摘要
目的了解医院中药饮片使用情况,促进中药合理用药。方法筛选我校医院2017年6月-2018年2月中药内服处方5 020张,通过Excel软件进行统计分析。结果患者主要为高校学生和老年人,平均年龄(50.22±23.82)岁,处方平均(5.46±2.34)剂,平均用药(12.42±6.80)味,单剂平均重量(169.06±82.75)g;常用前20种中药中有13种平均用量超药典规定,6种平均用量超过药典最大量30%以上;毒性中药共19种,其中14种平均用量超药典规定,13种超量达药典最大量30%以上。结论患者年龄分布符合高校社区特征,处方剂数、用药味数和用量基本合理,但存在大处方现象和用药超量现象,毒性中药超量情况较一般中药超量情况严重,还需予以重视。应加强中医医师和药师对中药知识的交流和学习,以提高用药安全性。
Objective To understand the status of traditional Chinese medicine(TCM)prescriptions in the hospital,and to promote rational use of TCM.Methods By using Excel software,5 020 TCM prescriptions for oral administration in our university hospital from June 2017 to February 2018 were filtered and analyzed.Results Patients were mostly university students and elderly,with the average age of(50.22±23.82)years,the average dosage per prescription was(5.46±2.34),average number of drugs per prescription was(12.42±6.80),average weight per prescription was(169.06±82.75)g.Of the 20 most common used drugs,13 of them were overdosed averagely,while 6 of them overdosed 30%higher than the Chinese Pharmacopoeia.Of the 19 toxic Chinese medicine,14 of them were overdosed averagely,while 13 of them overdosed 30%higher than the Chinese Pharmacopoeia.Conclusion The age distribution of the patients is in line with the characteristics of the university community.The number of prescriptions,the number of drugs and the dosage are basically reasonable,but the big prescription phenomenon and the overdose of drugs exist.The overdose of toxic Chinese medicine is more serious than that of the common TCM,and more attention is needed.It is high time that the knowledge exchange of TCM within TCM doctors and TCM pharmacists should be emphasized to improve the safety of TCM.
作者
徐春梅
荣朝
薛承斌
XU Chunmei;RONG Chao;XUE Chengbin(Pharmacy,Huazhong University of Science and Technology Hospital,Hubei Province,Wuhan 430074,China)
出处
《临床合理用药杂志》
2019年第25期5-7,共3页
Chinese Journal of Clinical Rational Drug Use
基金
武汉市中青年医学骨干培养工程项目(No:2016YXMS177)
关键词
高校社区医院
中药处方
用药分析
University community hospital
TCM prescriptions
Medication analysis
