Questions: Healthcare Regulation and Quality Incentives

Question 1

Fee-for-service payment incentivizes physicians to provide more services, while capitation (a fixed payment per patient per period) incentivizes fewer services. Pay-for-performance (P4P) was designed to solve this by rewarding measurable quality outcomes. What is the main limitation of P4P programs as implemented?

• A. Physicians refuse to participate in P4P programs
• B. Quality is multidimensional and difficult to measure; P4P programs reward what is measurable (process metrics like screening rates, intermediate outcomes like HbA1c levels) while potentially neglecting unmeasured dimensions (diagnostic reasoning, patient-centered communication, care coordination), creating a 'teaching to the test' problem where measured metrics improve but overall care quality may not
• C. P4P bonuses are too large and cause physicians to over-treat
• D. Patients prefer fee-for-service and refuse to see P4P physicians

Answer: (B)

The fundamental challenge of P4P is Goodhart's Law: when a measure becomes a target, it ceases to be a good measure. If physicians are rewarded for achieving HbA1c < 7% in diabetic patients, they may intensify medication in patients near the threshold (where the marginal health benefit is small) while neglecting harder-to-measure aspects of diabetes management like foot care education, mental health screening, or addressing social determinants. Systematic reviews of P4P programs (including the UK's Quality and Outcomes Framework, the largest P4P program globally) find modest improvements in targeted process measures but little evidence of improvement in patient outcomes (mortality, hospitalization) and some evidence of neglect of unrewarded activities. The lesson is not that quality incentives are useless but that they must be designed carefully, updated regularly, and combined with other quality improvement strategies.

Question 2

Certificate-of-need (CON) laws, which require hospitals to obtain state approval before expanding capacity or adding services, were originally intended to control healthcare costs by preventing duplicative investment. Economists generally argue these laws have the opposite effect.

• T. True
• F. False

Answer: True

CON laws were enacted in the 1970s under the theory that excess hospital capacity drives up costs (Roemer's Law: 'a built bed is a filled bed'). The economic critique is that CON laws function as barriers to entry that protect incumbent hospitals from competition, allowing them to maintain higher prices and resist efficiency improvements. Empirical evidence supports this: states that repealed CON laws experienced increased hospital entry, greater competition, and in some studies lower costs per admission without measurable quality declines. Incumbent hospitals lobby aggressively to maintain CON requirements because the laws protect their market power. The FTC and DOJ have repeatedly recommended repeal. This is a case where a regulation intended to address a market failure (cost inflation) instead creates a government failure (anticompetitive entry barriers) — a common pattern in healthcare regulation.

Question 3

Explain why public reporting of hospital quality data (e.g., mortality rates, readmission rates, patient satisfaction scores) might not improve quality as effectively as economic theory predicts.

Model answer: Economic theory predicts that public quality reporting enables informed consumer choice, creating competitive pressure for hospitals to improve. In practice, several barriers limit this mechanism: (1) Most patients do not use quality data when choosing hospitals — they rely on physician referrals, proximity, insurance network, and reputation. Studies show that less than 10% of patients consult publicly reported quality metrics. (2) The metrics may not reflect what patients value — a hospital might have excellent mortality statistics but poor communication and long wait times. (3) Risk adjustment is imperfect, so hospitals that treat sicker patients may appear to perform worse, creating incentives to avoid high-risk patients (cream-skimming or risk selection). (4) Quality data is often presented in formats that are difficult for patients to interpret — statistical confidence intervals, composite scores, and relative rankings are not consumer-friendly. (5) In many markets, patients have limited hospital choice due to geography or insurance networks, reducing competitive pressure regardless of information availability.

Public reporting does have measurable effects, but they operate primarily through provider reputation concerns (hospitals respond to being publicly identified as low-quality) rather than patient choice. The evidence suggests that providers care about their public rankings — hospital boards and administrators respond to unfavorable public reports — even when patients largely ignore the data. This provider-reputation channel may ultimately be more important than the consumer-choice channel that economic theory emphasizes.

Question 4

The shift from fee-for-service to value-based care in the US (through programs like Medicare's MSSP ACOs, bundled payments, and MACRA/MIPS) aims to align payment with outcomes. Why has this transition been slower than policymakers expected?

Model answer: Several structural factors slow the transition: (1) Fee-for-service is deeply embedded in billing infrastructure, electronic health records, and organizational culture — the administrative retooling required for value-based payment is enormous and expensive. (2) Risk aversion — providers accepting capitated or bundled payments bear financial risk for patient outcomes they cannot fully control (social determinants, patient adherence), and many organizations lack the actuarial capacity or financial reserves to manage this risk. (3) Attribution problems — assigning a patient to a responsible provider organization is technically difficult when patients see multiple providers across multiple systems. (4) Measurement burden — value-based programs require extensive quality reporting that imposes administrative costs, sometimes exceeding the financial incentives. (5) Political economy — specialists and proceduralists whose income depends on volume resist payment reforms that would reduce utilization. (6) The evidence that existing value-based programs produce meaningful cost savings or quality improvement is mixed, weakening the case for faster adoption.

The fee-for-service to value-based transition illustrates a general principle: even when the theoretical case for reform is strong, implementation faces path dependency (existing infrastructure favors the status quo), agency problems (those who must implement the change may be those who lose from it), and measurement challenges (defining and measuring 'value' in healthcare is genuinely hard). Incremental reform with demonstrated results may be more achievable than rapid transformation.