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Table 2 Socio-economic factors and the use of three major anti-malarial drugs

From: Factors determining anti-malarial drug use in a peri-urban population from malaria holoendemic region of western kenya

Socio-economic factors

Drugs taken

Duration of use

Dosage of use

  

SP

ACT

Quinine

Correct

Incorrect

Correct

Incorrect

Education level

Primary

19 (35.8%)

18 (34.0%)

5 (9.4%)

28 (52.8%)

25 (47.2%)

44 (83.0%)

9 (17.0%)

 

Secondary

19 (39.6%)

15 (31.3%)

1 (2.1%)

5 (50.0%)

21 (43.8%)

36 (75.0%)

12 (25.0%)

 

Post-Secondary

5 (50.0%)

3 (30.0%)

0

27 (56.3%)

5 (50.0%)

6 (60%)

4 (40.0%)

 

Still in school

17 (30.4%)

20 (35.7%)

4 (7.1%)

37 (66.1%)

19 (33.9%)

45 (80.4%)

11(19.6%)

 

None

4 (33.3%)

0

1 (8.3%)

10 (83.3%)

2 (16.7%)

8 (66.7%)

4(33.3%)

 

Under 6

83 (38.1%)

71 (32.6%)

17(7.8%)

121 (55.5%)

97 (44.5%)

165 (75.7%)

53(24.3%)

HH breadwinner

Husband

105 (37.9%)

97 (35.0%)

16 (5.8%)

164 (59.2%)

113 (40.8%)

219 (79.1%)

58 (20.9%)

 

Wife

21 (33.3%)

18 (28.6%)

4 (6.3%)

30 (47.6%)

33 (52.4%)

45 (71.4%)

18 (28.6%)

 

Others

21 (37.3%)

11 (20.4%)

8 (14.8%)

34 (61.1%)

22 (38.9%)

39 (68.5%)

17 (31.5%)

HH inc. source

Salaried

27 (33.8%)

29 (36.3%)

6 (7.5%)

50 (62.5%)

30 (37.5%)

65 (81.3%)

15 (18.8%)

 

Self employed

53 (35.3%)

47 (31.3%)

7 (4.7%)

96 (64.0%)

54 (36.0%)

110 (73.3%)

40 (26.7%)

 

Petty business

42 (41.6%)

27(26.7%)

11 (10.9%)

51 (50.5%)

50 (49.5%)

79 (78.2%)

22 (21.8%)

 

Casual worker

24 (39.3%)

23 (37.7%)

4 (6.6%)

29 (47.5%)

32 (52.5%)

47 (77.0%)

14 (23.0%)

 

Farming

1 (50.0%)

1 (50.0%)

0

1 (50.0%)

1 (50.0%)

1(50.0%)

1 (50.0%)

 

Others

0

0

0

1(50.0%)

1 (50.0%)

1 (50.0%)

1 (50.0%)

HH monthly inc.

Below Ksh.4500

56 (34.4%)

48 (29.4%)

11 (6.7%)

85 (52.1%)

78 (47.9%)

115 (70.6%)

48 (29.4%)

 

Ksh.4500-9000

74 (40.2%)

58 (31.5%)

12 (6.5%)

111 (60.3%)

73(39.7%)

147 (79.9%)

37 (20.1%)

 

Over Ksh. 9000

17 (35.4%)

21 (43.8%)

4(8.3%)

30 (62.5%)

18 (37.5%)

40 (83.3%)

8 (16.7%)

Ability to read

Able to read

121 (38.2%)

114 (36.0%)

20 (6.3%)

181 (57.1%)

136 (42.9%)

246 (77.6%)

71 (22.4%)

 

Unable to read

26 (32.9%)

13 (16.5%)

7 (8.9%)

46 (58.2%)

33 (41.8%)

57 (72.2%)

22 (27.8%)

  1. Data are presented as proportions (n,%). HH-Household, SP- Sulfadoxine pyremethamine, ACT- Artemether-based combined therapies, inc.-Income. From the results above the drugs that were taken by majority of the respondents were SP and ACT in all the socio-economic factors considered, with very small differences in proportions in each category. In addition, averagely half of the households had used drugs for correct duration, unlike households whose breadwinners were wives (47.6%) and those who depended on casual work as the main source of income (47.5%). Moreover, most households took correct dosages of drugs with majority scoring more than 70% in each socio-economic factor considered.