MMHA 6540 Week 8 Payer ROI Brief Example

Population Health Management Applications Walden University Free custom sample in 24 to 48h

This MMHA 6540 Week 8 return on investment brief example asks a composite Medicare Advantage plan's executive committee to fund a falls program for a year and judge it against a stated threshold. Walden MMHA 6540 asks MHA students to make the payer case honestly, and the brief defines return as net savings divided by cost, citing Reiter and Song, values each avoided fall admission at an illustrative $15,000, citing Florence and colleagues, and shows three scenarios: 20 avoided admissions returns about minus 55 percent, 44 breaks even and 60 returns about 36 percent. It then compares break-even with about 160 expected admissions among 600 participants, citing Sherrington and Gillespie and colleagues, and calls a first-year shortfall likely. The case for funding anyway cites Szanton and colleagues, and a risks section, drawing on Barnett and colleagues, warns that members picked after a fall will partly recover on their own.

CourseMMHA 6540 Population Health Management Applications
WeekWeek 8
Paper typePayer ROI brief
LengthAbout 710 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramMaster of Healthcare Administration (MHA)
UpdatedOctober 2026

Free sample paper for MMHA 6540 Week 8

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Will Falls Prevention Pay for Itself? A Return on Investment Brief for Prairie Gate's Executive Committee

Student Name

Walden University

MMHA 6540: Population Health Management Applications

Instructor Name

Month Day, Year

What this page is doingThe title asks the committee's question directly, which is the only way a payer brief should open.
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Will Falls Prevention Pay for Itself? A Return on Investment Brief for Prairie Gate's Executive Committee

Request

The executive committee is asked to fund the falls prevention program for one year at about $660,000 and to judge it against a stated threshold: the program breaks even if it prevents about 44 fall-related admissions among its 600 participants. The committee should also decide now what it will do if the program falls short of break-even but improves members' safety and experience, since that is a likely result in the first year.

What this page is doingThe request leads, with the threshold that will judge it.
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How Return Is Calculated

Return on investment is the net financial gain divided by the cost: the savings from avoided admissions, minus the program's cost, divided by the program's cost (Reiter & Song, 2021). The calculation assumes each avoided fall-related admission saves the plan about $15,000, an illustrative figure that combines the hospital stay, follow-up care and, for some patients, a short skilled nursing stay. It counts only admissions, since they drive most of the cost of falls (Florence et al., 2018); avoided emergency visits without admission would add further savings that are not counted here.

What this page is doingReturn on investment is defined in a sentence and its inputs are stated.
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Three Scenarios

Table 1 shows return under three scenarios. The chart planned for the brief would plot return against avoided admissions as a straight line crossing zero at 44; the table gives the same points.

Table 1

Return on Investment by Avoided Admissions (Illustrative)

Avoided admissionsSavings at $15,000 eachProgram costNet gainReturn
20$300,000$660,000($360,000)About -55%
44$660,000$660,000$0Break-even
60$900,000$660,000$240,000About 36%
What this page is doingThree scenarios bracket the likely result and show where break-even sits.
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Is Break-Even Realistic?

The program's participants are members who have already fallen, so their risk of another fall-related admission is high. Based on the past year's claims for the target segment, the plan expects roughly 160 fall-related admissions a year among 600 participants without the program. Breaking even therefore requires preventing about 44 of 160, or a little over a quarter.

That is ambitious. Pooled trials of balance-challenging exercise for community-dwelling older adults show falls dropping by roughly a quarter (Sherrington et al., 2019), and home safety interventions reduce falls among higher-risk people as well (Gillespie et al., 2012). But not every fall leads to admission, not every participant will complete every component, and effects in real-world programs are usually smaller than in trials. A realistic expectation for the first year is a reduction somewhat below the break-even point, perhaps 20 to 35 avoided admissions, with the return improving in later years if the program reaches participants faster and class attendance rises.

What this page is doingThe brief compares the break-even point with expected admissions.
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Why Fund It Anyway

A first-year return below break-even is not a reason to decline. The program's per member per month cost of about $2.75 is small. Falls cause pain, fear and loss of independence that the return calculation does not count, and members and their families notice when a plan helps them stay safely at home. Medicare Advantage plans compete for members partly on such benefits. And the plan will learn, from one year of data, whether the program can reach break-even with adjustments. Programs that address home environment and function together have reduced disability among older adults (Szanton et al., 2019), so the benefits may extend beyond falls.

What this page is doingThe brief makes the case beyond return on investment.
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Risks to the Estimate

Three factors could make the result worse than expected: slow enrollment, a repair backlog that delays modifications, and regression to the mean. The last matters most. Members were selected because they recently fell, and some of them would have had a calmer year regardless of anything the plan did, so a simple before-and-after comparison will overstate the program's effect (Barnett et al., 2005). The evaluation framework must compare participants with similar members who have not yet been offered the program. Factors that could make the result better include savings from avoided emergency visits and skilled nursing stays, which this brief does not count.

What this page is doingThe risks section states what could make the result worse or better than expected.
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Recommendation

Fund the program for one year. Judge it at twelve months on avoided fall-related admissions compared with a comparison group, using the break-even threshold of about 44 as the benchmark, and on process measures showing whether the program reached members quickly. If avoided admissions are between 20 and 44 and process measures are improving, continue with adjustments. If they are below 20 and process measures are not improving, redesign or stop.

