Table 2.
Multiple Logistic Regression Model for Breast Reconstruction Controlling for Race, Primary Payer Status, AJCC Stage, Radiation Status and Geography. N = 10,032.
| Variable | OR | 95% CI | P |
|---|---|---|---|
| Race | |||
| White | ref. | ref. | ref. |
| Black | 0.76 | 0.60 – 0.95 | .016 |
| Other | 1.57 | 0.96 – 2.54 | .068 |
| Primary Payer | |||
| Private | ref. | ref. | ref. |
| Medicaid | 0.11 | 0.10 – 0.126 | < .001 |
| Medicare | 0.47 | 0.39 – 0.57 | < .001 |
| Uninsured | 0.22 | 0.13 – 0.36 | < .001 |
| TRICARE/VA | 1.27 | 0.83 – 1.92 | .275 |
| Unknown | 0.25 | 0.09 – 0.54 | .001 |
| AJCC Stage | |||
| I | ref. | ref. | ref. |
| II | 0.69 | 0.61 – 0.77 | < .001 |
| III | 0.33 | 0.27 – 0.40 | < .001 |
| Unknown | 0.56 | 0.37 – 0.85 | < .007 |
| Radiation Used | 0.77 | 0.66 – 0.91 | .002 |
| Geography | |||
| Urban | ref. | ref. | ref. |
| Near-Metro | 0.54 | 0.47 – 0.61 | < .001 |
| Rural | 0.36 | 0.31 – 0.41 | < .001 |