Table 4.
Analysis on the utilization of grade III hospitals for inpatient treatment.
| Using grade III hospital for inpatient treatments (n = 579) |
||||
|---|---|---|---|---|
| Total | Using grade III hospital, n (%) | OR (p) | aOR (p) | |
| Gender | ||||
| Male | 264 | 99 (37.5) | – | – |
| Female | 315 | 131 (41.6) | 1.187 (0.317) | 1.594 (0.024) |
| Age | ||||
| 45–50 | 72 | 23 (31.9) | – | – |
| 51–60 | 137 | 53 (38.7) | 1.344 (0.336) | 0.998 (0.996) |
| 61–70 | 197 | 81 (41.1) | 1.488 (0.173) | 1.145 (0.689) |
| >70 | 173 | 73 (42.2) | 1.555 (0.136) | 1.076 (0.846) |
| Marital status | ||||
| Single/divorced/widowed | 109 | 34 (31.2) | – | – |
| Married | 470 | 196 (41.7) | 1.578 (0.044) | 2.266 (0.004) |
| Education | ||||
| No schooling | 92 | 28 (30.4) | – | – |
| Primary | 190 | 77 (40.5) | 1.558 (0.101) | 1.452 (0.225) |
| Junior high | 167 | 66 (39.5) | 1.494 (0.147) | 1.030 (0.928) |
| Senior high | 88 | 38 (43.2) | 1.737 (0.077) | 1.059 (0.880) |
| Junior college and more | 37 | 19 (51.4) | 2.413 (0.027) | 1.097 (0.852) |
| Occupation | ||||
| Governments | 25 | 10 (40.0) | – | – |
| Enterprises | 27 | 10 (37.0) | 0.882 (0.826) | 1.130 (0.843) |
| Farmers | 198 | 57 (28.8) | 0.606 (0.253) | 0.608 (0.396) |
| Small private business | 15 | 5 (33.3) | 0.750 (0.674) | 0.648 (0.564) |
| Others | 13 | 5 (38.5) | 0.938 (0.927) | 1.339 (0.704) |
| Retired | 205 | 112 (54.6) | 1.806 (0.171) | 1.684 (0.297) |
| Unemployed | 96 | 31 (32.3) | 0.715 (0.469) | 0.734 (0.585) |
| Area | ||||
| Urban | 346 | 165 (47.7) | – | – |
| Rural | 233 | 65 (27.9) | 0.424 (< 0.001) | 0.806 (0.478) |
| Chronic disease | ||||
| No | 38 | 13 (34.2) | – | – |
| Yes | 541 | 217 (40.1) | 1.288 (0.473) | 1.211 (0.629) |
| Insurance utilization | ||||
| Yes | 542 | 217 (40.0) | – | – |
| No | 37 | 13 (35.1) | 0.811 (0.556) | 0.804 (0.597) |
| Per capita income (1K RMB) | – | – | 1.026 (<0.001) | 1.014 (0.047) |
OR, odds ratio from univariate logistic regression.
aOR, adjusted odds ratio from multivariate logistic regression.