Table 4 The factors that influence “good” and “not good” classifications in the knowledge dimension in binary logistic regression analysis
95%CI (Lower bound/upper bound) | P | |
|---|---|---|
Gender | 0.038 | |
Men | 1 | * |
Women | 0.772 (0.605–0.986) | |
Age (years) | 0.110 | |
<29 | 1 | |
30–39 | 0.794 (0.639–0.985) | |
≥ 40 | 0.764 (0.487–1.198) | |
Hospital level | 0.684 | |
Tertiary hospital | 1 | |
Secondary hospital | 0.958 (0.781–1.176) | |
Service years | 0.668 | |
1–5 | 1 | |
6–10 | 0.983 (0.805–1.201) | |
11–19 | 0.958 (0.730–1.256) | |
≥ 20 | 0.748 (0.462–1.211) | |
Administrative duties | 0.050 | |
No | 1 | |
Education secretary | 1.253 (0.962–1.633) | |
Head nurse | 0.806 (0.570–1.140) | |
Doctor director | 1.602 (0.992–2.586) | |
GCS application training | 0.000** | |
Yes | 1 | |
No | 0.097 (0.081–0.117) |