UMIT-University for Health Sciences, Medical Informatics and Technology Tyrol, Institute for Health Information Systems, Tyrol, Austria.
J Am Med Inform Assoc. 2008 Sep-Oct;15(5):585-600. doi: 10.1197/jamia.M2667. Epub 2008 Jun 25.
The objective of this systematic review is to analyse the relative risk reduction on medication error and adverse drug events (ADE) by computerized physician order entry systems (CPOE). We included controlled field studies and pretest-posttest studies, evaluating all types of CPOE systems, drugs and clinical settings. We present the results in evidence tables, calculate the risk ratio with 95% confidence interval and perform subgroup analyses for categorical factors, such as the level of care, patient group, type of drug, type of system, functionality of the system, comparison group type, study design, and the method for detecting errors. Of the 25 studies that analysed the effects on the medication error rate, 23 showed a significant relative risk reduction of 13% to 99%. Six of the nine studies that analysed the effects on potential ADEs showed a significant relative risk reduction of 35% to 98%. Four of the seven studies that analysed the effect on ADEs showed a significant relative risk reduction of 30% to 84%. Reporting quality and study quality was often insufficient to exclude major sources of bias. Studies on home-grown systems, studies comparing electronic prescribing to handwriting prescribing, and studies using manual chart review to detect errors seem to show a higher relative risk reduction than other studies. Concluding, it seems that electronic prescribing can reduce the risk for medication errors and ADE. However, studies differ substantially in their setting, design, quality, and results. To further improve the evidence-base of health informatics, more randomized controlled trials (RCTs) are needed, especially to cover a wider range of clinical and geographic settings. In addition, reporting quality of health informatics evaluation studies has to be substantially improved.
本系统评价的目的是分析计算机化医嘱录入系统(CPOE)降低药物错误和药物不良事件(ADE)的相对风险。我们纳入了对照现场研究和前后测试研究,评估了所有类型的 CPOE 系统、药物和临床环境。我们将结果呈现在证据表中,计算了风险比(RR)及其 95%置信区间(CI),并针对分类因素(如护理水平、患者群体、药物类型、系统类型、系统功能、对照组类型、研究设计以及错误检测方法)进行了亚组分析。在分析药物错误率影响的 25 项研究中,有 23 项研究显示相对风险降低了 13%至 99%。在分析潜在 ADE 影响的 9 项研究中,有 6 项研究显示相对风险降低了 35%至 98%。在分析 ADE 影响的 7 项研究中,有 4 项研究显示相对风险降低了 30%至 84%。报告质量和研究质量往往不足以排除主要的偏倚来源。针对内部开发系统的研究、将电子处方与手写处方进行比较的研究以及使用手动图表审查来检测错误的研究似乎比其他研究显示出更高的相对风险降低。结论是,电子处方可以降低药物错误和 ADE 的风险。然而,这些研究在设置、设计、质量和结果方面存在很大差异。为了进一步提高健康信息学的证据基础,需要更多的随机对照试验(RCT),特别是要涵盖更广泛的临床和地理环境。此外,还需要大幅提高健康信息学评估研究的报告质量。