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Table 1 National and regional trends in the use of antidiabetic drugs over the 7-year period (between 2015 and 2021)

From: Trends and regional differences in antidiabetic medication use: a nationwide retrospective observational study

Group name

Antidiabetics total

Insulins and combinations

Metformin and combinations

Sulfonylureas

DPP4Is and combinations

GLP1As and combinations

SGLT2Is and combinations

DDD/TID

  

DDD/TID

  

DDD/TID

  

DDD/TID

  

DDD/TID

  

DDD/TID

  

DDD/TID

  

Region/County

2015

2021

coeff.

p

2015

2021

coeff.

p

2015

2021

coeff.

p

2015

2021

coeff.

p

2015

2021

coeff.

p

2015

2021

coeff.

p

2015

2021

coeff.

p

Budapest

Budapest

87.0

89.1

0.42

0.128

24.7

22.6

−0.32

0.089

33.9

40.4

1.14

< 0.001*

23.8

14.8

−1.46

< 0.001*

6.7

7.8

0.23

0.009*

0.9

6.3

0.86

0.001*

0.5

5.7

0.88

< 0.001*

Pest

Pest

83.4

88.5

1.09

0.018*

24.3

24.6

0.14

0.353

32.6

39.9

1.32

< 0.001*

23.3

15.2

−1.30

< 0.001*

6.0

8.0

0.40

0.001*

0.7

5.1

0.71

< 0.001*

0.2

5.2

1.20

< 0.001*

Central Transdanubia

Fejer

88.9

98.4

1.72

0.003*

24.6

24.9

0.14

0.549

36.0

46.4

1.73

< 0.001*

24.0

15.4

−1.38

< 0.001*

7.1

9.0

0.38

0.001*

0.9

5.8

0.82

< 0.001*

0.6

8.3

1.31

< 0.001*

Komarom-Esztergom

88.6

94.7

1.30

0.009*

26.0

25.2

−0.01

0.936

34.6

43.4

1.54

< 0.001*

24.8

18.4

−0.99

< 0.001*

5.5

7.0

0.29

< 0.001*

0.6

4.0

0.57

< 0.001*

0.2

5.8

1.17

< 0.001*

Veszprem

86.8

94.9

1.46

0.002*

24.6

25.2

0.14

0.427

35.8

42.5

1.15

< 0.001*

22.9

15.6

−1.18

< 0.001*

6.0

8.9

0.53

< 0.001*

0.5

5.1

0.75

< 0.001*

0.6

6.9

1.13

< 0.001*

Western Transdanubia

Gyor-Moson-Sopron

81.9

82.5

0.18

0.432

20.2

19.5

−0.07

0.504

32.5

38.8

1.07

< 0.001*

26.3

17.7

−1.42

< 0.001*

5.6

6.9

0.26

0.004*

0.6

3.3

0.44

< 0.001*

0.1

5.1

0.87

< 0.001*

Vas

98.0

102.2

0.82

0.023*

27.4

24.7

−0.41

0.065

37.8

47.7

1.68

< 0.001*

28.4

18.6

−1.60

< 0.001*

5.8

8.3

0.47

0.003*

1.1

7.0

1.00

< 0.001*

0.3

6.9

1.50

< 0.001*

Zala

96.1

111.0

2.83

< 0.001*

29.4

30.3

0.33

0.235

32.0

43.4

1.98

< 0.001*

29.6

24.2

−0.79

< 0.001*

8.6

11.8

0.60

< 0.001*

0.5

5.3

0.80

< 0.001*

0.6

8.8

1.05

< 0.001*

Southern Transdanubia

Baranya

100.9

108.9

1.48

0.006*

33.5

29.7

−0.65

0.014*

33.3

45.7

2.11

< 0.001*

29.4

21.1

−1.31

< 0.001*

7.7

9.2

0.30

0.018*

1.0

6.4

0.90

< 0.001*

0.6

8.4

1.33

< 0.001*

Somogy

97.7

109.1

2.12

< 0.001*

26.9

26.9

0.05

0.772

38.6

49.3

1.89

< 0.001*

28.2

20.5

−1.26

< 0.001*

7.4

9.1

0.34

0.003*

1.0

6.8

0.98

< 0.001*

0.5

8.9

0.83

