| Beta | P value | Confidence interval | |
---|---|---|---|---|
Lower | Upper | |||
Domain 0: pharmaceutical knowledge | ||||
Age | 0.007 | 0.929 | − 0.148 | 0.162 |
Gender (female vs male*) | 0.047 | 0.966 | − 2.174 | 2.269 |
Year of experience | 0.115 | 0.156 | − 0.046 | 0.276 |
Number of working hours per day | 0.208 | 0.124 | − 0.059 | 0.475 |
university graduated as a pharmacist (UL vs other*) | 2.336 | 0.206 | − 1.327 | 5.999 |
university graduated as a pharmacist (USJ vs other*) | 1.040 | 0.458 | − 1.754 | 3.834 |
university graduated as a pharmacist (BAU vs other*) | 1.826 | 0.146 | − 0.658 | 4.310 |
Level of education BS (yes vs no*) | 0.722 | 0.632 | − 2.285 | 3.729 |
Level of education PhD (yes vs no*) | − 0.724 | 0.609 | − 3.554 | 2.105 |
Highest degree (PhD, Masters, MBA vs PharmD, BS*) | 0.437 | 0.703 | − 1.856 | 2.730 |
Domain 1: professional communication skills | ||||
Age | − 0.131 | 0.580 | − 0.606 | 0.343 |
Gender (female vs male*) | − 4.381 | 0.203 | − 11.202 | 2.440 |
Year of experience | 0.261 | 0.293 | − 0.232 | 0.754 |
Number of working hours per day | 0.645 | 0.120 | − 0.175 | 1.466 |
university graduated as a pharmacist (UL vs other*) | 1.351 | 0.810 | − 9.896 | 12.598 |
university graduated as a pharmacist (USJ vs other*) | − 1.940 | 0.652 | − 10.519 | 6.640 |
university graduated as a pharmacist (BAU vs other*) | − 2.210 | 0.563 | − 9.838 | 5.419 |
Level of education BS (yes vs no*) | 2.392 | 0.605 | − 6.841 | 11.625 |
Level of education PhD (yes vs no*) | − 3.461 | 0.427 | − 12.149 | 5.227 |
Highest degree (PhD, Masters, MBA vs PharmD, BS*) | − 3.139 | 0.375 | − 10.179 | 3.901 |
Domain 2: organization and management skills | ||||
Age | − 0.141 | 0.277 | − 0.398 | 0.117 |
Gender (female vs male*) | − 4.952 | 0.010 | − 8.649 | − 1.255 |
Year of experience | 0.176 | 0.191 | − 0.091 | 0.443 |
Number of working hours per day | 0.433 | 0.056 | − 0.011 | 0.878 |
university graduated as a pharmacist (UL vs other*) | 2.785 | 0.363 | − 3.311 | 8.881 |
university graduated as a pharmacist (USJ vs other*) | − 0.354 | 0.879 | − 5.004 | 4.296 |
university graduated as a pharmacist (BAU vs other*) | − 3.126 | 0.135 | − 7.260 | 1.009 |
Level of education BS (yes vs no*) | 3.383 | 0.181 | − 1.622 | 8.387 |
Level of education PhD (yes vs no*) | − 3.005 | 0.206 | − 7.715 | 1.704 |
Highest degree (PhD, Masters, MBA vs PharmD, BS*) | − 2.153 | 0.262 | − 5.969 | 1.663 |
Domain 3: professional practice | ||||
Age | − 0.075 | 0.445 | − 0.271 | 0.121 |
Gender (female vs male*) | − 3.187 | 0.028 | − 6.005 | − 0.368 |
Year of experience | 0.027 | 0.788 | − 0.176 | 0.231 |
Number of working hours per day | 0.498 | 0.005 | 0.159 | 0.837 |
university graduated as a pharmacist (UL vs other*) | 3.215 | 0.171 | − 1.433 | 7.863 |
university graduated as a pharmacist (USJ vs other*) | 0.513 | 0.772 | − 3.033 | 4.058 |
university graduated as a pharmacist (BAU vs other*) | − 1.339 | 0.398 | − 4.491 | 1.814 |
Level of education BS (yes vs no*) | 5.042 | 0.011 | 1.226 | 8.857 |
Level of education PhD (yes vs no*) | − 1.658 | 0.358 | − 5.249 | 1.933 |
Highest degree (PhD, Masters, MBA vs PharmD, BS*) | − 1.423 | 0.331 | − 4.332 | 1.487 |
Domain 4: personal practice | ||||
Age | − 0.022 | 0.522 | − 0.089 | 0.046 |
Gender (female vs male*) | − 1.006 | 0.042 | − 1.973 | − 0.038 |
Year of experience | 0.030 | 0.399 | − 0.040 | 0.100 |
Number of working hours per day | 0.113 | 0.058 | − 0.004 | 0.229 |
university graduated as a pharmacist (UL vs other*) | 1.106 | 0.170 | − 0.489 | 2.702 |
university graduated as a pharmacist (USJ vs other*) | − 0.402 | 0.510 | − 1.619 | 0.815 |
university graduated as a pharmacist (BAU vs other*) | − 0.622 | 0.254 | − 1.704 | 0.460 |
Level of education BS (yes vs no*) | 1.146 | 0.085 | − 0.164 | 2.456 |
Level of education PhD (yes vs no*) | − 0.787 | 0.206 | − 2.019 | 0.446 |
Highest degree (PhD, Masters, MBA vs PharmD, BS*) | − 0.164 | 0.743 | − 1.163 | 0.835 |
Domain 5: upper management | ||||
Age | − 0.220 | 0.244 | − 0.595 | 0.155 |
Gender (female vs male*) | − 2.791 | 0.303 | − 8.176 | 2.595 |
Year of experience | 0.355 | 0.073 | − 0.034 | 0.744 |
Number of working hours per day | 0.385 | 0.238 | − 0.263 | 1.033 |
university graduated as a pharmacist (UL vs other*) | 3.493 | 0.433 | − 5.386 | 12.373 |
university graduated as a pharmacist (USJ vs other*) | − 2.768 | 0.415 | − 9.542 | 4.005 |
university graduated as a pharmacist (BAU vs other*) | − 2.833 | 0.349 | − 8.856 | 3.190 |
Level of education BS (yes vs no*) | 4.244 | 0.248 | − 3.045 | 11.534 |
Level of education PhD (yes vs no*) | − 1.714 | 0.618 | − 8.573 | 5.146 |
Highest degree (PhD, Masters, MBA vs PharmD, BS*) | − 1.356 | 0.626 | − 6.914 | 4.202 |
Domain 6: preparedness and emergency response | ||||
Age | 0.011 | 0.970 | − 0.573 | 0.595 |
Gender (female vs male*) | − 1.558 | 0.711 | − 9.945 | 6.830 |
Year of experience | − 0.299 | 0.327 | − 0.905 | 0.308 |
Number of working hours per day | 1.062 | 0.040 | 0.053 | 2.071 |
university graduated as a pharmacist (UL vs other*) | 2.235 | 0.747 | − 11.595 | 16.065 |
university graduated as a pharmacist (USJ vs other*) | − 7.781 | 0.145 | − 18.331 | 2.769 |
university graduated as a pharmacist (BAU vs other*) | 1.997 | 0.671 | − 7.383 | 11.378 |
Level of education BS (yes vs no*) | 10.933 | 0.059 | − 0.421 | 22.287 |
Level of education PhD (yes vs no*) | 9.078 | 0.094 | − 1.606 | 19.761 |
Highest degree (PhD, Masters, MBA vs PharmD, BS*) | 0.457 | 0.916 | − 8.200 | 9.114 |