• 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

利用先进的数学模型探索挪威空中救护车基地的最佳选址。

Exploring optimal air ambulance base locations in Norway using advanced mathematical modelling.

作者信息

Røislien Jo, van den Berg Pieter L, Lindner Thomas, Zakariassen Erik, Aardal Karen, van Essen J Theresia

机构信息

Department of Health Studies, University of Stavanger, Stavanger, Norway.

Department of Research, Norwegian Air Ambulance Foundation, Drøbak, Norway.

出版信息

Inj Prev. 2017 Feb;23(1):10-15. doi: 10.1136/injuryprev-2016-041973. Epub 2016 Jun 20.

DOI:10.1136/injuryprev-2016-041973
PMID:27325670
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5293838/
Abstract

BACKGROUND

Helicopter emergency medical services are an important part of many healthcare systems. Norway has a nationwide physician staffed air ambulance service with 12 bases servicing a country with large geographical variations in population density. The aim of the study was to estimate optimal air ambulance base locations.

METHODS

We used high resolution population data for Norway from 2015, dividing Norway into >300 000 1 km×1 km cells. Inhabited cells had a median (5-95 percentile) of 13 (1-391) inhabitants. Optimal helicopter base locations were estimated using the maximal covering location problem facility location optimisation model, exploring the number of bases needed to cover various fractions of the population for time thresholds 30 and 45 min, both in green field scenarios and conditioning on the current base structure. We reanalysed on municipality level data to explore the potential information loss using coarser population data.

RESULTS

For a 45 min threshold, 90% of the population could be covered using four bases, and 100% using nine bases. Given the existing bases, the calculations imply the need for two more bases to achieve full coverage. Decreasing the threshold to 30 min approximately doubles the number of bases needed. Results using municipality level data were remarkably similar to those using fine grid information.

CONCLUSIONS

The whole population could be reached in 45 min or less using nine optimally placed bases. The current base structure could be improved by moving or adding one or two select bases. Municipality level data appears sufficient for proper analysis.

摘要

背景

直升机紧急医疗服务是许多医疗系统的重要组成部分。挪威拥有一项由医生提供人员配备的全国性空中救护服务,设有12个基地,为一个人口密度地理差异较大的国家提供服务。本研究的目的是估计空中救护基地的最佳位置。

方法

我们使用了2015年挪威的高分辨率人口数据,将挪威划分为超过30万个1千米×1千米的单元格。有人居住的单元格的中位数(第5至95百分位数)为13(1至391)人。使用最大覆盖选址问题设施选址优化模型估计最佳直升机基地位置,探索在30分钟和45分钟时间阈值下覆盖不同比例人口所需的基地数量,包括在未开发场景以及以当前基地结构为条件的情况下。我们对市政层面的数据进行重新分析,以探索使用更粗略的人口数据时潜在的信息损失。

结果

对于45分钟的阈值,使用4个基地可以覆盖90%的人口,使用9个基地可以覆盖100%的人口。考虑到现有的基地,计算结果表明需要再增加2个基地才能实现全面覆盖。将阈值降低到30分钟,所需基地数量大约会增加一倍。使用市政层面数据的结果与使用精细网格信息的结果非常相似。

结论

通过优化设置9个基地,可以在45分钟或更短时间内覆盖全体人口。通过移动或增加一两个选定的基地,可以改善当前的基地结构。市政层面的数据似乎足以进行适当的分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/c81d724fbbe5/injuryprev-2016-041973f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/6abd66155c0c/injuryprev-2016-041973f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/2a2015f95a7c/injuryprev-2016-041973f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/1e4467a6c42d/injuryprev-2016-041973f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/c81d724fbbe5/injuryprev-2016-041973f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/6abd66155c0c/injuryprev-2016-041973f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/2a2015f95a7c/injuryprev-2016-041973f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/1e4467a6c42d/injuryprev-2016-041973f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef9c/5293838/c81d724fbbe5/injuryprev-2016-041973f04.jpg

