Figures & data
Table 1 Sociodemographic and other characteristics of the pharmacists with managerial positions in sales and marketing (N = 60)
Table 2 Factor analysis of the competencies of Lebanese pharmacists with managerial positions in sales and marketing (Promax rotated component matrix)
Table 3 Correlation analysis between the domains and competencies
Table 4 Multivariable analysis of covariance (MANCOVA)
Fig. 1 Mean values of the domain scoring by highest degree (high academic degree vs low) adjusted for age, gender, year of experience, number of working hours per day, and university of graduation as a pharmacist (p > 0.05 for all). Domain 0: Pharmaceutical knowledge; Domain 1: Professional communication; Domain 2: Organization and management; Domain 3: Professional Practice; Domain 4: Personal Practice; Domain 5: Upper management; Domain 6: Preparedness and Response to Emergency
![Fig. 1 Mean values of the domain scoring by highest degree (high academic degree vs low) adjusted for age, gender, year of experience, number of working hours per day, and university of graduation as a pharmacist (p > 0.05 for all). Domain 0: Pharmaceutical knowledge; Domain 1: Professional communication; Domain 2: Organization and management; Domain 3: Professional Practice; Domain 4: Personal Practice; Domain 5: Upper management; Domain 6: Preparedness and Response to Emergency](/cms/asset/072c79b4-a85e-460f-92b5-4cb3920011ef/jppp_a_12370120_f0001.jpg)
Fig. 2 Mean values of the domain by gender, adjusted for age, highest degree, year of experience, number of working hours per day, and university of graduation as a pharmacist. Domain 0: Pharmaceutical knowledge; Domain 1: Professional communication; Domain 2: Organization and management; Domain 3: Professional Practice; Domain 4: Personal Practice; Domain 5: Upper management; Domain 6: Preparedness and Response to Emergency. P-values were: Domain 0: 0.113; Domain 1: 0.007; Domain 2: 0.006; Domain 3: 0.009; Domain 4:0.066; Domain 5: 0.745; Domain 6: 0.131
![Fig. 2 Mean values of the domain by gender, adjusted for age, highest degree, year of experience, number of working hours per day, and university of graduation as a pharmacist. Domain 0: Pharmaceutical knowledge; Domain 1: Professional communication; Domain 2: Organization and management; Domain 3: Professional Practice; Domain 4: Personal Practice; Domain 5: Upper management; Domain 6: Preparedness and Response to Emergency. P-values were: Domain 0: 0.113; Domain 1: 0.007; Domain 2: 0.006; Domain 3: 0.009; Domain 4:0.066; Domain 5: 0.745; Domain 6: 0.131](/cms/asset/db70c96c-f23a-40b4-b552-42d28aa19ee0/jppp_a_12370120_f0002.jpg)
Fig. 3 Mean values of the domain scoring by experience quartile, adjusted for age, gender, highest degree, number of working hours per day, and university of graduation as a pharmacist. Domain 0: Pharmaceutical knowledge; Domain 1: Professional communication; Domain 2: Organization & management; Domain 3: Professional Practice; Domain 4: Personal Practice; Domain 5: Upper management; Domain 6: Preparedness and Response to Emergency. P-values for polynomial contrasts were: Domain 0: 0.132; Domain 1: 0.013; Domain 2: 0.114; Domain 3: 0.282; Domain 4:0.009; Domain 5: 0.051; Domain 6: 0.775
![Fig. 3 Mean values of the domain scoring by experience quartile, adjusted for age, gender, highest degree, number of working hours per day, and university of graduation as a pharmacist. Domain 0: Pharmaceutical knowledge; Domain 1: Professional communication; Domain 2: Organization & management; Domain 3: Professional Practice; Domain 4: Personal Practice; Domain 5: Upper management; Domain 6: Preparedness and Response to Emergency. P-values for polynomial contrasts were: Domain 0: 0.132; Domain 1: 0.013; Domain 2: 0.114; Domain 3: 0.282; Domain 4:0.009; Domain 5: 0.051; Domain 6: 0.775](/cms/asset/e2902ea8-e3a9-49b2-acc3-c5b82196b766/jppp_a_12370120_f0003.jpg)
jppp_a_12370120_sm0001.pdf
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The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.