| Course | NURS 8100 Healthcare Policy and Analysis |
|---|---|
| Week | Week 4 |
| Paper type | Policy analysis |
| Length | About 1,420 words, 8 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Nursing Practice (DNP) |
| Updated | October 2026 |
Free sample paper for NURS 8100 Week 4
Closing the Perinatal Depression Treatment Gap in Medicaid: A State Plan Amendment, Its Financing, and the Caseload Arithmetic That Decides Whether It Works
Student Name
Doctor of Nursing Practice Program, Walden University
NURS 8100: Healthcare Policy and Analysis
Instructor Name
Month Day, Year
Problem Definition: Perinatal Depression in a Medicaid Birth Population
The state Medicaid agency in this analysis is a composite, and every state-level figure below is an illustrative assumption carried through the arithmetic rather than a real program's data. That program finances 52,000 births a year. At a perinatal depression prevalence of 13.0 percent, about 6,760 people in each annual birth cohort meet criteria in the year around delivery. Maternal mortality review committees across 36 states found mental health conditions, including suicide and overdose, to be the leading underlying cause of pregnancy-related death (Centers for Disease Control and Prevention, 2022). The denominator matters more than the percentage, because 6,760 is the number every option in this analysis has to reach, and none of them reaches all of it.
Current policy has already solved the easy part. Screening is covered, the U.S. Preventive Services Task Force recommends counseling interventions for people at increased risk, and both prenatal and postpartum visits carry a screening expectation (U.S. Preventive Services Task Force, 2019). Screening is not the constraint. In this composite program 61.0 percent of the cohort is screened at least once, 38.0 percent of those screening positive have any documented follow-up contact within 30 days, and about 20.0 percent of the 6,760, or 1,352 people, begin and complete a course of evidence-based treatment. That leaves 5,408 people a year who are identified or readily identifiable and then not treated.
The failure is structural rather than clinical. A practice can screen inside a visit it is already paid for, but the treatment it then tries to arrange sits in a specialty behavioral health system with waits measured in months. What the evidence supports is not referral. It is collaborative care: a care manager holding a panel inside the practice, a registry, treatment adjusted to a repeated symptom score, and a psychiatric consultant who reviews cases without seeing most of them. A Cochrane review of 79 trials found collaborative care improved depression and anxiety outcomes over usual care (Archer et al., 2012). The model is proven. Until a payer creates a billable unit for it, no practice can staff it.
Criteria for Comparison and the Four Instruments Considered
Options are compared here against five criteria, stated before the options so the comparison is not built backward from a preferred answer. Reach is the share of the 6,760 an instrument can touch, including the population served by federally qualified health centers and rural health clinics. Durability is whether the authority expires. Financing leverage is how much federal money each state dollar draws. Administrative burden is the agency work and the time to first payment. Equity is whether the instrument reaches rural and safety net practices rather than only large integrated systems. Cost per additional person treated is reported alongside these rather than as a sixth criterion.
A grant program to selected clinics is the fastest instrument and the weakest. It scores well on time to effect and poorly on everything else: reach stops at the awardees, the authority expires with the appropriation, and general fund grant dollars draw no federal match. A managed care contract requirement is the second option and is more attractive than it turns out to be. The agency can require plans to cover integrated behavioral health, but plans buy what the delivery system can bill, and payment for the model has to be actuarially sound using utilization data that does not yet exist. The requirement also leaves the fee-for-service population, small here but disproportionately rural, untouched.
A Section 1115 demonstration is the third option and the one most likely to be proposed in a meeting. It is the wrong tool here. A demonstration must be budget neutral to the federal government, it is time limited, and it carries renewal risk that no practice will hire a care manager against. The fourth option is a state plan amendment adding the psychiatric collaborative care codes to the fee schedule, with the parallel code that lets federally qualified health centers and rural health clinics bill the model outside their per-visit prospective rate (Centers for Medicare & Medicaid Services, 2024). A state plan amendment is an entitlement change: permanent until amended, statewide, and matched.
Financing the Recommendation: The Match, the Episode, and the State Share
Medicaid is financed jointly, and the federal share is set by a statutory formula tied to state per capita income (KFF, 2024). This composite state has a federal medical assistance percentage of 62.0 percent, so the general fund pays 38 cents of every service dollar and each state dollar draws $1.63 of federal money. That ratio is the whole financial argument for putting the model in the state plan instead of a grant. Priced at 100 percent of the Medicare rate, the collaborative care codes pay an average of $135.00 for each month a patient is engaged and treated, so a six-month episode is worth about $810.00 in total computable expenditure.
