. Author manuscript; available in PMC: 2019 Oct 1.

Published in final edited form as: Med Care Res Rev. 2012 Oct 2;70(2):185–205. doi: 10.1177/1077558712459681

Table 4:

Regression Estimates of the Association between CON and Length of Stay and Complications for CABG and PCI

	CABG		PCI
	Length of Stay (1)	Stroke (2)	Length of Stay (3)	CABG after PCI (4)
After CON dropped	−0.294 (−1.62)	−0.103^* (−2.15)	0.083 −0.86	0.108 −1.54
New Post-CON Facility	−0.971^**(−3.08)	0.043 0.41	0.015 (0.1)	−0.153 (−1.12)
PCI Volume			−0.0008 (−1.73)	0.0002 −0.82
PCI Volume²			2.37E-07 −0.38	−7.60E-07 (−1.67)
PCI Volume³			8.14E-11 −0.36	2.54E-10 −1.32
Ln(Hospital Volume)	−0.078 (−0.81)	0.01 −0.55
HMO Penetration	−1.267^* (−2.54)	0.241^* 2.31	−0.457^* (−2.29)	0.148 −1.05
Hospital Market Concentration	−0.886^** (−4.11)	−0.005 (−0.11)	−0.289^** (−2.86)	−0.029 (−0.40)

Regressions include indicator variables for each sample year, sex, age, race, transfer patient, urgent and emergent admissions, principal diagnosis of AMI, Elixhauser comorbidities, as well as income, a constant, and state-level fixed effects. CABG regressions also include indicators for same-day PCI, same-day cardiac catheterization, and use of an intra-aortic balloon pump on the day prior to CABG. PCI regressions also include indicators for multivessel PCI and coronary stent placement.

Sample Size = 1,428,105

p-value≤.05

^**

p-value≤.01