DNRS 6211 Week 5 Cost-Benefit Analysis Example

Finance and Economics in Healthcare Delivery Walden University Free custom sample in 24 to 48h

This DNRS 6211 Week 5 cost-benefit analysis example asks whether nurse follow-up calls after patients leave the same rehabilitation unit used across DNRS 6211, 18 beds and composite, pay for themselves within one year. The horizon is stated early and held constant. Costs are listed as one-time items, such as protocol writing and training, and recurring ones, chiefly nursing hours, each pointing to its source record. Benefits are valued by the avoided cost method, with the readmission effect drawn from published studies. A sensitivity section shows the conclusion surviving one adverse change and failing when two move together, and patient anxiety is left out of the total on purpose. Walden DNRS 6211, Finance and Economics in Healthcare Delivery, sets this paper for DNP students to test whether a nursing initiative earns its place in the budget, and it ends in a trial recommendation.

CourseDNRS 6211 Finance and Economics in Healthcare Delivery
WeekWeek 5
Paper typeCost-benefit analysis paper
LengthAbout 1,010 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramDoctor of Nursing Practice (DNP)
UpdatedOctober 2026

Free sample paper for DNRS 6211 Week 5

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Cost-Benefit Analysis: Nurse Follow-Up Calls After Discharge From Inpatient Rehabilitation, Over One Year

Student Name

College of Nursing, Walden University

DNRS 6211: Finance and Economics in Healthcare Delivery

Instructor Name

Month Day, Year

What this page is doingThe horizon is in the title. A cost-benefit paper that lets its time frame drift between sections can make almost any program look profitable, so the title fixes it before the arithmetic begins.
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Cost-Benefit Analysis: Nurse Follow-Up Calls After Discharge From Inpatient Rehabilitation, Over One Year

This paper asks whether a nurse follow-up call program for patients discharged home from a composite 18-bed inpatient rehabilitation unit pays for itself. The horizon is the first 12 months of the program, including its start-up costs, and it does not change anywhere in the analysis. The perspective is the hospital's: costs are what the hospital spends, and benefits are costs the hospital avoids. The program would call each patient discharged home at 48 hours and again at 7 days to review medicines, symptoms, equipment, and follow-up appointments, and would route problems to the rehabilitation physician or the patient's primary care clinician.

Cost Inventory

Costs are separated into one-time items, incurred to start the program, and recurring items, incurred every month it runs. Each amount points at the record that supplied it. Hourly costs for nurses use the unit's average registered nurse rate of $45.00 plus the 30% benefit rate from the human resources memo, or $58.50 an hour.

One-time costs. Writing the call protocol and script: 40 nurse hours, $2,340. Training 18 registered nurses for 2 hours each: 36 hours, $2,106. Building a call template in the electronic record: 12 hours of information technology analyst time at $70 an hour from the department's internal billing rate, $840. One-time total: $5,286.

Recurring costs. The unit discharged 447 patients last year, and 80% went home, according to its discharge disposition report, giving 358 patients. Two calls each at an average of 25 minutes, including documentation and failed attempts, from the pilot month's time log, is 298 hours, or $17,452. Manager review of flagged calls, 2 hours a month at $74 an hour, is $1,776. Recurring total: $19,228.

Total first-year cost: $24,514.

What this page is doingOne-time and recurring costs are kept apart, and every figure names its source record. That lets a reader see that year 2 would cost less than year 1, which matters for the decision.
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Benefit Inventory

Each benefit is paired with the method used to value it. The analysis uses the avoided cost method, in which a benefit is valued at the cost to the hospital of the event the program prevents, which is standard for cost-benefit work from a provider perspective (Drummond et al., 2015).

