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S D Med ; 71(2): 72-79, 2018 Feb.
Article in English | MEDLINE | ID: mdl-29990416

ABSTRACT

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is the cessation of electric or mechanical activity of the heart, confirmed by absence of circulation. Survival to hospital dismissal rates have remained low nationwide despite considerable effort to improve treatment. Current initiatives seek systems approaches that optimize care at each point along the "chain of survival." Systems approaches rely on the availability of robust data sets to understand and control variables that can be highly interdependent. The current report seeks to provide a source of reliable data of OHCA for South Dakota. METHODS: Using the "Utstein" guidelines for reviewing and reporting OHCA resuscitations issued by the American Heart Association in 2014, we analyzed the EMS data that were captured by ePCR between January 1, 2013 and December 31, 2015. Inclusion criteria were 911 calls in 2013-2015, where first impression of the call was cardiac arrest. Exclusion criteria were inconsistent and missing data. RESULTS: There were 1,781 OHCA in the ePCR, and 1,280 cases had survival information, with 378 victims surviving to ED. Overall, SD OHCA rates were lower than those reported nationally. Survival was the highest in patients with a shockable rhythm and when victim received bystander CPR. The odds for survival were greater if the arrest took place in an urban setting compared to a rural setting and if the victim received care from an EMS unit that did not have a "hardship" designation. DISCUSSION: Recommendations for future efforts include: (1) Develop and employ quality improvement methodologies for data collection and utilization to minimize the impact of poor or missing data, (2) Assess the educational and training needs of the EMS staff to properly collect, analyze, and develop actionable outputs, (3) Provide public training to include hands-only CPR and PulsePoint.


Subject(s)
Data Science , Emergency Medical Services , Out-of-Hospital Cardiac Arrest/epidemiology , Rural Population/statistics & numerical data , Cardiopulmonary Resuscitation , Humans , South Dakota/epidemiology
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