Exploring the relationship between safety culture and reported dispensing errors in a large sample of Swedish community pharmacies

Table 3 Pharmacy-level means, standard deviations, and íntercorrelations of pharmacy characteristics and dispensing errors ^ab

	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.

ISSN: 2050-6511