• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

引入用于紧急医疗服务系统的智能手机应用程序后医院患者接受度的改善:日本大阪市一项基于人群的前后观察性研究。

Improvements in Patient Acceptance by Hospitals Following the Introduction of a Smartphone App for the Emergency Medical Service System: A Population-Based Before-and-After Observational Study in Osaka City, Japan.

作者信息

Katayama Yusuke, Kitamura Tetsuhisa, Kiyohara Kosuke, Iwami Taku, Kawamura Takashi, Izawa Junichi, Gibo Koichiro, Komukai Sho, Hayashida Sumito, Kiguchi Takeyuki, Ohnishi Mitsuo, Ogura Hiroshi, Shimazu Takeshi

机构信息

Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.

Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Suita, Japan.

出版信息

JMIR Mhealth Uhealth. 2017 Sep 11;5(9):e134. doi: 10.2196/mhealth.8296.

DOI:10.2196/mhealth.8296
PMID:28893725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5616023/
Abstract

BACKGROUND

Recently, the number of ambulance dispatches has been increasing in Japan, and it is therefore difficult for hospitals to accept emergency patients smoothly and appropriately because of the limited hospital capacity. To facilitate the process of requesting patient transport and hospital acceptance, an emergency information system using information technology (IT) has been built and introduced in various communities. However, its effectiveness has not been thoroughly revealed. We introduced a smartphone app system in 2013 that enables emergency medical service (EMS) personnel to share information among themselves regarding on-scene ambulances and the hospital situation.

OBJECTIVE

The aim of this study was to assess the effects of introducing this smartphone app on the EMS system in Osaka City, Japan.

METHODS

This retrospective study analyzed the population-based ambulance records of Osaka Municipal Fire Department. The study period was 6 years, from January 1, 2010 to December 31, 2015. We enrolled emergency patients for whom on-scene EMS personnel conducted hospital selection. The main endpoint was the difficulty experienced in gaining hospital acceptance at the scene. The definition of difficulty was making ≥5 phone calls by EMS personnel at the scene to hospitals until a decision to transport was determined. The smartphone app was introduced in January 2013, and we compared the patients treated from 2010 to 2012 (control group) with those treated from 2013 to 2015 (smartphone app group) using an interrupted time-series analysis to assess the effects of introducing this smartphone app.

RESULTS

A total of 600,526 emergency patients for whom EMS personnel selected hospitals were eligible for our analysis. There were 300,131 emergency patients in the control group (50.00%, 300,313/600,526) from 2010 to 2012 and 300,395 emergency patients in the smartphone app group (50.00%, 300,395/600,526) from 2013 to 2015. The rate of difficulty in hospital acceptance was 14.19% (42,585/300,131) in the control group and 10.93% (32,819/300,395) in the smartphone app group. No change over time in the number of difficulties in hospital acceptance was found before the introduction of the smartphone app (regression coefficient: -2.43, 95% CI -5.49 to 0.64), but after its introduction, the number of difficulties in hospital acceptance gradually decreased by month (regression coefficient: -11.61, 95% CI -14.57 to -8.65).

CONCLUSIONS

Sharing information between an ambulance and a hospital by using the smartphone app at the scene was associated with decreased difficulty in obtaining hospital acceptance. Our app and findings may be worth considering in other areas of the world where emergency medical information systems with IT are needed.

摘要

背景

近年来,日本的救护车派遣数量不断增加,由于医院接纳能力有限,医院很难顺利且恰当地接收急诊患者。为了便于患者转运请求和医院接收流程的开展,各地社区已建立并引入了利用信息技术(IT)的紧急信息系统。然而,其效果尚未得到充分揭示。2013年,我们引入了一款智能手机应用系统,该系统能使紧急医疗服务(EMS)人员就现场救护车情况和医院状况在彼此之间共享信息。

