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Srilakshmi Sangaraju, MS

Barriers Significantly Influence Time to Bystander Compressions in Out-of-Hospital Cardiac Arrest

Greg Scott, MBA, EMD-QI, Meghan Broadbent, MS, Isabel Gardett, PhD, Srilakshmi Sangaraju, MS, Jeff J. Clawson, MD, Christopher Olola, PhD

Apr 09, 2019|AEDR 2019 Vol. 7 Issue 1|Original Research

Rapid identification of sudden out-of-hospital cardiac arrest (OHCA) and delivery of bystander chest compressions in patients with ventricular fibrillation are key elements in the chain of survival. However, time to bystander compressions can be greatly affected by a wide variety of barriers, some beyond an EMD's control. The aim of this study is to identify and quantify the impact that barriers have on the time taken to achieve bystander compressions for suspected OHCAs. This retrospective, quantitative cohort...

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Predicting the Need for Extrication in Traffic Accidents Reported to 911: Is Anyone Pinned/Trapped?

Chris Davis, EMD-I, Paige Dodson, MD, MPH, FAAFP, Chad Pore, MS, Srilakshmi Sangaraju, MS, Meghan Broadbent, MS, Greg Scott, MBA, EMD-QI, Isabel Gardett, PhD, Christopher Olola, PhD

Dec 04, 2018|AEDR 2018 Vol. 6 Issue 3|Original Research

Extrication activities at the scene of motor vehicle accidents (MVA) result in extended scene times and increase morbidity and mortality. Identifying the need for extrication-capable resources during the 911 call-taking process, and dispatching them without delay, is crucial to delivering the required response and patient care. Determining the need for extrication using the Traffic/Transport Incidents Protocol in the Medical Priority Dispatch System (MPDS®) (version 13.0 ©2000-2015, Priority Dispatch, Salt Lake City, Utah, USA)...

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Is Emergency Medical Dispatcher Low-Acuity Code Selection Influenced by a User-Interface Software Modification?

Greg Scott, MBA, EMD-QI, Christopher Olola, PhD, Isabel Gardett, PhD, Meghan Broadbent, MS, Srilakshmi Sangaraju, MS, Bryon Schultz, BA, Lisa Burnette, Jeff J. Clawson, MD

Sep 06, 2018|AEDR 2018 Vol. 6 Issue 2|Original Research

Sick Person (Specific Diagnosis) is one of the most commonly used Chief Complaint Protocols in the Medical Priority Dispatch System™. Within the Sick Person Protocol, the 26-A-1 coding represents a group of patients with no specific identifiable complaint. This vague categorization presents a problem for dispatch systems and EMS responders alike, since so little is captured about the patient's true condition. The objective of this study was to determine whether changing the order of the "No" answer choice on the...

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Emergency Medical Dispatch Identification of Opioid Overdose and Frequency of NARCAN Administration on Scene

Richard E. Lindfors, NRP, EMD-Q, Bryon Schultz, BA, Rob Lawrence, Danny Garrison, Shannon Smith, Todd Stout, Greg Scott, MBA, EMD-QI, Isabel Gardett, PhD, Meghan Broadbent, MS, Srilakshmi Sangaraju, MS, Marc Gay, Mike Taigman, MS, Jeff J. Clawson, MD, Christopher Olola, PhD

Aug 20, 2018|Research Posters

Opioid overdoses have reached critical proportions in the United States of America (USA or US) and worldwide. The US Centers for Disease Control and Prevention report that more than 90 Americans die every day from opioid overdose, and the epidemic was recently declared a national public health emergency. One response to the crisis has been to increase the availability of naloxone HCl (commonly referred to by the brand name NARCAN), a treatment that reverses the effects of opioid overdose when injected or inhaled. The Medical Priority Dispatch System (MPDS®) version 13.0 includes instructions...

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Predicting the Need for Extrication in Traffic Accidents Reported to 911

Chris Davis, EMD-I, Paige Dodson, MD, MPH, FAAFP, Laura Meyers, Christopher Olola, PhD, Chad Pore, MS, Chad Russell, CCEMT, P, Srilakshmi Sangaraju, MS, Greg Scott, MBA, EMD-QI, Isabel Gardett, PhD, Frank Williams, Dawn Faudere, EMT-P, EMD-Q

Aug 17, 2018|Research Posters

Extrication activities at the scene of motor vehicle accidents (MVA) result in extended scene times, and increase morbidity and mortality. Identifying the need for extrication-capable resources during the 9-1-1 call-taking process, and dispatching them without delay, is crucial to delivering the required response and patient care. Determining the need for extrication using this protocol currently relies on the 9-1-1 caller's answer to a single key question in the protocol: "Is anyone pinned (trapped)?" The aims of this study were to determine the predictive value of the single key question...

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