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Table 4 The factors that influence “good” and “not good” classifications in the knowledge dimension in binary logistic regression analysis

From: Healthcare professionals’ knowledge, attitudes, and practices regarding graduated compression stockings: a survey of China’s big-data network

  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)  
  1. CI Confidence interval
  2. *p < 0.05; **p < 0.01