Table 3.
Univariate Analysis of the Factors Associated with the Use of Rituximab
| Patient Characteristics | Fujian | Jiangsu | Total | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rituximab (N=675) | Non-Rituximab (N=159) | Rate of Rituximab (%) | Pa | Rituximab (N=348) | Non-Rituximab (N=263 | Rate of Rituximab (%) | Pb | Rituximab (N=1023 | Non-Rituximab (N=422) | Rate of Rituximab (%) | Pc | ||
| Age | ≤35 | 56 | 12 | 82.35 | 0.941 | 32 | 18 | 64.00 | 0.37 | 88 | 30 | 74.58 | 0.391 |
| 35~60 | 346 | 83 | 80.65 | 170 | 122 | 58.22 | 516 | 205 | 71.57 | ||||
| >60 | 273 | 64 | 81.01 | 146 | 123 | 54.28 | 419 | 187 | 69.14 | ||||
| Gender | Male | 391 | 111 | 77.89 | 0.006 | 198 | 146 | 57.56 | 0.733 | 589 | 257 | 69.62 | 0.243 |
| Female | 284 | 48 | 85.54 | 150 | 117 | 56.18 | 434 | 165 | 72.45 | ||||
| Household registration | Rural | 383 | 97 | 79.79 | 0.328 | 76 | 78 | 49.35 | 0.028 | 459 | 175 | 72.40 | 0.236 |
| Urban | 292 | 62 | 82.49 | 272 | 185 | 59.52 | 564 | 247 | 69.54 | ||||
| Location of residence | Local | 246 | 59 | 80.66 | 0.959 | 142 | 70 | 66.98 | 0.001 | 388 | 129 | 75.05 | 0.002 |
| Intra-provincial | 418 | 97 | 81.17 | 152 | 150 | 50.33 | 570 | 247 | 69.77 | ||||
| Non-provincial | 11 | 3 | 78.57 | 54 | 43 | 55.67 | 65 | 46 | 58.56 | ||||
| Medical insurance status | Uninsured | 397 | 91 | 81.35 | 0.716 | 183 | 195 | 48.41 | 0.001 | 580 | 286 | 66.97 | 0.001 |
| Insured | 278 | 68 | 80.35 | 165 | 68 | 70.82 | 443 | 136 | 76.51 | ||||
| Types of insurance scheme | UEBMI | 226 | 39 | 85.28 | 0.001 | 141 | 58 | 70.85 | 0.978 | 367 | 97 | 79.09 | 0.006 |
| URRBMI | 49 | 29 | 62.82 | 21 | 9 | 70.00 | 70 | 38 | 64.81 | ||||
| Others | 3 | 0 | 100.00 | 3 | 1 | 75.00 | 6 | 1 | 85.71 | ||||
| Occupation | Government administrative staff | 23 | 6 | 79.31 | 0.099 | 3 | 1 | 75.00 | 0.006 | 26 | 7 | 78.79 | 0.001 |
| Professionals | 5 | 1 | 83.33 | 17 | 12 | 58.62 | 22 | 13 | 62.86 | ||||
| Peasants | 36 | 10 | 78.26 | 102 | 117 | 46.58 | 138 | 127 | 52.08 | ||||
| Businessmen | 39 | 12 | 76.47 | 41 | 28 | 59.42 | 80 | 40 | 66.67 | ||||
| Clerk | 214 | 32 | 86.99 | 24 | 9 | 72.73 | 238 | 41 | 85.30 | ||||
| Retiree | 7 | 0 | 100.00 | 57 | 40 | 58.76 | 64 | 40 | 61.54 | ||||
| Others | 351 | 98 | 78.17 | 104 | 56 | 65.00 | 455 | 154 | 74.71 | ||||
| Cancer stage | I | 86 | 22 | 79.63 | 0.847 | 94 | 88 | 51.65 | 0.014 | 180 | 110 | 62.07 | 0.001 |
| II | 180 | 37 | 82.95 | 72 | 72 | 50.00 | 252 | 109 | 69.81 | ||||
| III | 129 | 32 | 80.12 | 98 | 58 | 62.82 | 227 | 90 | 71.61 | ||||
| IV | 280 | 68 | 80.46 | 84 | 45 | 65.12 | 364 | 113 | 76.31 | ||||
| The NHIC policy | Before | 249 | 75 | 76.85 | 0.017 | 130 | 131 | 49.81 | 0.002 | 379 | 206 | 64.79 | 0.001 |
| After | 426 | 84 | 83.53 | 218 | 132 | 62.29 | 644 | 216 | 74.88 | ||||
| Total | 675 | 159 | 80.84 | 348 | 263 | 56.96 | 1023 | 422 | 70.71 | ||||
Notes: Pa: Exploring the difference in the distribution of patients by Chi-square text in Fujian Cancer Hospital, Pb: Exploring the difference in the distribution of patients by Chi-square text in the Affiliated Cancer Hospital of Nanjing Medical University (Jiangsu Cancer Hospital), Pc: Exploring the difference of patients received trastuzumab therapy by Chi-square in both hospitals.