Table 2.
Odds of ADT use in multilevel models as a function of urologist characteristics, stratified by era
| Urologist characteristics | ADT use by era | ||||
|---|---|---|---|---|---|
| a 2000-2002 | a 2004-2007 | ||||
| Odds ratio | 95% CI | Odds ratio | 95% CI | p-value interaction with era | |
| Years in practice (per 5 years) | 1.01 | (0.97, 1.05) | 1.03 | (1.00 ,1.07) | 0.47 |
| Board certification | |||||
| Yes | ref | ref | |||
| No | 1.01 | (0.82, 1.24) | 1.06 | (0.89, 1.28) | 0.94 |
| Academic affiliation | |||||
| Major or minor | ref | ref | |||
| None | 1.32 | (1.17, 1.56) | 1.34 | (1.15, 1.56) | 0.68 |
| Patient panel size | |||||
| <14 | ref | ref | 0.13 | ||
| 14 - 44 | 1.02 | (0.84, 1.25) | 0.93 | (0.77, 1.12) | |
| 45 - 74 | 1.23 | (0.99, 1.54) | 1.03 | (0.84, 1.26) | |
| ≥75 | 1.10 | (0.86, 1.40) | 0.89 | (0.71, 1.11) | |
aBased on multilevel model with patient age, comorbidity, ethnicity, SEER region, tumor stage, grade, year of diagnosis, census tract education, and census tract poverty entered as “level 1” variables and urologist characteristics entered as “level 2” variables. Urologist sex was not entered into the models due to low female sample size. Urologist age was not entered into the models due to collinearity with the years in practice variable.