Skip to main content

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