合肥市某医院门急诊1 000张处方点评结果分析  

Analysis on results of 1000 prescriptions comments from the outpatient and emergency departments in a hospital of Hefei City

作　　者：吴国翠[1] 吴华[1] 陈伟薇[1] 李阳[1] 祖林燕[1] 王旭东[1] 

机构地区：[1]合肥市第一人民医院集团,滨湖医院药学部,安徽合肥230001

出　　处：《中华疾病控制杂志》2011年第12期1075-1077,共3页Chinese Journal of Disease Control & Prevention

基　　金：安徽医科大学校科研基金(2011xkj088)

摘　　要：目的了解合肥市某医院门急诊处方质量、抗菌药物的使用情况及存在问题,为促进合理用药提供科学依据。方法于2010年6月至2011年3月每月随机抽取门急诊处方各100张,共计1 000张,依据《医院处方点评管理规范(试行)》规定进行处方点评和统计分析。结果该医院门急诊合理处方仅占38.9%,其中电子处方合格率(63.72%)高于手写处方合格率(31.65%),其差异具有统计学意义(χ2=75.66,P<0.001);不合理处方主要表现为不规范处方,占不合理处方的94.11%;抗菌药物使用率为53.80%,前3位的依次为头孢菌素、喹诺酮和大环内酯类,占抗菌药物处方总数的比例分别为40.07%、18.70%和8.18%。结论该院门急诊处方合格率较低,需重视处方质量,加强对处方及抗菌药物应用的管理。Objective To investigate the quality of the prescriptions,the situation and problem of the antibacterial drugs use in outpatient and emergency departments in a hospital of Hefei City,in order to offer a basis for rational use of drugs.Methods 100 prescriptions were randomly selected from the outpatient and emergency departments every month between June 2010 and March 2011.In all,1 000 prescriptions were collected for prescriptions comments and statistical analysis according to Management Practices of Hospital Prescription Comment（Trial）.Results Of the total 1 000 prescriptions,only 38.9% were reasonable,the qualified ratio of electronic prescriptions（63.72%） was significantly higher than the traditional written prescriptions（31.65%）,the difference had statistical significance（χ2=75.66,P0.001）.Among the irrational prescription,the nonstandard prescriptions accounted for 94.11%.The percentage of antibacterial drugs use was 53.80%,the first three commonly used antibacterial were as follows： cephalosporin（40.07%）,quinolones（18.70%） and macrolides（8.18%）.Conclusions The qualified ratio of prescriptions is low in the hospital.It is suggested that attention should be paid to the quality of prescriptions,the management of prescriptions and usage of antibacterial drugs should be strengthened.

关 键 词：处方 药物 抽样研究 抗菌药 

分 类 号：R195[医药卫生—卫生统计学]