Table 1 Sociodemographic, academic, and professional details of the panelists who participated in the study (n = 76)
|  | Interviewees (n = 19) | Delphi rounds (n = 76) | Analytic Hierarchy Process (n = 10) | |||
|---|---|---|---|---|---|---|
Variable | n | % | n | % | n | % |
Gender | ||||||
 Male | 13 | 68.4 | 45 | 59.2 | 6 | 60.0 |
 Female | 6 | 31.6 | 31 | 40.8 | 4 | 40.0 |
Age (years) | ||||||
  < 40 | 3 | 15.8 | 34 | 44.7 | 2 | 20.0 |
  ≥ 40 | 16 | 84.2 | 42 | 55.3 | 8 | 80.0 |
Academic qualifications | ||||||
 BSc | 5 | 26.3 | 16 | 21.1 | 2 | 20.0 |
 MSc | 2 | 10.5 | 13 | 17.1 | 2 | 20.0 |
 PhD | 2 | 10.5 | 9 | 11.8 | 1 | 10.0 |
 MD | 6 | 31.6 | 28 | 36.8 | 3 | 30.0 |
 Pharm.D | 1 | 5.3 | 4 | 5.3 | – | – |
 MD/PhD | 3 | 15.8 | 6 | 7.9 | 2 | 20.0 |
Specialty/rank/hierarchy | ||||||
 Physician | 10 | 52.6 | 32 | 42.1 | 5 | 50.0 |
  Intern | 3 | 15.8 | 5 | 6.6 | 1 | 10.0 |
  Resident | 4 | 21.1 | 11 | 14.5 | 2 | 20.0 |
  Specialist/consultant (internists) | 3 | 15.8 | 16 | 21.1 | 2 | 20.0 |
 Hospital pharmacists | 2 | 10.5 | 11 | 14.5 | 1 | 10.0 |
  Staff (<  10 years) | 1 | 5.3 | 5 | 6.6 | – | – |
  Senior (≥ 10 years) | 1 | 5.3 | 6 | 7.9 | 1 | 10.0 |
 Nurse | 4 | 21.1 | 14 | 18.4 | 1 | 10.0 |
  Staff (<  10 years) | 1 | 5.3 | 6 | 7.9 | – | – |
  Senior (≥ 10 years) | 3 | 15.8 | 8 | 10.5 | 1 | 10.0 |
 IT/Programming | 3 | 15.8 | 19 | 25.0 | 3 | 30.0 |
  Junior (<  10 years) | 1 | 5.3 | 8 | 10.5 | 1 | 10.0 |
  Senior (≥ 10 years) | 2 | 10.5 | 11 | 14.5 | 2 | 20.0 |
 Employer |  |  |  |  |  | 0.0 |
  Public hospital | 9 | 47.4 | 42 | 55.3 | 4 | 40.0 |
  Private hospital | 7 | 36.8 | 18 | 23.7 | 3 | 30.0 |
  IT/Programming sector | 3 | 15.8 | 16 | 21.1 | 3 | 30.0 |