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Table 1 Summary of characteristics of subjects in each group (N = 200 patients in total)

From: Allergy transcription before and after the implementation of an inpatient electronic prescribing system in a tertiary referral hospital: a case study in two oncology wards

Characteristic

Paper prescribing n = 100 patients (%)

Electronic Prescribing n = 100 patients (%)

p Value

Age of patient (years)

0.085 (t-test)

Mean ± Standard Deviation (SD)

59.0 ± 15.11

62.54 ± 13.75

Median

61.0

64.5

Range

26 to 89

24 to 85

Duration of Hospital Stay (days)

0.488 (t-test)

Mean ± SD

6.9 ± 6.65

7.7 ± 9.39

Median

5.0

5.0

Range

0 to 42

0 to 62

Gender of patient

1.00 (Chi-squared)

Male

64 (64)

64 (64)

Female

36 (36)

36 (36)

Allergy status

0.716 (Chi-squared)

Reported allergy

32 (32)

28 (28)

No known drug allergy

68 (68)

72 (72)

Subject died during admission

0.552 (Chi-squared)

Yes

5 (5)

7 (7)

No

95 (95)

93 (93)

Errors in transcription of allergy from admission documentation to inpatient system

  

(Chi-squared)

Incomplete entries (N = 200 patients)

4 of 100 (4 %)

9 of 100 (9 %)

0.152

Illegible (handwritten only) or incorrect entries (wrong drug selected) (N = 200 patients)

7 of 100 (7 %)

5 of 100 (5 %)

0.616

Profession/Grade of admitting clinician

0.676 (Chi-squared)

Nurse

1 (1)

1(1)

Junior doctor, note all qualified more than one year.

79 (79)

74 (74)

Registrar

24 (24)

20 (20)

Not recorded in medical notes

0 (0)

1 (1)

Gender of admitting clinician

  

0.517 (Chi-squared)

Male

51 (51)

43 (43)

Female

46 (46)

53 (53)

Not known to data collector

3 (3)

4 (4)