Pharmacist‐led, prescription intervention system‐assisted feedback to reduce prescribing errors: A retrospective study
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....
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Published in | Journal of clinical pharmacy and therapeutics Vol. 46; no. 6; pp. 1606 - 1612 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley & Sons, Inc
01.12.2021
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | Funding information Funding was obtained from the special fund project for clinical research for therapeutic drug monitoring of the Shandong Medical Association (YXH2020ZX047), Shandong Province 2019 TCM science and technology development plan project: Construction of TCM evaluation system based on real‐world evidence, decision tree and Markoff model (2019‐0329) and the special fund project for clinical pharmacy scientific research of the Shandong Medical Association (YXH2019ZX016). Jing Yang and Lei Zheng contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0269-4727 1365-2710 1365-2710 |
DOI: | 10.1111/jcpt.13491 |