[Economic impact of an automated dispensing system in an intensive care unit].
OBJECTIVE
Automated dispensing systems (ADS) allow a reduction of medication errors and an improvement of drug distribution in clinical ward. The objective of this study was to evaluate the economic impact of ADS in an intensive care unit.


METHODS
A cost-benefit model was constructed based on the hospital perspective.


METHODS
The system was evaluated before-after implementation of an ADS in a 12-bed cardiovascular intensive care unit of a French teaching hospital: (a) by a measuring nurse and pharmacy technician working time required for various tasks; (b) by measuring the cost of drug storage and the cost of expired drug; (c) by measuring the nurses' acceptability.


RESULTS
After ADS was installed, nursing personnel spent less time on medication-related activities (mean of 1.9 hour/day of nursing time). Pharmacy technicians spent more time on floor-stock activities (mean of 0.7 hour/day of technician time). Implementation reduced the cost of drug storage by 56% (14,742 euros) and cost of expired drug by 9,086 euros per year. Finally, cost-benefit analysis including potential savings in terms of working time showed a net benefit of 71,586 euros (14,317 euros/year). The ADS was given high marks by the nurses; 77% wanted to keep it on their unit.


CONCLUSIONS
Implementation of ADS is expected to generate direct savings for the hospital and working time reallocation, for nurses to interact with patients and for pharmacy technicians to get involved on the ward.
Kheniene
F
F
Pôle pharmacie, centre hospitalo-universitaire de Grenoble, B.P. 217, 38043 Grenoble cedex 9, France.
Bedouch
P
P
Durand
M
M
Marie
F
F
Brudieu
E
E
Tourlonnias
M-M
MM
Bongi
P
P
Allenet
B
B
Calop
J
J
D001331:Automation / Q000191:economics*; D003362:Cost-Benefit Analysis; D005602:France; D006801:Humans; D007362:Intensive Care Units; D007902:Length of Stay; D008509:Medication Systems; D008510:Medication Systems, Hospital / Q000191:economics; D009741:Nursing Staff, Hospital; D016019:Survival Analysis