Table 5.
Hospital Outpatient Clinics | |||
---|---|---|---|
Odds Ratioa | 95% CI | p-Valueb | |
Predisposing Factors | |||
Patient Age (yrs) | 0.379 | ||
40–49 | 1.00 | Reference | |
50–59 | 0.95 | 0.71–1.28 | |
60–69 | 1.20 | 0.88–1.64 | |
≥ 70 | 0.76 | 0.46–1.24 | |
Patient Race | 0.457 | ||
White only | 1.00 | Reference | |
Black only | 1.18 | 0.85–1.66 | |
Asian/Pacific Islander only | 1.19 | 0.70–2.04 | |
Patient Ethnicity | 0.024 | ||
Hispanic | 1.57 | 1.06–2.34 | |
Not Hispanic | 1.00 | Reference | |
Educationc | 0.427 | ||
Per 10% increase in high school graduates | 1.08 | 0.89–1.31 | |
Reason for visit | <0.001 | ||
Chronic problem | 1.95 | 1.29–2.94 | |
Acute problem | 1.00 | Reference | |
Preventive care | 11.73 | 7.78–17.66 | |
Enabling Factors | |||
Incomec | 0.162 | ||
Per $10,000 increase in median income | 0.92 | 0.82–1.04 | |
Expected source of payment | 0.465 | ||
Medicare | 0.83 | 0.47–1.46 | |
Medicaid | 0.70 | 0.46–1.08 | |
Private | 0.75 | 0.48–1.17 | |
Other | 0.64 | 0.31–1.30 | |
Self/uninsured | 1.00 | Reference | |
# of visits to practiced | 0.001 | ||
New patient | 0.44 | 0.21–0.93 | |
0 | 1.00 | Reference | |
1–2 | 0.55 | 0.28–1.08 | |
3–5 | 0.35 | 0.17–0.72 | |
≥ 6 | 0.26 | 0.13–0.54 | |
Reinforcing Factors | |||
PCP status | 0.014 | ||
PCP for that patient | 1.71 | 1.11–2.61 | |
Not PCP for that patient | 1.00 | Reference | |
Clinic type | 0.002 | ||
General Medicine | 1.00 | Reference | |
Obstetrics and gynecology | 2.06 | 1.31–3.22 | |
MSAe | 0.435 | ||
MSA | 1.28 | 0.68–2.41 | |
Non-MSA | 1.00 | Reference | |
Geographic region | 0.007 | ||
Northeast | 1.96 | 1.19–3.21 | |
Midwest | 2.19 | 1.33–3.63 | |
South | 1.21 | 0.64–2.28 | |
West | 1.00 | Reference | |
Year | 0.598 | ||
2001 | 1.00 | Reference | |
2002 | 0.97 | 0.64–1.46 | |
2003 | 0.80 | 0.51–1.25 |
Adjusted for factors in the table.
P-values presented in the modeling table are for simultaneously testing that all beta coefficients associated with a given variable are equal to 0. Statistical testing for all models was performed using the Wald chi-square test.
Based on zip code level data from the 2000 Census.
Does not include index visit.
MSA = metropolitan statistical area.