相似文献

1
Exploring optimal air ambulance base locations in Norway using advanced mathematical modelling.利用先进的数学模型探索挪威空中救护车基地的最佳选址。
Inj Prev. 2017 Feb;23(1):10-15. doi: 10.1136/injuryprev-2016-041973. Epub 2016 Jun 20.
2
Locating helicopter emergency medical service bases to optimise population coverage versus average response time.确定直升机紧急医疗服务基地以优化人口覆盖范围与平均响应时间。
BMC Emerg Med. 2017 Oct 16;17(1):31. doi: 10.1186/s12873-017-0142-5.
3
Comparing population and incident data for optimal air ambulance base locations in Norway.比较挪威最佳空中救护基地位置的人口和事件数据。
Scand J Trauma Resusc Emerg Med. 2018 May 24;26(1):42. doi: 10.1186/s13049-018-0511-4.
4
Locating helicopter ambulance bases in Iceland: efficient and fair solutions.在冰岛设置直升机救护基地:高效且公平的解决方案。
Scand J Trauma Resusc Emerg Med. 2023 Nov 1;31(1):70. doi: 10.1186/s13049-023-01114-9.
5
Introducing fairness in Norwegian air ambulance base location planning.引入公平性于挪威空中救护基地选址规划中。
Scand J Trauma Resusc Emerg Med. 2021 Mar 20;29(1):50. doi: 10.1186/s13049-021-00842-0.
6
Bi-objective approach for placing ground and air ambulance base and helipad locations in order to optimize EMS response.用于确定地面和空中救护车基地及直升机停机坪位置的双目标方法,以优化紧急医疗服务响应。
Am J Emerg Med. 2017 Dec;35(12):1873-1881. doi: 10.1016/j.ajem.2017.06.026. Epub 2017 Jun 15.
7
Improving ambulance coverage in a mixed urban-rural region in Norway using mathematical modeling.利用数学建模改善挪威城乡混合地区的救护车覆盖范围。
PLoS One. 2019 Apr 12;14(4):e0215385. doi: 10.1371/journal.pone.0215385. eCollection 2019.
8
Accessibility and distribution of the Norwegian National Air Emergency Service: 1988-1998.挪威国家空中紧急服务的可达性与分布:1988 - 1998年
Air Med J. 2002 May-Jun;21(3):39-45. doi: 10.1067/mmj.2202.124220.
9
Helicopter emergency medical services response times in norway: do they matter?挪威直升机紧急医疗服务的响应时间:它们重要吗?
Air Med J. 2015 Mar-Apr;34(2):98-103. doi: 10.1016/j.amj.2014.11.003.
10
[Air ambulance services in Norway].[挪威的空中救护服务]
Nord Med. 1994;109(10):263-4, 268.

引用本文的文献

1
The impact of concurrency conflicts on optimal location of air ambulance bases in Norway.并发冲突对挪威空中救护基地最佳选址的影响。
Scand J Trauma Resusc Emerg Med. 2025 Apr 4;33(1):57. doi: 10.1186/s13049-025-01324-3.
2
Investigating the barriers to air medical services in accidents and disasters in Iran and suggesting solutions: a qualitative study.调查伊朗事故和灾难中空中医疗服务的障碍并提出解决方案:一项定性研究。
BMC Res Notes. 2024 Dec 19;17(1):365. doi: 10.1186/s13104-024-07018-w.
3
Locating helicopter ambulance bases in Iceland: efficient and fair solutions.

