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Table 3 Logistic regression model of factors associated with healthcare professionals’ satisfaction with the medication surveillance program

From: Physician and pharmacist satisfaction and clinical needs for the real-time medication surveillance program in South Korea

Independent variables OR (95% CI)
(modeling the likelihood of being classified into a higher level of satisfaction)
Adjusted OR (95% CI)a
(modeling the likelihood of being classified into a higher level of satisfaction)
Profession
 Physician 1.00 1.00
 Pharmacists 2.02 (1.62–2.52) 2.13 (1.65–2.76)
Gender
 Male 1.00 1.00
 Female 1.07 (0.87–1.33) 1.00 (0.77–1.31)
Age (years)
 20–29 1.00 1.00
 30–39 0.94 (0.64–1.39) 1.18 (0.75–1.87)
 40–49 1.03 (0.68–1.55) 1.04 (0.61–1.76)
 50–59 1.63 (1.05–2.55) 1.72 (0.93–3.17)
 60+ 2.20 (1.33–3.64) 2.63 (1.36–5.09)
Region
 Metropolitan 1.00 1.00
 City 1.12 (0.83–1.50) 0.99 (0.72–1.36)
 Rural 1.16 (0.87–1.54) 1.07 (0.78–1.47)
Career (years)
  < 5 1.00 1.00
 5–9 0.83 (0.61–1.14) 0.80 (0.56–1.13)
 10–14 1.11 (0.80–1.55) 1.07 (0.73–1.57)
 15–19 1.13 (0.74–1.73) 1.05 (0.64–1.74)
 20+ 1.56 (1.14–2.12) 1.06 (0.68–1.66)
Hospital or Pharmacy type
 Tertiary hospital/Hospital pharmacy 1.00 1.00
 Hospital/Pharmacy nearby hospital 1.85 (1.38–2.49) 1.62 (1.18–2.21)
 Clinic/Community pharmacy 1.33 (1.03–1.71) 1.22 (0.92–1.61)
  1. AOR Adjusted odds ratio, IC Confidence interval
  2. aAdjusted for profession, gender, age, region, years of practice, type of medical institution or pharmacy, and specialty
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