| Course | IHP 610 Health Policy and Law |
|---|---|
| Module | Module 2 |
| Paper type | graduate paper weighing research evidence on a health policy |
| Length | About 1,060 words, 6 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | MS Healthcare Administration |
| Updated | September 2026 |
Free sample paper for IHP 610 Module 2
What Expansion Would Change: Weighing the Evidence on Medicaid for Prairie Ridge Health
[Student Name]
Southern New Hampshire University
IHP 610: Health Policy and Law
Module Two Paper
[Instructor Name]
[Date]
The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.
What Expansion Would Change: Weighing the Evidence on Medicaid for Prairie Ridge Health
Prairie Ridge Health's board will soon decide whether to put the system's name and money behind a Medicaid expansion campaign. Several trustees have heard that expansion saves lives; others have read that the Oregon study showed it made no difference to health. Both claims point to real research, and both oversimplify. This paper weighs the main evidence so the board can act on what the research actually shows.
The Question and the Standard of Evidence
The board's question has several parts: does expansion increase coverage and access, improve health, reduce financial hardship and affect hospital finances? The strongest evidence would come from randomized trials, but policy is rarely randomized. Most expansion research uses natural experiments, comparing states or people before and after expansion with similar groups that did not expand. Those designs can be strong if comparison groups are well chosen, but they are vulnerable to other changes that happened at the same time.
The Oregon Experiment
In 2008 Oregon had funds to enroll only some uninsured low-income adults in Medicaid and used a lottery to choose them, creating a rare randomized comparison. Baicker et al. (2013) measured outcomes about two years later. Medicaid coverage increased the use of health care, raised rates of diabetes diagnosis and use of diabetes medication, reduced rates of depression and all but removed the risk of ruinous medical bills for enrollees. It did not produce statistically significant improvements in measured blood pressure, cholesterol or glycated hemoglobin.
Reading the Oregon Results Carefully
The Oregon findings are often quoted as proof that Medicaid does nothing for physical health. That reading goes too far. The study followed people for only two years, a short time to change chronic disease outcomes, and relatively few participants had the conditions measured, which limited its power to detect modest effects. Its confidence intervals included both no effect and clinically meaningful improvements. The fair conclusion is that the study found clear benefits for mental health and financial security and could not confirm short-term changes in three physical measures.
Evidence on Mortality
Sommers et al. (2012) compared three states that expanded Medicaid to adults in the early 2000s, New York, Maine and Arizona, with neighboring states that did not. Expansion was associated with a significant reduction in adjusted all-cause mortality of about 6% relative to the comparison states, along with increased coverage, fewer residents putting off care over cost and more reporting good health. The authors noted that their observational design could not fully exclude other explanations.
Newer Mortality Evidence
Miller et al. (2021) linked national survey data to death records to study the expansions under the Affordable Care Act. Among low-income adults aged 55 to 64, those living in expansion states had significantly lower mortality after expansion than similar adults in non-expansion states, driven mainly by fewer deaths from diseases treatable with health care. Because the study could identify individuals who were eligible, it avoids some of the weaknesses of comparisons across whole state populations.
The Broader Literature
Mazurenko et al. (2018) systematically reviewed 77 studies of the Affordable Care Act expansions. Most studies found that expansion increased coverage, access to care and use of services, and many found improved affordability and better hospital financial performance, including lower uncompensated care. Evidence on the quality of care and on health outcomes was more limited and mixed, partly because such outcomes take longer to change and are harder to measure.
Grading the Evidence
Each source contributes something different, and none answers every part of the board's question. The table summarizes design, strength and main findings.
Table 1. Key Studies on Medicaid Expansion
| Study | Design | Strength | Main finding |
|---|---|---|---|
| Baicker et al. (2013) | Randomized lottery, Oregon | High internal validity; short follow-up, limited power | Better finances and mental health; no significant change in three physical measures |
| Sommers et al. (2012) | State comparison, pre-ACA | Moderate; possible confounding | About 6% lower adjusted mortality |
| Miller et al. (2021) | Linked individual data, ACA | Moderate to strong | Lower mortality among low-income adults 55-64 |
| Mazurenko et al. (2018) | Systematic review of 77 studies | Summarizes varied designs | Consistent gains in coverage, access and finances; mixed health outcomes |
Note. Strength ratings are the author's judgments.
Counterarguments Worth Taking Seriously
Opponents raise three concerns that the evidence does not dismiss. State costs rise over time, since the federal share of expansion costs dropped from 100% to 90%. Some newly covered adults may have dropped private coverage, although studies suggest this effect has been small. And increased demand can strain primary care capacity, lengthening waits for existing patients. A responsible campaign should address these directly rather than cite only favorable findings.
What Expansion Means for Hospital Finances
For hospital leaders, the financial evidence is the most direct. Mazurenko and colleagues found that most studies of hospital finances reported lower uncompensated care and improved operating margins in expansion states, with the largest gains among hospitals that had served many uninsured patients. That pattern matters for rural facilities, which often operate on thin margins and serve a larger share of uninsured adults. Studies of whether expansion prevented hospital closures are fewer, yet the available findings all lean the same way: when more patients arrive with coverage, safety-net hospitals are paid for more of the care they already provide. For Prairie Ridge, whose two rural hospitals run negative margins, this is the most immediate and measurable effect the board could expect.
What the Board Can Conclude
The evidence supports four conclusions with reasonable confidence: expansion increases coverage and access; it sharply reduces catastrophic medical spending; it improves hospital finances through lower uncompensated care; and it is associated with lower mortality, with the strongest recent evidence among older low-income adults. It does not show rapid improvements in every clinical measure, and state budget effects depend on design.
