Table 1 Participant's sociodemographic data (n = 359)
Variable | Category | Count (%) |
|---|---|---|
Age (year) | 20–30 | 298 (83.2) |
31–40 | 49 (13.7) | |
41–51 | 11 (3.1) | |
Gender | Male | 141 (39.3) |
Female | 218 (60.7) | |
Degree | BSc | 317 (88.5) |
Master | 31 (8.7) | |
PhD | 10 (2.8) | |
Profession | Academic and research | 35 (9.7) |
Community and hospital pharmacies | 138 (38.4) | |
Drug manufacturing company | 65 (18.1) | |
Others (management, health insurance and regulatory, medical representative, business, marketing) | 121 (33.7) | |
A prior understanding of technology for artificial intelligence or natural language processing | Significant experience in pharmacy practice | 32 (8.9) |
Some in pharmacy practice | 100 (27.9) | |
Some, but not in pharmacy practice | 174 (48.5) | |
None | 53 (14.8) | |
Proficiency with digital technology and computers (grade yourself) | Poor | 11 (3.1) |
Fair | 43 (12.0) | |
Good | 130 (36.2) | |
Very good | 122 (34.0) | |
Excellent | 53 (14.8) | |
Have you heard of ChatGPT? | Yes | 253 (70.5) |
No/Not sure | 106 (29.5) |