State Health Policy Reform Analysis —
How to Write a Strong Policy Analysis Paper
Your assignment requires you to select a state health policy innovation, explain its rationale and adoption mechanism, analyze its funding structure, evaluate its impact using statistical evidence, and assess its ethical outcomes. That is five analytically distinct tasks. This guide breaks down what each component requires, how the three most common policy examples hold up under scrutiny, what sources to use, and where student papers lose marks — without writing the paper for you.
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The assignment has five components that must be present and analytically distinct. First, policy selection — choosing a specific, bounded state-level innovation with a clear legislative or regulatory history. Second, rationale — explaining the problem the policy was designed to solve and why state-level action was the chosen mechanism. Third, adoption mechanism — describing exactly how the policy became law or regulation: federal waiver, state legislature, ballot initiative, executive action, or court order. Fourth, funding structure — identifying where the money comes from, how it flows, and what financial mechanisms govern it. Fifth, impact and ethical evaluation — using available statistical data to assess outcomes and analyzing those outcomes against ethical principles. Students who produce a descriptive paper on a policy without the statistical impact component and the ethical analysis are completing approximately three of the five requirements.
The assignment is not asking for a history of the policy. It is asking you to perform an analysis — which means evaluating evidence, reaching conclusions, and making arguments about what the data shows. A paper that describes what Maryland’s rate-setting system does without asking whether it worked, at what cost, and whether its benefits were distributed fairly is a description, not a policy analysis. The distinction matters because most rubrics assign the highest marks to the impact evaluation and ethical assessment, not to the rationale description.
The instruction to use statistical data “to the extent available” is not a license to skip the impact section if the numbers are inconvenient. It means you should use the best available evidence — peer-reviewed studies, government reports, CMS data, state health department statistics, Commonwealth Fund analyses — and note where data is limited or contested. Acknowledging data limitations while using what is available is stronger than avoiding the question.
Choose Your Policy Before You Read Anything Else
The choice of policy determines what sources exist, what data is available, and what adoption mechanism you will need to explain. Make this decision first, based on one criterion: is there enough peer-reviewed literature and government outcome data to complete the impact section adequately? Policies with at least five years of post-implementation data — Maryland’s rate-setting (decades of data), Massachusetts Chapter 58 (2006 to present), and Vermont’s Act 48 (attempted 2011–2014, with documented reasons for abandonment) — all meet this threshold. If you are selecting a policy beyond these three examples, verify that impact data exists before committing to the choice.
Selecting the Right State Policy Innovation — How to Evaluate Your Options
The assignment names three examples: Maryland’s hospital rate setting, Vermont’s single-payer attempt, and Massachusetts’ health reforms. Each has a distinct analytical profile. Understanding what each policy offers — and what analytical challenges it presents — should inform your selection. If your instructor requires a specific policy, skip this section and move directly to the component that covers it. If you have free choice, the comparison below will help you match the policy to your analytical strengths.
The Three Assigned Examples — Analytical Profile of Each
Each policy has a different adoption mechanism, a different funding structure, and a different evidence base. Your selection should match the analytical demands of the assignment.
