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
云岫完成签到 ,获得积分10
1秒前
1秒前
领扣子完成签到 ,获得积分10
2秒前
dabai完成签到 ,获得积分10
3秒前
ZYBKYT发布了新的文献求助10
3秒前
3秒前
bbb完成签到,获得积分10
5秒前
7秒前
bbb发布了新的文献求助10
8秒前
9秒前
ZANXI发布了新的文献求助10
10秒前
领扣子关注了科研通微信公众号
10秒前
Yiy完成签到 ,获得积分0
10秒前
12秒前
13秒前
郭润之完成签到,获得积分10
14秒前
14秒前
小娅娅发布了新的文献求助10
14秒前
16秒前
英俊的铭应助Nemo采纳,获得10
17秒前
17秒前
lm1221发布了新的文献求助10
19秒前
等一只ya发布了新的文献求助10
20秒前
24秒前
汉堡包应助落寞绮南采纳,获得10
25秒前
所所应助涵涵采纳,获得30
25秒前
酒尚温发布了新的文献求助30
28秒前
小娅娅完成签到,获得积分20
30秒前
领导范儿应助英勇羿采纳,获得10
31秒前
32秒前
nu完成签到 ,获得积分10
32秒前
星辰大海应助小马过河bjfu采纳,获得10
33秒前
今后应助非酋本酋采纳,获得10
35秒前
小蘑菇应助涵涵采纳,获得30
36秒前
lan__发布了新的文献求助20
37秒前
何晶晶发布了新的文献求助30
37秒前
Pebble1完成签到,获得积分10
38秒前
CipherSage应助Silhouettes采纳,获得20
40秒前
41秒前
俞若枫完成签到,获得积分0
42秒前
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
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
Rocket Propulsion Elements, 10th Edition 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7439193
求助须知:如何正确求助?哪些是违规求助? 9040326
关于积分的说明 19266866
捐赠科研通 7064845
什么是DOI,文献DOI怎么找? 3238003
关于科研通互助平台的介绍 2401399
邀请新用户注册赠送积分活动 2221822