Effect of pain control algorithm on pain intensity and duration of patients' connection to the ventilator

Z. Karimi, Shahram Molavynejad, Simin Jahani, M. Rashidi, A. Saki Malehi
{"title":"Effect of pain control algorithm on pain intensity and duration of patients' connection to the ventilator","authors":"Z. Karimi, Shahram Molavynejad, Simin Jahani, M. Rashidi, A. Saki Malehi","doi":"10.52547/koomesh.23.5.574","DOIUrl":null,"url":null,"abstract":"levels of high of the duration of connection to the ventilator. study to evaluate the effect of on and duration of to Materials and Methods : This clinical trial was conducted on 396 patients undergoing mechanical ventilation conveniently recruited from intensive care units of teaching hospitals affiliated to Ahvaz Jundishapur University of Medical Sciences (Ahvaz, Iran) from August 2017 to June 2016. Participants were allocated to the intervention (n=198) and control (n=198) groups through permuted block randomization. Block size was four. In the experimental group, pain intensity was measured daily for 10 days using pain behavioral instrument and pain relief was performed based on pain control algorithm. In addition, the two groups were examined daily by a researcher-made checklist for weaning criteria from the ventilator for 10 days. Results: In the experimental group, pain intensity started to decrease from the first day of intervention ( P <0.0001). The connection time to the ventilator was also reduced and this difference was statistically significant compared to the control group ( P <0.0001). this study showed that the use of pain control algorithm could lead to better pain management and reduce the duration of ventilator connection in patients admitted to intensive care units. However, to increase clinical utility and to achieve more targeted pain treatment, more focus on implement an algorithm and reassessment of patients’ pain is needed.","PeriodicalId":291099,"journal":{"name":"Koomesh journal","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Koomesh journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52547/koomesh.23.5.574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

levels of high of the duration of connection to the ventilator. study to evaluate the effect of on and duration of to Materials and Methods : This clinical trial was conducted on 396 patients undergoing mechanical ventilation conveniently recruited from intensive care units of teaching hospitals affiliated to Ahvaz Jundishapur University of Medical Sciences (Ahvaz, Iran) from August 2017 to June 2016. Participants were allocated to the intervention (n=198) and control (n=198) groups through permuted block randomization. Block size was four. In the experimental group, pain intensity was measured daily for 10 days using pain behavioral instrument and pain relief was performed based on pain control algorithm. In addition, the two groups were examined daily by a researcher-made checklist for weaning criteria from the ventilator for 10 days. Results: In the experimental group, pain intensity started to decrease from the first day of intervention ( P <0.0001). The connection time to the ventilator was also reduced and this difference was statistically significant compared to the control group ( P <0.0001). this study showed that the use of pain control algorithm could lead to better pain management and reduce the duration of ventilator connection in patients admitted to intensive care units. However, to increase clinical utility and to achieve more targeted pain treatment, more focus on implement an algorithm and reassessment of patients’ pain is needed.
疼痛控制算法对患者连接呼吸机疼痛强度和持续时间的影响
连接到呼吸机的持续时间的高电平。材料和方法:本临床试验于2017年8月至2016年6月在伊朗阿瓦士Jundishapur医科大学附属教学医院重症监护病房方便招募的396例机械通气患者进行。通过排列块随机化将参与者分配到干预组(n=198)和对照组(n=198)。块大小为4。实验组采用疼痛行为仪每日测量疼痛强度,连续10天,并根据疼痛控制算法进行疼痛缓解。此外,两组患者在10天内每天接受研究人员编制的检查表的检查,以确定其脱离呼吸机的标准。结果:实验组患者疼痛强度自干预第1天起开始降低(P <0.0001)。与对照组相比,呼吸机连接时间也减少,差异有统计学意义(P <0.0001)。本研究表明,使用疼痛控制算法可以改善重症监护病房患者的疼痛管理,并缩短呼吸机连接时间。然而,为了提高临床疗效和实现更有针对性的疼痛治疗,需要更多地关注算法的实施和对患者疼痛的重新评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信