Maryland Hospital Rate Setting
- Established 1971 under Maryland Health Services Cost Review Commission (HSCRC); federal Medicare/Medicaid waiver granted 1977; major restructuring under Global Budget Revenue (GBR) model in 2014
- Adoption mechanism: state legislation plus federal CMS waiver — one of the most complex adoption stories of the three
- Funding: all-payer rate regulation — hospitals paid same rate regardless of payer type (Medicare, Medicaid, private insurance)
- Data availability: exceptionally strong — decades of HSCRC data, multiple peer-reviewed evaluations, CMS waiver performance reports
- Strongest for: demonstrating how a federal waiver enables state innovation; analyzing long-term cost containment evidence
- Challenge: the 2014 GBR restructuring created a before/after analytical complexity — be clear which model you are analyzing
Vermont’s Single-Payer Attempt (Act 48)
- Enacted 2011 under Governor Shumlin; Green Mountain Care Board established; implementation suspended 2014 before coverage began
- Adoption mechanism: state legislature — passed Act 48 by majority vote; no federal waiver ever granted for full implementation
- Funding: designed around 11.5% payroll tax and income-based premium sliding scale; cost projections caused abandonment
- Data availability: strong on process and reasons for failure; limited on healthcare outcome impact since the system never launched
- Strongest for: analyzing why single-payer failed at state level; examining federal preemption barriers (ERISA); evaluating financing feasibility
- Challenge: the “impact” section must pivot to analyzing the policy’s failure and what that reveals about state-level reform limits
Massachusetts Chapter 58 (2006)
- Enacted April 2006 under Governor Romney; individual mandate, Medicaid expansion, Commonwealth Connector exchange, employer fair share requirements
- Adoption mechanism: state legislature — bipartisan passage with federal Medicaid waiver underpinning the Medicaid expansion component
- Funding: combination of federal Medicaid match, employer assessments, individual mandate penalties, and state general revenue
- Data availability: exceptionally strong — served as the model for the ACA; extensive NEJM, Health Affairs, and RAND studies
- Strongest for: analyzing near-universal coverage achievement; examining the template relationship to the ACA; evaluating insurance expansion impact
- Challenge: disentangling Massachusetts-specific outcomes from the subsequent ACA’s influence requires careful sourcing
If Your Instructor Allows Original Policy Selection
Beyond the three named examples, strong alternatives with robust outcome data include: Oregon’s Coordinated Care Organizations (CCOs) — a Medicaid managed care innovation with multi-year CMS evaluation data; California’s Medi-Cal expansion under the ACA (2014) — one of the largest Medicaid expansions with extensive coverage and utilization data; New York’s DSRIP program — a Section 1115 waiver restructuring safety-net hospitals with documented reduction in avoidable hospitalizations; and Tennessee’s TennCare Medicaid program — notable for both its initial expansion and subsequent dramatic rollback, making it analytically rich for policy failure analysis. For each of these, verify that peer-reviewed studies with outcome data exist before selecting.
Writing the Rationale Section — What Problem Was the Policy Designed to Solve?
The rationale section answers one question: what was broken, and why was this particular policy the proposed fix? It is not a general background section on the US healthcare system. It is a specific account of the conditions — political, economic, epidemiological, or social — that made the policy’s home state a site for this particular innovation. The rationale section should be grounded in evidence of the problem: data on uninsurance rates, hospital cost trends, access disparities, or public health failures that predated the policy and motivated it.
The rationale section does not describe what the policy does. It explains why the problem it addressed was urgent enough to require a policy response, and why the state chose this particular mechanism rather than an alternative.
— The analytical standard for a strong rationale section| Policy | The Core Problem It Addressed | Key Evidence of the Problem (Pre-Policy) | Why State-Level Action Rather Than Federal |
|---|---|---|---|
| Maryland Rate Setting | Uncontrolled hospital cost inflation in the 1960s and early 1970s; Maryland’s hospital costs per admission were among the highest in the nation; cost-shifting between payer types created incentives for hospitals to maximize charges to private payers | HSCRC data shows Maryland hospital cost-per-admission was well above national average before regulation; Medicare and Medicaid cost-shifting was documented by state commission reports in the early 1970s | Federal hospital price regulation did not exist; Maryland’s constitution and political environment enabled a regulatory commission model that would not pass at federal level; the federal waiver was sought after the state model was already operational, to prevent Medicare/Medicaid from undermining it |
| Vermont Act 48 | High uninsurance rate relative to Vermont’s progressive political values; Vermont’s small size and relatively homogeneous population were seen as making a single-payer model administratively feasible; administrative waste from multi-payer system was the target | Vermont’s uninsurance rate was approximately 8–9% at the time of passage; administrative overhead from billing multiple payers was documented in state health care cost analyses; a series of state commissions had recommended single-payer over preceding two decades | Federal single-payer legislation had not passed; Vermont’s legislature and governor judged that state action was the only available path; the federal ERISA preemption problem — which ultimately contributed to the policy’s failure — was underestimated in the rationale stage |
| Massachusetts Chapter 58 | Approximately 10–13% uninsurance rate in Massachusetts despite the state’s relative wealth; a disproportionate burden on safety-net hospitals from uncompensated care; political consensus that near-universal coverage was achievable given the state’s existing Medicaid waiver infrastructure | Massachusetts had a federal Medicaid Section 1115 waiver (the “free care pool”) that was at risk of non-renewal; CMS signaled it would redirect free care pool funds toward coverage expansion rather than uncompensated care reimbursement; this fiscal pressure — not just altruism — drove the reform’s timing | The federal ACA did not exist until 2010 — four years after Chapter 58 passed; Massachusetts acted because the available federal mechanism (Section 1115 waiver renegotiation) created a narrow window; legislative consensus between a Democratic legislature and Republican governor (Romney) aligned at that moment |
When writing the rationale section, do not start with general statements about the US healthcare system. Start with the specific problem in the specific state at the specific time the policy was developed. The rationale section should be two to three focused paragraphs that could only be about this policy — not about healthcare reform generally.
