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Table 1 Characteristics of population and variables included (I).

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

 

Public practices

Private practices

Public polyclinics

Private polyclinics

 

N (%)

N (%)

N (%)

N (%)

Number of listed patients

10973

41849

173738

23510

Gender

    

   female

5663 (51.61%)

23275 (55.62%)

90839 (52.28%)

13480 (57.34%)

   male

5310 (48.39%)

18574 (44.38%)

82899 (47.72%)

10030 (42.66%)

Age

    

   0–19

3204 (29.20%)

12509 (29.89%)

31415 (18.08%)

7841 (33.35%)

   20–39

3178 (28.96%)

12266 (29.31%)

55598 (32.00%)

7486 (31.84%)

   40–59

2511 (22.88%)

10177 (24.32%)

51362 (29.56%)

5006 (21.29%)

   60–79

1787 (16.28%)

5789 (13.83%)

31011 (17.85%)

2716 (11.55%)

   over 80

293 (2.67%)

1108 (2.65%)

4352 (2.50%)

461 (1.96%)

Place of residence

    

   urban

3076 (28.03%)

38423 (91.81%)

158081 (90.99%)

23126 (98.37%)

   rural

7897 (71.97%)

3426 (8.19%)

15657 (9.01%)

384 (1.63%)

Co-morbidity level

    

   RUB 0

2963 (27.00%)

10858 (25.94%)

60983 (35.10%)

4998 (21.26%)

   RUB 1

2744 (25.01%)

7057 (16.83%)

25429 (14.64%)

4264 (18.14%)

   RUB 2

2383 (21.72%)

10558 (25.23%)

35468 (20.41%)

6331 (26.93%)

   RUB 3

2542 (23.16%)

11776 (28.14%)

45147 (25.98%)

6952 (29.57%)

   RUB 4

301 (2.74%)

1394 (3.33%)

5794 (3.33%)

846 (3.60%)

   RUB 5

40 (0.36%)

206 (0.49%)

917 (0.53%)

119 (0.51%)

  1. RUB – resource utilisation band