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Table 4 Descriptive information

From: Inequalities in medicine use in Central Eastern Europe: an empirical investigation of socioeconomic determinants in eight countries

 

BG

CZ

HU

LV

PL

RO

SI

SK

 

n

%

n

%

n

%

n

%

n

%

n

%

n

%

n

%

Medicine use

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.0

33,416

100.0

17,464

100.0

2,028

100.0

4,737

100.0

 None

2,185

39.9

508

27.2

1,558

31.8

2,161

35.3

7,714

23.1

9,742

55.8

705

34.8

1570

33.1

 Non-prescribed

792

14.5

357

19.1

750

15.3

1,308

21.4

7,036

21.1

1,284

7.4

409

20.2

941

19.9

 Prescribed

1,393

25.4

529

28.3

1,557

31.8

1,381

22.6

7,022

21.0

5,013

28.7

595

29.3

1,051

22.2

 Both

666

12.2

454

24.3

1,031

21.0

1,084

17.7

7,835

23.4

1,351

7.7

318

15.7

1,157

24.4

 Missing

439

8.0

18

1.0

3

0.1

180

2.9

3,809

11.4

74

0.4

1

0.0

18

0.4

Employment status

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.0

33,416

100.0

17,464

86.5

2,028

85.9

4,737

89.9

 Employed

2,682

49.0

995

53.3

2,462

50.3

3,324

54.4

15,836

47.4

8,261

47.3

1,005

49.6

2,798

59.1

 Retired

1,875

34.2

594

31.8

1,322

27.0

1,551

25.4

9,263

27.7

6,132

35.1

553

27.3

991

20.9

 Unemployed, disabled

631

11.5

104

5.6

740

15.1

602

9.9

4,002

12.0

722

4.1

184

9.1

471

9.9

 In training, at home

287

5.2

173

9.3

375

7.7

637

10.4

4,315

12.9

2,349

13.0

286

14.1

477

10.1

 Missing

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

Highest education

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.0

33,416

100.0

17,464

100.0

2,028

100.0

4,737

100.0

 ISCED ≤ 2

1,830

33.4

292

15.6

1,289

26.3

1,760

28.8

7,741

23.2

6,381

36.5

903

44.5

525

11.1

 ISCED 3-4

2,754

50.3

1,370

73.4

2,728

55.7

3,155

51.6

20,257

60.6

9,568

54.8

955

47.1

3,311

69.9

 ISCED 5-6

889

16.2

196

10.5

877

17.9

1,196

19.6

5,418

16.2

1,515

8.7

170

8.4

901

19.0

 Missing

2

0.0

8

0.4

5

0.1

3

0.0

0

0.0

0

0.0

0

0.0

0

0.0

Income quintile

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.0

33,416

100.0

17,464

100.0

2,028

100.0

4,737

100.0

 1

1,384

25.3

189

10.1

1,048

21.4

201

3.3

3,530

10.6

9,592

54.9

260

12.8

559

11.8

 2

577

10.5

217

11.6

890

18.2

2,101

34.4

5,860

17.5

6,190

35.4

358

17.7

947

20.0

 3

787

14.4

383

20.5

1,015

20.7

2,809

45.9

5,915

17.7

595

3.4

281

13.9

1,034

21.8

 4–5

2,452

44.8

683

36.6

1,537

31.4

1,003

16.4

10,884

32.6

171

1.0

611

30.1

1,603

33.8

 Missing

275

5.0

394

21.1

409

8.3

0

0.0

7,227

21.6

916

5.2

518

25.5

594

12.5

Age

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.0

33,416

100.0

17,464

100.0

2,028

100.0

4,737

100.0

 18–29

767

14.0

344

18.4

841

17.2

1,328

21.7

6,673

20.0

2,717

15.6

420

20.7

1,121

23.7

 30–39

751

13.7

344

18.4

919

18.8

963

15.8

5,261

15.7

2,985

17.1

338

16.7

965

20.4

 40–49

894

16.3

243

13.0

756

15.4

984

16.1

5,361

16.0

2,840

16.3

355

17.5

800

16.9

 50–59

1,061

19.4

320

17.1

933

19.0

972

15.9

6,804

20.4

3,320

19.0

380

18.7

837

17.7

 60–69

948

17.3

326

17.5

732

14.9

882

14.4

4,548

13.6

2,593

14.8

279

13.8

577

12.2

 70+

1,054

19.3

289

15.5

718

14.7

985

16.1

4,769

14.3

3,009

17.2

256

12.6

437

9.2

 Missing

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

Gender

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.1

33,416

100.0

17,464

100.0

2,028

100.0

4,737

100.0

 Male

2,588

47.3

891

47.7

2,225

45.4

2,692

44.1

15,295

45.8

8,202

47.0

948

46.8

2,271

47.9

 Female

2,887

52.7

975

52.3

2,674

54.6

3,422

56.0

18,121

54.2

9,262

53.0

1,080

53.3

2,466

52.1

 Missing

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

Chronic conditions

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.0

33,416

100.0

17,464

100.0

2,028

100.0

4,737

100.0

 No

3,020

55.2

951

51.0

1,430

29.2

3,413

55.8

15,705

47.0

11,143

63.8

1,245

61.4

1,957

41.3

 Yes

2,429

44.4

904

48.4

3,467

70.8

2,692

44.0

17,557

52.5

6,206

35.5

779

38.4

2,767

58.4

 Missing

26

0.5

11

0.6

2

0.0

9

0.1

154

0.5

115

0.7

4

0.2

13

0.3

Self-assessed health

5,475

100.0

1,866

100.0

4,899

100.0

6,114

100.0

33,416

100.0

17,464

100.0

2,028

100.0

4,737

100.0

 Good

3,099

56.6

1,161

62.2

2,529

51.6

2,661

43.5

16,287

48.7

11,252

64.4

1,237

61.0

2,975

62.8

 Bad

1,950

35.6

703

37.7

2,369

48.4

3,275

53.6

13,346

39.9

6,204

35.5

789

38.9

1,756

37.1

 Missing

426

7.8

2

0.1

1

0.0

178

2.9

3,783

11.3

8

0.0

2

0.1

6

0.1

  1. Source: Data provided by Eurostat [43]; calculation and presentation by the authors