. 2008 Mar;86(1):91–123. doi: 10.1111/j.1468-0009.2007.00514.x

TABLE 5.

Odds Ratios for Changes in Charity Care and Acceptance of All New Medicaid Patients

	Change in Charity Care		Change in Acceptance of New Medicaid Patients
Variable	Dropped charity care in T2^a	Added charity care in T2^b	Stopped accepting new Medicaid in T2^a	Started accepting new Medicaid in T2^b
Ownership status
Owner (baseline)	.556^c	1.640^c	1.033	.511^c
Change in ownership
Employee to owner	.621^c	2.629^c	1.921^c	.618^e
Owner to employee	1.995^c	.503^c	.764	3.859^c
Practice type
Large/non-office-based (baseline)	1.426^c	.661^c	.621^c	1.467^d
Change in practice type
Small to large/non-office	2.164^c	.427^c	.405^c	1.856^e
Large/non-office to small	.648^e	2.417^c	1.752^e	1.225
Percent change in income	.999	.999	.996^c	.998
Practice revenue shares
Capitation	1.005^c	.995^c	1.000	1.007^c
Medicaid	1.003	1.002	.963^c	1.047^c
Medicaid fees
Medicaid/Medicare fee (baseline)	12.987^c	.565	.664	6.237
Change in fee	2.286	.222	.149^c	1.285
Population characteristics
Percent uninsured	1.039	1.009	1.039	.943
Change in percent uninsured	.978	.982	.990	.980
Percent with Medicaid	1.017	1.048	1.013	.976
Change in percent Medicaid	.999	.985	1.003	.978
Sample size	11,654	4,312	12,451	3,482

Sample includes only physicians providing charity care (or accepting Medicaid patients) in T1.

Sample includes only physicians not providing charity care (or not accepting Medicaid patients) in T1.

p ≤ .01.

01 < p ≤ .05.

05 < p ≤ .10.

Results are based on logistic regressions that also included the following variables: physician's gender, medical and surgical specialty, board certification, international medical graduate, years in practice, number of weeks in patient care in the preceding year, hours of patient care in the past week, changes in hours of patient care between T1 and T2, number of physicians per person in the county, number of hospital beds per person in the county, binary indicator for panels 2 and 3, and binary indicators for the 60 CTS sites.