Table 3
Pharmacy-level means, standard deviations, and íntercorrelations of pharmacy characteristics and dispensing errorsab
M SD 1 2 3 4 5 6 7 8 9 10
1 Number of employees 6.69 3.77 -
2 Mean age 49.85 5.66 −0.05 -
3 Mean education 2.20 0.26 0.13** 0.06 -
4 Age diversity1 10.25 3.69 0.14** −0.45** −0.06 -
5 Education diversity1 0.43 0.19 0.37** −0.12** 0.26** 0.10* -
6 Birth country diversity2 0.15 0.21 0.12** −0.23** −0.13** 0.09* 0.24** -
7 Education country diversity2 0.08 0.15 0.12** −0.17** −0.16** 0.05 0.28** 0.71** -
8 Role diversity2 0.53 0.13 0.06 0.03 0.38** −0.04 0.50** 0.02 0.06 -
9 Response rate 66.68 21.56 0.06 0.04 0.08* 0.02 −0.03 −0.06 −0.04 0.15** -
10 DPI3 50276.59 26562.48 0.79** −0.08 0.03 0.10* 0.32** 0.16** 0.14** −0.03 −0.39** -
11 Dispensing errors 6.35 5.82 0.53** −0.11* −0.01 0.07 0.25** 0.19** 0.20** −0.02 −0.26** 0.64**

a Pharmacy-level N = 546.

b For correlations |0.09|, p < .05; |0.11|, p < .01.

1 Age diversity and Education diversity is an assessment of Standard Deviation.

2 Birth Country Diversity, Education Country Diversity and Role Diversity is calculated using Blau’s index; an index to measure variety across categories. It ranges from 0 to 1, with 1 indicative of more variety in a given grouping [36].

3 Dispensed Prescription Items.

Nordén-Hägg et al. BMC Pharmacology and Toxicology 2012 13:4   doi:10.1186/2050-6511-13-4

Open Data