Chris L. Peterson · University of North Texas Digital Library (University of North Texas) 2008 · cross-sectional comparative policy report · n=30 OECD countries

The U.S. Health Care Spending: Comparison With Other OECD Countries

Cited 62 times in the scientific literature.

Level 4 - case-series / case-control

Cross-sectional comparative analysis of aggregate country-level data (graded by design analogy for non-clinical scholarship).

OpenAlex W1494327409 · record verified 2026-08-28

What was done

This report analyzed cross-sectional 2004 health data across 30 OECD member nations to compare healthcare expenditures, service utilization, prices, access, and outcomes between the United States and other advanced democracies.

What was found

In 2004, US per capita healthcare spending was $6,102 (15.3% of GDP), compared to the OECD average of 8.9% of GDP and the second-highest spenders, Luxembourg ($5,089 equivalent, spending 19.9% less per capita) and Switzerland (11.6% of GDP). The US had fewer doctor visits per capita and lower hospitalization rates than OECD averages, with comparable lengths of stay. However, the US performed more invasive procedures (such as coronary bypasses and angioplasties), used more new medical technologies, and had significantly higher medical prices. For outcomes, the US had shorter-than-average life expectancy, higher-than-average mortality rates, the highest obesity rates, and the highest incidence of cancer and AIDS in the OECD. Americans also experienced more difficulty obtaining same-day or after-hours care and were most likely to delay or forgo care due to cost, though non-emergency surgical wait times were shorter.

Why it matters

It demonstrates that higher US healthcare spending is driven by medical prices and high-intensity interventions rather than routine visit volume, without yielding superior aggregate health outcomes or access.

Limits

The analysis relies on aggregate, country-level observational data from a single year (2004), precluding causal inference. International comparisons are confounded by lifestyle factors (e.g., obesity prevalence), baseline disease incidence, and differences in national health system structures and data reporting standards.

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