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Scott M. Sasser

Researcher at Emory University

Publications -  41
Citations -  2422

Scott M. Sasser is an academic researcher from Emory University. The author has contributed to research in topics: Poison control & Triage. The author has an hindex of 20, co-authored 41 publications receiving 2168 citations. Previous affiliations of Scott M. Sasser include Centers for Disease Control and Prevention & University of South Carolina.

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Journal Article

Guidelines for field triage of injured patients recommendations of the national expert panel on field triage.

TL;DR: In this paper, the authors present the dissemination and impact of the 2006 Guidelines for field triage of injured patients; outlines the methodology used by the Panel for its 2011 review; explains the revisions and modifications to the physiologic, anatomic, mechanism-of-injury, and special considerations criteria; and provides the rationale used by Panel for these changes.
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Mass casualty triage: an evaluation of the data and development of a proposed national guideline.

TL;DR: The proposed guideline, entitled SALT (sort, assess, life-saving interventions, treatment and/or transport) triage, was developed based on the best available science and consensus opinion and incorporates aspects from all of the existing triage systems to create a single overarching guide for unifying the mass casualty triage process across the United States.
Journal Article

Guidelines for field triage of injured patients. Recommendations of the National Expert Panel on field triage

TL;DR: This report describes the process and rationale used by the Expert Panel on Field Triage to revise the Decision Scheme, an algorithm that guides EMS providers through four decision steps to determine the most appropriate destination facility within the local trauma care system.
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Multiple Naloxone Administrations Among Emergency Medical Service Providers is Increasing

TL;DR: In this paper, the authors examined data from 2012-5 to determine trends in patients receiving multiple naloxone administrations (MNAs), using logistic regression including demographic, clinical, and operational information to examine factors associated with MNA.