Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review

Author:

Wild Hannah1ORCID,Stewart Barclay T.12,LeBoa Christopher3,Jewell Teresa4,Mehta Kajal1,Wren Sherry M.5

Affiliation:

1. Department of Surgery University of Washington 1959 NE Pacific St. 98195 Seattle WA USA

2. Global Injury Control Section Harborview Injury Prevention and Research Center Seattle WA USA

3. Department of Environmental Health Sciences University of California Berkeley Berkeley CA USA

4. Health Science Library University of Washington Seattle WA USA

5. Stanford University School of Medicine Stanford CA USA

Abstract

AbstractBackgroundNo validated perioperative risk assessment models currently exist for use in humanitarian settings. To inform the development of a perioperative mortality risk assessment model applicable to humanitarian settings, we conducted a scoping review of the literature to identify reports that described perioperative risk assessment in surgical care in humanitarian settings and LMICs.MethodsWe conducted a scoping review of the literature to identify records that described perioperative risk assessment in low‐resource or humanitarian settings. Searches were conducted in databases including: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, World Health Organization Catalog, and Google Scholar.ResultsOur search identified 1582 records. After title/abstract and full text screening, 50 reports remained eligible for analysis in quantitative and qualitative synthesis. These reports presented data from over 37 countries from public, NGO, and military facilities. Data reporting was highly inconsistent: fewer than half of reports presented the indication for surgery; less than 25% of reports presented data on injury severity or prehospital data. Most elements of perioperative risk models designed for high‐resource settings (e.g., vital signs, laboratory data, and medical comorbidities) were unavailable.ConclusionAt present, no perioperative mortality risk assessment model exists for use in humanitarian settings. Limitations in consistency and quality of data reporting are a primary barrier, however, can be addressed through data‐driven identification of several key variables encompassed by a minimum dataset. The development of such a score is a critical step toward improving the quality of care provided to populations affected by conflict and protracted humanitarian crises.

Publisher

Wiley

Subject

Surgery

Cited by 1 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

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