某院5种口服溶液批生产量的优化预测与启示
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摘要
目的:预测5种口服溶液的最佳单批生产量和年生产批次,为生产设备更新选型与合理控制成本提供支持,亦为医院新建制剂室优化生产管理提供参考。方法:回顾性分析5种口服溶液连续4个效期内的临床使用量,采用量化决策方法,根据各制剂的临床使用特点,对权重系数进行调整,预测效期内用量与最佳单批次生产量。结果:5种口服溶液优化预测的单批次生产量比现有规模呈5～7倍增加,而年生产批次则随之大幅减少,尤其复方氯化铵甘草口服溶液(原名棕铵合剂),可由年生产95批次锐减至13批次。结论:优化预测可以为医院制剂的生产规模进行适宜调整提供参考,从而降低单包装生产与检验分摊成本。同时,也有益于新建制剂室生产设备选型与未来规模设计的统筹管理。
Objective: To predict the optimal single-batch production and annual production batches for five oral solutions in order to support equipment upgrade and control reasonable cost as well as provide reference for optimizing production management of new preparation room. Methods: The clinical use of the five oral solutions in four consecutive validity periods was retrospectively analyzed.Decision analysis was used to predict the optimal single-batch production and annual production batches for the five oral solutions. The weight coefficient was adjusted according to the clinical characteristics of each preparation. Results: The optimal single-batch production for the five oral solutions was five to seven times larger than the current scale while the annual production batches were greatly reduced. In particular,compound ammonium chloride and glycyrrhiza oral solution( formerly known as brown mixture) were reduced from 95 batches to 13 batches per year. Conclusion: The optimal prediction can provide reference for the appropriate adjustment of production scale of hospital preparations to lower the cost of single packaging production. At the same time,it is also beneficial to the overall management of production equipment selection and future scale design for new preparation room.
Objective: To predict the optimal single-batch production and annual production batches for five oral solutions in order to support equipment upgrade and control reasonable cost as well as provide reference for optimizing production management of new preparation room. Methods: The clinical use of the five oral solutions in four consecutive validity periods was retrospectively analyzed.Decision analysis was used to predict the optimal single-batch production and annual production batches for the five oral solutions. The weight coefficient was adjusted according to the clinical characteristics of each preparation. Results: The optimal single-batch production for the five oral solutions was five to seven times larger than the current scale while the annual production batches were greatly reduced. In particular,compound ammonium chloride and glycyrrhiza oral solution( formerly known as brown mixture) were reduced from 95 batches to 13 batches per year. Conclusion: The optimal prediction can provide reference for the appropriate adjustment of production scale of hospital preparations to lower the cost of single packaging production. At the same time,it is also beneficial to the overall management of production equipment selection and future scale design for new preparation room.
引文
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2 张健,娄月芬,李方,等.新形势下医院制剂的现状及发展思路[J].中国药房,2004,15(11):644-646
3 陈锦珊,曾棋平,李杰,等.某军队三甲综合性医院制剂发展分析[J].解放军药学学报,2017,33(6):574-576
4 金鹏飞,刘凤琴,刘建中,等.医院制剂的现状分析及发展建议[J].中国药学杂志,2014,49(4):348-350
5 北京市食品药品监督管理局.北京市医疗机构制剂规程[S].第1册. 2014. 94-95
6 沈小庆,盛炳义,王珏,等.决策分析方法在医院药品采购中的应用[J].中国医院管理,2003,23(11):37-38
7 林捷,盛斌,闵好,等.医院制剂批生产数量的管理[J].药学服务与研究,2012,12(6):479-480
8 Thornton JG,Lilford RJ,Johnson N. Decision analysis in medicine[J]. BMJ,1992,304(6834):1099-1103
9 沈小庆,何葵葵,盛炳义,等.医院制剂最佳批生产量数学模型的建立与探讨[J].中国医院药学杂志,2006,26(2):210-211
10 杨樱,王宝君.浅议医院制剂室的未来发展模式[J].中国卫生标准管理,2017,8(21):26-28
11 杜彦秋,李碧艳.医院制剂发展新思路[J].海峡药学,2017,29(11):291-292
12 王阿贞.医院制剂室的现状分析与展望-以R医院制剂室成本效益分析为例[J].经济师,2017,(6):241-243
13 张翠莲,刘建茹,李鹏,等.医院自制制剂发展策略的探讨[J].实用药物与临床,2008,11(6):390-392