Skip to main content

Table 1 General characteristics of pharmacists and pharmacies

From: Consumption of pharmaceutical drugs in exception region of separation for drug prescribing and dispensing program in South Korea

Variables Separation of drug prescribing and dispensing (N=16,455) Test statistics (df) P-Value
Exception Application
N/Mean %/SD N/Mean %/SD
Pharmacy characteristics       
 Sex of pharmacist     
 Male 224 72.5 8,036 49.8 X 2(1)=62.6  
 Female 85 27.5 8,110 50.2   
Age of pharmacist (years)     
 ≤45 27 8.7 4,890 30.3 X 2(3)=168.1 <.0001a
 46–55 51 16.5 4,367 27.1   
 56–65 74 24 3,268 20.2   
 ≥66 157 50.8 3,621 22.4   
Length of Operation     
 ≤12 months 48 15.5 2,329 14.4 X 2(2)=5.4 0.067a
 13–24 months 49 15.9 1,914 11.9   
≥25 months 212 68.6 11,903 73.7   
Period of exclusion for reformed program       
 ≤18 months 95 30.7 16,146 100 X 2(1)=11329.4 <.0001a
 ≥19 months 214 69.3 0 0   
Total pharmacy cost for drug purchase (10 million KRW) 18.0 ±19.1 75.0 ±75.2 Z=−18.7 <.0001b
Regional Characteristics       
Region       
 Metropolitan (N=74) 14 4.5 8,134 50.4 X 2(1)=254.9 <.0001a
 Non-metropolitan (N=173) 295 95.5 8,012 49.6   
Total number of clinics in regions with pharmacies       
 ≤60 (N=212) 304 98.4 11,961 74.1 X 2(1)=94.3  
 ≥61 (N=35) 5 1.6 4,185 25.9   
Total number of pharmacies in regions with pharmacies       
 ≤45 (N=176) 273 88.4 10,606 65.7 X 2(1)=69.5  
 ≥46 (N=71) 36 11.7 5,540 34.3   
Average per capita income in regions with pharmacies       
 ≤38 million KRW (N=175) 232 75.1 8,442 52.3 X 2(1)=63.2  
 ≥39 million KRW (N=72) 77 24.9 7,704 47.7   
Proportion of national basic livelihood security beneficiaries in regions with pharmacies 3.2 ±1.6 2.9 ±1.5 Z=3.7 0.0002b
Total 309 1.9 16,146 98.1   
  1. Note. Significant level P < 0.05. If these values were lower than 0.05, it indicated that the distribution or mean/standard deviation of each independent variable were differenced by separation of drug prescribing and dispensing. KRW Republic of Korea Won, df degrees of freedom
  2. aP for Chi-square test, Chi-square tests were used to examine the differences in distribution of each categorical variable by separation of drug prescribing and dispensing
  3. bp for Mann–Whitney U test, Mann–Whitney U tests were used to examine differences in mean/standard deviation of each continuous variable by separation of drug prescribing and dispensing