Avoided readmissions. The unit's quality report shows an 11% 30-day readmission rate for patients discharged home, or about 39 readmissions a year. A retrospective study of a commercial health plan found that members who received a follow-up call within 14 days of discharge had 23.1% lower odds of a 30-day readmission (Harrison et al., 2011). Because that study was observational and in a different population, this analysis assumes a smaller effect, a 15% reduction, or about 5.9 readmissions avoided. The hospital bears the cost of a readmission only for patients in its bundled payment and accountable care contracts, 60% of the unit's discharges according to the finance office's payer report. For the rest, paid fee-for-service, a readmission brings revenue, so avoiding it is not counted as a benefit. At an average cost of $14,000 per readmission from the hospital's cost accounting system, the benefit is $49,619.

Avoided emergency visits without admission. The same report shows an 8% rate of emergency visits within 30 days. With the same 15% reduction and 60% share, and an average cost of $1,100 per visit from the cost accounting system, the benefit is $2,835.

Total monetized benefit: $52,454. Net benefit: $27,940. Benefit-cost ratio: 2.14.

Sensitivity

Two assumptions drive the result more than any others: the size of the effect on readmissions and the share of patients whose readmissions the hospital pays for.

If the effect is half as large, 7.5%, the benefit falls to $26,227 and the program still covers its cost, with a net benefit of $1,713. The break-even effect is a reduction of about 7%.

If the share of patients in risk-bearing contracts is 40% rather than 60%, the benefit falls to $34,969 and the net benefit to $10,455.

If both move against the program at once, a 7.5% effect and a 40% share, the benefit is $17,485, and the program loses $7,030 in its first year. The conclusion therefore holds under either assumption alone but fails if both are pessimistic. Because the share of risk-bearing contracts is expected to rise, the analysis leans toward adopting the program, while measuring the readmission effect from the start so that the most uncertain assumption is replaced by the unit's own data within 6 months (Reiter & Song, 2021).

What this page is doingThe section names the two assumptions that matter most and shows the conclusion surviving one and failing when both move. Showing where the result breaks is more persuasive than a single favorable number.
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Benefits Left Out on Purpose

Several benefits are real but are not converted into money. Patients and families often feel anxious in the first days at home, and a call from a nurse they know may reduce that anxiety. Medication discrepancies found on the call may prevent harm that never leads to a hospital visit. Caregivers may feel more confident. Each of these could be given a dollar value using methods such as willingness to pay, but the values would rest on assumptions far weaker than those behind the readmission figure. Adding them would raise the total and lower its credibility, because a reader who doubts one soft number tends to doubt the whole analysis. They are reported here as reasons to adopt the program beyond the financial case, not as part of it.

What this page is doingDeclining to monetize anxiety and confidence, and saying why, is a deliberate choice. It keeps the financial case to benefits a finance reviewer would accept.
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Recommendation

The program should be adopted for one year as a measured trial. Its first-year cost of $24,514 is small beside the unit's $2.3 million operating budget, most of it is nursing time that can be scheduled into lower-census days, and the analysis shows a net benefit unless both key assumptions turn out pessimistic at the same time. Three measures will be tracked monthly from the first call: the 30-day readmission rate for patients discharged home, split by whether they were reached; the rate of emergency visits within 30 days; and the share of discharges in risk-bearing contracts. After 6 months, the unit's own readmission effect will replace the assumed 15% and the analysis will be run again. If the recalculated benefit-cost ratio falls below 1.0 and the contract share has not risen, the calls will be narrowed to the patients at highest risk, such as those discharged on anticoagulants or with new feeding tubes, rather than stopped outright.

References

Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the economic evaluation of health care programmes (4th ed.). Oxford University Press.

Harrison, P. L., Hara, P. A., Pope, J. E., Young, M. C., & Rula, E. Y. (2011). The impact of postdischarge telephonic follow-up on hospital readmissions. Population Health Management, 14(1), 27-32. https://doi.org/10.1089/pop.2009.0076

Reiter, K. L., & Song, P. H. (2021). Gapenski's healthcare finance: An introduction to accounting and financial management (7th ed.). Health Administration Press.

