Analysis on the Characteristics of Suicide Attempter in Jeollabuk-do using 119 Emergency Medical Service Data

2020 ◽  
Vol 22 (2) ◽  
pp. 845-861
Author(s):  
Jin Young Won ◽  
Jin Dong Shin
Keyword(s):  
Emergency Medical Service ◽  
Medical Service ◽  
Suicide Attempter ◽  
Emergency Medical ◽  
Service Data

scholarly journals Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020

10.2196/22331 ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e22331 ◽  
Author(s):  
David R Sayers ◽  
Scott T Hulse ◽  
Bryant J Webber ◽  
Timothy A Burns ◽  
Anne L Denicoff
Keyword(s):  
Public Health ◽  
Emergency Medical Service ◽  
Medical Service ◽  
Emergency Department Visits ◽  
Montgomery County ◽  
Health Departments ◽  
The Public ◽  
Public Health Departments ◽  
Emergency Medical ◽  
Service Data

Epidemiologic and syndromic surveillance metrics traditionally used by public health departments can be enhanced to better predict hospitalization for coronavirus disease (COVID-19). In Montgomery County, Maryland, measurements of oxygen saturation (SpO2) by pulse oximetry obtained by the emergency medical service (EMS) were added to these traditional metrics to enhance the public health picture for decision makers. During a 78-day period, the rolling 7-day average of the percentage of EMS patients with SpO2 <94% had a stronger correlation with next-day hospital bed occupancy (Spearman ρ=0.58, 95% CI 0.40-0.71) than either the rolling 7-day average of the percentage of positive tests (ρ=0.55, 95% CI: 0.37-0.69) or the rolling 7-day average of the percentage of emergency department visits for COVID-19–like illness (ρ=0.49, 95% CI: 0.30-0.64). Health departments should consider adding EMS data to augment COVID-19 surveillance and thus improve resource allocation.

scholarly journals Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020 (Preprint)

2020 ◽  
Author(s):  
David R Sayers ◽  
Scott T Hulse ◽  
Bryant J Webber ◽  
Timothy A Burns ◽  
Anne L Denicoff
Keyword(s):  
Public Health ◽  
Emergency Medical Service ◽  
Medical Service ◽  
Emergency Department Visits ◽  
Montgomery County ◽  
Health Departments ◽  
The Public ◽  
Public Health Departments ◽  
Emergency Medical ◽  
Service Data

UNSTRUCTURED Epidemiologic and syndromic surveillance metrics traditionally used by public health departments can be enhanced to better predict hospitalization for coronavirus disease (COVID-19). In Montgomery County, Maryland, measurements of oxygen saturation (SpO<sub>2</sub>) by pulse oximetry obtained by the emergency medical service (EMS) were added to these traditional metrics to enhance the public health picture for decision makers. During a 78-day period, the rolling 7-day average of the percentage of EMS patients with SpO<sub>2</sub> &lt;94% had a stronger correlation with next-day hospital bed occupancy (Spearman ρ=0.58, 95% CI 0.40-0.71) than either the rolling 7-day average of the percentage of positive tests (ρ=0.55, 95% CI: 0.37-0.69) or the rolling 7-day average of the percentage of emergency department visits for COVID-19–like illness (ρ=0.49, 95% CI: 0.30-0.64). Health departments should consider adding EMS data to augment COVID-19 surveillance and thus improve resource allocation.

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