亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A mobile device application to reduce medication errors and time to drug delivery during simulated paediatric cardiopulmonary resuscitation: a multicentre, randomised, controlled, crossover trial

医学 交叉研究 心肺复苏术 人口 急诊医学 临床终点 输液泵 随机对照试验 复苏 麻醉 外科 安慰剂 替代医学 环境卫生 病理
作者
Johan N Siebert,Frédéric Ehrler,Christophe Combescure,Christian Lovis,Kevin Haddad,Florence Hugon,Fanny Luterbacher,Laurence Lacroix,Alain Gervaix,Sergio Manzano,Mario Gehri,Corinne Yersin,Daniel de la Iglesia,Franziska Hermann Marina,Cosette Pharisa,Monika Spannaus,Laurence Racine,Bernard Laubscher,Carole Vah,Juan Llor
出处
期刊:The Lancet Child & Adolescent Health [Elsevier]
卷期号:3 (5): 303-311 被引量:50
标识
DOI:10.1016/s2352-4642(19)30003-3
摘要

Background Vasoactive drug preparation for continuous infusion in children is both complex and time consuming and places the paediatric population at higher risk than adults for medication errors. We developed a mobile device application (app) as a step-by-step guide for the preparation to delivery of drugs requiring continuous infusion. The app has been previously tested during simulation-based resuscitations in a previous single-centre trial. In this trial, our aim was to assess this app in various hospital settings. Methods We did a prospective, multicentre, randomised, controlled, crossover trial to compare this app with an internationally used drug-infusion-rates table for the preparation of continuous drug infusion during standardised, simulation-based, paediatric post-cardiac arrest scenarios using a high-fidelity manikin. The scenarios were split into two study periods to assess the two preparation methods consecutively, separated by a washout distraction manoeuvre. Nurses in six paediatric emergency centres in Switzerland were randomly assigned (1:1) to start the scenario with either the app or the infusion-rates table and then complete the scenario using the other preparation method. The primary endpoint was the proportion of participants committing a medication error, which was defined as a deviation from the correct weight dose of more than 10%, miscalculation of the infusion rate, misprogramming of the infusion pump, or the inability to calculate drug dosage without calculation and guidance help from the study team. The medication error proportions observed with both preparation methods were compared by pooling both study periods, with paired data analysed using the unconditional exact McNemar test for dependent groups with a two-sided α level of 0·05. We did sensitivity analyses to investigate the carryover effect. This trial is registered with ClinicalTrials.gov, number NCT03021122. Findings From March 1 to Dec 31, 2017, we randomly assigned 128 nurses to start the scenario using the app (n=64) or the infusion-rates table (n=64). Among the 128 drug preparations associated with each of the two methods, 96 (75%, 95% CI 67–82) delivered using the infusion-rates table were associated with medication errors compared with nine (7%, 3–13) delivered using the mobile app. Medication errors were reduced by 68% (95% CI 59–76%; p<0·0001) with the app compared with the table, as was the mean time to drug preparation (difference 148·2 s [95% CI 124·2–172·1], a 45% reduction; p<0·0001) and mean time to drug delivery (168·5 s [146·1–190·8], a 40% reduction; p<0·0001). Hospital size and nurses' experience did not modify the intervention effect. We detected no carryover effect. Interpretation Critically ill children are particularly vulnerable to medication errors. A mobile app designed to help paediatric drug preparation during resuscitation with the aim to significantly reduce the occurrence of medication errors, drug preparation time, and delivery time could have the potential to change paediatric clinical practice in the area of emergency medicine. Funding Swiss National Science Foundation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
木有完成签到 ,获得积分10
2秒前
Bin_Liu完成签到,获得积分20
2秒前
2秒前
4秒前
画星星发布了新的文献求助10
4秒前
amengptsd完成签到,获得积分10
4秒前
crx发布了新的文献求助10
7秒前
10秒前
大模型应助crx采纳,获得10
11秒前
14秒前
21秒前
echo发布了新的文献求助10
21秒前
22秒前
123完成签到,获得积分10
25秒前
26秒前
小昭发布了新的文献求助10
27秒前
30秒前
打工人发布了新的文献求助10
32秒前
顺利的边牧完成签到 ,获得积分10
34秒前
科研通AI6应助科研通管家采纳,获得10
36秒前
科研通AI6应助科研通管家采纳,获得10
36秒前
科研小白发布了新的文献求助10
36秒前
36秒前
abc应助科研通管家采纳,获得10
36秒前
科研通AI6应助科研通管家采纳,获得10
36秒前
科研通AI2S应助科研通管家采纳,获得10
36秒前
科研通AI2S应助科研通管家采纳,获得10
36秒前
37秒前
44秒前
某某完成签到 ,获得积分10
45秒前
慕青应助yue采纳,获得10
46秒前
49秒前
李健应助TRISTE采纳,获得10
52秒前
段皖顺完成签到 ,获得积分10
59秒前
yue给yue的求助进行了留言
1分钟前
冷静的振家完成签到,获得积分10
1分钟前
听海与你完成签到 ,获得积分10
1分钟前
小猪完成签到,获得积分10
1分钟前
在水一方应助默默采纳,获得10
1分钟前
Dai完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
Cummings Otolaryngology Head and Neck Surgery 8th Edition 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5754731
求助须知:如何正确求助?哪些是违规求助? 5489024
关于积分的说明 15380533
捐赠科研通 4893223
什么是DOI,文献DOI怎么找? 2631816
邀请新用户注册赠送积分活动 1579732
关于科研通互助平台的介绍 1535521