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Table 3 Regression output of factors associated with inter-professional collaboration of participants with physicians (n = 409) in Jimma university specialized teaching hospital, Jimma, south west Ethiopia, 2019

From: Inter-professional collaboration of nurses and midwives with physicians and associated factors in Jimma University specialized teaching hospital, Jimma, south West Ethiopia, 2019: cross sectional study

Variable

Frequency

COR (95% CI)

AOR (95% CI)

p-value

Satisfactory inter-Professional collab- Oration

Unsatisfactory inter-Professional collab- Oration

Profession

 Nurse

234 (65.5%)

123 (34.5%)

0.634 (0.326–1.233)

0.741 (0.338–1.624)

0.454

 Midwife

39 (75%)

13 (25%)

1

 

Hospital rules and regulation are helpful to collaborate

 No

82 (56.6%)

63 (43.4%)

0.497 (0.325–0.761

0.633 (0.384–1.045)

0.074

 Yes

191 (72.3%)

73 (27.7%)

1

 

Good relationship with physicians

 Yes

187 (78.6%)

51 (21.4%)

3.624 (2.355–5.576)

3.478 (2.077–5.825)

0.000*

 No

86 (50.3%)

85 (49.7%)

1

 

Experience of disruptive behaviors

 Yes

80 (47.1%)

90 (52.9%)

0.212 (0.136–0.329)

0.229 (0.141–0.372)

0.000*

 No

193 (80.8%)

46 (19.2%)

1

 

Age

 20–29

109 (65.7%)

57 (34.3%)

1.328 (0.727–2.426)

1.049 (0.494–2.228)

0.900

 30–39

128 (70.3%)

54 (29.7%)

1.646 (0.902–3.003)

1.381 (0.661–2.886)

0.391

 40–62

36 (59%)

25 (41%)

 

1

 

Attitude towards inter-professional collaboration with physicians

 Favorable

178 (76.1%)

56 (23.9%)

2677 (1.754–4.085)

3.085 (1.862–5.044)

0.000*

 Unfavorable

95 (54.3%)

80 (45.7%)

1

 

Occupational status in the hospital

 Staff nurse and midwife

267 (67.9%)

126 (32.9%)

3.532 (1.256–9.933)

8.175 (2.396–27.891)

0.001*

 Nurse and midwife head

6 (37.5%)

10 (62.5%)

1

 

Time needed for collaboration

 Yes

173 (68.9%)

78 (31.1%)

1.286 (0.846–1.957)

0.768 (0.458–1.291)

0.320

 No

100 (63.3%)

58 (36.7%)

1

 
  1. Variables whose p-values written with “*” are statistically significant
  2. 1” indicates the category used as a constant in multivariable logistic regression