HLTH 6840 Week 10 Policy Budget Impact Paper Example

Health Policy and Management Walden University Free custom sample in 24 to 48h

This HLTH 6840 Week 10 budget impact example follows the money behind the composite state's phased staffing standard: who pays, in which year and out of which line. Walden HLTH 6840 expects graduate health administration program students to describe every quantity by type and attribute it rather than conjure it, and this paper opens with an assumption register of ten items, from census and staffing factors to agency premiums and offset shares, then shows the staffing calculation step by step, about 1,004 added nurse FTEs in phase one and 3,344 in phase two. A five-year table separates hospital and state costs from offsets, a section explains which budget lines carry each cost, citing Aiken and colleagues on turnover, and a sensitivity pass on offsets, agency share and variation draws on McHugh and colleagues and Lasater and colleagues.

CourseHLTH 6840 Health Policy and Management
WeekWeek 10
Paper typeBudget impact paper
LengthAbout 1,000 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
Programgraduate health administration program
UpdatedOctober 2026

Free sample paper for HLTH 6840 Week 10

1

Budget Impact of the Phased Medical-Surgical Ratio: Who Pays, in Which Year and Out of Which Line, With Every Assumption Stated

Student Name

Walden University

HLTH 6840: Health Policy and Management

Instructor Name

Month Day, Year

What this page is doingThe title follows the money in the order the assignment asks: who pays, when and from which line, with assumptions visible.
2

Budget Impact of the Phased Medical-Surgical Ratio: Who Pays, in Which Year and Out of Which Line, With Every Assumption Stated

Scope and Method

This document estimates, for the committee's budget discussion, the impact of Option B, the phased medical-surgical ratio, in the composite state over five years from enactment. It separates costs by who pays, hospitals or the state, and shows offsets on their own line so readers can see how much the net figure depends on them. Every quantity is built from an assumption in the register below, described by type and attributed to the kind of source a real analysis would use; because the state is a composite for this course, the values are illustrative. A sensitivity pass then shows how the result changes when the most uncertain assumptions change.

What this page is doingThe opening defines the horizon and the method, and states that every quantity rests on a named assumption.
3

Assumption Register

Table 1 lists the assumptions.

Table 1

Assumption Register (Illustrative Values, Composite State)

AssumptionValueTypeSource a real analysis would use
Statewide average medical-surgical census9,000 patientsCountState hospital discharge and census data
Current average patients per RN, day shift5.6RatioState nurse workforce survey
Full-time equivalents needed per 24-hour position5.2Staffing factorHospital scheduling practice
Annual cost per RN FTE, wages and benefits$120,000Unit costState labor statistics plus benefit rate
Agency premium over employed RN cost80%Unit costHospital agency contracts
Share of added FTEs filled by agency, first and second year of each phase30%, then 15%ShareRecruitment projections
Offsets as share of added staffing cost, base case50%SharePublished ratio evaluations, discounted
State enforcement staff4 FTE at $110,000Count and unit costHealth department estimate
Hospital recruitment and onboarding$5 million a year; $10 million in phase 2 start yearLump sumHospital association estimate
Reporting time$1 million a year statewideLump sumNurse manager time estimate
What this page is doingThe register lists each assumption, its value, its type and its source, which is the backbone of the document.
4

How the Staffing Need Is Calculated

With 5.6 patients for each nurse, a census of 9,000 requires about 1,607 nurses on duty at a time. At five patients per nurse, it requires 1,800, an increase of 193 positions; at four, 2,250, an increase of 643. Each position staffed around the clock needs about 5.2 full-time equivalents, so phase 1 requires about 1,004 added FTEs and phase 2 about 3,344 in total. At $120,000 each, that is about $120.5 million a year in phase 1 and $401.3 million a year in phase 2. Because the calculation uses a statewide average, it understates the need in hospitals above the average and overstates it slightly where hospitals already staff below the ratio, since those hospitals would not reduce staff; the net effect is likely an underestimate, which the sensitivity pass addresses.

What this page is doingThe calculation is shown step by step, so a reader can disagree with an input rather than the result.
5

Costs and Offsets by Year

Table 2 sets out the five-year budget impact. Phase 1 takes effect at the start of year 2 and phase 2 at the start of year 4.

Table 2

Five-Year Budget Impact, Base Case (Millions of Dollars, Illustrative)

LinePayerY1Y2Y3Y4Y5
Added RN staffingHospitals0120.5120.5401.3401.3
Agency premiumHospitals028.914.567.433.7
Recruitment and onboardingHospitals5.05.05.010.05.0
ReportingHospitals01.01.01.01.0
EnforcementState0.40.40.40.40.4
Offsets, 50% of added staffingHospitals and payers0-60.2-60.2-200.6-200.6
Net impact5.495.681.2279.5240.8
What this page is doingThe year-by-year table shows who pays in which year, which is the document's main output.
6

Who Pays, and Out of Which Line

Almost all gross cost falls on hospital operating budgets, in the nursing salary and contract labor lines. The state's cost is small, about $440,000 a year drawn from the health department's licensing budget line, but it matters because without it rules and enforcement would lag. Offsets do not fall neatly in the same lines. Shorter stays reduce hospital costs under fixed per-case payments, so hospitals capture some savings; fewer readmissions reduce payer spending more than hospital costs, and under some payment arrangements fewer readmissions reduce hospital revenue. Hospitals may also save on turnover, since lighter workloads are associated with less burnout and job dissatisfaction (Aiken et al., 2002), though the base case does not count those savings separately. The base case assigns offsets to hospitals and payers together, but a hospital chief financial officer would see less than the full offset in the nursing department's budget.