本文引用的文献

1
Locating AED Enabled Medical Drones to Enhance Cardiac Arrest Response Times.定位配备自动体外除颤器的医疗无人机以缩短心脏骤停响应时间。
Prehosp Emerg Care. 2016 May-Jun;20(3):378-89. doi: 10.3109/10903127.2015.1115932. Epub 2016 Feb 6.
2
Helicopter-based emergency medical services for a sparsely populated region: A study of 42,500 dispatches.针对人口稀少地区的直升机紧急医疗服务:对42500次调度的研究。
Acta Anaesthesiol Scand. 2016 May;60(5):659-67. doi: 10.1111/aas.12673. Epub 2015 Dec 21.
3
Access to specialist care: Optimizing the geographic configuration of trauma systems.
在冰岛设置直升机救护基地:高效且公平的解决方案。
Scand J Trauma Resusc Emerg Med. 2023 Nov 1;31(1):70. doi: 10.1186/s13049-023-01114-9.
4
Utopia for Norwegian helicopter emergency medical services: Estimating the number of bases needed to radically bring down response times, and lives needed to be saved for cost effectiveness.挪威直升机紧急医疗服务的乌托邦:为了达到成本效益,估计需要多少个基地才能从根本上降低反应时间,以及需要拯救多少生命。
PLoS One. 2023 Mar 30;18(3):e0281706. doi: 10.1371/journal.pone.0281706. eCollection 2023.
5
Factors affecting development of air ambulance base: A systematic review and thematic analysis.影响空中救护基地发展的因素:系统评价与主题分析
J Educ Health Promot. 2021 Aug 31;10:320. doi: 10.4103/jehp.jehp_36_21. eCollection 2021.
6
Introducing fairness in Norwegian air ambulance base location planning.引入公平性于挪威空中救护基地选址规划中。
Scand J Trauma Resusc Emerg Med. 2021 Mar 20;29(1):50. doi: 10.1186/s13049-021-00842-0.
7
Improving ambulance coverage in a mixed urban-rural region in Norway using mathematical modeling.利用数学建模改善挪威城乡混合地区的救护车覆盖范围。
PLoS One. 2019 Apr 12;14(4):e0215385. doi: 10.1371/journal.pone.0215385. eCollection 2019.
8
Comparing population and incident data for optimal air ambulance base locations in Norway.比较挪威最佳空中救护基地位置的人口和事件数据。
Scand J Trauma Resusc Emerg Med. 2018 May 24;26(1):42. doi: 10.1186/s13049-018-0511-4.
9
Locating helicopter emergency medical service bases to optimise population coverage versus average response time.确定直升机紧急医疗服务基地以优化人口覆盖范围与平均响应时间。
BMC Emerg Med. 2017 Oct 16;17(1):31. doi: 10.1186/s12873-017-0142-5.
获得专科护理:优化创伤系统的地理配置。
J Trauma Acute Care Surg. 2015 Nov;79(5):756-65. doi: 10.1097/TA.0000000000000827.
4
Helicopter emergency medical services response times in norway: do they matter?挪威直升机紧急医疗服务的响应时间:它们重要吗?
Air Med J. 2015 Mar-Apr;34(2):98-103. doi: 10.1016/j.amj.2014.11.003.
5
Epidemiology of trauma: a population-based study of geographical risk factors for injury deaths in the working-age population of Norway.创伤流行病学:一项基于挪威劳动年龄人口伤害死亡地理风险因素的人群研究。
Injury. 2014 Jan;45(1):23-30. doi: 10.1016/j.injury.2013.07.007. Epub 2013 Aug 1.
6
Appropriate and safe utilization of helicopter emergency medical services: a joint position statement with resource document.直升机紧急医疗服务的合理与安全应用:联合立场声明及资源文件
Prehosp Emerg Care. 2013 Oct-Dec;17(4):521-5. doi: 10.3109/10903127.2013.804139. Epub 2013 Jul 8.
7
Cost-effectiveness of helicopter versus ground emergency medical services for trauma scene transport in the United States.美国创伤现场转运中直升机与地面紧急医疗服务的成本效益比较。
Ann Emerg Med. 2013 Oct;62(4):351-364.e19. doi: 10.1016/j.annemergmed.2013.02.025. Epub 2013 Apr 9.
8
Impact of a physician-staffed helicopter on a regional trauma system: a prospective, controlled, observational study.医生配备直升机对区域创伤系统的影响:一项前瞻性、对照、观察性研究。
Acta Anaesthesiol Scand. 2013 May;57(5):660-8. doi: 10.1111/aas.12052. Epub 2013 Jan 7.
9
Pre-hospital treatment of stroke--time is brain.中风的院前治疗——时间就是大脑。
Tidsskr Nor Laegeforen. 2012 Sep 4;132(16):1848-9. doi: 10.4045/tidsskr.12.0832.
10
Association between helicopter vs ground emergency medical services and survival for adults with major trauma.直升机与地面紧急医疗服务对创伤成年人存活率的影响关联。
JAMA. 2012 Apr 18;307(15):1602-1610. doi: 10.1001/jama.2012.467.