Explaining How the Policy Was Adopted — The Mechanism Matters for Your Analysis
The adoption mechanism section is not a procedural formality. The mechanism through which a policy was adopted shapes what it can legally do, who controls it, how it can be modified or overturned, and what its relationship with federal programs is. A policy adopted through a Section 1115 Medicaid waiver operates under fundamentally different legal constraints than one adopted by state statute alone — and those constraints are analytically relevant to understanding its scope, its sustainability, and its replicability.
State Legislation (Statute)
The most common mechanism. The policy is passed by the state legislature and signed by the governor. It takes effect as state law. It can be amended or repealed by subsequent legislation. It cannot override federal law — meaning ERISA preemption, Medicare payment rules, and federal Medicaid matching requirements all constrain what a purely statutory state policy can achieve. Massachusetts Chapter 58 and Vermont Act 48 are both primarily statutory. The critical analytical point: statutory adoption creates political vulnerability that regulatory adoption does not, because a change in legislative majority can reverse the policy.
Federal Medicaid Section 1115 Waiver
Regulatory Commission / State Agency Action
Some state health policy innovations operate primarily through regulatory bodies rather than through legislation. Maryland’s HSCRC is a quasi-independent regulatory commission with rate-setting authority — its day-to-day decisions are not made by the legislature. Regulatory adoption can be more technically precise and more insulated from electoral politics, but it depends on the commission’s statutory authority and on continued legislative and executive support. When the regulatory body’s authority is grounded in a federal waiver (as HSCRC’s is), the federal dimension of adoption must also be discussed.
Your adoption section should answer: who passed or authorized this policy, through what legal mechanism, what federal involvement was required and why, and what that mechanism means for the policy’s legal scope and durability. A paper that says “the policy was passed by the legislature” without explaining the federal waiver component — where one exists — is incomplete. Equally, a paper that spends the adoption section explaining political context without addressing the legal mechanism is answering a different question than the one asked.
The ERISA Preemption Problem — Vermont’s Critical Analytical Lesson
The Employee Retirement Income Security Act (ERISA) preempts state laws that regulate employer-sponsored health plans. This is the most significant federal constraint on state health policy innovation, and it is the reason Vermont’s single-payer plan could not be fully implemented without federal action. A Vermont employer sponsoring a self-insured health plan under ERISA was not subject to state insurance regulation — meaning Vermont could not require that plan to participate in Green Mountain Care’s financing structure. Your analysis of Vermont Act 48 must engage with ERISA preemption directly. The financing gap that Governor Shumlin cited when suspending implementation was not simply a political decision — it was a legal and structural barrier that any state attempting a comprehensive single-payer system would face. This is a central finding of the policy’s “impact” analysis, even though the system never launched.
