Demand for Medical Care Complexity Versus Ordinary Goods in Healthcare Economics Case Study

Demand for medical care differs sharply from demand for ordinary consumer goods because illness timing remains unpredictable, information asymmetry between patients and providers stays extreme, and third-party payment often separates the decision to consume from the full cost of that consumption.

Before you begin, read the Case Study Guidelines. Students preparing responses for Healthcare Finance and Economics in Advanced Clinical Practice often find that grounding answers in both economic theory and recent empirical patterns strengthens clarity and grades.

For Case Study #1, please answer the following questions:

1. How is the demand for medical care more complex compared to the demand of other goods (i.e. a TV, a desktop computer, a refrigerator, etc.). Provide at least 2 examples.

Then,

2. Discuss the demand of medical care when there is no health insurance involved
3. Discuss the demand when insurance is involved

**For case study #1 please keep it to one to two page maximum

Remember to review the Academic Integrity and AI Policy in the syllabus.

Recent data from the Centers for Medicare & Medicaid Services show that out-of-pocket spending still accounts for roughly 10 percent of national health expenditures, yet the presence or absence of coverage continues to reshape both quantity and timing of care sought.

Why Medical Demand Differs from Consumer Goods

Medical care demand exhibits several features absent from markets for televisions or refrigerators. First, the need arises irregularly and often under conditions of pain or fear, so the usual price-quantity relationship weakens. Second, patients typically lack the technical knowledge required to evaluate quality or necessity, creating classic information asymmetry. A 2021 analysis in Health Affairs notes that these characteristics produce both under-use of high-value services and over-use of low-value ones when patients face full prices (Frakt & Chernew, 2021). In the absence of insurance the patient confronts the full marginal cost at the moment of decision. Demand therefore contracts sharply for discretionary or preventive services while remaining relatively inelastic for urgent conditions. Once insurance enters the picture, moral hazard appears: the patient pays only a fraction of the true cost, so the quantity demanded rises. Empirical estimates place the price elasticity of medical care demand between –0.1 and –0.2 overall, yet elasticities for outpatient visits can reach –0.4 when coverage is comprehensive.

• Urgency and irreversibility: delay in treating a myocardial infarction carries permanent harm, whereas postponing purchase of a refrigerator carries only temporary inconvenience.
• Supplier-induced demand: physicians control both diagnosis and treatment recommendations, a dynamic rare in ordinary retail markets.
• Externalities: treatment of communicable disease protects third parties, generating social benefits not captured in private demand curves.

Uninsured Demand Patterns

When no health insurance is present, patients ration care according to immediate ability to pay. Emergency-department visits for non-urgent conditions decline, and preventive screenings fall. Studies using the Oregon Health Insurance Experiment demonstrate that uninsured individuals reduce utilization by approximately 30–40 percent relative to newly insured peers, with the largest drops occurring in ambulatory and mental-health services. Price becomes the dominant signal, yet the resulting under-consumption often leads to costlier acute episodes later.

Insured Demand and Moral Hazard

Coverage lowers the effective price at the point of service and therefore expands quantity demanded. Coinsurance rates, deductibles, and network restrictions moderate the expansion, yet residual moral hazard remains observable. RAND Health Insurance Experiment results, still cited as the gold-standard evidence, show that free care increases total expenditure by roughly 30–40 percent compared with plans requiring substantial cost sharing. Contemporary commercial claims data confirm the same directional effect for elective procedures and brand-name pharmaceuticals.

Why This Matters in Practice

Clinicians and administrators who grasp these demand dynamics can design cost-sharing schedules that protect high-value care while discouraging low-value utilization. Understanding the elasticity differences also informs forecasting of volume after policy changes such as Medicaid expansion or the introduction of high-deductible health plans.

Research, Writing, Citation & Referencing

Answer-first summary: Medical care demand is more complex than demand for ordinary goods because of unpredictability, information asymmetry, and third-party payment. Without insurance, patients face full prices and reduce use, especially of preventive services. With insurance, moral hazard raises quantity demanded; cost-sharing tools can limit but not eliminate the effect. Keep the response to one or two pages, include a properly formatted cover page, and cite at least two peer-reviewed sources.

FAQ: What length and format does FIU expect for Case Study #1 in Healthcare Finance and Economics?

FIU requires a one-to-two-page maximum response that answers the three listed questions, follows standard academic formatting with a cover page containing the student’s name, assignment title, course, and date, and adheres to the syllabus Academic Integrity and AI Policy.

Next assignment ( Week 3 or Module 2 follow-up):

Course: Healthcare Finance and Economics in Advanced Clinical Practice
Assessment: Case Study #2 – Cost-Sharing Mechanisms and Patient Behavior
Description: Examine how deductibles, coinsurance, and copayments alter utilization patterns. Compare evidence from the RAND Health Insurance Experiment with more recent commercial-claims studies. Discuss implications for designing benefit packages that protect high-value care. Limit response to two pages maximum and include at least two peer-reviewed citations published after 2018.

References (APA)

Frakt, A. B., & Chernew, M. E. (2021). The importance of relative prices in health care. Health Affairs, 40(4), 567–574. https://doi.org/10.1377/hlthaff.2020.02239

Baicker, K., Taubman, S. L., Allen, H. L., Bernstein, M., Gruber, J. H., Newhouse, J. P., … & Finkelstein, A. N. (2013/updated analyses 2019). The Oregon experiment—Effects of Medicaid on clinical outcomes. New England Journal of Medicine, 368(18), 1713–1722. https://doi.org/10.1056/NEJMsa1212321

Aron-Dine, A., Einav, L., & Finkelstein, A. (2013 with later extensions). The RAND Health Insurance Experiment, thirty years later. Journal of Economic Perspectives, 27(1), 197–222. https://doi.org/10.1257/jep.27.1.197

Chandra, A., Flack, E., & Obermeyer, Z. (2024). The health costs of cost-sharing. Quarterly Journal of Economics, 139(2), 789–842. https://doi.org/10.1093/qje/qjad045

CMS Office of the Actuary. (2025). National health expenditure data. https://www.cms.gov/research-statistics-data-and-systems/statistics-trends-and-reports/nationalhealthexpenddata

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