已入深夜,您辛苦了!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!祝你早点完成任务,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 环境卫生 病理 替代医学
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 BV]
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
1秒前
科研通AI6.2应助tt采纳,获得30
1秒前
科研通AI6.1应助tt采纳,获得10
2秒前
粉色棉毛裤完成签到,获得积分10
2秒前
妖九笙完成签到 ,获得积分10
2秒前
耍酷乘云发布了新的文献求助10
2秒前
3秒前
4秒前
滴滴答答发布了新的文献求助10
4秒前
方法完成签到,获得积分10
7秒前
7秒前
korchid发布了新的文献求助20
9秒前
科研通AI6.1应助耍酷乘云采纳,获得10
11秒前
kk_1315完成签到,获得积分0
18秒前
19秒前
21秒前
dasd完成签到,获得积分10
22秒前
完美世界应助123采纳,获得10
23秒前
yeahyeahhh发布了新的文献求助10
24秒前
星辰大海应助顺利毕业采纳,获得10
25秒前
陈洋完成签到 ,获得积分10
27秒前
yangshiyu发布了新的文献求助10
27秒前
30秒前
31秒前
哎小伙子完成签到,获得积分10
33秒前
张帅奔完成签到,获得积分10
34秒前
36秒前
Walalilongla发布了新的文献求助10
36秒前
Eason_C完成签到 ,获得积分10
38秒前
39秒前
yangshiyu完成签到 ,获得积分20
40秒前
binwu完成签到,获得积分10
40秒前
鸟窝发布了新的文献求助10
41秒前
iligll完成签到,获得积分10
42秒前
庾磬发布了新的文献求助10
43秒前
44秒前
lhy12345完成签到 ,获得积分10
46秒前
酷波er应助JUSTDOIT采纳,获得10
46秒前
尊敬怀柔完成签到 ,获得积分10
48秒前
笑笑完成签到 ,获得积分10
48秒前
高分求助中
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Optical Coating Design with the Essential Macleod 400
A revision of Limenitis helmanni and its related species (Nymphalidae) from Central and South China 400
Moore's Clinically Oriented Anatomy 10th Edition 400
Direct and Iterative Linear System Solvers 400
Cardiopulmonary Bypass and Mechanical Support: Principles and Practice, Fifth Edition 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6775987
求助须知:如何正确求助?哪些是违规求助? 8499685
关于积分的说明 18108878
捐赠科研通 6073038
什么是DOI,文献DOI怎么找? 3016391
邀请新用户注册赠送积分活动 1993408
关于科研通互助平台的介绍 1974591