Factors associated with general preparedness competency of public health inspectors
| Variables | Full model* | Parsimonious model† | ||
|---|---|---|---|---|
| Coefficient | p Value | Coefficient | OR (95% CI) | |
| Age group (30–39) vs (20–29) | 1.963 | 0.016 | 1.940 | 6.96(1.44 to 33.62) |
| Age group (40–49) vs (20–29) | 2.174 | 0.007 | 2.070 | 7.93(1.67 to 37.73) |
| Age group (50–59) vs (20–29) | 2.434 | 0.004 | 2.131 | 8.42(1.67 to 42.56) |
| Education (junior college) vs (senior high school) | 0.040 | 0.914 | – | – |
| Education (University) vs (senior high school) | 0.702 | 0.077 | – | – |
| Have working experience of epidemic prevention station vs no experience | –0.657 | 0.015 | −0.890 | 0.41(0.25 to 0.66) |
| Have been trained in emergency response vs none | 0.714 | 0.032 | 0.795 | 2.22(1.31 to 3.74) |
| Have participated in drill in emergency response vs none | 0.058 | 0.854 | – | – |
| Describe the agency's role in emergency response vs not sure | 0.154 | 0.546 | – | – |
| Describe one's own functional role in emergency response vs not sure | 1.881 | 0.000 | 1.846 | 6.33(3.30 to 12.16) |
*The model was fit using multivariate logistic regression by stepwise method. Dependant variable was dichotomised self-rated general competency and independent variables included significant variables listed in table 1, such as age, education, working experience, emergency-related practice and perception on emergency response.
†The model included predictor variables that were associated with dependant variable.