Variables | Frequency (%) | |
---|---|---|
Gender | Male | 220 (76.4) |
Female | 68 (23.6) | |
Total | 288 (100) | |
Age | < 25 years | 17 (5.9) |
25–34 years | 210 (72.9) | |
35–44 years | 60 (20.8) | |
45–54 years | 1 (0.3) | |
Total | 288 (100.0) | |
Educational background | Diploma | 75 (26.0) |
BA/BSC | 171(59.4) | |
MSc/MA | 42 (14.6) | |
Total | 288 (100.0) | |
Profession | Pharmacist/druggist | 267 (92.7) |
Lab technologist | 15 (5.2) | |
Biomedical engineer | 5 (1.7) | |
Others | 1 (0.3) | |
Total | 288 (100.0) | |
Work experience | 1–5 years | 168 (58.3) |
6–10 years | 111(38.8) | |
> 10 years | 9 (3.1) | |
Directorate/case team | Quantification and forecasting | 55 (19.1) |
Procurement (tender and contract mgt.) | 49 (17.0) | |
Warehouse and inventory mgt.* | 144 (50.0) | |
Distribution and fleet mgt | 40 (13.9) | |
Total | 288 (100.0) |