Patient, Provider, and Health System Leader Demographics
| Patients | Providers | Health System Leader | |
|---|---|---|---|
| Province | |||
| British Columbia | 1 (4.5%) | 1 (4.8%) | 1 (20%) |
| Alberta | 4 (18%) | 2 (9.5%) | |
| Saskatchewan | - | - | 1 (20%) |
| Manitoba | - | 5 (24%) | |
| New Brunswick | 1 (4.5%) | - | |
| Nova Scotia | 3 (14%) | 1 (4.8%)* | |
| Ontario | 12 (55%) | 11 (52%) | 3 (60%) |
| Quebec | 1 (4.5%) | 1 (4.8%) | |
| Age in years Range, mean (SD) | 23 to 73, 40 (16%) | 28 to 64, 42 (8.7%) | |
| Gender n (%) | |||
| Female† | 12 (55%) | 9 (43%) | |
| Male | 9 (41%) | 12 (57%) | |
| Nonbinary | 1 (5%) | - | |
| Race or ethnicity n (%) | |||
| Black | 2 (9%) | 1 (4.8%) | |
| East/Southeast Asian | 1 (5%) | 2 (9.5%) | |
| South Asian | 6 (27%) | 5 (24%) | |
| White | 13 (59%) | 10 (48%) | |
| Mixed | - | 3 (14%) | |
| Self-rated artificial intelligence knowledge‡ Mean (SD) | 2.7 (1.1) | 3.3 (1.2) | |
| Provider type | |||
| Chiropractor | - | 1 (4.8%) | - |
| Clerical staff | - | 1 (4.8%) | - |
| Family physician | - | 14 (67%) | - |
| Family medicine resident | - | 2 (9.5%) | - |
| Nurse practitioner | - | 2 (9.5%) | - |
| Social worker | - | 1 (4.8%) | - |
| Years in practice Mean (SD)§ | - | 12 (10) | - |
| Practice size‖ | |||
| <250 patients | - | 6 (30%) | - |
| 250 to 750 patients | - | 6 (30%) | - |
| 750 to 1250 patients | - | 5 (25%) | - |
| Full-time equivalent clinical hours per week Mean (SD)¶ | - | 0.67 (0.30%) | - |
Notes: Due to rounding, some totals may not perfectly sum to 100.
↵* Canadian province in which Denmark-licensed family physician studied health information technology in primary care settings.
↵†Including one trans woman.
↵‡Participants rated their knowledge of AI on 5 five-point Likert scale (1 was “Not knowledgeable at all,” 5 was “extremely knowledgeable.”
↵§ Calculation includes years in residency.
↵‖ Excluding residents, clerical participant.
↵¶ Calculation excludes clerical participant.
Abbreviation: SD, standard deviation.