Analyzing the Funding Structure — Where the Money Comes From and Why It Matters
The funding structure section answers three questions: where does the money come from, how is it allocated to providers or programs, and what financial mechanisms govern its use? These are not accounting questions — they are policy questions, because funding structure determines who bears the cost of the policy, which providers are incentivized or constrained, and how sustainable the policy is under fiscal pressure. A policy that is entirely funded by state general revenue is more politically vulnerable than one with a dedicated federal match. A policy that relies on an employer assessment creates different distributional effects than one funded by income taxes.
Maryland’s All-Payer Rate-Setting Funding Mechanism
- All payers — Medicare, Medicaid, private insurance, and self-pay — pay the same regulated rates for hospital services set by HSCRC
- This eliminates cost-shifting between payer types and gives the state leverage to negotiate global budgets with hospitals under the 2014 GBR model
- The GBR model assigns each hospital a fixed annual revenue cap — removing the fee-for-service incentive to increase volume
- Federal participation requires that Medicare spending growth in Maryland remains below national rate — the “savings test” that must be demonstrated to CMS for waiver renewal
- Funding sustainability depends on continued waiver compliance — if Maryland’s Medicare spending growth exceeds the national trend, CMS can modify or terminate the waiver
- The funding mechanism is the policy — rate regulation is not a funding source, it is the mechanism through which cost containment is achieved
Massachusetts Chapter 58 Funding Sources
- Federal Medicaid match (enhanced FMAP) for newly eligible Medicaid enrollees — the largest single funding source
- Employer Fair Share Contribution: employers with 11 or more employees who do not offer health insurance pay a per-employee assessment (initially $295/year, later modified)
- Individual mandate: people who can afford insurance but do not purchase it pay a tax penalty — generates revenue and drives enrollment
- State general revenue: supplements federal funds for Commonwealth Care subsidies for individuals above Medicaid eligibility but below income threshold for private insurance affordability
- The “free care pool” federal Medicaid waiver funds were redirected from uncompensated care reimbursement to subsidized coverage — this is the fiscal mechanism that made the reform possible at its launch
- Overall cost exceeded initial projections — state spending on health reform was consistently above estimates in the first five years, though coverage gains were also larger than projected
Vermont’s Funding Structure — Why It Failed Before Launch
Vermont’s Green Mountain Care was designed to be funded through an 11.5% payroll tax on employers and an income-based premium sliding scale for individuals. The projected cost of the system — approximately $2.5 billion per year — was equivalent to roughly 90% of Vermont’s existing state budget at the time, before accounting for the payroll tax revenue. The financing analysis commissioned by the state found that the required tax increases would be so large as to be politically and economically unviable for a small state. This is the central finding of Vermont’s funding structure analysis: a state-level single-payer system faces a fundamental financing problem because it cannot achieve the scale efficiencies or the risk pool size of a national system, and it cannot access the federal tax base. Your funding section for Vermont should explain this structural problem — it is not a story of political failure; it is a story of fiscal design constraints.
Evaluating the Statistical Impact — How to Use Evidence to Assess What the Policy Actually Did
The impact section is where your analysis must move from description to evidence-based evaluation. The assignment specifies “to the extent statistical data are available” — which means you are expected to find and use real outcome data, not to describe what the policy was intended to achieve. The sources for this data are specific: CMS waiver performance reports, state health department statistics, peer-reviewed studies in Health Affairs, NEJM, JAMA, and RAND publications, Commonwealth Fund state health system performance scorecards, and Urban Institute or Kaiser Family Foundation policy analyses.
Key Outcome Domains and Evidence Sources for Each Policy
Your impact evaluation should cover at minimum: cost/expenditure outcomes, coverage or access outcomes, and quality or utilization outcomes. Health equity outcomes should be included as a fourth domain where data exists.
