|
|
Application effect of optimizing the pre-hospital transport mode of critically ill newborns based on the information sharing system |
JIAO Jiancheng SUN Min FANG Junchen MENG Lingzhi ZHANG Yudong MA Li |
Department of Neonatology, Hebei Children’s Hospital, Hebei Province, Shijiazhuang 050031, China |
|
|
Abstract Objective To explore the application effect of the pre-hospital transport model based on the optimization of the information sharing system in critically ill newborns. Methods The data of 94 critically ill newborns admitted to Hebei Children’s Hospital from February 2019 to February 2020 who implemented prehospital transfer based on the optimization of the information sharing system were retrospectively analyzed and recorded as group A, the data of 88 critically ill newborns undergoing routine transportation were retrospectively analyzed and recorded as group B. The time spent in the transfer process and the hospital stay after transfer, the severity of disease scores before transfer, during transfer and after transfer, the outcome and the occurrence of adverse events of newborns of the two groups were compared. Results The time spent in the transfer process and hospital stay after transfer in group A were shorter than those in group B (all P < 0.05). There were statistically significant differences in the severity of neonatal disease between the two groups, time and interaction (all P < 0.05). There was no significant difference in disease severity scores before, during and after transport in group A (P > 0.05). The disease severity score of group B in transport was lower than that before transport (P < 0.05), and that after transport was lower than that in transport, before transport (P < 0.05). The disease severity score of group A during and after transport was higher than that in group B (P < 0.05). The outcome of group A was better than that of group B (P < 0.05). The incidence of adverse events in group A was lower than that in group B (P < 0.05). Conclusion Optimizing the pre-hospital transport mode of critically ill newborns based on the information sharing system can shorten the time spent in the transport process and hospital stay after transfer, reduce the severity of neonatal disease, help the outcome of the disease and reduce the incidence of adverse events.
|
|
|
|
|
[1] 吴洁,韩亚梅,张娟丽,等.新生儿危重评分对出生第1天近足月及足月新生儿呼吸疾病的预测价值[J].临床儿科杂志,2019,37(5):345-350.
[2] Schiller RM,Madderom MJ,van Rosmalen J,et al. Working memory training following neonatal critical illness:a randomized controlled trial [J]. Crit Care Med,2018,46(7):1158-1166.
[3] Schiller R,IJsselstijn H,Hoskote A,et al. Memory deficits following neonatal critical illness:a common neurodevelopmental pathway [J]. Lancet Child Adolesc Health,2018, 2(4):281-289.
[4] 赵秋玲,尚煜,赵月,等.区域内危重新生儿转运现状分析及问题对策[J].中国妇幼保健,2019,34(12):2671-2673.
[5] Nwanna-Nzewunwa OC,Kouo Ngamby M,Shetter E,et al. Informing prehospital care planning using pilot trauma registry data in Yaoundé,Cameroon [J]. Eur J Trauma Emerg Surg,2019,45(5):877-884.
[6] Xu XJ,Li LN,Wu WY. Importance of stabilization of the neonatal transport network in critically ill neonates [J]. J Int Med Res,2019,47(8):3737-3744.
[7] 陈杰,魏强,殷伟东,等.区域院前院内急救信息一体化共享平台的建设与应用[J].医疗卫生装备,2020,41(7):26-29.
[8] 解红文,金云,孙娟,等.基于物联网的危重新生儿区域协同救治模式的实践[J].护理学杂志,2020,35(10):21-24.
[9] 强光峰,赵静,孟兰兰,等.肺部超声评分与新生儿危重病例评分的相关性及其临床预测价值[J].中华超声影像学杂志,2019,28(9):748-752.
[10] 赵春,孙正芸.临床儿科重症疾病诊断与治疗[M].北京市:北京大学医学出版社,2015:104-107.
[11] Leeuwen L,Schiller RM,Rietman AB,et al. Risk factors of impaired neuropsychologic outcome in school-aged survivors of neonatal critical illness [J]. Crit Care Med,2018,46(3):401-410.
[12] 王红利,李黎明,高峰.危重早产儿的转运护理与结局探讨[J].护士进修杂志,2018,33(9):825-827.
[13] Lerner EB,Studnek JR,Fumo N,et al. Multicenter Analysis of Transport Destinations for Pediatric Prehospital Patients [J]. Acad Emerg Med,2019,26(5):510-516.
[14] Frid I,Agren J,Kjellberg M,et al. Critically ill neonates displayed stable vital parameters and reduced metabolic acidosis during neonatal emergency airborne transport in Sweden [J]. Acta Paediatr,2018,107(8):1357-1361.
[15] 李清华,段颖杰,刘文,等.儿科急诊抢救室患儿无缝对接转运安全管理[J].北京医学,2018,40(7):704-706.
[16] Di Nardo M,Lonero M,Pasotti E,et al. The first five years of neonatal and pediatric transports on extracorporeal membrane oxygenation in the center and south of Italy:The pediatric branch of the Italian“Rete Respira”network [J]. Perfusion,2018,33(1):24-30.
[17] 刘效勤,李明蕊,崔玲,等.微急救平台在院外急救中作用的探讨[J].中国急救复苏与灾害医学杂志,2018,13(2):178-179.
[18] Nakada TA,Masunaga N,Nakao S,et al. Development of a prehospital vital signs chart sharing system [J]. Am J Emerg Med,2016,34(1):88-92.
[19] Dayal P,Horeczko T,Wraa C,et al. Emergency Medical Services Utilization by Children [J]. Pediatr Emerg Care,2019,35(12):846-851.
[20] 吴家兴,刘玉梅,孙云霞,等.急危重先天性心脏病新生儿237例院际转运的临床研究[J].中华实用儿科临床杂志,2020,35(18):1384-1387.
[21] Whitehead J,Roskruge M,Tan C,et al. Monitoring pre-hospital transport of severely injured patients in the Midland Region of New Zealand [J]. N Z Med J,2018, 131(14):71-78.
[22] 郭妍.推进互联网医院建设助力全民健康[J].中华危重病急救医学,2020,32(7):771-773.
[23] 葛芳民,李强,林高兴,等.基于5G技术院前-院内急诊医疗服务平台建设的研究[J].中华急诊医学杂志,2019, 28(10):1223-1227.
[24] 阮小贞,董静,黄华杰,等.基于几种不同类型医联体模式的SWOT研究[J].中国医药科学,2020,10(14):239-242.
[25] Troyer L,Brady W. Barriers to effective EMS to emergency department information transfer at patient handover:A systematic review [J]. Am J Emerg Med,2020, 38(7):1494-1503.
[26] 周英,何萍,张曼.基于互联网的医疗全流程便民服务体系实践与成效[J].中国卫生信息管理杂志,2018,15(3):313-316.
[27] 蒋未娜,邱智渊,王佳飞,等.医院“互联网+医疗”服务现状及5G时代医院信息化发展战略研究[J].中国医药导报,2020,17(10):169-172,176.
[28] 沈伟晔,曾明,张文香.医疗失效模式与效应分析模式在优化骨科成批伤急诊急救流程中的应用效果观察[J].临床和实验医学杂志,2020,19(4):412-414. |
|
|
|