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Table 7 Knowledge of Health care workers on Ebola Virus Disease in Kasese and Rubirizi districts, Uganda

From: Preparedness of health care systems for Ebola outbreak response in Kasese and Rubirizi districts, Western Uganda

Independent variablesa

Knowledgeable %(n)

COR (95% CI)

p - value

AOR (95% CI)

p - value

 

Yes (N = 153)

No (N = 34)

    

District

 Kasese

120 (78.4)

28 (82.3)

1.0

–

–

–

 Rubirizi

33(21.6)

6(17.6)

1.51 (0.58–3.94)

0.39

–

–

Gender

 Female

80(52.3)

24(70.6)

1.0

–

1.0

–

 Male

73(47.7)

10(29.4)

1.70(0.81–3.58)

0.160

1.41 (0.54–3.66)

0.482

Age

 41 and above

30(19.6)

7(20.6)

1.0

–

–

–

 31–40

43(28.1)

10(29.4)

1.0(0.34–2.93)

0.995

–

–

 20–30

80 (52.3)

17 (50.0)

0.84(0.33–2.19)

0.728

–

–

Education levelb

 Secondary and below

6(3.9)

4 (21.1)

1.0

–

1.0

–

 Tertiary level

143(95.8)

15(78.9)

6.36(2.05–19.66)

0.001a

5.79 (1.79–18.70)

0.003a

Job designation

 Nurse (Enrolled/Registered Midwife)

83(54.2)

24(70.6)

1.0

–

1.0

–

 Clinician

40(26.1)

3(8.8)

3.13 (1.02–9.59)

0.046a

2.51(0.66–9.48)

0.176

 Others

30 (19.6)

7 (20.6)

0.85(0.39–1.84)

0.697

0.78(0.27–2.29)

0.653

Nature of employment

 Temporary

64(41.8)

17(50.0)

1.0

–

–

–

 Permanent

89(58.2)

17(50.0)

1.23(0.60–2.51)

0.573

–

–

Religionb

 Christian

146(98.0)

34(92.8)

1.0

–

1.0

–

 Muslim

3(2.0)

4(10.5)

0.175 (0.02–0.48)

0.027a

0.096 (0.03–0.52)

0.006a

  1. 95% CI 95% Confidence interval; aA cut-off p-value for selection at bivariate level was set at 0.20 and forward selection method was used to select variables to include in multivariable logistic regression; bMissing data