Cost and Quality Outcomes Under Rate Setting
- Maryland’s hospital cost per admission grew more slowly than the national average for most of the waiver’s history — CMS waiver performance reports document this comparison annually
- Under the 2014 GBR model, Maryland saved Medicare approximately $429 million in the first five years relative to national trend — the CMS Innovation Center evaluation (Haber et al.) documents this
- Potentially preventable condition (PPC) admissions declined significantly under GBR — indicating improved care coordination and reduced avoidable hospitalizations
- Quality metrics including readmission rates and hospital-acquired conditions showed improvement post-GBR — though attributing causality to rate-setting specifically requires caution given concurrent quality improvement initiatives nationally
- Data limitation: Maryland’s all-payer model makes direct comparison to non-waiver states methodologically complex — studies use difference-in-differences designs to isolate policy effects
Coverage and Access Outcomes Post-Chapter 58
- Massachusetts’ uninsurance rate fell from approximately 10–13% pre-reform to approximately 2–3% within three years of implementation — the lowest in the nation and documented by Census Bureau CPS data and Massachusetts Division of Health Care Finance and Policy surveys
- Emergency department use for non-urgent conditions declined post-reform — consistent with improved primary care access
- Self-reported health status improved, particularly among low-income adults — documented in NEJM studies by Long et al. and subsequent analyses
- Health disparities: evidence is mixed — coverage gaps closed substantially for white and Black populations but coverage gains for Hispanic populations were smaller, partly due to immigrant eligibility restrictions in the state program
- Cost impact: Massachusetts’ healthcare spending per capita remained the highest in the nation post-reform — the law expanded coverage but did not address cost growth, a limitation your analysis must address directly
Process Outcomes and Lessons From Non-Implementation
- Vermont never implemented Green Mountain Care coverage, so clinical outcome data for the single-payer system itself does not exist
- The Green Mountain Care Board (GMCB), established under Act 48, remains operational and has produced documented cost containment results — Vermont’s all-payer ACO model (launched 2018 under separate federal agreement) grew from the GMCB infrastructure
- The Hsiao study (2011) commissioned by the Vermont legislature projected 25% administrative cost savings under single-payer — these projections were never validated against actual implementation data
- Economist analyses of the financing plan (notably Steen’s 2014 assessment) documented the fiscal gap that led to suspension — these are the primary impact documents for Vermont
- The Vermont experience produced a substantial academic literature on state-level single-payer feasibility — this literature is itself an “impact” of the policy, and citing it demonstrates engagement with the policy’s analytical significance beyond its operational outcome
When presenting statistical findings in your analysis, do not list numbers without interpreting them. Every statistic should be accompanied by a sentence explaining what it means for the policy’s goals. “Massachusetts’ uninsurance rate fell from 10% to 2.7% by 2009” must be followed by an analytical sentence: what does this achievement demonstrate about the effectiveness of the individual mandate and Medicaid expansion combined, and what does the persistence of high per-capita costs alongside near-universal coverage reveal about the limits of an access-only reform strategy?
Where to Find Credible Outcome Data
Your institution’s library databases are the starting point. Search Health Affairs, NEJM, JAMA, and Medical Care for studies on your chosen policy. For state-specific data, the Maryland HSCRC publishes annual performance reports at hscrc.maryland.gov. Massachusetts CHIA (Center for Health Information and Analysis) publishes annual cost trend reports and coverage surveys. The Commonwealth Fund’s State Health System Performance scorecard provides comparative state data across cost, access, quality, and equity dimensions. The CMS Innovation Center publishes formal evaluations of all waiver programs. For any policy with federal Medicaid waiver involvement, the Medicaid and CHIP Payment and Access Commission (MACPAC) produces policy analyses and data reports. These are primary and secondary sources appropriate for an academic policy analysis paper.
Writing the Ethical Outcome Evaluation — Evidence-Based, Not Philosophical
The ethical outcome evaluation is the component most frequently mishandled in student policy analysis papers. It is not a section where you state whether you believe the policy was a good idea. It is an evidence-based assessment of whether the policy’s real-world outcomes align with core ethical principles applied to health policy. The four principles framework — beneficence, non-maleficence, justice, and autonomy — provides the analytical scaffold. Each principle should be applied to the statistical outcomes you have already presented, not introduced as a separate philosophical discussion.
Beneficence — Did the Policy Produce Measurable Benefit?
