Pharmacist-led, prescription intervention system-assisted feedback to reduce prescribing errors: A retrospective study.

J Clin Pharm Ther

Department of Intensive Care Unit, Shandong Provincial Third Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, P.R. China.

Published: December 2021

What Is Known And Objective: Prescribing errors are prevalent in hospital settings, with provision of feedback recommended to support prescribing by doctors. To evaluate the impact of a pharmacist-led prescription intervention system on prescribing error rates and to measure intervention efficiency.

Methods: All prescribers in Shandong Provincial Third Hospital received feedback from ward pharmacists using a pharmacist-led prescription intervention system. The prescribing error rate was calculated from Oct 2019 to December 2020. After the intervention was applied, the rates of PASS 1 (System pass), PASS 2 (Pharmacist pass) and PASS 3 (Pharmacist-doctor pass) events and the feedback time were calculated each month.

Results And Discussion: Irrational use of drugs was reduced and the prescription rate increased significantly. The error rate reduced from 6.94% to 1.96%, representing an estimated 71.76% decrease overall (p < 0.05). The PASS 1 rate gradually increased from 88% to 96% (p < 0.05), the PASS 2 rate gradually decreased from 5.06% to 2.04% (p < 0.05), the PASS 3 rate gradually decreased from 6.94% to 1.96% (p < 0.05).

What Is New And Conclusion: The pharmacist-led prescription intervention system has the potential to reduce prescribing errors and improve prescribing outcomes and patient safety.

Download full-text PDF

Source
http://dx.doi.org/10.1111/jcpt.13491DOI Listing

Publication Analysis

Top Keywords

pharmacist-led prescription
12
prescription intervention
12
prescribing errors
8
intervention system
8
system prescribing
8
prescribing error
8
error rate
8
pass pass
8
pass
6
intervention
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!