What this page is doingThe document attributes costs to budgets, which is what the assignment means by following the money.
7

Sensitivity Pass

Three assumptions drive the result. Offsets. If offsets are zero, year 5 net impact rises to about $441 million; if they reach 200% of added staffing cost, roughly what a Queensland evaluation reported, where avoided costs exceeded twice the cost of added nurses (McHugh et al., 2021), year 5 becomes a net saving of about $361 million. Agency share. If agency staffing in year 4 is 50% rather than 30%, cost rises by about $45 million that year. Census and hospital variation. If the true need is 20% higher, as it could be than the average-based calculation because of variation across hospitals, phase 2 staffing cost rises by about $80 million a year. The sign of the net result, cost or saving, depends mainly on offsets, which is why the evaluation plan should measure them directly. A reader who doubts any figure can replace it in the register and rerun the arithmetic, which is the purpose of stating every assumption.

What this page is doingThe sensitivity pass shows how much the result depends on the most uncertain assumptions.
8

What the Budget Impact Shows

On the base case, the ratio is a substantial net cost to hospitals, small in year 1, around $80 million to $95 million a year in phase 1 and around $240 million to $280 million a year in phase 2. The state's direct cost is minor by comparison. Whether the policy is a net cost to the health system as a whole depends on offsets that published evaluations suggest could be large (Lasater et al., 2021; McHugh et al., 2021) but that accrue partly outside hospital budgets. Two practical implications follow for the committee: the bill should fund an evaluation that measures offsets in the state's own hospitals, and the committee should consider whether payers who capture savings should contribute, for example through rate adjustments, to the hospitals that bear the cost.

What this page is doingThe closing interprets the numbers without overstating their precision.
9

References

Aiken, L. H., Clarke, S. P., Sloane, D. M., Sochalski, J., & Silber, J. H. (2002). Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA, 288(16), 1987-1993. https://doi.org/10.1001/jama.288.16.1987

Lasater, K. B., Aiken, L. H., Sloane, D. M., 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

McHugh, M. D., Aiken, L. H., Sloane, D. M., Windsor, C., Douglas, C., & Yates, P. (2021). Effects of nurse-to-patient ratio legislation on nurse staffing and patient mortality, readmissions, and length of stay: A prospective study in a panel of hospitals. The Lancet, 397(10288), 1905-1913. https://doi.org/10.1016/S0140-6736(21)00768-6

Reading the HLTH 6840 Week 10 instructions

Budget impact assignments for this course usually call for an estimate of who pays for a policy, when and from which budget, with assumptions stated. Begin with an assumption register listing each quantity, its value, its type and the kind of source a real analysis would use; label illustrative values. Show each calculation in order, so that a reader could swap in a different input. Present costs and offsets by year and by payer in a table, over a stated time horizon. Explain which budget lines carry each cost and where offsets accrue. Run a sensitivity pass on the most uncertain assumptions and say which one decides whether the policy is a net cost or saving. Close with implications for the decision, not just a total.

Inside the HLTH 6840 Week 10 example

The opening defines a five-year horizon and the method. A register lists ten assumptions with values, types and sources. A section calculates added nurse positions from census and ratios, converts them to FTEs and costs them, and explains why an average-based figure likely understates need. A table shows costs and offsets by year and payer, with net impacts from about $5 million in year one to about $280 million in year four. A section explains which hospital and state budget lines carry costs, citing Aiken and colleagues on turnover. The sensitivity pass varies offsets, agency share and variation, citing McHugh and colleagues. The closing draws implications, citing Lasater and colleagues.

Where the marks sit in the HLTH 6840 Week 10 rubric

The document is scored on transparency and attribution. Graders look for an assumption register with every quantity typed and attributed, calculations a reader can follow and a year-by-year table that separates payers. Explaining which budget lines carry costs, and where offsets fall, shows understanding of how money actually moves. A sensitivity pass that identifies the assumption deciding the sign of the result earns substantial credit. Clearly labeled illustrative values are expected when data are composite. Implications for the decision, such as funding an evaluation of offsets, complete what is graded; totals without assumptions earn little. Instructors also check that the time horizon is stated and that start-up spending is shown separately from spending that repeats each year.

Common HLTH 6840 Week 10 mistakes, and how to avoid them

Budget impact papers often give a single cost figure without showing how it was built, or invent precise numbers without saying where they came from. Others ignore offsets or count them as if they fell in the same budget as the costs. Build a register of assumptions first, with a source type for each. Then calculate step by step, year by year, and separate who pays from who saves. Finally, change your two least certain assumptions and see whether the conclusion changes. If it does, that is the most important finding in the paper. We prepare budget impact analyses for your policy option with every assumption stated and tested. Label every composite figure plainly so a reader never mistakes an illustration for a published estimate.

Get a HLTH 6840 Week 10 example written to your instructions

A budget impact document written to the Week 10 prompt and rubric arrives inside 24 to 48 hours with its formulas shown, its assumptions numbered and its perspective stated. First one free. If figures from your organization belong in it, you supply them; this desk does not reconstruct an employer's ledger or invent a number to stand in for it.

More HLTH 6840 papers and graduate health administration program samples

HLTH 6840 Week 10 questions, answered

Where can I find a free HLTH 6840 Week 10 sample paper?

The budget impact paper and both of its tables are posted on this page free.

How many added nurses does the HLTH 6840 Week 10 analysis estimate?

About 1,004 full-time equivalents for phase one and about 3,344 in total for phase two, based on illustrative state figures.

Who pays most of the cost?

Hospitals, through nursing salary and contract labor lines, with the state paying a small amount for enforcement.

Which assumption decides whether the policy is a net cost or saving?

The share of added staffing cost offset by shorter stays and fewer readmissions.

What does the paper recommend based on the numbers?

Funding an evaluation of offsets in the state's own hospitals and considering whether payers who capture savings should help hospitals bear the cost.