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. Author manuscript; available in PMC: 2008 Apr 16.
Published in final edited form as: J Polit Econ. 2007;115:103–140. doi: 10.1086/512249

Table 4.

Correlation of HRR Level Measures of Intensive Treatment, Medical Management, Support of Medical Treatment and Demographic Characteristics

HRR indicator Mean SD 10th percentile 90th percentile Correlation with HRR CATH rate
Measures of intensive treatment
Risk-adjusted 30-day CATH rate 46.3% 9.1% 34.5% 58.3% 1.00
Risk-adjusted 30-day PTCA rate 17.7% 5.1% 11.3% 23.6% 0.81
Risk-adjusted 30-day CABG rate 13.4% 2.9% 10.2% 16.9% 0.51
Risk-adjusted 12-hour PTCA rate 2.7% 2.6% 0.6% 5.8% 0.52
Measures of Quality of medical management
Risk-adjusted β-blocker rate 45.6% 9.5% 34.2% 58.3% 0.31
Support for intensive treatment
Cardiovascular Surgeons per 100,000 1.06 0.27 0.70 1.40 0.33
Cath Labs per 10,000 2.40 0.76 1.50 3.30 0.39
Demographic characteristics
log of resident population 13.96 0.89 12.72 15.18 0.05
log of per capita income 9.55 0.20 9.31 9.85 0.02
Percent College graduates 19.3% 5.5% 13.1% 26.6% 0.05

Notes: HRR surgical and medical intensity rates are computed as the risk-adjusted fixed effects from a patient level regression the receipt of CATH or beta-blockers on HRR fixed effects and CCP risk-adjusters. CATH propensity is an empirical measure of patient appropriateness for intensive treatments. We define this measure by using fitted values from a logit model of the receipt of cardiac catheterization on all the CCP risk-adjusters.