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Table 3 Variable affect on pharmacist’s knowledge

From: A cross-sectional study of the availability and pharmacist’s knowledge of nano-pharmaceutical drugs in Palestinian hospitals

Variable Frequency (%) N = 56 Median pharmaceutical formulation score [interquartile range] p-value Median pharmaceutical Nano-formulation score [interquartile range] p-value P-value between the median of pharmacutical formulation and nanoformulation
Gender
 Male 20 (35.7) 4.0 [3.25–4.00] 0.157a 2.5 [1.25–3.00] 0.159 a < 0.001a
 Female 36 (64.3) 3.0 [3.00–4.00]   1.0 [0.25–3.00]   < 0.001a
Type of Hospital
 Governmental 29 (51.8) 3.0 [2.50–4.00] 0.515b 2.0 [1.00–3.00] 0.579 b < 0.001a
 Private 16 (28.6) 4.0 [3.00–4.00]   1.5 [1.00–3.00]   < 0.001a
 NGOs 11 (19.6) 4.0 [2.00–4.00]   1.0 [0.00–3.00]   0.007a
Education level
 Bachelor 49 (87.5) 4.0 [3.00–4.00] 0.92 a 2.0 [0.50–3.00] 0.092 a < 0.001a
 Master 7 (12.5) 4.0 [3.00–4.00]   3.0 [1.00–3.00]   0.117a
Graduation university
 Local Universities 40 (71.4) 3.0 [2.25–4.00] 0.018 a 2.0 [0.25–3.00] 0.390 a < 0.001a
 International Universities 16 (28.6) 4.0 [4.00–4.00]   2.0 [1.00–3.00]   < 0.001a
Experience (years)
 0–5 25 (44.6) 3.0 [2.50–4.00] 0.139 b 2.0 [1.00–3.00] 0.920 b < 0.001a
 5–10 14 (25.0) 4.0 [3.75–4.00]   2.0 [1.00–3.00]   < 0.001a
 > 10 17 (30.4) 3.5 [2.50–4.00]   1.0 [0.00–3.00]   0.001a
  1. a Statistical significance of differences calculated using the Mann-Whitney U test
  2. b Statistical significance of differences calculated using the Kruskal Wallis test
  3. P-value > 0.05 is insignificant value