Table 3.
Suitability of PharmD graduates for working in hospital settings | Perceived competency differences between BPharm and PharmD graduates | |||||||
---|---|---|---|---|---|---|---|---|
Number (%) of respondents | Univariatea | Number (%) of respondents | Univariatea | |||||
Characteristics | Yes | No | χ2 value | p-value | Yes | No | χ2 value | p-value |
Gender | ||||||||
Male | 20 (76.9) | 6 (23.1) | 0.003 | 0.956 | 15 (57.7) | 11 (42.3) | 0.096 | 0.757 |
Female | 55 (76.4) | 17 (23.6) | 39 (54.2) | 33 (45.8) | ||||
Age range | ||||||||
<25–35 years | 48 (75.0) | 16 (25.0) | 0.241 | 0.624 | 33 (51.6) | 31 (48.4) | 0.934 | 0.334 |
>35 years | 27 (79.4) | 7 (20.6) | 21 (61.8) | 13 (38.2) | ||||
Highest academic degree | ||||||||
PharmD | 12 (92.3) | 1 (7.7) | 0.289c | 12 (92.3) | 1 (7.7) | 8.386 | 0.004b | |
Others (BPharm and MPharm) | 63 (74.1) | 22 (25.9) | 42 (49.4) | 43 (50.6) | ||||
Experienced working with PharmD graduates | ||||||||
Yes | 66 (88) | 9 (12) | 23.405 | <0.001b | 46 (61.3) | 29 (38.7) | 5.016 | 0.025b |
No | 9 (39.1) | 14 (60.9) | 8 (34.8) | 15 (65.2) | ||||
Years at current experiences | ||||||||
0–10 | 44 (72.1) | 17 (27.9) | 1.741 | 0.187 | 30 (49.2) | 31 (50.8) | 2.290 | 0.130 |
11–20 | 31 (83.8) | 6 (16.2) | 24 (64.9) | 13 (35.1) | ||||
Work place | ||||||||
Public | 71 (76.3) | 22 (23.7) | 1.000c | 51 (54.8) | 42 (45.2) | 1.000c | ||
Private | 4 (80.0) | 1 (20.0) | 3 (60.0) | 2 (40.0) | ||||
Setting region | ||||||||
BKK & central | 29 (78.4) | 8 (21.6) | 0.113 | 0.737 | 19 (51.4) | 18 (48.6) | 0.338 | 0.561 |
Other | 46 (75.4) | 15 (24.6) | 35 (57.4) | 26 (42.6) | ||||
Area of practiced | ||||||||
Hospital service | 51 (77.3) | 15 (22.7) | 0.062 | 0.803 | 36 (54.5) | 30 (45.5) | 0.025 | 0.874 |
Home health care service/family pharmacist & consumer protection | 24 (75.0) | 8 (25.0) | 18 (56.3) | 14 (43.8) | ||||
Training preceptor | ||||||||
Yes | 33 (71.7) | 13 (28.3) | 0.701 | 0.402 | 27 (58.7) | 19 (41.3) | 0.416 | 0.519 |
No | 38 (79.2) | 10 (20.8) | 25 (52.1) | 23 (47.9) |
aChi-square test was used to determine the association between variables, and Fisher’s exact test was used when more than 20 % of the cells had an expected count of less than 5
bSignificant at p < 0.05
cFisher’s exact test
dResponsibilities of Thai hospital pharmacists were including hospital service and also home health care service/family pharmacist & customer protection