NR 517 Week 7 Policy Impact Analysis, Episode Model Example

Policy & Economics of Healthcare Delivery Chamberlain University Free custom sample in 24 to 48h

Here is an NR 517 Week 7 sample paper that analyzes one payment rule, Medicare's Transforming Episode Accountability Model, as it applies to hip fracture surgery. Chamberlain NR 517, catalog entry NR-517, asks students in Week 7 to separate what a rule makes people do from what it leaves behind for patients. The paper states the rule precisely, then follows it through five groups whose conduct changes: case managers, hospital leaders, SNFs, surgeons and hospitalists, and primary care practices. It uses two evaluations of the predecessor joint replacement model to predict effects, explains why frail hip fracture patients may respond differently, lists effects that will not appear in reports, and proposes measures that separate good savings from harmful ones.

CourseNR 517 Policy & Economics of Healthcare Delivery
Week7
Paper typePolicy impact analysis
LengthAbout 1,100 words, 3 pages
FormatAPA 7 student paper
SchoolChamberlain University
ProgramMSN, Healthcare Policy
UpdatedSeptember 2026

Free sample paper for NR 517 Week 7

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Policy Impact Analysis: One Payment Rule, Medicare's 30-Day Episode Accountability for Hip Fracture Surgery, Traced From the Conduct It Requires to What It Leaves Behind for Patients

Student Name

College of Nursing, Chamberlain University

NR 517: Policy & Economics of Healthcare Delivery

Instructor Name

Month Day, Year

What this page is doingThe title names a single rule and separates conduct from outcome, the distinction the week is built on. Student APA 7 title page.
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Policy Impact Analysis: One Payment Rule, Medicare's 30-Day Episode Accountability for Hip Fracture Surgery, Traced From the Conduct It Requires to What It Leaves Behind for Patients

The Rule

The rule analyzed here is Medicare's Transforming Episode Accountability Model (TEAM), whose five performance years started at the beginning of 2026 and end with 2030. Participation is mandatory for inpatient-system hospitals in the areas CMS selected. The model covers five surgical procedures, one of which is surgical hip and femur fracture treatment. Each episode begins with the hospital stay and ends 30 days after the patient leaves the hospital. Hospitals receive a target price for the episode; if total Medicare spending comes in below it, the hospital may earn a payment, subject to a quality performance adjustment, and if spending exceeds it, the hospital may owe a repayment. There are three participation tracks with different levels of risk, and hospitals must refer patients to primary care (Centers for Medicare & Medicaid Services, n.d.-b).

The analysis keeps to one procedure, hip fracture surgery, at one community hospital, and follows the rule through the people who must now act differently.

Who Has to Do Something Differently

A rule does not produce outcomes directly. It changes what people do, and outcomes follow from that. Five groups at and around the hospital now face different incentives.

Hospital case managers now have a financial reason to influence where patients go after discharge and for how long, because skilled nursing facility (SNF) days, home health visits and readmissions all count toward the episode total. Before the rule, the hospital's payment for the stay did not change with any of these.

Hospital leaders have a reason to form preferred relationships with SNFs whose patients have shorter stays and fewer readmissions, and to share data with them.

SNFs that want referrals have a reason to shorten stays and to show results, since the hospital now watches their numbers.

Surgeons and hospitalists are not directly at financial risk in the episode, but the hospital has a reason to ask them to support earlier surgery, co-management with geriatrics and discharge planning that starts on admission.

Primary care practices will receive referrals the rule requires, and with them patients they may not have seen before the fracture.

What this page is doingThe rule is followed through each group whose conduct it changes, before any claim is made about outcomes.
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From Conduct to Effects on Patients

The most likely change in conduct is fewer and shorter SNF stays. The best evidence comes from the predecessor model for joint replacement, which also included hip fracture patients treated with joint replacement. In a randomized evaluation of its first year, Finkelstein et al. (2018) found that hospitals in the model discharged 2.9 percentage points fewer patients to institutional post-acute care than control hospitals, with lower post-acute spending but no significant change in overall episode spending. Over two years, Barnett et al. (2019) reported that institutional spending per episode fell 3.1%, mostly because fewer patients went to post-acute facilities, while complication rates did not change significantly.

