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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