Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.
J Am Med Inform Assoc. 2011 Nov-Dec;18(6):767-73. doi: 10.1136/amiajnl-2011-000205. Epub 2011 Jun 29.
To report the frequency, types, and causes of errors associated with outpatient computer-generated prescriptions, and to develop a framework to classify these errors to determine which strategies have greatest potential for preventing them.
This is a retrospective cohort study of 3850 computer-generated prescriptions received by a commercial outpatient pharmacy chain across three states over 4 weeks in 2008. A clinician panel reviewed the prescriptions using a previously described method to identify and classify medication errors. Primary outcomes were the incidence of medication errors; potential adverse drug events, defined as errors with potential for harm; and rate of prescribing errors by error type and by prescribing system.
Of 3850 prescriptions, 452 (11.7%) contained 466 total errors, of which 163 (35.0%) were considered potential adverse drug events. Error rates varied by computerized prescribing system, from 5.1% to 37.5%. The most common error was omitted information (60.7% of all errors).
About one in 10 computer-generated prescriptions included at least one error, of which a third had potential for harm. This is consistent with the literature on manual handwritten prescription error rates. The number, type, and severity of errors varied by computerized prescribing system, suggesting that some systems may be better at preventing errors than others.
Implementing a computerized prescribing system without comprehensive functionality and processes in place to ensure meaningful system use does not decrease medication errors. The authors offer targeted recommendations on improving computerized prescribing systems to prevent errors.
报告与门诊计算机生成处方相关的错误频率、类型和原因,并制定一个框架对这些错误进行分类,以确定哪些策略最有潜力预防这些错误。
这是一项回顾性队列研究,共纳入 2008 年 4 周内来自三个州的一家商业门诊药房连锁机构的 3850 张计算机生成处方。一个临床医生小组使用先前描述的方法审查处方,以识别和分类药物错误。主要结局指标是药物错误的发生率;潜在的药物不良事件,定义为有潜在危害的错误;以及按错误类型和处方系统分类的处方错误率。
在 3850 张处方中,有 452 张(11.7%)包含 466 个总错误,其中 163 个(35.0%)被认为是潜在的药物不良事件。错误率因计算机化处方系统而异,从 5.1%到 37.5%。最常见的错误是遗漏信息(所有错误的 60.7%)。
大约每 10 张计算机生成的处方中就有至少一张处方存在至少一个错误,其中三分之一存在潜在的危害。这与关于手动手写处方错误率的文献一致。错误的数量、类型和严重程度因计算机化处方系统而异,这表明某些系统可能比其他系统更能预防错误。
在没有全面的功能和流程来确保系统的有效使用的情况下实施计算机化处方系统并不能减少药物错误。作者就改进计算机化处方系统以预防错误提出了有针对性的建议。