Table 1.
Cohort 1: patient demographics
| Variable | Total (%) N = 1925 |
Frontier (%) N = 60 |
Rural (%) N = 363 |
Urban (%) N = 1502 |
P-value |
|---|---|---|---|---|---|
| Sex, male | 1108 (57.6) | 33 (55.0) | 221 (60.9) | 854 (56.9) | .671 |
| Race | .459b | ||||
| American Indian/Alaska Native | <11 | 0 | <11 | <11 | |
| Asian | 17 (0.9) | 0 | <11 | 16 (1.1) | |
| Pacific Islander | 11 (0.6) | <11 | <11 | <11 | |
| Black | <11 | 0 | <11 | <11 | |
| White | 1878 (97.6) | 59 (98.3) | 356 (98.1) | 1463 (97.4) | |
| More than one race | <11 | 0 | 0 | <11 | |
| Not listed | <11 | 0 | <11 | <11 | |
| Ethnicity | .675 | ||||
| Non-Hispanic | 1799 (93.5) | 56 (93.3) | 343 (94.5) | 1400 (93.2) | |
| Age at diagnosis (SD) | 54.9 (19.7) | 56.8 (20.3) | 57.3 (17.6) | 54.2 (20.2) | .019 |
| Marital status | .119b | ||||
| Single, never married | 310 (16.1) | 11 (18.3) | 43 (11.8) | 256 (17.0) | |
| Married | 1295 (67.3) | 41 (68.3) | 257 (70.8) | 997 (66.4) | |
| Single, previously married | 291 (15.1) | <11 | 54 (14.9) | 230 (15.3) | |
| Not listed | 29 (1.5) | <11 | <11 | 19 (1.3) | |
| Insurance status | .036 b | ||||
| Uninsured | 85 (4.4) | <11 | 15 (4.1) | 65 (4.3) | |
| Insurance, NOS | 63 (3.3) | <11 | 17 (4.7) | 45 (3.0) | |
| Private insurance | 844 (43.8) | 20 (33.3) | 134 (36.9) | 690 (45.9) | |
| Medicare and Medicaid | 766 (39.8) | 26 (43.3) | 160 (44.1) | 580 (38.6) | |
| Other government program | 49 (2.5) | <11 | 11 (3.0) | 35 (2.3) | |
| Not listed | 118 (6.1) | <11 | 26 (7.2) | 87 (5.8) | |
| Poverty indicator a | <.001 b | ||||
| <5% | 571 (29.7) | <11 | 58 (16.0) | 512 (34.1) | |
| 5%-10% | 616 (32.0) | 19 (31.7) | 114 (31.4) | 483 (32.2) | |
| 10%-20% | 486 (25.2) | 37 (61.7) | 137 (37.7) | 312 (20.8) | |
| >20% | 168 (8.7) | <11 | 38 (10.5) | 129 (8.6) | |
| Distance to hospital, mi | <.001 | ||||
| First facility (SD) | 20.7 (38.5) | 95.9 ± 69.7 | 50.0 ± 66.5 | 10.7 ± 11.3 |
Abbreviations: SD, standard deviation; NOS, not otherwise specified.
Bold values are significant.
Percentages of total number of patients within each population classification unless otherwise specified. Categorical variables compared with chi-square test. Continuous variables compared with ANOVA test. Categories with less than 11 patients are not explicitly listed to protect from possible patient identification.
aPercentage of a patient’s community who live at or below the poverty line.
bCategorical variables compared with Fisher-Freeman-Halton exact test.