Table 5.

Falsification test of rehospitalization rates using pseudo-CON status

	raw mean	adjusted		baseline fixed effects model
	non-CON	marginal effect	P value	marginal effect	P value	%Δ
Rehospitalization by days from hospital discharge
Rehospitalization Rate for hospital discharges to home health (N=89,989 - 88.2% CON, 56 HRRs)
0 - 60	0.1709	−0.0035	0.461	0.0002	0.965	0.1%
60 - 120	0.0896	−0.0020	0.556	−0.0008	0.822	−0.9%
0 - 120	0.2451	−0.0051	0.382	−0.0005	0.936	−0.2%
Preventable Rehospitalization Rate
0 - 60	0.0406	−0.0029	0.311	−0.0023	0.425	−5.5%
60 - 120	0.0241	−0.0020	0.295	−0.0022	0.227	−9.1%
0 - 120	0.0638	−0.0048	0.223	−0.0043	0.228	−6.7%

Control variables: Patient demographics are age, sex, race. Patient case-mix are 28 comorbidities and 103 DRGs. Hospital Characteristics are hospital type, bed size, and medical school affiliation. Market characteristics are percent college educated, median household income, population, % population over 65, density, hospital beds, SNF certified beds, and Hospital CON. Use of home health by Medicaid, % HMO beneficiaries in the county.

Regression models: Rehospitalizations are estimated with a linear probability model with standard errors estimated based on clustering by HRR.