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社区药房药物相互作用软件的性能

Performance of community pharmacy drug interaction software.

作者信息

Hazlet T K, Lee T A, Hansten P D, Horn J R

机构信息

Department of Pharmacy, School of Pharmacy, University of Washington, Seattle 98195-7630, USA.

出版信息

J Am Pharm Assoc (Wash). 2001 Mar-Apr;41(2):200-4. doi: 10.1016/s1086-5802(16)31230-x.

DOI:10.1016/s1086-5802(16)31230-x
PMID:11297332
Abstract

OBJECTIVE

To evaluate the performance of computerized drug-drug interaction (DDI) software in identifying clinically important drug-drug interactions.

DESIGN

One-time performance test of computer systems using a standard set of prescriptions.

SETTING

Community pharmacies or central corporate locations with pharmacy terminals identical to those used in actual pharmacies.

PARTICIPANTS

Chain and health maintenance organization (HMO) pharmacies with seven or more practice sites in Washington State. A total of nine different DDI software programs were installed in 516 community pharmacies represented by these chains and HMOs.

MAIN OUTCOME MEASURES

Sensitivity, specificity, and positive and negative predictive values of software in detecting 16 well-established DDIs contained within six fictitious patient profiles.

RESULTS

The software systems failed to detect clinically relevant DDIs one-third of the time. Sensitivity of the software programs ranged from 0.44 to 0.88, with 1.00 being perfect; specificity ranged from 0.71 to 1.00; positive predictive value ranged from 0.67 to 1.00; and negative predictive value ranged from 0.69 to 0.90. For software packages that were installed at different locations, between-installation differences were observed.

CONCLUSION

The performance of most DDI-detecting software programs tested in this study was suboptimal. Improvement is needed to advance their contribution to detection of DDIs.

摘要

目的

评估计算机化药物相互作用(DDI)软件在识别具有临床重要性的药物相互作用方面的性能。

设计

使用一组标准处方对计算机系统进行一次性性能测试。

设置

社区药房或公司总部,配备与实际药房使用的相同的药房终端。

参与者

华盛顿州拥有七个或更多执业地点的连锁药房和健康维护组织(HMO)药房。这些连锁药房和HMO所代表的516家社区药房共安装了9种不同的DDI软件程序。

主要观察指标

软件检测六个虚拟患者档案中包含的16种已确定的DDI的敏感性、特异性、阳性预测值和阴性预测值。

结果

软件系统有三分之一的时间未能检测到具有临床相关性的DDI。软件程序的敏感性范围为0.44至0.88(1.00为完美);特异性范围为0.71至1.00;阳性预测值范围为0.67至1.00;阴性预测值范围为0.69至0.90。对于安装在不同地点的软件包,观察到了安装之间的差异。

结论

本研究中测试的大多数DDI检测软件程序的性能欠佳。需要改进以提高它们对DDI检测的贡献。

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