Table 1 Patient demographics for prediction of 1-year expenditure.
Characteristics | Count (%) | # below ave cost (%) | # above ave cost (%) |
|---|---|---|---|
Gender (p = 0.112)* | |||
Female | 9616 (49.3) | 5091 (49.8) | 4525 (48.7) |
Male | 9908 (50.7) | 5133 (50.2) | 4775 (51.3) |
Age (p < 0.0001)* | |||
18–37 | 4055 (20.8) | 2949 (28.9) | 1106 (11.9) |
38–57 | 5423 (37.8) | 3081 (30.1) | 2342 (25.2) |
58–76 | 6212 (31.8) | 2634 (25.8) | 3578 (38.5) |
77–96 | 3639 (18.6) | 1485 (14.5) | 2154 (23.1) |
97–116 | 195 (1.0) | 75 (0.7) | 120 (1.3) |
Region (p < 0.0001)* | |||
Bay area | 17,153 (87.9) | 9093 (88.9) | 8060 (86.7) |
Not bay area | 2367 (12.1) | 1129 (11.1) | 1238 (13.3) |
Not assigned | 4 (0.0) | 2 (0.0) | 2 (0.0) |
Race (p < 0.0001)* | |||
American Indian or Alaska Native | 67 (0.3) | 30 (0.3) | 37 (0.4) |
Asian | 4196 (21.5) | 2072 (20.3) | 2124 (22.8) |
Black or African American | 2326 (11.9) | 1219 (11.9) | 1108 (11.9) |
Native Hawaiian or other Pacific Islander | 454 (2.3) | 285 (2.8) | 169 (1.8) |
Other | 2923 (15.0) | 1569 (15.3) | 1354 (14.6) |
Unknown/declined | 625 (3.2) | 411 (4.0) | 214 (2.3) |
White or Caucasian | 8933 (45.8) | 4638 (45.4) | 4295 (46.2) |
