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在中国四川的一家三级医院中使用智能配药机器人实施化疗药物小瓶共享策略的成本分析。

Cost analysis of implementing a vial-sharing strategy for chemotherapy drugs using intelligent dispensing robots in a tertiary Chinese hospital in Sichuan.

机构信息

Department of Pharmacy, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Personalized Drug Therapy Key Laboratory of Sichuan Province, Chengdu, China.

出版信息

Front Public Health. 2022 Sep 21;10:936686. doi: 10.3389/fpubh.2022.936686. eCollection 2022.

Abstract

INTRODUCTION

Chemotherapy drug wasting is a huge problem in oncology that not only results in excessive expenses on chemotherapy drugs but also increases the cost of disposing of chemotherapy waste and the risk of occupational exposure in the environment. The main objective of this study was to evaluate the potential for hospitals in China to employ a real-time vial-sharing strategy that can save drug costs.

METHOD

This study was conducted retrospectively at Pharmacy Intravenous Admixture Services (PIVAS), People's Hospital of Sichuan Province, China, from September to November 2021. Data on prescription drugs wasted were collected from the Hospital Information System (HIS). To assess the real-time vial-sharing strategy, we estimated drug wastage and drug waste costs using intelligent robots that dispense multiple prescriptions simultaneously.

RESULTS

24 of the 46 wasted drugs were cost-saved. The vial-sharing strategy saved 186,067 mg of drugs, or ~59.08% of the total amount wasted, resulting in savings of 150,073.53 China Yuan (CNY), or 47.51% of the cost of the total waste.

CONCLUSION

Our investigation established that employing a real-time vial-sharing strategy using an intelligent robot to dispense multiple prescriptions simultaneously is cost-effective. Additionally, this approach presented no safety issue concerns, such as the introduction of impurities to sterile compounding repeated interspersing or the incorrect registration of information during drug storage, often encountered with traditional vial-sharing strategies.

摘要

简介

化疗药物浪费是肿瘤学中的一个大问题,不仅导致化疗药物的过度支出,还增加了化疗废物处理的成本和环境中职业暴露的风险。本研究的主要目的是评估中国医院采用实时瓶共享策略的潜力,以节省药物成本。

方法

本研究于 2021 年 9 月至 11 月在四川省人民医院药学静脉药物调配中心(PIVAS)进行回顾性研究。从医院信息系统(HIS)中收集处方药物浪费数据。为了评估实时瓶共享策略,我们使用同时分配多个处方的智能机器人来估计药物浪费和药物浪费成本。

结果

46 种浪费药物中有 24 种可节省成本。瓶共享策略节省了 186067 毫克药物,约占总浪费量的 59.08%,节省了 150073.53 元人民币(CNY),约占总浪费成本的 47.51%。

结论

我们的调查表明,使用智能机器人同时分配多个处方的实时瓶共享策略具有成本效益。此外,这种方法不存在安全问题,例如引入杂质到无菌混合、重复穿插或在药物储存期间信息登记不正确等问题,这些问题通常是传统瓶共享策略中遇到的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8498/9534289/8819760823a4/fpubh-10-936686-g0001.jpg

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