Those studies concerned mostly planned joint replacements in patients who could often go home. Hip fracture patients are older and frailer and have not chosen the timing of their surgery. For them, the same conduct, discharging more patients home and shortening SNF stays, may have different effects. Some will benefit: patients who can recover at home with therapy avoid a facility stay, and those in SNFs may receive more focused rehabilitation. Others may be harmed: a frail patient sent home too soon may fall, like the patient in this course's access brief who went home without SNF coverage and fractured her wrist eleven days later.

The quality performance adjustment is meant to discourage harmful savings. Whether it is strong enough to do so for hip fracture patients is not yet known.

Effects That Are Easy to Miss

Three effects of the rule will not appear in the hospital's episode report. First, family caregivers will absorb more of the recovery when patients go home instead of to a facility, and their time is not counted. Second, SNFs that lose referrals may cut staff or close beds, reducing capacity for patients who do need them, including those outside the model. Third, the primary care referral requirement is only as good as the appointment that follows. A referral to a practice with a three-month wait adds a line to the discharge summary and nothing else.

There is also a risk the rule may not change conduct much at all. Hip fractures are emergencies, so hospitals cannot choose healthier patients, and a community hospital may not have enough episodes a year for small savings per patient to matter.

How to Tell Which Effects Are Happening

The hospital can watch for the difference between good and harmful savings with a few measures it already collects or could collect cheaply. The share of hip fracture patients discharged home rather than to a facility shows whether conduct has changed. Falls, emergency visits and readmissions within 30 days of discharge, broken down by discharge destination, show whether patients sent home are doing worse. The number of days from discharge to the first primary care visit shows whether the referral requirement means anything in practice. And a short question to patients or families at the 30-day call, asking whether they felt ready to leave when they did, captures a harm that no claim will show. If the share going home rises while falls and readmissions among those patients also rise, the savings are coming from patients rather than from better care, and the unit should say so.

What Nurses Should Watch

For nurses on the orthopedic unit, the rule turns discharge planning into a place where payment and safety meet. Nurses are well placed to notice when a patient is being pushed home before they can walk safely, when a family cannot provide the care the plan assumes, or when a referral has no real appointment behind it. Recording functional status clearly, raising concerns in discharge rounds and confirming that follow-up is booked are the conduct changes nurses can bring to the rule. They are also the evidence the quality adjustment depends on.

None of these watch points requires new technology. They require that someone on the unit knows the rule exists, knows what it rewards and is willing to say when a discharge plan seems to serve the episode total more than the patient.

References

Barnett, M. L., Wilcock, A., McWilliams, J. M., Epstein, A. M., Joynt Maddox, K. E., Orav, E. J., Grabowski, D. C., & Mehrotra, A. (2019). Two-year evaluation of mandatory bundled payments for joint replacement. New England Journal of Medicine, 380(3), 252-262. https://doi.org/10.1056/NEJMsa1809010

Centers for Medicare & Medicaid Services. (n.d.-b). Transforming Episode Accountability Model (TEAM). Retrieved September 30, 2026, from https://www.cms.gov/priorities/innovation/innovation-models/team-model

Finkelstein, A., Ji, Y., Mahoney, N., & Skinner, J. (2018). Mandatory Medicare bundled payment program for lower extremity joint replacement and discharge to institutional postacute care: Interim analysis of the first year of a 5-year randomized trial. JAMA, 320(9), 892-900. https://doi.org/10.1001/jama.2018.12346

NR 517 Week 7 instructions, in plain terms

For Week 7 you examine what one health policy does on patients, providers and the health system. Prompts typically ask you to describe the policy, identify stakeholders, analyze intended and unintended effects, and discuss implications for nursing. Choosing one specific rule rather than a broad law makes the analysis possible. The important step is working out who must behave differently because of the rule, and only then tracing effects on patients, since outcomes follow from changed conduct. Use official descriptions of the policy and research on similar policies. Check your section's length and whether it requires a particular policy analysis framework or a recommendation.

