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Table 6 Bivariable and Multivariable analysis of factors associated with nurses’ practice towards prevention of intravenous-cannula related infection, Northwest Amhara regional state comprehensive specialized hospitals, 2022 (n=412)

From: Knowledge, practice and associated factors towards intravenous cannula-related infection prevention among nurses working at Northwest Amhara Regional State Comprehensive Specialized Hospitals, Ethiopia

Variables

Practice

COR (95% CI)

AOR (95% CI)

P-value

Good

Poor

Marital status

 Single

63 (54.8%)

52 (45.2%)

1

1

1

 Married

149 (54.4%)

125 (45.6%)

0.98 (0.64, 1.52)

1.23 (0.76, 2.00)

0.401

 Divorced & widow

9 (39.1%)

14 (60.9%)

0.53(0.21,1.32)

0.65 (0.23, 1.83)

0.418

Availability guideline

 Yes

88 (64.2%)

49 (35.8%)

1.92(1.26, 2.92)

1.69 (1.06, 2.68)

0.027*

 No

133 (48.4%)

142 (51.6%)

1

1

1

Avail. of written policy

 Yes

46 (68.7%)

21 (31.3%)

2.13 (1.22, 3.72)

1.29 (0.64, 2.61)

0.473

 No

175 (50.7%)

170 (49.3%)

1

1

1

Avail. organized Commit.

 Yes

60 (66.7%)

30 (33.3%)

2.00 (1.23,3.26)

1.53 (0.85, 2.75)

0.152

 No

161 (50.0%)

161 (50.0%)

1

1

1

Working ward/unit:

 OPD

13 (31.7%)

28 (68.3%)

1

1

1

 Surgical

56 (50.0%)

56 (50.0%)

2.15(1.012, 4.58)

2.25 (0.99, 5.09)

0.051

 Medical

42 (50.0%)

42 (50.0%)

2.15(0.98, 4.72)

2.11 (0.91, 4.91)

0.082

 Emergency

28 (58.3%)

20 (41.7%)

3.02(1.26, 7.22)

3.11 (1.22, 7.93)

0.018*

 ICU

18 (62.1%)

11 (37.9%)

3.52(1.30, 9.56)

3.98(1.36, 11.61)

0.012*

 Pediatrics

32 (69.6%)

14 (30.4%)

4.92(1.98,12.22)

4.88 (1.83,13.05)

0.002*

 NICU

27 (67.5%)

13 (32.5%)

4.47(1.76,11.37)

4.69 (1.74,12.71)

0.002*

 ophthalmic clinic

5 (41.7%)

7 (58.3%)

1.54 (0.41, 5.78)

1.54 (0.38, 6.15)

0.543

Read guideline/review

 Yes

137 (57.1%)

103 (42.9%)

1.39(0.94, 2.07)

1.13 (0.68, 1.87)

0.650

 No

84 (48.8%)

88 (51.2%

1

1

1

Training

 Yes

71 (68.3%)

33 (31.7%)

2.27 (1.42, 3.62)

2.12 (1.26, 3.57)

0.005*

 No

150 (48.7%)

158 (51.3%)

1

1

1

Knowledge

 Good

147 (65.0%)

79 (35.0%)

2.82 (1.89, 4.21)

2.55 (1.67, 3.89)

0.000*

 Poor

74 (39.8%)

112 (60.2%)

1

1

1

Age

 20-29

94(57%)

71(43%)

1.39 (0.69, 2.81)

1.34 (0.59, 3.03)

0.480

 30-39

108(51.9%)

100(48.1%)

1.14 (0.57, 2.25)

1.04 (0.48, 2.26)

0.932

 ≥40

19(48.7%)

20(51.3%)

1

1

1

Education

 Diploma

9 (47.4%)

10(52.6%)

1

1

 

 Degree

189 (54.8%)

156 (45.2%)

1.35 (0.53, 3.39)

1.33 (0.44, 3.99)

0.615

 Masters

23(47.9%)

25(52.1%)

1.022 (0.35, 2.96)

1.09 (0.29, 3.98)

0.895

Work experience

 <5

72 (57.6%)

53(42.4%)

1

1

1

 6-9

81 (53.3%)

71 (46.7%)

0.84 (0.52, 1.35)

0.91 (0.50, 1.64)

0.753

 ≥10

68 (50.4%)

67 (49.6%)

0.75 (0.458, 1.22)

1.02 (0.49, 2.14)

0.958

Work over load

 Yes

160 (53.7%)

138 (46.3%)

1.01 (0.65, 1.55)

1.09 (0.66, 1.79)

0.732

 No

61(53.5%)

53 (46.5%)

1

1

1

Sex

 Male

112(53.8%)

96(46.2%)

1.02 (0.69, 1.49)

0.69 (0.44, 1.11)

0.130

 Female

109 (53.4%)

95 (46.6%)

1

1

1

  1. *Statistical significance at p value < 0.05 and CI didn’t include 1 with AOR, (*) variables which are significantly associated, 1 = for reference Category, Avail= Availability