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Table 4 Characteristics of population and variables included (II).

From: Differences in referral rates to specialised health care from four primary health care models in Klaipeda, Lithuania

   

Physician referrals

Self-referrals

 

Included variables

Number of individuals

Proportion of all listed patients

Referrals/1000 patient years

Proportion of referrals/1000 patient years

Referrals/1000 patient years

Proportion of referrals/1000 patient years

Proportion of self-referrals to all referrals

 

N

%

N

%

N

%

%

PHC model

       

   Public practices

10973

4.4

780

17.6

174

14.9

18.3

   Private practices

41849

16.7

1271

28.6

335

28.8

20.9

   Public polyclinics

173738

69.5

1114

25.1

309

26.5

21.7

   Private polyclinics

23510

9.4

1278

28.8

346

29.7

21.3

Age-years

       

   0–19

54969

22.0

1348

21.5

290

17.8

17.7

   20–39

78528

31.4

633

10.1

322

19.7

33.7

   40–59

69056

27.6

1075

17.1

286

17.5

21.0

   60–79

41303

16.5

1922

30.6

377

23.1

16.4

   80-

6214

2.5

1296

20.7

355

21.8

21.5

Gender

       

   female

133257

53.3

1269

56.0

321

51.4

20.2

   male

116813

46.7

996

44.0

304

48.6

23.4

Patient's place of residence

       

   urban

222706

89.1

1166

55.4

331

66.3

22.1

   rural

27364

10.9

940

44.6

168

33.7

15.2

Co-morbidity level (RUB)

       

   RUB 0

79802

31.9

2

0.01

2

0.1

50.0

   RUB 1

39494

15.8

254

1.5

196

7.7

43.6

   RUB 2

54740

21.9

1113

6.6

448

17.6

28.7

   RUB 3

66417

26.6

2423

14.4

543

21.4

18.3

   RUB 4

8335

3.3

5214

31.0

959

37.8

15.5

   RUB 5

1282

0.5

7797

46.4

392

15.4

4.8

  1. RUB – resource utilisation band