Improving early identification of the high-risk elderly trauma patient by emergency medical services-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improving early identification of the high-risk elderly trauma patient by emergency medical services

Published:2016-01 Issue:1 Volume:47 Page:19-25
ISSN:0020-1383
Container-title:Injury
language:en
Short-container-title:Injury

Author:

Newgard Craig D.,Holmes James F.,Haukoos Jason S.,Bulger Eileen M.,Staudenmayer Kristan,Wittwer Lynn,Stecker Eric,Dai Mengtao,Hsia Renee Y.

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine,Emergency Medicine

Reference41 articles.

1. National characteristics of emergency medical services responses in the United States;Wang;Prehosp Emerg Care,2013

2. Emergency department visits by persons aged 65 and over: United States, 2009–2010. NCHS data brief, no 130;Albert,2013

3. A multi-site assessment and validation of the ACSCOT trauma triage criteria for identifying seriously injured children and adults;Newgard;Ann Emerg Med,2010

4. Evaluating age in the field triage of injured persons;Nakamura;Ann Emerg Med,2012

5. Undertriage of elderly trauma patients to state-designated trauma centers;Chang;Arch Surg,2008

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Disparity in guideline adherence for prehospital care according to patient age in emergency medical service transport for moderate to severe trauma;Injury;2024-09

2. Prehospital undertriage of older injured patients in Western Switzerland: An observational cross-sectional study;2024-07-23

3. Enhancing Performance of The National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma (pTEST) (Preprint);Journal of Medical Internet Research;2024-03-24

4. Enhancing Performance of The National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Serious Trauma (pTEST) (Preprint);2024-03-24

5. Short‐term outcomes of prehospital opioid pain management for older adults with fall‐related injury;Journal of the American Geriatrics Society;2024-02-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3