Beneficence asks whether the policy actively produced health benefit for the population it was designed to serve. For Massachusetts, the coverage expansion produced documented beneficence outcomes: reduced uninsurance, improved self-reported health, better access to preventive care. For Maryland, the GBR model produced measurable reductions in preventable hospital admissions and hospital-acquired conditions. Beneficence is not established by the policy’s intentions — it is established by the evidence that benefits materialized. When outcome data is limited or contested, your beneficence analysis must acknowledge that uncertainty explicitly rather than asserting benefit without evidence.
Non-Maleficence — Did the Policy Cause or Permit Harm?
Non-maleficence asks whether the policy produced harms — intended or unintended — for any population. For Massachusetts, the individual mandate’s penalty structure imposed financial harm on uninsured individuals with low incomes who could not afford available plans despite the law’s subsidy structure — a documented policy gap. Maryland’s GBR model raised concerns about hospital access in rural areas under fixed budget caps. Vermont’s decision to suspend Act 48 left a population that had been promised coverage reform without the promised change — itself a form of policy harm measured in foregone benefits and planning costs incurred by providers who prepared for implementation. Non-maleficence analysis requires looking for who was disadvantaged by the policy, not only who benefited.
Justice — Were Benefits Distributed Equitably?
Justice asks whether the policy’s benefits reached the populations most in need, and whether its costs were distributed fairly. This is where racial and socioeconomic equity data become analytically central. For Massachusetts, the justice analysis must acknowledge that coverage gains were smaller for Hispanic residents — partly due to immigrant eligibility restrictions that left a documented gap. For Maryland, the justice question addresses whether the rate-setting model improved access for low-income and uninsured patients or primarily benefited commercially insured patients through cost containment. Justice analysis requires disaggregating outcome data by race, income, geography, and insurance type — aggregate improvements that mask persistent disparities do not satisfy a justice criterion.
Autonomy — Did the Policy Preserve or Constrain Choice?
Autonomy asks whether the policy preserved or expanded the ability of patients and providers to make meaningful choices about care. The individual mandate in Massachusetts directly constrained individual autonomy by requiring insurance purchase — a constraint justified on beneficence and justice grounds but still an autonomy cost that your analysis should name and evaluate. Maryland’s rate-setting constrains hospital pricing autonomy and could, under global budget caps, constrain service availability decisions. Vermont’s proposal would have eliminated the private insurance market for most residents — the largest autonomy constraint of the three examples. Autonomy analysis does not mean defending unconstrained market choice; it means evaluating what freedoms the policy limited, for whom, and whether the ethical justification was adequate.
What a Strong Ethical Evaluation Looks Like at the Sentence Level
A weak ethical evaluation states: “The policy was ethically sound because it expanded access to healthcare for low-income populations.” A strong one states: “Under the principle of justice, Massachusetts Chapter 58 made measurable progress — uninsurance fell by approximately 70% in the first three years and the gains were largest among adults with incomes below 300% of the federal poverty level. However, the law’s eligibility restrictions for non-citizen immigrants meant that approximately 150,000 long-term Massachusetts residents — documented by the Massachusetts Health Reform Survey — remained uninsured, creating a documented justice gap that subsequent state policy has partially but not fully addressed.” The difference is specificity, acknowledgment of limitation, and grounding every claim in evidence rather than assertion.
How to Structure Your Paper — Sources, Format, and Paragraph-Level Guidance
A policy analysis paper of this type typically runs between five and ten pages depending on instructor requirements. If no length is specified, aim for seven to eight pages of body text at double spacing — enough to cover all five components with analytical depth. Shorter papers tend to skip the statistical impact evidence or compress the ethical evaluation to a single paragraph; both produce incomplete analyses. The structure below organizes the five required components into a logical sequence that builds toward the ethical evaluation rather than treating it as an appendix.
One to two paragraphs. Name the policy, the state, the year of adoption, and its primary objective in specific terms. Avoid generic healthcare problem statements. End the introduction with a thesis-oriented sentence that previews your evaluation of the policy’s impact and ethical outcomes — signaling to the reader that you are writing an analysis, not a description. The introduction should be narrow enough that it could only describe this policy, not any state health reform.
