Table 3.
Multivariate analysis for incidence rate ratio on TTIa.
| Multivariate analysis | ||
|---|---|---|
| IRRb on TTI (95% CI) | P value | |
| Total No. of patients | ||
| Sex | ||
| Male | Reference | |
| Female | 1.04 (1.03–1.05) | < 0.001 |
| Age | ||
| ≤64 | Reference | |
| ≥65 | 1.00 (0.99–1.01) | 0.554 |
| Race | ||
| White | Reference | |
| Black | 1.09 (1.08–1.10) | < 0.001 |
| Asian | 1.03 (1.01–1.05) | 0.001 |
| Others | 1.12 (1.09–1.15) | < 0.001 |
| Facility type | ||
| Academic | Reference | |
| Comprehensive community | 0.76 (0.75–0.77) | < 0.001 |
| Community | 0.64 (0.63–0.65) | < 0.001 |
| Others | 0.86 (0.85–0.87) | < 0.001 |
| Insurance status | ||
| Private insurance | Reference | |
| Medicaid | 1.34 (1.33–1.36) | < 0.001 |
| Medicare | 1.12 (1.11–1.13) | < 0.001 |
| Other government | 1.18 (1.15–1.21) | < 0.001 |
| Uninsured | 1.17 (1.15–1.19) | < 0.001 |
| Zip-code level income, $ | ||
| <38,000 | Reference | |
| 38,000–47,999 | 1.05 (1.04–1.06) | < 0.001 |
| 48,000–62,999 | 1.07 (1.06–1.08) | < 0.001 |
| >63,000 | 1.06 (1.05–1.08) | < 0.001 |
| Zip-code education level | ||
| ≥21% | Reference | |
| 13–20.9% | 0.95 (0.94–0.96) | < 0.001 |
| 7–12.9% | 0.94 (0.93–0.95) | < 0.001 |
| <7% | 0.90 (0.88–0.91) | < 0.001 |
| Charlson Deyo score | ||
| 0 | Reference | |
| 1 | 1.06 (1.05–1.06) | < 0.001 |
| 2- | 1.15 (1.13–1.16) | < 0.001 |
| Tumour location | ||
| Upper extremity | Reference | |
| Lower extremity | 1.15 (1.14–1.16) | < 0.001 |
| Trunk | 1.03 (1.02–1.04) | 0.020 |
| Histologic grade | ||
| 2 | Reference | |
| 3 | 0.85 (0.84–0.86) | < 0.001 |
| 4 | 0.88 (0.87–0.89) | < 0.001 |
| AJCCc stage | ||
| 2 | Reference | |
| 3 | 1.29 (1.28–1.30) | < 0.001 |
| Transition in care | ||
| No | Reference | |
| Yes | 1.62 (1.61–1.63) | < 0.001 |
a
- TTI = time to treatment initiation;
b
- IRR = incident rate ratio;
c
- AJCC = American Joint Committee on Cancer.
*
Incidence Rate Ratio means for every 1‐point increase in the independent variable, the rate of TTI (in days) would change by a factor of that value, while holding all other variables in the model constant.