Implications for Prairie Ridge
For a system absorbing $48 million a year in uncompensated care, the financial evidence is directly relevant. The mortality and access evidence supports the system's mission. But the board should avoid overstating the case; claiming that expansion will quickly improve every health measure invites rebuttal from anyone who has read the Oregon study.
Conclusion
The research on Medicaid expansion is stronger than skeptics claim and more nuanced than advocates often admit. Read together, the Oregon experiment, the mortality studies and the systematic review give Prairie Ridge a credible, honest basis for supporting expansion while acknowledging what remains uncertain.
References
Baicker, K., Taubman, S. L., Allen, H. L., Bernstein, M., Gruber, J. H., Newhouse, J. P., Schneider, E. C., Wright, B. J., Zaslavsky, A. M., & Finkelstein, A. N. (2013). The Oregon experiment: Effects of Medicaid on clinical outcomes. New England Journal of Medicine, 368(18), 1713-1722. https://doi.org/10.1056/NEJMsa1212321
Mazurenko, O., Balio, C. P., Agarwal, R., Carroll, A. E., & Menachemi, N. (2018). The effects of Medicaid expansion under the ACA: A systematic review. Health Affairs, 37(6), 944-950. https://doi.org/10.1377/hlthaff.2017.1491
Miller, S., Johnson, N., & Wherry, L. R. (2021). Medicaid and mortality: New evidence from linked survey and administrative data. The Quarterly Journal of Economics, 136(3), 1783-1829. https://doi.org/10.1093/qje/qjab004
Sommers, B. D., Baicker, K., & Epstein, A. M. (2012). Mortality and access to care among adults after state Medicaid expansions. New England Journal of Medicine, 367(11), 1025-1034. https://doi.org/10.1056/NEJMsa1202099
What the IHP 610 Module 2 instructions ask for
The Module 2 paper in IHP 610 generally asks you to review and weigh the evidence on a health policy. Plan on four to six APA 7 pages. State the policy question in parts, explain how you judged the strength of studies and summarize the main findings accurately, including results that cut against your expectations. A table grading the sources by design and strength helps. Address counterarguments fairly, state conclusions at the level of confidence the evidence supports and explain what the findings mean for a specific organization or decision. IHP 610 graders notice clean headings in IHP 610 papers. IHP 610 names and dates need checking before IHP 610 submission. IHP 610 prompts vary by term, so recheck IHP 610 directions.
How this IHP 610 Module 2 policy evidence paper example is built
This paper weighs Medicaid expansion research for a composite health system's board. Baicker and colleagues' Oregon lottery results are summarized with their null physical measures and limited power. Sommers, Baicker and Epstein and Miller, Johnson and Wherry supply mortality evidence, and Mazurenko and colleagues' review of 77 studies summarizes gains in coverage and hospital finances. A table grades the four sources, counterarguments on state costs and capacity are addressed and conclusions are stated with appropriate confidence. IHP 610 students can reuse this structure for IHP 610 work. IHP 610 claims here trace to cited IHP 610 sources. IHP 610 readers can adapt each section to IHP 610 data.
Where the IHP 610 Module 2 rubric puts the points
Policy evidence papers are generally evaluated on a clearly stated question, accurate summaries of research, explicit judgment of study strength, balanced treatment of conflicting findings, fair engagement with counterarguments, conclusions matched to the evidence, relevance to a decision, scholarly support and APA 7. Higher marks go to papers that interpret null results carefully and distinguish outcomes with strong evidence from those with weak evidence. Papers lose credit for cherry-picking, for misdescribing study findings or for claiming certainty the research cannot support. IHP 610 marks favor careful formatting across IHP 610 sections. IHP 610 citations keep every IHP 610 argument credible. IHP 610 instructors weigh evidence heavily in IHP 610 grading.
IHP 610 Module 2 help: the mistakes that cost points
Evidence papers in IHP 610 often fall short by citing only studies that support one side, by repeating a popular summary of a study rather than its actual findings and by treating every study as equally strong. Another common gap is no discussion of counterarguments. Break the question into parts, judge each study's design, summarize findings precisely, build a table, address the strongest objections and draw calibrated conclusions. Share your policy topic and the IHP 610 prompt so the review matches your assignment. IHP 610 drafts start well from a IHP 610 outline. IHP 610 feedback already received guides IHP 610 revisions. IHP 610 rubrics posted in Brightspace clarify IHP 610 expectations.
Get IHP 610 Module 2 written to your instructions
Send the IHP 610 Module 2 prompt and the policy you are examining. The paper will summarize key studies accurately, grade their strength, address counterarguments and state conclusions at the confidence the evidence supports, within 24 to 48 hours, free the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
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IHP 610 Module 2 questions, answered
Where can I find a free IHP 610 Module 2 Policy Evidence Paper sample?
IHP 610 Module 2 is reproduced here in full, weighing the Oregon experiment, mortality studies and a systematic review on Medicaid expansion.
What did the Oregon Medicaid experiment find?
Coverage increased care use, diabetes detection and financial protection and reduced depression, without significant two-year changes in blood pressure, cholesterol or A1c.
Does Medicaid expansion reduce mortality?
Several observational studies, including one using linked individual data, found lower mortality after expansion, especially among older low-income adults.
How do I judge the strength of policy research?
Consider the design, how well comparison groups are chosen, sample size and follow-up and whether other changes could explain the results.
Should I include evidence against my position?
Yes; addressing opposing evidence fairly makes the paper more credible and is usually rewarded.