How the NR 517 Week 7 example is put together

The example starts with the rule's facts from the CMS description: dates, mandatory participation, five procedures, a 30-day post-discharge window, target prices with a quality adjustment and a primary care referral requirement. It then describes the conduct each group now has reason to change. The effects section reports what earlier evaluations of the joint replacement model found, fewer facility discharges without more complications, and explains why hip fracture patients may differ. A section names effects the hospital's report will miss, including family caregiving and SNF capacity. A measurement section defines how to tell good savings from harmful ones, and the paper ends with what nurses should watch. Each prediction is paired with the evidence behind it and its limits.

Where the points sit in the NR 517 Week 7 rubric

Rubrics for the policy impact analysis usually reward accurate description of the policy, identification of stakeholders, analysis of intended and unintended consequences, use of evidence and implications for nursing. Graders favor papers that trace mechanisms, how the rule changes behavior and how behavior changes outcomes, over papers that assert effects. Evidence from evaluations of similar policies strengthens predictions. A criterion on nursing implications rewards specific actions. Official sources for the policy's details are expected. Format and prose carry the final points, and noting what is not yet known often earns credit under critical thinking. A named measure for each predicted effect makes the analysis testable, which graders tend to reward.

Common NR 517 Week 7 mistakes, and how to avoid them

The most common mistake is jumping from the policy to outcomes without describing who must act differently. Another is choosing a policy too broad to analyze in the space allowed. Students also borrow findings from evaluations of different populations without saying so; the sample flags that joint replacement patients differ from hip fracture patients. Check the policy's details against the official source, since models change. Include effects that will not appear in official reports, such as caregiver burden. Finally, end with what nurses can do. A policy paper that stops at the national level misses the course's point that rules are carried out at the bedside. Where the evidence is thin, say so and describe what would be measured to find out.

Get a NR 517 Week 7 example written to your instructions

Send the Week 7 instructions and the rule your section wants analyzed, and a custom impact analysis written to those headings is back with you inside 24 to 48 hours, the first one free. If the classroom left the choice of rule open, we will suggest two that have enough published evidence behind them.

More NR 517 papers and MSN samples

NR 517 Week 7 questions, answered

Does the rule have to be a federal one?

No. A payer's coverage policy, a state plan amendment or a single health system's billing rule will all support this paper, and a smaller rule is often easier to trace because fewer actors sit between it and a patient. What matters is that the rule is written down somewhere you can cite and that somebody's money moves when it applies.

How do I predict behavior without inventing it?

Anchor every prediction to one of three things: published evidence from somewhere the rule already runs, a documented response to a closely similar rule, or a stated financial mechanism the reader can check for themselves. Label which of the three you are using. A prediction that names its basis can be argued with, and graders reward that far above a confident guess.

Should I say whether the policy was good?

Only against a standard you have named. Good for the payer, for the hospital and for the patient are three different verdicts and a rule can earn all three separately. Say which seat you are judging from before you judge, then the verdict is an argument. Without that, a strong opinion reads as a preference and gets marked as one.

Where can I find a free NR 517 Week 7 sample paper?

The episode model analysis above is a full NR 517 Week 7 sample, free to read in its entirety. If you are analyzing a different rule, such as a state staffing law, send its name and a free analysis can be drafted.

How do I predict the effects of a new policy in NR 517 Week 7?

Use evaluations of earlier, similar policies and say how your population differs. The sample draws on two studies of the joint replacement bundle and explains why frailer hip fracture patients may respond differently.