Powzun-Palczuk · Frontiers in public health 2026 · cross-sectional comparative clustering study · n=21 countries

Ranking and clustering G20 healthcare systems: a framework for U.S. reform.

Cited 2 times in the scientific literature.

Level 4 - case-series / case-control

Cross-sectional comparative analysis of aggregate national data (by design analogy, not clinical CEBM)

PubMed 42040123 · doi:10.3389/fpubh.2026.1810123 · record verified 2026-08-27

What was done

The authors evaluated and compared healthcare system performance across G20 nations and Poland using 34 standardised indicators of health outcomes, infrastructure, workforce capacity, and disease burden from WHO, OECD, and national databases. Indicators were normalised using Z-scores, and hierarchical cluster analysis via Ward's method was used to group countries into five performance tiers.

What was found

The abstract reports no specific numerical values, point estimates, or exact rankings. Qualitatively, higher GDP per capita (PPP) was associated with better outcomes, though financial resources alone were insufficient. Japan, South Korea, and Australia formed the highest-performing group. The United States underperformed relative to most high-income systems despite having the highest healthcare spending.

Why it matters

This study provides cross-national comparative evidence that high spending alone does not yield superior health outcomes, pointing to regulated insurance markets, structured cost-sharing, and primary care strength as key structural factors.

Limits

The analysis is cross-sectional and ecological, relying on aggregate country-level indicators that cannot prove causality. The abstract reports no numerical metrics, effect sizes, or confidence intervals, and variations in reporting standards across national databases may introduce confounding.

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