What this page is doingThe close repeats the request with the decision rule.
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References

Barnett, A. G., van der Pols, J. C., & Dobson, A. J. (2005). Regression to the mean: What it is and how to deal with it. International Journal of Epidemiology, 34(1), 215-220. https://doi.org/10.1093/ije/dyh299

Florence, C. S., Bergen, G., Atherly, A., Burns, E., Stevens, J., & Drake, C. (2018). Medical costs of fatal and nonfatal falls in older adults. Journal of the American Geriatrics Society, 66(4), 693-698. https://doi.org/10.1111/jgs.15304

Gillespie, L. D., Robertson, M. C., Gillespie, W. J., Sherrington, C., Gates, S., Clemson, L. M., & Lamb, S. E. (2012). Interventions for preventing falls in older people living in the community. Cochrane Database of Systematic Reviews, 2012(9), Article CD007146. https://doi.org/10.1002/14651858.CD007146.pub3

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

Sherrington, C., Fairhall, N. J., Wallbank, G. K., Tiedemann, A., Michaleff, Z. A., Howard, K., Clemson, L., Hopewell, S., & Lamb, S. E. (2019). Exercise for preventing falls in older people living in the community. Cochrane Database of Systematic Reviews, 2019(1), Article CD012424. https://doi.org/10.1002/14651858.CD012424.pub2

Szanton, S. L., Xue, Q.-L., Leff, B., Guralnik, J., Wolff, J. L., Tanner, E. K., Boyd, C., Thorpe, R. J., Jr., Bishai, D., & Gitlin, L. N. (2019). Effect of a biobehavioral environmental approach on disability among low-income older adults: A randomized clinical trial. JAMA Internal Medicine, 179(2), 204-211. https://doi.org/10.1001/jamainternmed.2018.6026

What the MMHA 6540 Week 8 instructions ask for

Return on investment briefs ask you to tell payers honestly whether a program will pay for itself. Lead with the request and the threshold that will judge it. Define return in one sentence and state every input, labeling illustrative values. Show results under several scenarios, including break-even. Compare the break-even point with what the program is likely to achieve, using published evidence on effect sizes and being realistic about real-world programs. Make the case for funding even if the return falls short, if one exists, without overstating it. Name what could distort the reading in either direction, above all the way participants were selected. Close with a decision rule for the end of the year.

How the MMHA 6540 Week 8 example is put together

The request section asks for one year of funding and a decision now about how to treat a shortfall. A definition section explains the formula, cites Reiter and Song and Florence and colleagues, and states the $15,000 assumption. Table 1 shows three scenarios. A realism section compares 44 avoided admissions with about 160 expected, cites Sherrington and Gillespie and colleagues, and predicts 20 to 35 in year one. A section on funding anyway cites the low per member cost, member experience and Szanton and colleagues. A risks section warns that members picked right after a fall tend to drift back toward average anyway (the regression effect Barnett and colleagues describe) and so requires a comparison group. The recommendation sets continue, adjust and stop bands.

Where the marks sit in the MMHA 6540 Week 8 rubric

Payer briefs are graded on honesty and decision usefulness. A clear request with a threshold earns the first share. Correct calculation of return under several scenarios earns the next; errors in arithmetic or definition cost heavily. Comparing break-even with realistic expectations, using evidence, is the key analytical step and carries the most weight. A case for funding beyond return must be stated without exaggeration. Recognizing selection effects and requiring a comparison group demonstrates methodological awareness. A decision rule set in advance is credited. Brevity matters too, since executives read briefs in minutes. Briefs that admit a likely first-year shortfall, while giving a reason to proceed, are trusted more than those promising a quick return.

MMHA 6540 Week 8 help: mistakes that cost marks

Return briefs often show only the optimistic scenario. Show several, including break-even, and compare break-even with what is likely. Use published effect sizes to calibrate, and remember that real programs usually do worse than trials. If the program will probably fall short at first, say so and explain why it may still be worth funding. Warn the committee that participants selected after a fall will improve somewhat on their own. Set the rule for next year's decision now. Keep it to a few pages. We can write a payer return on investment brief for a program your organization proposes.

Get a MMHA 6540 Week 8 example written to your instructions

Which funder does your Week 8 brief address? Put that with the prompt and rubric, and a brief built around break-even scenarios, value beyond dollars and a renewal threshold arrives in 24-48h, the first at no charge. The admission cost, returns and the executive committee are all illustrative inventions.

More MMHA 6540 papers and MHA samples

MMHA 6540 Week 8 questions, answered

Where can I find a free MMHA 6540 Week 8 sample paper?

Both the ROI brief and its three-scenario table appear in full on this page.

How is return calculated in the MMHA 6540 Week 8 brief?

Savings from avoided admissions minus program cost, divided by program cost.

How many avoided admissions break even?

About 44, at an illustrative $15,000 per avoided fall-related admission.

Is break-even realistic in year one?

It is ambitious; the brief expects about 20 to 35 avoided admissions in the first year.

Why fund the program anyway?

Its cost per member is small, members value the help, and the plan can learn whether adjustments reach break-even.