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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