Two to three paragraphs. The rationale paragraph explains the specific problem the policy addressed, with pre-policy data where available. The adoption paragraph explains the legal mechanism — state statute, federal waiver, regulatory commission authority — and any politically significant aspects of how passage was achieved. Do not conflate the rationale (why it was needed) with the adoption (how it was passed). These are analytically distinct and should be in separate paragraphs with separate evidence bases.
One to two paragraphs. Identify the specific funding sources — federal match, state general revenue, employer assessment, individual premiums, regulatory fee authority — and explain how each source works. Note any funding constraints or sustainability risks that are analytically relevant. For waiver-dependent funding, identify what conditions must be met for federal funds to continue. This section should be specific enough that a reader could understand the financial architecture of the policy without further research.
Two to four paragraphs. This is the analytical core. Present outcome data organized by domain: cost, coverage/access, quality, and equity. Cite specific studies and data sources. Interpret each finding — do not list statistics without explaining their significance for the policy’s goals. Acknowledge methodological limitations in the evidence base. Note where the data is strong and where it is contested or absent. The impact section should enable the reader to form a view about whether the policy achieved its objectives.
Two to three paragraphs of ethical analysis plus a concluding paragraph. Apply beneficence, non-maleficence, justice, and autonomy to the outcome evidence already presented. Do not restate the evidence — apply it. Each principle should be addressed with specific reference to documented outcomes and the populations they affected. Conclude with a qualified assessment of the policy’s overall achievement: what it accomplished, what it failed to achieve, and what its experience reveals about the possibilities and limits of state-level health policy innovation.
Source Requirements and Citation Standards
A policy analysis paper of this type should draw on a minimum of eight to twelve credible sources. The source mix should include: primary government documents (CMS waiver evaluation reports, state health department data, HSCRC annual reports), peer-reviewed academic studies (Health Affairs, NEJM, JAMA, Medical Care, Journal of Health Politics Policy and Law), and credible policy institute analyses (Commonwealth Fund, Urban Institute, Kaiser Family Foundation, RAND). Do not over-rely on newspaper sources for analytical claims — they can be used to establish political context but should not be the evidentiary basis for outcome claims. Wikipedia is not a citable source; however, the sources cited in Wikipedia policy articles are often legitimate starting points for finding the primary literature.
APA Citation Practices Specific to Policy Analysis Papers
Government reports (CMS evaluations, state health department publications) are cited as institutional author documents in APA: Centers for Medicare & Medicaid Services. (Year). Title of report. URL. The HSCRC annual reports follow the same format with Maryland Health Services Cost Review Commission as the institutional author. When citing a peer-reviewed study that presents statistical findings, include the page or paragraph number for any specific statistic you reference — this is especially important for precise figures like coverage rates, cost savings, and utilization changes. When two studies present conflicting findings on the same outcome, cite both and note the methodological difference that might explain the discrepancy — this demonstrates analytical judgment, not inability to find a single answer.
