Literature DB >> 33608438

Cost-effectiveness of two technology-assisted manual medication picking systems versus traditional manual picking in a hospital outpatient pharmacy.

Marcus Eng Hwa Teo1, Bih Yee Chia1, Yeng Ching Lee1, Pearlyn Li Ying Tay1, Jane Ai Wong1, Soo Boon Lee1, Mun Moon Lim1, McVin Hua Heng Cheen2,3.   

Abstract

OBJECTIVE: To evaluate the cost-effectiveness of two technology assisted manual medication picking systems vs traditional manual picking.
METHODS: This was a retrospective observational study comparing three outpatient pharmacies of a tertiary referral hospital in Singapore, where a light-emitting diode (LED-guided) manual picking system, an LED-guided manual picking plus lockable drawer (LED-LD) system, and traditional manual picking were implemented, respectively. The primary outcome measure was the incidence of medication near-misses over the observation period. The incremental cost-effectiveness ratio (ICER) per near-miss avoided was also determined. Data on medications picked and near-misses reported between September 2017 and June 2018 were retrieved from electronic databases. The incidence of medication near-misses from the LED-guided and LED-LD systems, relative to traditional picking, was compared using logistic regression. We compared annual operating costs between manual medication picking systems, and reported ICERs per near-miss avoided, to evaluate the cost-effectiveness of each picking system.
RESULTS: A total of 358 144, 397 343 and 254 162 medications were picked by traditional manual picking, LED-guided and LED-LD systems, respectively. The corresponding near-miss rates were 8.32, 4.08 and 0.69 per 10 000 medications picked, respectively. Medication near-miss rates were significantly lower for the LED-guided (OR 0.49, 95% CI 0.40 to 0.59, p<0.001) and LED-LD systems (OR 0.08, 95% CI 0.05 to 0.13, p<0.001) compared with traditional picking. The annual operating costs of traditional picking, LED-guided and LED-LD systems were S$60 912, S$129 832 and S$152 894, respectively. The LED-guided and LED-LD systems yielded ICERs of S$189 and S$140 per near-miss avoided, respectively, compared with traditional manual picking.
CONCLUSION: The LED-LD system is more cost-effective than both the LED-guided and manual medication picking systems in reducing medication picking near-misses. © European Association of Hospital Pharmacists 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Singapore; automation; cost-effectiveness; medication safety; pharmacy; technology

Mesh:

Year:  2019        PMID: 33608438      PMCID: PMC7907698          DOI: 10.1136/ejhpharm-2019-001997

Source DB:  PubMed          Journal:  Eur J Hosp Pharm        ISSN: 2047-9956


  15 in total

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3.  Cost-Effectiveness Analysis of an Automated Medication System Implemented in a Danish Hospital Setting.

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4.  The impact of automation on pharmacy staff experience of workplace stressors.

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Review 5.  A review of medication incidents reported to the National Reporting and Learning System in England and Wales over 6 years (2005-2010).

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6.  Errors in the medication process: frequency, type, and potential clinical consequences.

Authors:  Marianne Lisby; Lars Peter Nielsen; Jan Mainz
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Review 7.  Economic impact of medication error: a systematic review.

Authors:  Elaine K Walsh; Christina Raae Hansen; Laura J Sahm; Patricia M Kearney; Edel Doherty; Colin P Bradley
Journal:  Pharmacoepidemiol Drug Saf       Date:  2017-03-13       Impact factor: 2.890

8.  Approaches to outpatient pharmacy automation: a systematic review.

Authors:  Yilin Sng; Chin Kheng Ong; Yi Feng Lai
Journal:  Eur J Hosp Pharm       Date:  2018-03-29

9.  Impact of robotic dispensing machines in german pharmacies on business performance indicators.

Authors:  F Ruhle; R Braun; H Ostermann
Journal:  Libyan J Med       Date:  2009-12-01       Impact factor: 1.657

10.  Effect of automated drug distribution systems on medication error rates in a short-stay geriatric unit.

Authors:  Etienne Cousein; Julie Mareville; Alexandre Lerooy; Antoine Caillau; Julien Labreuche; Delphine Dambre; Pascal Odou; Jean-Paul Bonte; François Puisieux; Bertrand Decaudin; Patrick Coupé
Journal:  J Eval Clin Pract       Date:  2014-06-11       Impact factor: 2.431

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