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. 2019 Nov 29;19:275. doi: 10.1186/s12872-019-1264-3

Table 2.

Regression analysis of CABG and PCI rates

Variables CABG rate PCI rate
Coefficient 95% CI Coefficient 95% CI
Lower bound Upper bound Lower bound Upper bound
Baseline (intercept) 9.095 .434 17.756 170.672 −4.021 345.365
District-level
 Deprivation index −.272** −.457 −.087 3.077 −.403 6.556
 Log (population size) −.378 −2.085 1.329 −5.943 −37.995 26.109
 No. of primary care physicians per 100,000 .007 −.025 .039 .118 −.244 .480
 PCI rate (CABG rate1) .002 −.010 .013 −1.478 −4.462 1.506
Hospital service area-level
 No. of CABG (PCI2) .001 .000 .002 −.002 −.004 .000
 No. of cardiothoracic surgeons in general hospitals per 100,000 −.354 −2.054 1.346 −65.534** − 106.809 − 24.260
 No. of cardiologists in general hospitals per 100,000 .141 −.836 1.117 2.644 −18.122 23.411
 No. of beds in general hospitals per 1000 −.386 −1.090 .317 59.406*** 37.910 80.902
 R2 .115 .402

**p < 0.01, ***p < 0.001, CABG and PCI rates are per 100,000 persons aged 20 and over. 1. For the regression analysis with the dependent variable of PCI rate, CABG rate was used as an independent variables. 2. For the regression analysis with the dependent variable of PCI rate, the number of PCI in the hospital service areas was used