Research Article
Current Status of Core Competencies of Chinese Nurses in Burn Departments: A Latent Profile Analysis
Table 4
Multinomial logistic regression analysis of variables associated with the latent profile membership (N = 267).
| Variables | Class 1 | Class 2 | b | OR (95% CI) | b | OR (95% CI) |
| Age (ref: ≥36 y) | ≤25 y | 0.217 | 1.242 (0.063, 24.685) | −0.164 | 0.848 (0.068, 10.552) | 26–30 y | 1.014 | 2.756 (0.236, 32.223) | 0.459 | 1.582 (0.172, 14.580) | 31–35 y | 0.142 | 1.152 (0.240, 5.529) | 0.195 | 1.216 (0.275, 5.381) | Professional title (ref: supervisor nurse or above) | Junior nurse | −2.464 | 0.085 (0.006, 1.143) | −1.595 | 0.203 (0.017, 2.368) | Senior nurse | −2.497 | 0.082 (0.009, 0.759) | −1.561 | 0.210 (0.024, 1.868) | Education | Junior college (ref: bachelor’s degree or above) | −0.213 | 0.808 (0.272, 2.404) | −0.239 | 0.787 (0.322, 1.928) | Length of employment (ref: >7 y) | ≤3 y | −2.154 | 0.116 (0.008, 1.741) | −0.807 | 0.446 (0.046, 4.308) | 4-5 y | −2.402 | 0.091 (0.009, 0.906) | −1.170 | 0.310 (0.042, 2.270) | 6-7 y | −0.591 | 0.554 (0.057, 5.372) | −0.411 | 0.663 (0.085, 5.163) | Experience in BICU | Yes (ref: no) | 1.271 | 3.564 (1.423, 8.925) | 0.834 | 2.304 (1.024, 5.181) |
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