目的

本研究旨在评估引入这款智能手机应用对日本大阪市EMS系统的影响。

方法

这项回顾性研究分析了大阪市消防局基于人群的救护车记录。研究时间段为6年,从2010年1月1日至2015年12月31日。我们纳入了现场EMS人员进行医院选择的急诊患者。主要终点是现场获得医院接收时遇到的困难。困难的定义是现场EMS人员给医院拨打≥5次电话,直到确定转运决定。智能手机应用于2013年1月引入,我们使用中断时间序列分析比较了2010年至2012年接受治疗的患者(对照组)和2013年至2015年接受治疗的患者(智能手机应用组),以评估引入这款智能手机应用的效果。

结果

共有600526例由EMS人员选择医院的急诊患者符合我们的分析条件。2010年至2012年对照组有300131例急诊患者(50.00%,300313/600526),2013年至2015年智能手机应用组有300395例急诊患者(50.00%,300395/600526)。对照组医院接收困难率为14.19%(42585/300131),智能手机应用组为10.93%(32819/300395)。在引入智能手机应用之前,医院接收困难数量随时间没有变化(回归系数:-2.43,95%CI -5.49至0.64),但引入后,医院接收困难数量逐月逐渐减少(回归系数:-11.61,95%CI -14.57至-8.65)。

结论

通过现场使用智能手机应用在救护车和医院之间共享信息与降低获得医院接收的难度相关。我们的应用和研究结果可能值得世界上其他需要IT紧急医疗信息系统的地区考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b5/5616023/8ae644bb81e0/mhealth_v5i9e134_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b5/5616023/b0f7f6bdc6b3/mhealth_v5i9e134_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b5/5616023/7a663e25230e/mhealth_v5i9e134_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b5/5616023/8ae644bb81e0/mhealth_v5i9e134_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b5/5616023/b0f7f6bdc6b3/mhealth_v5i9e134_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b5/5616023/7a663e25230e/mhealth_v5i9e134_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0b5/5616023/8ae644bb81e0/mhealth_v5i9e134_fig3.jpg

相似文献

1
Improvements in Patient Acceptance by Hospitals Following the Introduction of a Smartphone App for the Emergency Medical Service System: A Population-Based Before-and-After Observational Study in Osaka City, Japan.引入用于紧急医疗服务系统的智能手机应用程序后医院患者接受度的改善:日本大阪市一项基于人群的前后观察性研究。
JMIR Mhealth Uhealth. 2017 Sep 11;5(9):e134. doi: 10.2196/mhealth.8296.
2
Factors associated with the difficulty in hospital acceptance at the scene by emergency medical service personnel: a population-based study in Osaka City, Japan.与紧急医疗服务人员在现场难以将患者送入医院相关的因素:日本大阪市的一项基于人群的研究。
BMJ Open. 2016 Oct 26;6(10):e013849. doi: 10.1136/bmjopen-2016-013849.
3
Factors associated with the difficulty in hospital acceptance among elderly emergency patients: A population-based study in Osaka City, Japan.与老年急诊患者住院困难相关的因素:日本大阪市的一项基于人群的研究。
Geriatr Gerontol Int. 2017 Dec;17(12):2441-2448. doi: 10.1111/ggi.13098. Epub 2017 Jun 18.
4
Evaluation of factors associated with the difficulty in finding receiving hospitals for traffic accident patients at the scene treated by emergency medical services: a population-based study in Osaka City, Japan.评估与紧急医疗服务在现场救治的交通事故患者寻找接收医院困难相关的因素:日本大阪市的一项基于人群的研究。
Acute Med Surg. 2017 Jun 16;4(4):401-407. doi: 10.1002/ams2.291. eCollection 2017 Oct.
5
Profile of the ORION (Osaka emergency information Research Intelligent Operation Network system) between 2015 and 2016 in Osaka, Japan: a population-based registry of emergency patients with both ambulance and in-hospital records.2015年至2016年日本大阪市的ORION(大阪紧急信息研究智能运营网络系统)概况:一项基于人群的急诊患者登记研究,涵盖救护车和住院记录。
Acute Med Surg. 2018 Sep 25;6(1):12-24. doi: 10.1002/ams2.371. eCollection 2019 Jan.
6
Impact of increased reimbursement for ambulance transportation on hospital acceptance in Japan: a difference-in-difference study.提高救护车运输报销对日本医院收治的影响:一项差分研究。
BMJ Open. 2023 Jul 25;13(7):e071523. doi: 10.1136/bmjopen-2022-071523.
7
Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis.用于与急诊科高效实时共享院前患者信息的NSER移动应用程序的实验实施:中断时间序列分析
JMIR Form Res. 2022 Jul 6;6(7):e37301. doi: 10.2196/37301.
8
Factors related to prolonged on-scene time during ambulance transportation for critical emergency patients in a big city in Japan: a population-based observational study.日本某大城市危急重症患者救护车转运途中现场停留时间延长的相关因素:一项基于人群的观察性研究。
BMJ Open. 2016 Jan 4;6(1):e009599. doi: 10.1136/bmjopen-2015-009599.
9
Characteristics and outcomes of emergency patients with self-inflicted injuries: a report from ambulance records in Osaka City, Japan.日本大阪市救护车记录中自伤急诊患者的特征与结局报告
Scand J Trauma Resusc Emerg Med. 2016 May 11;24:68. doi: 10.1186/s13049-016-0261-0.
10
An effective support system of emergency medical services with tablet computers.配备平板电脑的高效急诊医疗服务支持系统。
JMIR Mhealth Uhealth. 2015 Feb 27;3(1):e23. doi: 10.2196/mhealth.3293.

