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Table 2 Subgroup analysis of rates of prescribing errors in each category

From: Prescribing errors in electronic prescriptions for outpatients intercepted by pharmacists and the impact of prescribing workload on error rate in a Chinese tertiary-care women and children’s hospital

Category

Total

Prescriptions with error

Total error ratesa

P value

OR [95% CI]

No. of drug orders per prescriptionb

   

0.001c

1.14 [1.06–1.23]

 1

70,540

200

0.28%

  

 2

40,630

124

0.31%

  

 3

22,101

101

0.46%

  

 4

11,215

52

0.46%

  

 5

5401

32

0.59%

  

 6

564

1

0.18%

  

 7

101

0

0.00%

  

 8

31

0

0.00%

  

 9

23

0

0.00%

  

 10

5

0

0.00%

  

Total

150,611

510

0.34%

  

Age groups of patients

   

0.09c

 

 Neonate (~ 28 days)

6038

11

0.18%

Reference

 

 Infant (29 days to 12 months)

17,218

72

0.42%

0.01

2.33 [1.23–4.40]

 Child (1 to 12 years)

41,292

166

0.40%

0.02

2.03 [1.10–3.76]

 Adolescent (13 to 18 years)

700

2

0.29%

0.57

1.57 [0.34–7.36]

 Adult (18 year~)

85,363

259

0.30%

0.42

1.43 [0.60–3.42]

Total

150,611

510

0.34%

  

Seniority of physicians

   

0.31c

 

 Junior

11,960

36

0.30%

Reference

 

 Intermediate

52,621

155

0.29%

0.40

0.85 [0.58–1.24]

 Senior

86,030

319

0.37%

0.98

0.99 [0.70–1.42]

Total

150,611

510

0.34%

  

Specialty of physicians

   

< 0.001c

 

 Ophthalmology and otorhinolaryngology

5615

39

0.69%

Reference

 

 Family planning

13,421

75

0.56%

0.78

1.11 [0.55–2.26]

 General surgery

4763

23

0.48%

0.76

0.89 [0.40–1.94]

 Pediatrics

55,713

206

0.37%

< 0.001

0.45 [0.32–0.64]

 General medicine

3807

13

0.34%

0.34

0.66 [0.28–1.55]

 Reproductive medicine

12,634

38

0.30%

0.18

0.60 [0.28–1.27]

 Gynecology

33,962

86

0.25%

0.04

0.49 [0.25–0.96]

 Obstetrics

16,702

26

0.16%

0.003

0.31 [0.14–0.66]

 Dermatology

3994

4

0.10%

< 0.001

0.13 [0.05–0.37]

Total

150,611

510

0.34%

  

Work day

   

< 0.001c

 

 Weekends

30,534

72

0.24%

Reference

 

 Weekdays

120,077

438

0.36%

< 0.001

1.65 [1.27–2.14]

Total

150,611

510

0.34%

  

Workload

   

0.97c

 

 Low

75,862

268

0.35%

Reference

 

 High

74,749

242

0.32%

0.97

1.00 [0.83–1.19]

Total

150,611

510

0.34%

  
  1. a The rates were calculated by no. of prescriptions with errors by total prescriptions in each subgroup
  2. b The predictor of drug order was not taken into list box of categorical covariates at SPSS
  3. c Total p value of each predictor from likelihood ratio test