| Course | HCM 320 Healthcare Economics |
|---|---|
| Module | Module 4 |
| Paper type | undergraduate project analyzing a healthcare pricing policy |
| Length | About 1,010 words, 6 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | BS Healthcare Administration |
| Updated | September 2026 |
Free sample paper for HCM 320 Module 4
Project One: The Economics of Valley's Sliding Fee Scale
[Student Name]
Southern New Hampshire University
HCM 320: Healthcare Economics
Project One
[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.
Project One: The Economics of Valley's Sliding Fee Scale
Federally qualified health centers must offer discounts to patients with low incomes. At Valley Community Health Center, about 5,200 of 22,000 patients are uninsured, and most pay on the sliding fee scale. The scale is usually discussed as a mission requirement. This project looks at it as an economic policy: what prices it sets, how people respond, what it costs and whether it could work better.
How the Scale Works
Patients with household incomes at or below the federal poverty level pay a nominal fee of $20 per visit. The fee rises through three bands between 100% and 200% of poverty and reaches the full charge, which averages $145, above 200%. Patients must document income each year. The average cost of delivering a visit is about $185, so every uninsured visit is subsidized, mainly by federal health center grants.
Table 1. Valley's Sliding Fee Scale and Uninsured Visits
| Income band (percent of poverty) | Fee per visit | Uninsured visits last year | Share of visit cost covered by fee |
|---|---|---|---|
| At or below 100% | $20 | 11,800 | 11% |
| 101% to 133% | $35 | 2,900 | 19% |
| 134% to 166% | $50 | 1,700 | 27% |
| 167% to 200% | $70 | 1,100 | 38% |
| Above 200% | $145 (full fee) | 500 | 78% |
Note. Composite data; average cost per visit about $185.
Price Discrimination by Ability to Pay
Charging different prices to different buyers for the same service is called price discrimination. Businesses often use it to capture more revenue from customers willing to pay more. The sliding scale uses it for the opposite purpose: to lower the price for people with less ability to pay, so that price does not keep them from care. Because demand for care is more price-sensitive among low-income patients, lower prices for them expand access where it matters most.
Why Access Matters Economically
Hadley (2003) reviewed decades of research and concluded that uninsured people receive less preventive and primary care, are diagnosed later and have worse health outcomes, with consequences for their work and income. Sommers et al. (2017), summarizing more recent evidence, found that gaining coverage increases access to care, improves financial security and is associated with better self-reported health and lower mortality. For uninsured patients, the sliding scale partly substitutes for coverage by keeping the price of primary care low.
Notches at the Band Edges
Stepped bands create notches, points where a small increase in income produces a large jump in price. A family at 100% of poverty pays $20 per visit; a family earning a few dollars more pays $35, a 75% increase. A patient with diabetes who visits eight times a year would pay $120 more annually after a raise of perhaps $200. Economists worry that notches discourage people from reporting income increases and create unfairness between families with nearly identical incomes.
Visible Effects at Valley
Front-desk staff report that patients near band edges sometimes delay recertifying income or ask whether a small raise will change their fee. Visits per patient drop by about 12% between the lowest band and the next, a pattern consistent with price sensitivity at the notch, although other differences between the groups could contribute.
The Cost of Verifying Income
Verification has costs. Staff spend an average of fourteen minutes per patient reviewing pay stubs and tax documents, about 1,200 staff hours a year, or roughly $26,000 in wages. Patients bear costs too, gathering documents and sometimes returning with them, which can delay care. Some patients who qualify for the lowest band are charged the full fee because they lack documentation on their first visit.
Revenue and Subsidy
Uninsured visits generated about $550,000 in fee revenue last year against a delivery cost of about $3.3 million, leaving about $2.75 million covered by grants and other revenue. Changes to the scale should be judged by their effect on access and on this subsidy.
Who Benefits and Who Pays
The scale's benefits flow mainly to patients below 133% of poverty, who make about 85% of uninsured visits and pay less than a fifth of the cost. Its costs are borne by federal taxpayers through health center grants, by the center's other payers through cross-subsidy and, indirectly, by patients whose fees rise at band edges. From an equity standpoint, the scale is strongly progressive: the lower a patient's income, the larger the share of cost covered by others. The design question is not whether to subsidize but how to do it with fewer distortions and less administrative friction.
A Smoother Scale
Replacing the four discount bands with smaller steps, for example $5 increases for every ten percentage points of poverty, would shrink the notches. A family crossing 100% of poverty would move from $20 to $25 rather than to $35. Modeling suggests the change would reduce fee revenue by about $18,000 a year while reducing the drop in visits at the first band edge.
Pairing the Scale With Coverage
About 40% of Valley's uninsured patients appear eligible for Medicaid or subsidized marketplace coverage but are not enrolled. Enrolling them would bring in far more revenue per visit than any fee change. According to Nocon et al. (2016), Medicaid enrollees whose usual source of care was a health center cost the system less overall than comparable enrollees, suggesting coverage paired with health center care is good value for the system as well as patients.