< 0.001*

Tolna

103.1

115.5

2.30

< 0.001*

32.6

33.1

0.15

0.407

39.1

52.0

2.26

< 0.001*

25.8

17.1

−1.40

< 0.001*

8.6

11.1

0.46

0.012*

1.3

7.8

1.09

< 0.001*

0.4

9.1

0.92

< 0.001*

Northern Hungary

Borsod-Abauj-Zemplen

86.8

93.5

1.30

0.004*

26.7

26.1

−0.04

0.811

29.8

39.1

1.61

< 0.001*

26.5

20.6

−0.93

< 0.001*

5.5

8.1

0.50

< 0.001*

0.8

3.8

0.51

< 0.001*

0.7

6.9

1.05

< 0.001*

Heves

91.2

98.6

1.49

0.006*

27.2

28.5

0.32

0.231

32.1

40.6

1.50

< 0.001*

29.0

21.7

−1.11

< 0.001*

6.5

8.8

0.48

< 0.001*

0.7

3.9

0.53

< 0.001*

0.5

6.3

0.97

< 0.001*

Nograd

86.1

92.3

1.29

0.006*

23.0

23.3

0.15

0.392

30.5

38.4

1.41

< 0.001*

29.4

23.5

−0.99

< 0.001*

6.7

9.5

0.55

< 0.001*

0.6

2.6

0.32

< 0.001*

0.6

7.5

0.99

< 0.001*

Northern Great Plain

Hajdu-Bihar

81.5

87.5

1.26

0.005*

20.5

20.8

0.11

0.297

32.0

40.1

1.45

< 0.001*

26.6

19.4

−1.06

< 0.001*

6.4

8.9

0.47

< 0.001*

0.5

3.9

0.57

< 0.001*

0.3

6.8

1.08

< 0.001*

Jasz-Nagykun-Szolnok

94.3

104.5

2.16

0.003*

30.5

31.7

0.32

0.077

31.0

40.7

1.72

< 0.001*

28.2

21.9

−0.84

0.004*

7.4

10.0

0.49

< 0.001*

0.7

3.6

0.49

< 0.001*

0.3

7.1

1.08

< 0.001*

Szabolcs-Szatmar-Bereg

75.4

83.6

1.70

0.002*

25.8

25.5

0.10

0.565

25.6

35.6

1.72

< 0.001*

21.5

15.0

−0.98

< 0.001*

5.4

7.9

0.49

< 0.001*

0.6

4.0

0.57

< 0.001*

0.3

5.6

1.45

< 0.001*

Southern Great Plain

Bacs-Kiskun

90.1

99.6

1.88

< 0.001*

25.6

25.7

0.04

0.814

34.6

44.4

1.74

< 0.001*

25.8

19.6

−0.80

0.007*

8.4

10.9

0.43

< 0.001*

0.7

3.7

0.51

< 0.001*

0.5

9.1

1.49

< 0.001*

Bekes

100.2

116.7

3.24

< 0.001*

29.4

30.0

0.16

0.422

32.6

45.7

2.32

< 0.001*

33.8

30.1

−0.28

0,333

7.7

9.7

0.37

< 0.001*

0.5

3.5

0.48

< 0.001*

0.5

9.8

1.57

< 0.001*

Csongrad-Csanad

84.6

94.5

2.49

0.009*

24.6

23.4

−0.14

0.296

30.4

42.8

2.38

< 0.001*

26.4

18.7

−0.79

0,105

5.2

8.1

0.52

< 0.001*

0.7

4.4

0.60

< 0.001*

0.7

8.5

1.33

< 0.001*

Hungary

88.1

94.8

1.35

0.004*

25.7

25.1

−0.03

0.858

32.9

41.8

1.56

< 0.001*

25.7

18.2

−1.16

< 0.001*

6.6

8.6

0.39

0.001*

0.7

4.9

0.69

< 0.001*

0.4

6.8

1.37

< 0.001*

  1. Table shows drug utilization data (expressed in DDD/TID) in the beginning year (2015) and in the ending year (2021). Regarding utilization trends, regression coefficient describes trends showing the average annual changes, the positive coefficient means increasing, negative coefficient means decreasing tendency
  2. DDD/TID: Defined daily dose per 1000 inhabitants per day; coeff.: regression coefficient; GLP1A: GLP-1 analogues; DPP4I: DPP-4 inhibitors; SGLT2I: SGLT-2 inhibitors; *p < 0.05