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. 2001 Dec;16(12):815–821. doi: 10.1111/j.1525-1497.2001.01239.x

Table 3.

Odds Ratios from Logistic Regression Models Predicting Taking New Medi-Cal Patients among Physicians Accepting Any New Patients

Predictor Odds Ratio 95% Confidence Interval
Primary care physicians 1.0
Specialists 1.40* 1.07 to 1.83
Age ≤50 y 1.0
Age >50 y 1.02 0.79 to 1.32
Race/ethnicity
 African American 2.47 1.56 to 3.90
 Asian 1.43* 1.04 to 1.96
 Latino 1.85 1.23 to 2.77
 Other 1.04 0.52 to 2.08
 White 1.0
Female 1.0
Male 0.87 0.61 to 1.24
International medical school graduate 1.92 1.41 to 2.59
U.S. medical school graduate 1.0
Board-certified 0.83 0.59 to 1.17
Not board-certified 1.0
Practice setting
 Group model HMO 1.50* 1.01 to 2.21
 Group practice 1.13 0.87 to 1.48
 Solo practice 1.0
Income 0.99 0.99 to 1.00
Agree that Medi-Cal patients
 Have complex clinical problems 1.03 0.75 to 1.41
 Have complex psychosocial problems 1.05 0.74 to 1.50
 Are noncompliant 0.84 0.61 to 1.14
 Require extra time 1.19 0.88 to 1.61
 Unsettle other patients in the waiting room 1.02 0.79 to 1.33
 Increase the risk of being sued 0.76* 0.58 to 0.99

* P < .05.

P < .005.

Reference category is those physicians who disagreed with the attitude statement.

Analysis restricted to physicians accepting any new patients: 85% of primary care physicians, 98% of specialist physicians.