The Walden DNRS 6211 Week 5 instructions

This assignment asks you to evaluate a nursing initiative or program by comparing its costs and benefits in money terms over a defined period. You are expected to list costs and benefits separately, state the valuation method for each benefit, and reach a net result or ratio. Most rubrics also look for a sensitivity analysis on the assumptions that drive the answer and an explicit statement of benefits you could not or chose not to monetize. Use published evidence for effect sizes and public or organizational data for prices. Expect several pages under APA 7, ending with a recommendation, which may be adoption, rejection or a limited trial.

How this DNRS 6211 Week 5 example is built

The paper declares its horizon in the second sentence and never quietly changes it. A cost inventory follows, separating one-time items such as protocol development and training from recurring items such as the nursing hours the calls consume, with each item pointing at the record that supplied its amount. The benefit inventory is next, and every entry arrives paired with the method used to put a value on it and a citation for that method. A sensitivity section names the two assumptions the result depends on most and shows the conclusion holding or failing when each moves. One paragraph lists benefits left out of the total on purpose, including reduced anxiety at discharge, and explains why counting them would weaken rather than strengthen the case.

Where the marks sit in the DNRS 6211 Week 5 rubric

Graders read for whether the comparison is honest before they read whether it is favorable. A paper concluding that an initiative pays for itself while pricing benefits over a longer window than costs loses the analysis area outright, and the loss is usually invisible to the writer. Counting avoided cost as new revenue is the second recurring error and it costs in the same place. Double counting takes a share too, most often when a shorter stay and fewer clinic contacts are both credited for the same avoided event. The sensitivity area is where the strongest papers pull ahead, since a result that survives testing is worth more than a larger result that was never tested. Papers that fold unmeasurable benefits into the total invite a comment questioning every figure above them.

Common DNRS 6211 Week 5 mistakes, and how to avoid them

Mismatched time horizons cause more lost marks here than anything else; if benefits are counted over three years, costs must be too. Avoided costs are savings, not new revenue, so do not add them to income. Watch for double counting when two benefits rest on the same avoided readmission. Name the readmission effect's source and report a low and a high estimate instead of one hopeful number, then test the low end. Keep unmeasurable benefits such as patient confidence out of the total, mentioning them in a separate paragraph. Recurring costs in later years are often lower than in year one, and saying so strengthens a case. Finish with a recommendation sized to the evidence you actually have.

Get a DNRS 6211 Week 5 example written to your instructions

Give the desk the initiative the prompt names, the horizon it fixes and any cost data it hands out, and a finished analysis matched to those inputs comes back to you. The first custom one is free and returns inside 24 to 48 hours. Figures pulled from a facility's own accounting are pulled by you under that facility's permission and stay with you.

More DNRS 6211 papers and DNP samples

DNRS 6211 Week 5 questions, answered

Where do the benefit values in an example come from?

In this one they come from published literature and public payment material, cited at the point of use, because that is the only kind of source a grader can check. Nothing was estimated silently. If your prompt supplies its own values, they replace these entirely, and the reasoning around them is what the example is worth reading for.

Does the analysis have to reach a favorable conclusion?

It does not, and papers reaching an unfavorable conclusion honestly tend to score better than papers reaching a favorable one by stretching. This example ends with a result that holds under one sensitivity test and fails under the other, then names the conditions a system would need before proceeding regardless.

How is a cost-benefit analysis different from a cost-effectiveness one?

A cost-benefit analysis puts a money value on both sides so the comparison produces a net figure. A cost-effectiveness analysis leaves the benefit in clinical units and reports cost per unit of that outcome. Prompts in this course use both, and reading which one is being asked for is the first thing to settle, since the structures diverge immediately.

Where can I find a free DNRS 6211 Week 5 sample paper?

The nurse follow-up call analysis is on this page from the cost inventory to the trial recommendation, and the margin notes explain the sensitivity choices.

Does a DNRS 6211 cost-benefit analysis need a sensitivity analysis?

Most rubrics expect one. The example tests the readmission effect and the share of readmissions the hospital pays for, and shows where the conclusion stops holding.