引用本文的文献

1
Difficult-to-transport cases and neurological outcomes of out-of-hospital cardiac arrest: A population-based nationwide study in Japan.院外心脏骤停患者中难以转运的病例及神经学转归:一项基于日本全国人口的研究
Acute Med Surg. 2025 Mar 3;12(1):e70050. doi: 10.1002/ams2.70050. eCollection 2025 Jan-Dec.
2
A Novel Artificial Intelligence-Enhanced Digital Network for Prehospital Emergency Support: Community Intervention Study.一种新型人工智能增强的院前急救支持数字网络:社区干预研究。
J Med Internet Res. 2025 Jan 23;27:e58177. doi: 10.2196/58177.
3
Factors associated with difficulty in hospital acceptance during the COVID-19 pandemic period in Osaka Prefecture, Japan: a population-based study.

本文引用的文献

1
Ambulance calls and prehospital transportation time of emergency patients with cardiovascular events in Osaka City.大阪市心血管事件急诊患者的救护车呼叫及院前转运时间
Acute Med Surg. 2014 Mar 5;1(3):135-144. doi: 10.1002/ams2.25. eCollection 2014 Jul.
2
Evaluation of factors associated with the difficulty in finding receiving hospitals for traffic accident patients at the scene treated by emergency medical services: a population-based study in Osaka City, Japan.评估与紧急医疗服务在现场救治的交通事故患者寻找接收医院困难相关的因素:日本大阪市的一项基于人群的研究。
Acute Med Surg. 2017 Jun 16;4(4):401-407. doi: 10.1002/ams2.291. eCollection 2017 Oct.
3
与日本大阪府 COVID-19 大流行期间住院困难相关的因素:一项基于人群的研究。
Front Public Health. 2024 May 30;12:1391519. doi: 10.3389/fpubh.2024.1391519. eCollection 2024.
4
Outcome of emergency patients transported by ambulance during the COVID-19 pandemic in Osaka Prefecture, Japan: a population-based descriptive study.日本大阪府新冠疫情期间救护车转运急诊患者的结局:一项基于人群的描述性研究
Front Public Health. 2024 Jan 11;11:1322236. doi: 10.3389/fpubh.2023.1322236. eCollection 2023.
5
Factors associated with prolonged on-scene time in ambulance transportation among patients with minor diseases or injuries in Japan: a population-based observational study.与日本轻症疾病或损伤患者在救护车转运中现场停留时间延长相关的因素:一项基于人群的观察性研究。
BMC Emerg Med. 2024 Jan 7;24(1):10. doi: 10.1186/s12873-023-00927-2.
6
Incidence and outcome of patients with difficulty in hospital acceptance during COVID-19 pandemic in Osaka Prefecture, Japan: A population-based descriptive study.日本大阪府新冠疫情期间住院困难患者的发病率及转归:一项基于人群的描述性研究
Acute Med Surg. 2023 Aug 8;10(1):e880. doi: 10.1002/ams2.880. eCollection 2023 Jan-Dec.
7
Effect of the COVID-19 outbreak on emergency transport of children by an emergency medical service system: a population-based, ORION registry study.COVID-19 疫情对急救医疗服务系统儿童急救转运的影响:基于人群的 ORION 登记研究。
BMC Emerg Med. 2022 Dec 20;22(1):206. doi: 10.1186/s12873-022-00765-8.
8
The Characteristics and Outcomes of Patients Transported by Ambulance Due to Ambulatory Care Sensitive Condition: A Population-Based Descriptive Study in Osaka, Japan.因门诊护理敏感状况而由救护车转运的患者的特征与结局:日本大阪的一项基于人群的描述性研究。
