxman's chapters on budgeting and on staffing and productivity. Liberty's guide calls for six to eight APA pages centered on improving efficiency and patient safety and responds to three questions supplied in the course's Assignment Instructions folder, with four to eight references beyond Waxman and Scripture. This sample organizes its answers under the three themes those questions address: how to determine staffing, how to build and manage a personnel budget, and how to improve efficiency without harming safety. Every number in the paper should be traceable to an assumption the reader can check, and every recommendation should state its expected cost.

How this NURS 834 Week 2 example is built

The paper introduces a 32-bed medical-surgical unit and its census, then works through a staffing calculation step by step: hours per patient day, total annual hours, productive and nonproductive hours, full-time equivalents and skill mix, shown in a table. A second section builds the personnel budget from those FTEs with wage and benefit assumptions and analyzes last year's variance, which came mostly from overtime and agency nurses on nights. The third section links staffing to outcomes using recent research and proposes three changes, an internal float pool, self-scheduling with a night premium and an NP-led glycemic team, each with its expected effect on cost and safety, followed by implementation steps, outcome measures and a short biblical reflection.

NURS 834 Week 2 grading rubric: where the points go

Staffing and budget papers are usually graded on correct calculations with stated assumptions, a clear and complete answer to each question, the use of Waxman's financial concepts, evidence linking staffing decisions to safety and outcomes, whether faith shapes the reasoning, and clean APA across six to eight pages. Instructors look for calculations a reader can follow line by line, a variance analysis that explains causes rather than only amounts, and recommendations that state both their cost and their expected savings or safety benefit. Tables help when they make the arithmetic visible, and a short sensitivity analysis shows the writer understands which assumptions carry the most risk.

NURS 834 Week 2 help: mistakes that cost points

Students often present staffing numbers without showing how they were derived, or treat efficiency as cutting staff. Show each step: census, hours per patient day, annual hours, the split between productive and nonproductive time and the conversion to FTEs. Use realistic wage and benefit assumptions and state them. When you analyze a variance, separate volume, rate and efficiency causes. For recommendations, pair every efficiency gain with its effect on safety, because a cheaper unit that harms patients is not more efficient once the cost of harm is counted. Finally, name who must approve each change; a recommendation without an owner reads as a wish.

Related NURS 834 sample papers

Other NURS 834 weeks

More DNP sample papers

NURS 834 Week 2 questions, answered

What is the NURS 834 Staffing and Budget Exercise?

A six-to-eight page Module/Week 2 paper worth 100 points that answers three questions on staffing, budgeting and improving efficiency and patient safety, with four to eight references.

Where can I find a free NURS 834 Week 2 sample paper?

This page shows the complete NURS 834 Week 2 staffing and budget exercise for a 32-bed medical-surgical unit, with its FTE and budget tables and references, free to read.

How do you calculate nursing FTEs from hours per patient day?

Multiply average daily census by hours per patient day and by 365 for annual productive hours, divide by 2,080 hours per FTE, then add nonproductive time such as vacation and education.

What is a budget variance?

The difference between budgeted and actual amounts; in personnel budgets it is usually explained by volume, wage rate or efficiency, such as overtime or agency use.

Does nurse staffing affect patient safety?

Yes; studies in Illinois and Pennsylvania found that every added patient per nurse raised the odds of 30-day mortality and longer stays, with savings projected from safer staffing.

Use it as a model, or ask for your own

This paper is an original model written by our desk for study. It is not a submitted student paper and not an official Liberty University document. Read it for structure and reasoning, then write your own to the instructions in your Canvas course. If you want a version built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.