The recommendation targets treatment for 45.0 percent of the cohort by year three, or 3,042 people, which is 1,690 more than the 1,352 treated now. At $810.00 an episode those 1,690 episodes cost $1,368,900 in total computable expenditure, of which the state share at 38.0 percent is $520,182 and the federal share is $848,718. A second line finances what no fee schedule pays for: a statewide psychiatric consultation service and a shared registry, budgeted at $1,300,000 and claimed as an administrative expenditure at the 50 percent administrative match, so the state share is $650,000. Total state general fund exposure at full uptake is $1,170,182 against $2,668,900 of all-funds spending, or $692 for each additional person treated.
This analysis does not claim the program pays for itself, and a policy memo that does should be read with suspicion. Offset evidence for collaborative care is strongest over multi-year horizons and in populations carrying more comorbidity than a birth cohort, and a budget office will discount a saving it cannot see inside the biennium. The defensible claim is narrower and stronger: $692 of state money buys one more completed course of measurement-based treatment, and the legislature can decide whether that price is worth paying. The claim also survives the budget neutrality test a demonstration would face, since a state plan amendment carries no such test (Medicaid and CHIP Payment and Access Commission, 2024).
Implementation Feasibility, Evaluation, and the Failure Modes to Watch
Feasibility turns on one calculation the policy conversation usually skips. A behavioral health care manager costs about $105,800 a year loaded, and at $135.00 per engaged month a practice has to bill 784 months a year to cover that position. That is a panel of 66 patients held every month, not 66 patients seen at some point in the year. The panel this model is designed around is 60 to 80, so the rate works at the top of that range and only if the psychiatric consultant's time is paid from somewhere else, which is what the state consultation line is for. Statewide, 1,690 episodes are 10,140 billable months, or about 13 full-time care managers, phased over three years.
The administrative path is ordinary and slow. A state plan amendment can take effect on the first day of the quarter in which it is submitted, but the federal review clock resets when the agency is asked for additional information, so an amendment filed in the first quarter should be planned for payment in the third. Managed care contract amendments run on their own annual cycle, and the actuary setting year one rates has no utilization history for a service that does not exist yet, which argues for a risk corridor in the first rating period. Provider readiness is the slower constraint: a registry, a workflow, and a hired care manager take a practice about two quarters.
Evaluation belongs inside the amendment rather than after it. Three measures carry the weight. The share of the birth cohort with a documented screen and a documented follow-up within 30 days, which the federal core measure sets already define. The engaged months billed per care manager full-time equivalent, which predicts whether practices stay in. And the share of treated patients whose symptom score falls by half within 16 weeks, the only one of the three that reports whether treatment happened rather than whether billing happened. Two failure modes deserve watching from the first quarter. A code with a rate too low to staff produces adoption on paper and no panels. A registry requirement with no funded implementation support produces the same result more slowly.
References
Archer, J., Bower, P., Gilbody, S., Lovell, K., Richards, D., Gask, L., Dickens, C., & Coventry, P. (2012). Collaborative care for depression and anxiety problems. Cochrane Database of Systematic Reviews, 10, CD006525. https://doi.org/10.1002/14651858.CD006525.pub2
Centers for Disease Control and Prevention. (2022). Pregnancy-related deaths: Data from Maternal Mortality Review Committees in 36 US states, 2017-2019. U.S. Department of Health and Human Services. https://www.cdc.gov/maternal-mortality/
Centers for Medicare & Medicaid Services. (2024). Behavioral health integration services [MLN booklet]. U.S. Department of Health and Human Services. https://www.cms.gov/
KFF. (2024). Medicaid financing: The basics. KFF. https://www.kff.org/medicaid/
Medicaid and CHIP Payment and Access Commission. (2024). Report to Congress on Medicaid and CHIP. Medicaid and CHIP Payment and Access Commission. https://www.macpac.gov/
U.S. Preventive Services Task Force. (2019). Interventions to prevent perinatal depression: US Preventive Services Task Force recommendation statement. JAMA, 321(6), 580-587. https://doi.org/10.1001/jama.2019.0007
NURS 8100 Week 4 instructions, in plain terms
The fourth NURS 8100 week usually asks for a policy analysis rather than an opinion paper. Students define a problem with data, set criteria, compare policy options, recommend one and address financing, implementation and evaluation. Faculty reward analysis that a decision maker could act on, so papers arguing a position without comparing options lose points. Cite policy frameworks and data sources in APA 7. A composite setting with labeled figures is acceptable. A doctoral analysis differs from a master's paper by showing financing and feasibility in detail. Use one denominator throughout. Name what would make the recommendation fail. Label every assumption in the financing section so a reader can substitute real figures. A criteria table that scores each option makes the comparison transparent, and a short paragraph should explain how criteria were weighted.
