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Table 5 Difference in knowledge, attitude and perception score towards pharmacogenomics among community pharmacists

From: Knowledge, attitude and perception of community pharmacists towards pharmacogenomics services in northern Nigeria: a cross-sectional study

Variable

Total attitude score

Total perception score

Total knowledge score

Mean (SD)

p value

Median (range)

p value

Mean (SD)

p value

Gender

 Male

6.5 ± 1.9

0.621*

36.0 (0–45)

0.039**

10.8 ± 2.2

0.481*

 Female

6.7 ± 2.1

33.0 (21–45)

10.9 ± 2.5

Age group

 20–29

6.0 ± 1.5

 < 0.001#

33.0 (21–45)

0.013##

10.4 ± 2.4

0.241#

 30–39

6.8 ± 1.9

37.0 (26–44)

11.1 ± 2.4

 40–49

7.9 ± 2.0

32.5 (25–45)

11.2 ± 1.5

 50 and above

6.8 ± 2.9

38.5 (0–42)

11.8 ± 1.2

Years of working experience

 ≤ 10 years

6.6 ± 1.9

0.423*

34.0 (21–45)

0.086**

10.8 ± 2.4

0.187*

 > 10 years

7.1 ± 2.5

36.0 (0–45)

11.4 ± 1.9

Highest academic qualification

 Undergraduate degree

6.6 ± 1.9

0.042*

34.0 (21–45)

0.010**

10.7 ± 2.3

0.028*

 Postgraduate degree

7.2 ± 2.3

39.0 (0–45)

11.7 ± 1.9

Position

 Owner

7.2 ± 2.5

0.004#

37.0 (0–45)

0.103##

12.1 ± 1.7

0.001#

 Pharmacist

6.5 ± 1.9

34 (21–45)

10.6 ± 2.4

 Manager

8.2 ± 1.5

38 (26–43)

12.1 ± 1.6

Previous pharmacogenomics training

 Yes

8.1 ± 1.7

< 0.001*

40.0 (21–45)

0.002**

11.9 ± 1.7

0.001*

 No/don’t know

6.2 ± 1.9

34.0 (0–45)

10.5 ± 2.4

Interest in attending pharmacogenomics training in future

 Yes

6.7 ± 1.9

0.118*

35.0 (0–45)

0.123**

10.9 ± 2.2

0.346*

 No/don’t know

5.3 ± 1.3

39.5 (33–41)

8.3 ± 4.9

  1. *T-test; **Mann–Whitney U test; #one-way ANOVA test; ##Kruskal–Wallis test
  2. Bold font denotes statistical significance