Skip to main content

Table 5 Outcome measures for 258 matched pairs (in scheme or not applied throughout)

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

Case

Referent

p=

ORa

95 % CIa

HbA1c

 Baseline: mean (SD)

8.06 (1.90)

7.97 (1.90)

0.60

0.96

0.89–1.06

 Follow up: mean (SD)

8.07 (1.97)

8.10 (1.90)

0.83

0.92

0.83–1.02

 Change: mean (SD)

0.00 (1.50)

0.13 (1.28)

0.30

0.93

0.81–1.07

Seen at county or higher level hospital

 Baseline %

74.8

50.4

0.00

2.83

1.87–4.29

 Follow up %

67.1

41.9

0.00

2.58

1.74–3.82

Number of test types

 Baseline: mean (SD)

1.46 (0.73)

1.20 (0.67)

0.00

1.67

1.25–2.23

 Follow up: mean (SD)

1.25 (0.66)

1.02 (0.64)

0.00

1.56

1.14–2.14

 Change: mean (SD)

−0.21 (0.89)

−0.17 (0.83)

0.65

0.91

0.73–1.15

Number of hospital visits

 Baseline: mean (SD)

5.47 (5.64)

2.50 (3.58)

0.00

1.24

1.15–1.33

 Follow up: mean (SD)

5.82 (5.68)

2.58 (3.92)

0.00

1.15

1.09–1.21

 Change: mean (SD)

0.35 (6.44)

0.09 (4.65)

0.59

1.00

0.97–1.04

SF–12 Physical

 Baseline: mean (SD)

32.4 (7.7)

35.2 (9.1)

0.00

0.97

0.95–1.00

 Follow up: mean (SD)

35.1 (7.2)

36.5 (7.5)

0.03

0.98

0.96–1.01

 Change: mean (SD)

2.7 (8.9)

1.3 (9.6)

0.08

1.02

0.99–1. 04

SF–12 Mental

 Baseline: mean (SD)

37.5 (10.5)

40.7 (11.3)

0.00

0.98

0.96–1.00

 Follow up: mean (SD)

39.4 (10.8)

41.5 (10.9)

0.03

0.99

0.97–1.00

 Change: mean (SD)

1.9 (12.5)

0.8 (12.5)

0.33

1.00

0.99–1.02

EQ–5D Health scale

 Baseline: mean (SD)

56.2 (13.9)

59.5 (13.5)

0.01

0.99

0.98–1.04

 Follow up: mean (SD)

62.2 (8.0)

64.5 (9.5)

0.00

0.98

0.96–1.00

 Change: mean (SD)

2.7 (8.9)

1.3 (9.6)

0.08

1.00

0.99–1.02

Cost of treatment burdensome

 Baseline: %

57.8

33.7

0.00

2.06

1.39–3.05

 Follow up: %

33.7

16.3

0.00

1.95

1.22–3.10

N

258

258

  1. aAdjusted for insulin, years since diagnosis and BMI at baseline in a multilevel logistic model allowing for clustering within pairs