Skip to main content

Table 2 Distribution of physicians’ prescription goals according to patients’ characteristics

From: Drug prescription goals in primary care: a cross-sectional study

 

Mortality

Morbidity

Cure

Symptom

Quality of life

Functioning

Other or none

Total

 

Total

429

(8.5%)

1128

(22.4%)

587

(11.7%)

2183

(43.3%)

534

(10.6%)

91

(1.8%)

84

(1.7%)

5036 (100%)

 

Gender

               

p < 0.01

Male

213

(10.0%)

564

(26.4%)

213

(10.0%)

858

(40.2%)

217

(10.2%)

41

(1.9%)

28

(1.3%)

2134 (100%)

 

Female

216

(7.4%)

564

(19.4%)

374

(12.9%)

1325

(45.7%)

317

(10.9%)

50

(1.7%)

56

(1.9%)

2902 (100%)

 

Age

               

p < 0.01

0–44

44

(2.7%)

151

(9.1%)

271

(16.4%)

970

(58.7%)

151

(9.1%)

24

(1.5%)

42

(2.5%)

1653(100%)

 

≥45

385

(14.7%)

977

(31.6%)

316

(6.7%)

1213

(31.9%)

383

(11.7%)

67

(2.1%)

42

(1.3%)

3383 (100%)

 

Patient known by physician

               

p < 0.01

Yes

420

(8.7%)

1103

(23.0%)

561

(11.7%)

2046

(42.6%)

512

(10.7%)

83

(1.7%)

79

(1.6%)

4804 (100%)

 

No

9

(3.9%)

25

(10.8%)

26

(11.2%)

137

(59.1%)

22

(9.5%)

8

(3.4%)

5

(2.2%)

232 (100%)

 

Long term condition

               

p < 0.01

Yes

285

(16.6%)

564

(32.9%)

112

(6.5%)

492

(28.7%)

200

(11.7%)

39

(2.3%)

21

(1.2%)

1713 (100%)

 

No

144

(4.3%)

564

(17.0%)

475

(14.3%)

1691

(50.9%)

334

(10.1%)

52

(1.6%)

63

(1.9%)

3323 (100%)

 

Low income

               

NA

Yes

18

(8.2%)

29

(13.2%)

25

(11.4%)

108

(49.1%)

36

(16.4%)

0

(0%)

4

(1.8%)

220 (100%)

 

No

411

(8.5%)

1099

(22.8%)

562

(11.7%)

2075

(43.1%)

498

(10.3%)

91

(1.7%)

91

(1.7%)

4816 (100%)

 
  1. NA Chi-square test not available due to a theoretical sample < 5
Back to article page

BMC Health Services Research

ISSN: 1472-6963

Contact us