Table 1.
Control group, n = 655 n (%) |
Intervention group, n = 580 n (%) |
P valuea | |
---|---|---|---|
Demographic characteristics | |||
Age at diagnosis (categories) | |||
<50 y | 163 (24.9) | 170 (29.3) | 0.331 |
50–65 y | 379 (57.9) | 313 (54.0) | |
>65 y | 113 (17.3) | 97 (16.7) | |
Race/ethnicity | |||
Asian or Pacific Islander | 123 (18.8) | 105 (18.1) | 0.877 |
Black or African American | 150 (22.9) | 125 (21.6) | |
Latina | 144 (22.0) | 141 (24.3) | |
Non-Latina White | 229 (35.0) | 202 (34.8) | |
Native American or other | 9 (1.4) | 7 (1.2) | |
Marital status | |||
Married/living with a partner | 288 (44.3) | 261 (45.2) | 0.802 |
Separated/divorced/widowed/never married | 362 (55.7) | 316 (54.8) | |
Education | |||
High school diploma or less | 216 (33.3) | 175 (30.4) | 0.200 |
Some college | 155 (23.9) | 167 (29.1) | |
College degree or higher | 278 (42.8) | 233 (40.5) | |
Language of interview | |||
English | 572 (87.3) | 507 (87.4) | 0.944 |
Spanish or Chinese | 83 (12.7) | 73 (12.6) | |
Health characteristics | |||
Clinic site | |||
Mount Zion Cancer Center | 435 (66.4) | 411 (70.9) | 0.135 |
SF General Hospital | 220 (33.6) | 169 (29.1) | |
Health insurance | |||
Any private insurance | 291 (44.4) | 297 (51.2) | 0.022 |
Only public insurance | 350 (53.4) | 265 (45.7) | |
No insurance | 14 (2.1) | 18 (3.1) | |
Primary care visits during last year | |||
0 to 1 | 176 (27.2) | 164 (28.6) | 0.097 |
2 to 3 | 211 (32.5) | 214 (37.4) | |
4+ | 261 (40.3) | 195 (34.0) | |
Comorbid conditions | |||
0 | 45 (6.9) | 39 (6.7) | 0.979 |
1 to 2 | 256 (39.1) | 226 (39.0) | |
3+ | 354 (54.1) | 315 (54.3) | |
Perception of health status | |||
Excellent/very good | 211 (32.4) | 203 (35.2) | 0.399 |
Less than excellent/very good | 441 (67.6) | 373 (64.8) | |
Assessment of risk for breast cancer | |||
Risk category for breast cancer | |||
Average risk | 509 (77.7) | 419 (72.3) | 0.097 |
High-risk, Gail/BCSC | 97 (14.8) | 101 (17.4) | |
High-risk, RST ≥2 | 49 (7.5) | 60 (10.3) |
P values from GEE analyses accounting for clustering of observations by physician.