California Pharmacist Winter 2026 - Flipbook - Page 11
Survey Methodology
The study employed a cross-sectional survey design using a convenience sample of licensed pharmacists
practicing in the United States. The survey was distributed in January 2026 through 2 primary channels: (1)
the California Pharmacists Association (CPhA) email distribution list and (2) attendees of a CPhA-hosted
webinar focused on AI in pharmacy practice. Participation was voluntary, and responses were collected
anonymously.
Study participants (n = 57) were consenting, English-speaking pharmacists with diverse demographic
backgrounds. Respondent ages were approximately equal across the 18-34 (n = 13), 35-44 (n = 12), 45-54
(n = 13), and 55+ (n = 16) groups. Gender identities were similar (27 females, 26 males, 4 prefer not to say).
Most respondents were Asian (42.1%) or White (38.6%) individuals; 7 respondents preferred not to say, 3
individuals identified as Black or African American, and 2 individuals identified as Hispanic or Latino.
Other data included practice characteristics, Likert-scale items assessing perceptions of AI benefits and
risks, and multiple-choice questions addressing trust, preparedness, workforce impact, and perceived
barriers to AI adoption. Results are reported descriptively.
Because recruitment occurred through professional association channels and an AI-focused educational
event, findings cannot be generalized to all pharmacists. However, the results provide timely insights into
early professional attitudes toward AI among pharmacists actively engaged with emerging practice issues.
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California Pharmacist | vol. 73, no. 1
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