How the NURS 8100 Week 4 example is put together
The example opens by defining perinatal depression in a Medicaid birth population, with prevalence applied to the state's births to give the number affected each year. The second section sets criteria such as reach, cost, speed and administrative burden, and compares four instruments, from managed care contract changes to a state plan amendment. The third section works through financing step by step: the federal matching rate, the cost of a treatment episode and the resulting state share. The final section assesses whether there are enough clinicians to absorb the new caseload, sets evaluation measures and names failure modes, such as low screening rates or long waits after referral. Composite figures are labeled as illustrative assumptions so the method can be applied to a real state. The recommendation is restated at the end with the condition under which the state should revisit it.
Reading the NURS 8100 Week 4 rubric
Doctoral policy rubrics weight analysis and financing most heavily. Papers lose credit when options are described without criteria or when cost is asserted rather than calculated. The problem row rewards a clear denominator and population. The comparison row is marked on whether each option is judged against the same criteria. Financing earns marks when the arithmetic is shown and assumptions are labeled. Feasibility and evaluation rows reward writers who name the conditions under which the recommendation would fail. Clear tables for criteria and costs support every row. Labeled assumptions earn credit because they let a reader test the arithmetic with real data. A criteria table that scores each option on the same scale earns credit for transparency.
NURS 8100 Week 4 help: mistakes that cost marks
Policy analyses lose the most when they argue for one option without comparing others. Set criteria and apply them. Another weakness is hidden arithmetic. Show the match and state share. Writers also ignore capacity. Ask whether enough clinicians exist. Avoid unlabeled assumptions. Mark composite figures. Name failure modes. A table of the four instruments scored against each criterion makes the comparison easy to check. Close with the first measure the state should report. Keep the denominator the same in every section. State the federal matching rate and its source.
Get a NURS 8100 Week 4 example written to your instructions
Send the policy problem or state your section assigned, with the Week 4 instructions and rubric, and a NURS 8100 policy analysis is prepared with a fixed denominator, scored options, worked financing and failure modes. 24 to 48 hours; the first request costs nothing. Composite figures are labeled as assumptions.
More NURS 8100 papers and DNP samples
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- NURS 8100 Week 3: Policy issue justification
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- NURS 8100 Week 6: Financing trade-off thread
- NURS 8100 Week 7: Policy options appraisal
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- NURS 8100 Week 9: Legislative strategy thread
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- NURS 8002 Week 4: Scholarship of practice thread
NURS 8100 Week 4 questions, answered
What does NURS 8100 Week 4 usually ask for?
Walden does not publish week-level assignment names, so treat any description as typical rather than official. In many sections the Week 4 assignment in this doctoral policy course asks for a policy analysis: a defined problem, stated criteria, compared options, a recommended instrument, and its financing. Your classroom's instructions and rubric decide the exact form, length, and citation expectations.
How is a doctoral policy analysis different from a master's policy paper?
Altitude and mechanism. A master's paper can argue that a problem deserves attention. A doctoral analysis names the instrument that would change it, the money that would finance it, and the conditions under which it would fail. The sample above prices the recommendation, states the federal match, and shows the caseload arithmetic that decides whether practices can staff the model.
Do I need real data, or can the setting be a composite?
Use real published figures for the evidence and the policy mechanics, and make the local setting a composite you label as one. That is what the sample does. Agency reports and a systematic review carry the argument, while the state program, its birth volume, and its budget lines are illustrative assumptions stated as such and kept internally consistent.
Where can I find a free NURS 8100 Week 4 sample paper?
The perinatal depression Medicaid policy analysis is on this page with the problem definition, criteria, four instruments, financing and failure modes.
How many people are affected each year in NURS 8100 Week 4?
About 6,760, applying a 13.0 percent perinatal depression prevalence to the program's 52,000 births a year.