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Table 6 Outcome measures for those who applied after baseline: card received or not by follow up

From: Evaluation of the impact of a chronic disease scheme reimbursing medical costs of patients with diabetes in Anhui province, China: a follow-up study

Outcome measures

Received

Not received

p=

ORa

95 % CIa

HbA1c

 Baseline: mean (SD)

8.38 (2.38)

7.92 (1.53)

0.24

1.09

0.90–1.31

 Follow up: mean (SD)

7.95 (1.91)

8.12 (1.86)

0.73

0.96

0.79–1.17

 Change: mean (SD)

−0.43 (1.51)

0.20 (1.44)

0.02

0.74

0.56–0.99

Seen at county or higher level hospital

 Baseline %

65.1

71.7

0.56

0.78

0.35–1.76

 Follow up %

64.0

67.4

0.85

0.77

0.34–1.72

Number of test types

 Baseline: mean (SD)

1.47 (0.89)

1.41 (0.78)

0.74

0.96

0.58–1.59

 Follow up: mean (SD)

1.24 (0.61)

1.26 (0.49)

0.87

0.89

0.46–1.72

 Change: mean (SD

−0.22 (0.96)

−0.15 (0.89)

0.69

0.98

0.63–1.53

Number of hospital visits

 Baseline: mean (SD)

4.42 (4.67)

3.57 (4.08)

0.30

1.03

0.94–1.13

 Follow up: mean (SD)

5.44 (5.71)

4.11 (5.08)

0.19

1.04

0.97–1.13

 Change: mean (SD

1.02 (6.91)

0.54 (5.80

0.70

1.01

0.95–1.07

SF–12 Physical

 Baseline: mean (SD)

31.51 (8.27)

34.53 (8.79)

0.05

0.96

0.92–1.00

 Follow up: mean (SD)

34.95 (7.66)

33.92 (7.60)

0.46

1.02

0.97–1.07

 Change: mean (SD)

3.44 (7.74)

−0.61 (9.90)

0.01

1.06

1.01–1.10

SF–12 Mental

 Baseline: mean (SD)

37.93 (10.13)

36.59 (11.68)

0.49

1.01

0.98–1.05

 Follow up: mean (SD)

38.51 (10.24)

35.43 (10.47)

0.11

1.03

0.99–1.07

 Change: mean (SD)

0.57 (10.99)

−1.16 (11.42)

0.40

1.01

0.98–1.05

EQ–5D Health scale

 Baseline: mean (SD)

54.93 (14.74)

53.13 (14.95)

0.51

1.01

0.99–1.04

 Follow up: mean (SD)

59.40 (10.24)

62.30 (9.65)

0.12

0.97

0.93–1.01

 Change: mean (SD)

4.47 (12.88)

9.17 (14.82)

0.06

0.97

0.94–1.00

Cost of treatment greatly burdensome

 Baseline: %

54.7

45.7

0.36

1.37

0.64–2.92

 Follow up: %

33.7

34.8

0.90

0.83

0.37–1.83

N

86

46

  1. aAdjusted for insulin use at baseline in a multilevel logistic model allowing for clustering within county