Front Public Health. 2022 Jun 30;10:911675. doi: 10.3389/fpubh.2022.911675. eCollection 2022.
9
Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis.用于与急诊科高效实时共享院前患者信息的NSER移动应用程序的实验实施:中断时间序列分析
JMIR Form Res. 2022 Jul 6;6(7):e37301. doi: 10.2196/37301.
10
Factors associated with prolonged hospitalization among patients transported by emergency medical services: A population-based study in Osaka, Japan.与急救医疗服务转运患者住院时间延长相关的因素:日本大阪的一项基于人群的研究。
Medicine (Baltimore). 2021 Dec 3;100(48):e27862. doi: 10.1097/MD.0000000000027862.
Factors associated with the difficulty in hospital acceptance at the scene by emergency medical service personnel: a population-based study in Osaka City, Japan.
与紧急医疗服务人员在现场难以将患者送入医院相关的因素:日本大阪市的一项基于人群的研究。
BMJ Open. 2016 Oct 26;6(10):e013849. doi: 10.1136/bmjopen-2016-013849.
4
Interrupted time series regression for the evaluation of public health interventions: a tutorial.中断时间序列回归在公共卫生干预措施评价中的应用:教程。
Int J Epidemiol. 2017 Feb 1;46(1):348-355. doi: 10.1093/ije/dyw098.
5
Geographic information system data from ambulances applied in the emergency department: effects on patient reception.应用于急诊科的救护车地理信息系统数据:对患者接待的影响
Scand J Trauma Resusc Emerg Med. 2016 Mar 31;24:39. doi: 10.1186/s13049-016-0232-5.
6
Door-to-puncture: a practical metric for capturing and enhancing system processes associated with endovascular stroke care, preliminary results from the rapid reperfusion registry.门到穿刺时间:一种用于捕捉和优化与血管内卒中治疗相关系统流程的实用指标,快速再灌注登记研究的初步结果
J Am Heart Assoc. 2014;3(2):e000859. doi: 10.1161/jaha.114.000859.
7
An association between systolic blood pressure and stroke among patients with impaired consciousness in out-of-hospital emergency settings.在院外急救环境中,意识障碍患者的收缩压与卒中之间存在关联。
BMC Emerg Med. 2013 Dec 17;13:24. doi: 10.1186/1471-227X-13-24.
8
Impact of the number of on-scene emergency life-saving technicians and outcomes from out-of-hospital cardiac arrest in Osaka City.大阪市现场急救技术员人数与院外心脏骤停结局的关系。
Resuscitation. 2014 Jan;85(1):59-64. doi: 10.1016/j.resuscitation.2013.09.002. Epub 2013 Sep 12.
9
Association of onset to balloon and door to balloon time with long term clinical outcome in patients with ST elevation acute myocardial infarction having primary percutaneous coronary intervention: observational study.首发症状至球囊扩张时间和门球时间与行直接经皮冠状动脉介入治疗的 ST 段抬高型急性心肌梗死患者长期临床结局的关系:观察性研究。
BMJ. 2012 May 23;344:e3257. doi: 10.1136/bmj.e3257.
10
Matching capacity to demand: a regional dashboard reduces ambulance avoidance and improves accessibility of receiving hospitals.匹配能力与需求:区域仪表盘可减少救护车回避现象,并提高接收医院的可及性。
Acad Emerg Med. 2010 Dec;17(12):1383-9. doi: 10.1111/j.1553-2712.2010.00928.x.