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Table 3 Univariate logistic regression analysis of vignette and respondent characterstics, with the Kruskall–Wallis test of influence of State or Territory

From: Differences in identifying healthcare associated infections using clinical vignettes and the influence of respondent characteristics: a cross-sectional survey of Australian infection prevention staff

Variable (proportion of respondents) Vignette 1 Vignette 3 Vignette 4 Vignette 5 Vignette 6 Vignette 7
RR RR RR RR RR RR
n = 92 (95 % CI) (95 % CI) (95 % CI) (95 % CI) (95 % CI) (95 % CI)
Hospital over 200 beds (64 %) n/a 1.15 (0.47, 2.10) 1.00 (0.58, 1.36) 0.94 (0.30, 2.15) 0.56 (0.14, 1.41) 1.13 (0.44, 1.90)
Hospital over 400 beds (38 %) 0.95 (0.11, 3.07) 1.50 (0.71, 2.42) 1.10 (0.72, 1.41) 2.42** (1.09, 3.45) 1.02 (0.46, 1.74) 1.07 (0.51, 1.72)
Academic degree or higher (72 %) 0.95 (0.01, 3.24) 1.41 (0.58, 2.41) 1.33 (0.91, 1.59) 1.02 (0.33, 2.27) 0.56 (0.14, 1.41) 1.36 (0.59, 2.05)
Public hospital (79 %) 1.40 (0.14, 3.30) 0.97 (0.29, 2.04) 0.76 (0.32, 1.25) 1.27 (0.37, 2.72) 1.74 (0.71, 2.46) 1.31 (0.44, 2.12)
Less than 5 years infection control experience (23 %) 1.07 (0.92, 3.15) 0.50 (0.16, 1.35) 0.66 (0.27, 1.13) 1.02 (0.19, 2.53) 0.63 (0.18, 1.56) 1.86 (0.85, 2.42)
Formal surveillance training (48 %) 1.76 (0.29, 3.44) 1.23 (0.54, 2.20) 0.70 (0.35, 1.11) 1.02 (0.19, 2.53) 1.25 (0.54, 2.02) 1.22 (0.56, 1.91)
Trained by central organisation (21 %) 1.07 (0.20, 2.82) 1.53 (0.58, 2.66) 1.02 (0.52, 1.44) 2.27 (0.53, 3.68) 1.04 (0.37, 1.92) 1.00 (0.35, 1.82)
Surveillance skills assessed (17 %) n/a 0.99 (0.32, 2.34) 0.72 (0.27, 1.25) 0.32*** (0.09, 0.98) 1.94 (0.85, 2.60) 1.05 (0.37, 1.92)
Work in a team (73 %) 2.04 (0.04, 3.81) 2.16* (1.14, 2.97) 1.02 (0.58, 1.40) 1.02 (0.33, 2.27) 0.85 (0.26, 1.75) 1.69 (0.86, 2.24)
Daily access to Infectious Diseases Physician (59 %) 1.73 (0.18, 3.49) 0.89 (0.35, 1.77) 1.05 (0.64, 1.39) 0.53 (0.14, 1.55) 0.58 (0.16, 1.38) 1.17 (0.48, 1.90)
Daily access to Epidemiologist (1 %) 1.35 (0.14, 3.73) 1.14 (0.25, 2.99) 1.39 (0.68, 1.71) 1.45 (0.23, 3.37) 1.63 (0.32, 2.67) 1.20 (0.27, 2.29)
Daily access to Microbiologist (64 %) 1.73 (0.18, 3.49) 0.90 (0.34, 1.81) 0.82 (0.44, 1.23) 1.39 (0.51, 2.65) 1.00 (0.35, 1.87) 0.91 (0.31, 1.72)
Effective full time staff >3 (27 %) 0.49 (0.05, 2.34) 0.84 (0.23, 2.11) 0.69 (0.29, 1.19) 0.76 (0.24, 1.82) 0.95 (0.30, 1.90) 0.39 (0.08, 1.19)
Rarely or never have access to an ICP with more experience (43 %) 0.49 (0.08, 1.91) 1.51 (0.69, 2.49) 1.07 (0.66, 1.41) 0.66 (0.23, 1.60) 0.93 (0.36, 1.74) 1.04 (0.43, 1.78)
Work part time (34 %) 0.26 (0.04, 1.40) 0.57 (0.21, 1.34) 0.83 (0.44, 1.25) 0.72 (0.21, 1.86) 0.63 (0.18, 1.56) 1.05 (2.46, 1.92)
Kruskall–Wallis test for State/Territory (P-value) 0.0875 0.0454 0.4163 0.0427 0.2826 0.3389
  1. RR Risk Ratio, 95 % CI 95 % Confidence Interval
  2. *p = 0.011 **p = 0.033 ***p = 0.049