Siegel Benjamin I, Johnson Meredith, Dawson Thomas E, Kurzen Emily, Holt Philip J, Wolf David S, Orenstein Evan W
Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia.
Children's Healthcare of Atlanta, Atlanta, Georgia.
Pediatr Neurol. 2021 Feb;115:42-47. doi: 10.1016/j.pediatrneurol.2020.11.009. Epub 2020 Nov 22.
Children on the ketogenic diet must limit carbohydrate intake to maintain ketosis and reduce seizure burden. Patients on ketogenic diet are vulnerable to harm in the hospital setting where carbohydrate-containing medications are commonly prescribed. We developed clinical decision support to reduce inappropriate prescription of carbohydrate-containing medications in hospitalized children on ketogenic diet.
A clinical decision support alert was developed through formative and summative usability testing. The alert warned prescribers when they entered an order for a carbohydrate-containing medication in patients on ketogenic diet. The alert was implemented using a quasi-experimental design with sequential crossover from control to intervention at two tertiary care pediatric hospitals within a single health system. The primary outcome was carbohydrate-containing medication orders per patient-day.
During the study period, there were 280 ketogenic diet patient admissions totaling 1219 patient-days. The carbohydrate-containing medication order rate declined from 0.69 to 0.35 orders per patient-day (absolute rate reduction 0.34, 95% confidence interval 0.25-0.43), corresponding to 256 inappropriate orders prevented. The alert fired 398 times and was accepted (i.e., the order was removed) 227 times for an overall acceptance rate of 57%.
Implementation of a clinical decision support alert at order-entry resulted in a sustained reduction in carbohydrate-containing medication orders for hospitalized patients on ketogenic diet without an increase in alert burden. Clinical decision support developed with user-centered design principles can improve patient safety for children on ketogenic diet by influencing prescriber behavior.
采用生酮饮食的儿童必须限制碳水化合物摄入以维持酮症并减轻癫痫发作负担。在通常会开具含碳水化合物药物的医院环境中,采用生酮饮食的患者容易受到伤害。我们开发了临床决策支持系统,以减少住院的采用生酮饮食儿童中含碳水化合物药物的不适当处方。
通过形成性和总结性可用性测试开发了一种临床决策支持警报。当开处方者为采用生酮饮食的患者输入含碳水化合物药物的医嘱时,该警报会发出警告。该警报采用准实验设计实施,在单一医疗系统内的两家三级护理儿童医院从对照阶段依次交叉至干预阶段。主要结局是每位患者每天的含碳水化合物药物医嘱数量。
在研究期间,共有280例采用生酮饮食的患者入院,总计1219个患者日。含碳水化合物药物的医嘱率从每位患者每天0.69次降至0.35次(绝对降低率0.34,95%置信区间0.25 - 0.43),相当于避免了256次不适当医嘱。警报触发398次,其中227次被接受(即医嘱被撤销),总体接受率为57%。
在医嘱录入时实施临床决策支持警报可使住院的采用生酮饮食患者的含碳水化合物药物医嘱持续减少,且不会增加警报负担。以用户为中心的设计原则开发的临床决策支持系统可通过影响开处方者行为来提高采用生酮饮食儿童的患者安全性。