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Table 4 Percentages of positive responses to nurses’ attitude statements (Moore and Price scale)

From: A national cross-sectional study on the knowledge and attitude of nurses towards prevention of pressure injury and their relationship with its prevalence

 

National

(n = 605)

Hospital

p

1

2

3

4

5

6

7

 

(n = 146)

(n = 119)

(n = 107)

(n = 80)

(n = 74)

(n = 59)

(n = 20)

1 All patients are at potential risk of developing pressure ulcers.

51.4

41.4

54.6

49.5

53.8

48.6

64.4

80.0

0.007

2 Pressure ulcer prevention is time consuming for me to carry out.

53.2

50.7

54.6

53.3

41.3

66.2

64.4

30.0

0.008

3 In my opinion, patients tend not to get as many pressure ulcers nowadays.

38.0

33.6

29.4

47.7

30.0

45.9

42.4

60.0

0.006

4 I do not need to concern myself with pressure ulcer prevention in my practice.

79.7

78.1

82.4

87.9

58.8

86.5

81.4

85.0

< 0.001

5 Pressure ulcer treatment is a greater priority than pressure ulcer prevention.

67.8

72.6

63.9

66.4

61.3

71.6

72.9

60.0

0.445

6 Continuous nursing assessment of patients will give an accurate account of their pressure ulcer risk.

96.7

95.9

97.5

97.2

95.0

97.3

98.3

95.0

0.913

7 Most pressure ulcers can be avoided.

72.9

74.0

78.2

59.8

80.0

70.3

72.9

85.0

0.022

8 I am less interested in pressure ulcer prevention than other aspects of nursing care.

85.0

84.2

90.8

90.7

73.8

85.1

81.4

80.0

0.022

9 My clinical judgement is better than any pressure ulcer risk assessment tool available to me.

45.3

43.2

54.6

45.8

37.5

39.2

49.2

45.0

0.246

10 In comparison with other areas of nursing care, pressure ulcer prevention is a low priority for me.

84.8

82.9

94.1

85.0

70.0

90.5

86.4

75.0

< 0.001

11 Pressure ulcer risk assessment should be regularly carried out on all patients during their stay in hospital.

91.2

87.0

95.8

93.5

87.5

91.9

93.2

90.0

0.148

Number of percentages ≥50.0

9

8

10

8

8

8

9

9

0.923

  1. n: number; %: percentage; p: p-value (determined by Chi-squared test) to determine differences between the seven hospitals as regard to the studied variables (statistically significant at p ≤ 0.05)