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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)