Common Errors in Policy Analysis Papers — and How to Avoid Them
| # | The Error | Why It Costs Marks | The Fix |
|---|---|---|---|
| 1 | Describing the policy’s goals as if they were its outcomes | The most common error. A paper that says “the policy aimed to reduce uninsurance and improve access” in the impact section has not evaluated impact — it has restated rationale. Impact requires evidence that goals were or were not achieved, not a description of what they were. | Before writing the impact section, write down three specific outcome claims you can make and cite. If you cannot identify three evidence-based outcome claims, you have not completed sufficient research. Every sentence in the impact section should be traceable to a data source, a study, or a government report — not to the policy’s enabling legislation. |
| 2 | Treating the ethical evaluation as a personal opinion section | Phrases like “I believe this policy was ethical because…” or “in my opinion, the policy was unfair to…” are not policy analysis — they are personal commentary. The ethical evaluation is an evidence-based assessment, not a values statement. Papers that use first-person opinion framing in the ethical section signal that the student misunderstands what the assignment requires. | Apply each ethical principle to specific outcome findings from the impact section. “Under the principle of justice, the evidence shows…” and then cite data. The ethical evaluation is a structured analytical exercise, not an opinion piece. Every claim should be supportable by pointing to a documented outcome and explaining why it satisfies or violates the principle being applied. |
| 3 | Conflating the adoption mechanism with the policy’s content | The adoption section should explain how the policy became law, not what the policy does. Many papers spend the adoption section describing the policy’s provisions — which belongs in the rationale or impact sections — while never identifying whether a federal waiver was required, what legislative majority passed it, or what legal constraints govern it. | Write the adoption section by answering: what was the legal vehicle (bill, waiver, executive order, regulatory rulemaking), who had authority to approve it, what federal involvement was required, and what the approval process’s timeline was. The policy’s content is addressed elsewhere; the adoption section addresses the mechanism and its implications for legal scope and durability. |
| 4 | Using only one type of source for the entire paper | Papers built primarily on news articles or advocacy organization reports lack the evidentiary credibility of papers that use peer-reviewed studies and government data. Conversely, papers that cite only one or two academic studies without engaging with government data or policy institute analyses are narrowly sourced. Instructors in health policy courses expect a source mix that demonstrates genuine research engagement. | Deliberately build a source mix. At least two sources should be peer-reviewed academic studies. At least one should be a government report or waiver evaluation. At least one should be a credible policy institute analysis. If your bibliography consists entirely of newspaper articles and advocacy reports, you have not engaged adequately with the evidence base the assignment requires. |
| 5 | Applying only positive ethical principles — ignoring non-maleficence and autonomy costs | Every significant health policy reform involves tradeoffs. A paper that evaluates only the beneficence and justice benefits without engaging with non-maleficence risks (who was harmed or disadvantaged) and autonomy costs (what choices were constrained) is presenting a one-sided ethical analysis. Real policy analysis acknowledges that tradeoffs exist and evaluates whether they were justified, not whether the policy was perfectly ethical. | For every policy finding you present as a benefit, ask: who bore the cost of this benefit, and was that cost justified? For Massachusetts, the individual mandate’s financial penalties fell hardest on the uninsured with the lowest incomes — a non-maleficence concern that must be addressed even in a paper sympathetic to the reform’s coverage goals. Acknowledging ethical costs and arguing they were justified by larger benefits is stronger analysis than pretending the costs did not exist. |
| 6 | Ignoring the equity dimension of impact and ethical evaluation | Aggregate outcome improvements — average cost growth, overall uninsurance rate — can mask persistent or widening disparities by race, income, geography, or insurance type. A policy analysis that reports only aggregate figures without disaggregating by population subgroup is analytically incomplete and ethically shallow. Both the impact section and the justice evaluation require disaggregated data where it exists. | For each major outcome finding, ask: do the studies you are citing report results by race, income, and geography? If they do, incorporate those findings. Massachusetts’ Hispanic coverage gap, Maryland’s rural access concern, and Vermont’s analysis of which workers would face the highest payroll tax burden are all equity-relevant findings that belong in the analysis. If your sources do not report disaggregated data, note that as a limitation of the evidence base. |
FAQs: State Health Policy Reform Analysis Assignment
What a Strong Policy Analysis Paper Demonstrates
This assignment is testing your ability to move from description to analysis. A strong paper demonstrates that you can identify a specific policy intervention, explain the conditions that produced it, trace the mechanism through which it was authorized, understand its financial architecture, evaluate its outcomes using real evidence, and apply an ethical framework to those outcomes — all as a connected, sequential analytical argument rather than five separate paragraphs on five separate topics.
The papers that score highest treat the five components as a causal chain: the rationale explains why something needed to change; the adoption mechanism explains how change was authorized and what legal constraints that authorization created; the funding structure explains who finances the change and under what conditions; the impact section evaluates what the change produced; and the ethical evaluation asks whether what it produced was sufficient, equitable, and justified. Every section should make the next section more analytically grounded.
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