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. 2021 Aug 23;30(4):237–241. doi: 10.1136/ejhpharm-2021-002849

Table 1.

General characteristics of wards using automated dispensing cabinets and traditional ward stock methods

ADC group TWS group
Opportunities for error
Total number of opportunities for error n=1676 n=1248
  • General internal medicine department

54% (n=906) 44% (n=548)
  • Surgery department

46% (n=770) 56% (n=700)
Pill dispenser
 Number of pillbox preparations observed n=364 n=206
 Mean number of opportunities for error/pillbox n=4.6 n=6.1
Wards participating in the ‘More time for patients’ project
 General internal medicine department n=4 n=3
 Surgery department n=2 n=2
Wards not participating in the ‘More time for patients’ project
 General internal medicine department n=0 n=1
 Surgery department n=2 n=2
Nurses’ employment status
 Number of nurses observed n=77 n=55
 Hospital employee for <3 months 0% (n=0) 2% (n=1)
 Hospital employee for >3 months 77% (n=59) 73% (n=40)
 Substitute nurse 1% (n=1) 7% (n=4)
 Student nurse 4% (n=3) 5% (n=3)
 Agency nurse 18% (n=14) 13% (n=7)
Experience on the ward
 <3 months 29% (n=22) 20% (n=11)
 >3 months 71% (n=55) 80% (n=44)
Experience with the ADC
 <3 months 16% (n=12)
 >3 months 84% (n=65)
Nurse’s hours worked at the time of observation
 <6 hours 99% (n=76) 100% (n=55)
 >6 hours 1% (n=1) 0% (n=0)
Distribution of hours of observation:
 8 am n=30.9% n=17.6%
 12 noon n=17.9% n=17.6%
 6 pm n=20.8% n=21.6%
 8 pm n=18.3% n=21.6%
 10 pm n=12.2% n=21.6%

ADC, automated dispensing cabinet; TWS, traditional ward stock.