Simplifying Verification
The center could accept self-attestation of income for the first visit with documentation within sixty days, use a single annual recertification timed to tax season and allow electronic document upload. These changes would reduce staff time and patients' burden while maintaining program integrity.
Recommendations
Valley should smooth its fee scale into smaller steps, simplify income verification, assign a certified enrollment counselor to screen every uninsured patient for coverage and track visits per patient by band to monitor price effects.
Conclusion
Seen through economics, the sliding fee scale is price discrimination in the service of access. It works, but its stepped design creates notches and its verification process adds costs for staff and patients. A smoother scale, simpler verification and active coverage enrollment would make it fairer and more efficient. The changes can begin within one budget cycle.
References
Hadley, J. (2003). Sicker and poorer: The consequences of being uninsured. A review of the research on the relationship between health insurance, medical care use, health, work, and income. Medical Care Research and Review, 60(2 Suppl.), 3S-75S. https://doi.org/10.1177/1077558703254101
Nocon, R. S., Lee, S. M., Sharma, R., Ngo-Metzger, Q., Mukamel, D. B., Gao, Y., White, L. M., Shi, L., Chin, M. H., Laiteerapong, N., & Huang, E. S. (2016). Health care use and spending for Medicaid enrollees in federally qualified health centers versus other primary care settings. American Journal of Public Health, 106(11), 1981-1989. https://doi.org/10.2105/AJPH.2016.303341
Sommers, B. D., Gawande, A. A., & Baicker, K. (2017). Health insurance coverage and health: What the recent evidence tells us. New England Journal of Medicine, 377(6), 586-593. https://doi.org/10.1056/NEJMsb1706645
What the HCM 320 Module 4 instructions ask for
Project One in HCM 320 usually asks you to analyze a healthcare pricing or payment policy using economic concepts. Plan for four to six pages in APA 7. Describe the policy and its data, explain it with at least two concepts from the course, such as price discrimination, elasticity or incentives, and estimate its costs and effects with numbers where possible. Identify unintended effects, propose improvements with rough estimates of their impact and support your analysis with studies on access, coverage or prices. HCM 320 graders notice clean headings in HCM 320 papers. HCM 320 names and dates need checking before HCM 320 submission. HCM 320 prompts vary by term, so recheck HCM 320 directions. A table of the policy's structure and outcomes helps readers follow the analysis.
How this HCM 320 Module 4 project one example is built
This project analyzes a composite health center's five-band sliding fee scale, shown in a table with visits and cost coverage by band. It explains the scale as price discrimination by ability to pay, identifies a 75% fee jump at the first band edge and estimates verification costs of about $26,000 a year. Hadley and Sommers, Gawande and Baicker show why access matters, Nocon and colleagues support coverage enrollment and recommendations include a smoother scale and simpler verification. HCM 320 students can reuse this structure for HCM 320 work. HCM 320 claims here trace to cited HCM 320 sources. HCM 320 readers can adapt each section to HCM 320 data. Verification changes and a monitoring plan round out the recommendations.
Where the HCM 320 Module 4 rubric puts the points
In HCM 320, graders of policy projects look for a faithful description of the policy, correct use of economic concepts, quantitative reasoning, identification of incentives and unintended effects, evidence-based discussion of consequences, realistic recommendations, scholarly support and APA 7. Strong projects estimate the impact of proposed changes rather than simply asserting them. Credit falls when concepts are misapplied, when numbers are missing or when recommendations ignore costs. HCM 320 marks favor careful formatting across HCM 320 sections. HCM 320 citations keep every HCM 320 argument credible. HCM 320 instructors weigh evidence heavily in HCM 320 grading. Clear links between each concept and the policy's details are rewarded.
HCM 320 Module 4 help: the mistakes that cost points
Policy projects in this course often describe a policy without analyzing it, use economic terms loosely or propose changes with no estimate of effects. Another common gap is ignoring administrative costs and incentives such as notches. Describe the policy with data, apply two or three concepts carefully, look for unintended effects, estimate what changes would do and cite evidence. Share the policy you are analyzing and the HCM 320 prompt so the project fits your assignment. HCM 320 drafts start well from a HCM 320 outline. HCM 320 feedback already received guides HCM 320 revisions. HCM 320 rubrics posted in Brightspace clarify HCM 320 expectations. Label estimates as approximate and explain their basis.
Get HCM 320 Module 4 written to your instructions
Send the HCM 320 Project One prompt and the pricing or payment policy you want to analyze. The project will describe it with data, apply economic concepts, identify incentives and costs and recommend improvements with estimates, 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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HCM 320 Module 4 questions, answered
Where can I find a free HCM 320 Module 4 Project One sample?
HCM 320 Module 4 Project One is reproduced here, analyzing a health center sliding fee scale as price discrimination with notches, costs and fixes.
What is price discrimination?
Charging different prices to different buyers for the same service, here based on ability to pay.
What is a notch in a fee scale?
A point where a small increase in income causes a large jump in the price a person pays.
Why do health centers use sliding fee scales?
Federal rules require discounts for low-income patients so that price does not block access to primary care.
How can a sliding scale be improved?
Using smaller steps, simplifying income verification and helping eligible patients enroll in coverage.