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Table 3 Combined summary data for hospital separations according to International Classification of Diseases code and Local Government Areas (LGA) cluster.

From: The impact of socio-economic disadvantage on rates of hospital separations for diabetes-related foot disease in Victoria, Australia

 

Peripheral vascular disease

Ulcer

Cellulitis

Osteomyelitis

Foot amputation

Below knee amputation

Above knee amputation

Total separations

       

Group D

972

546

129

162

163

223

73

Group A

1238

556

152

228

301

180

79

Per capita separations

       

Group D

32.2

18.1

4.3

5.4

5.4

7.4

2.4

Group A

28.2

12.7

3.4

5.2

6.9

4.1

1.8

Rate ratio (95% CI)

1.15 (1.1, 1.3)

1.4 (1.3, 1.6)

1.24 (0.1, 1.6)

1.04 (0.8, 1.3)

0.8 (0.7, 1.0)

1.8 (1.5, 2.2)

1.35 (0.1, 1.9)

Mean age (years)

       

Males

       

Group D

71.5

66.8

52.5

62.0

64.0

72.3

53.8

Group A

70.0

69.0

69.7

69.8

69.0

70.6

62.7

Mean difference (95% CI)

1.5 (0.9, 2.0)

-2.2 (-3.2, -1.2)

-17.2 (-20, -14)

-7.8 (-11, -5.4)

-7.0 (-9, -4)

1.7 (0.2, 3.2)

-8.9 (-13, -4.5)

Females

       

Group D

75.4

57.5

57.2

71.5

69.2

75.8

76.7

Group A

74.6

76.0

69.7

80.0

72.2

68.7

73.9

Mean difference (95% CI)

0.8 (-0.1, 1.7)

-18.5 (-20, -17)

-12.5 (-16, -9.1)

-8.5 (-12, -5.4)

-3.0 (-7, -0.9)

7.1 (2.0, 12.2)

2.8 (-1.4, 7.0)

Gender (%)

       

Males

       

Group D

68.8

65.6

58.0

45.0

77.0

74.0

51.0

Group A

60.0

54.8

69.0

53.5

61.5

71.0

64.5

Females

       

Group D

32.0

34.4

42.0

55.0

23.0

26.0

49.0

Group A

40.0

45.2

31.0

46.5

38.5

29.0

35.5

Odds ratio (95% CI)

1.4 (1.2, 1.7)

1.6 (1.2, 2.0)

0.62 (0.4, 1.0)

0.71 (0.5, 1.1)

2.1 (1.3, 3.2)

1.0 (0.6, 1.5)

0.57 (0.3, 1.1)

  1. Total separations are reported as absolute frequencies and per capita data refers to number of separations per 1,000 total population with diabetes per LGA cluster. Rate ratios are unadjusted for age and sex as insufficient data was available for this type of analysis. Effect estimates for age were calculated using unpaired t-test and are reported as mean difference and percentage differences for gender were analysed using chi-square and are reported as odds ratios.