Division of Emergency Medicine, Washington University Institute for Public Health, St. Louis, Missouri, USA.
J Am Med Inform Assoc. 2012 Jan-Feb;19(1):86-93. doi: 10.1136/amiajnl-2011-000124. Epub 2011 Nov 3.
To evaluate the impact of a real-time computerized decision support tool in the emergency department that guides medication dosing for the elderly on physician ordering behavior and on adverse drug events (ADEs).
A prospective controlled trial was conducted over 26 weeks. The status of the decision support tool alternated OFF (7/17/06-8/29/06), ON (8/29/06-10/10/06), OFF (10/10/06-11/28/06), and ON (11/28/06-1/16/07) in consecutive blocks during the study period. In patients ≥65 who were ordered certain benzodiazepines, opiates, non-steroidals, or sedative-hypnotics, the computer application either adjusted the dosing or suggested a different medication. Physicians could accept or reject recommendations.
The primary outcome compared medication ordering consistent with recommendations during ON versus OFF periods. Secondary outcomes included the admission rate, emergency department length of stay for discharged patients, 10-fold dosing orders, use of a second drug to reverse the original medication, and rate of ADEs using previously validated explicit chart review.
2398 orders were placed for 1407 patients over 1548 visits. The majority (49/53; 92.5%) of recommendations for alternate medications were declined. More orders were consistent with dosing recommendations during ON (403/1283; 31.4%) than OFF (256/1115; 23%) periods (p≤0.0001). 673 (43%) visits were reviewed for ADEs. The rate of ADEs was lower during ON (8/237; 3.4%) compared with OFF (31/436; 7.1%) periods (p=0.02). The remaining secondary outcomes showed no difference.
Single institution study, retrospective chart review for ADEs.
Though overall agreement with recommendations was low, real-time computerized decision support resulted in greater acceptance of medication recommendations. Fewer ADEs were observed when computerized decision support was active.
评估一种实时计算机决策支持工具在急诊科对老年患者用药剂量的指导作用,研究其对医生用药医嘱行为和药物不良事件(ADE)的影响。
前瞻性对照试验,共 26 周。决策支持工具的状态在研究期间以连续块的形式交替关闭(2006 年 7 月 17 日-8 月 29 日)、开启(2006 年 8 月 29 日-10 月 10 日)、关闭(2006 年 10 月 10 日-11 月 28 日)和开启(2006 年 11 月 28 日-1 月 16 日)。在接受某些苯二氮䓬类、阿片类、非甾体类或镇静催眠药的≥65 岁患者中,计算机应用程序调整剂量或建议使用其他药物。医生可以接受或拒绝建议。
主要结果比较开启和关闭期间与建议一致的用药医嘱。次要结果包括入院率、出院患者急诊留观时间、10 倍剂量医嘱、使用第二种药物逆转原始药物,以及使用先前验证的明确图表审查的 ADE 发生率。
在 1548 次就诊中,共为 1407 名患者开出了 2398 张医嘱。大多数(49/53;92.5%)替代药物的建议被拒绝。与关闭期(256/1115;23%)相比,开启期(403/1283;31.4%)更符合剂量建议(p≤0.0001)。对 673(43%)次就诊进行了 ADE 审查。与关闭期(31/436;7.1%)相比,开启期(8/237;3.4%)的 ADE 发生率较低(p=0.02)。其余次要结果无差异。
单机构研究,ADE 回顾性图表审查。
尽管总体上与建议的一致性较低,但实时计算机化决策支持导致了更多的药物建议被接受。当计算机化决策支持处于活动状态时,观察到的 ADE 较少。