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. 2022 Feb 1:9:100208.
doi: 10.1016/j.resplu.2022.100208. eCollection 2022 Mar.

Out-of-hospital cardiac arrest: Does rurality decrease chances of survival?

Kristian Bundgaard Ringgren  1 , Kristian Hay Kragholm  1 , Filip Lyng Lindgren  1 , Peter Ascanius Jacobsen  2 , Anne Juul Jørgensen  3 , Helle Collatz Christensen  3   4 , Elisabeth Helen Anna Mills  2 , Louise Kollander Jakobsen  3 , Harman Yonis  5 , Fredrik Folke  3 , Freddy Lippert  3 , Christian Torp-Pedersen  1   5   6
Affiliations

Out-of-hospital cardiac arrest: Does rurality decrease chances of survival?

Kristian Bundgaard Ringgren et al. Resusc Plus. .

Abstract

Background: Geographical setting is seldomly taken into account when investigating out-of-hospital cardiac arrest (OHCA). It is a common notion that living in rural areas means a lower chance of fast and effective helpwhen suffering a time-critical event. This retrospective cohort study investigates this hypothesis and compares across healthcare-divided administrative regions.

Methods: We included only witnessed OHCAs to minimize the risk that outcome was predetermined by time to caller arrival and/or recognition. Arrests were divided into public and residential. Residential arrests were categorized according to population density of the area in which they occurred. We investigated incidence, EMS response time and 30-day survival according to area type and subsidiarily by healthcare-divided administrative region.

Results: The majority (71%) of 8,579 OHCAs were residential, and 53.2% of all arrests occurred in the most densely populated cell group amongst residential arrests. This group had a median EMS response time of six minutes, whereas the most sparsely populated group had a median of 10 minutes. Public arrests also had a median response time of six minutes. 30-day survival was highest in public arrests (38.5%, [95% CI 36.9;40.1]), and varied only slightly with no statistical significance between OHCAs in densely and sparsely populated areas from 14.8% (95% CI 14.4;15.2) and 13.4% (95% CI 12.2;14.7).

Conclusion: Our study demonstrates that while EMS response times in Denmark are longer in the rural areas, there is no statistically significant decrease in survival compared to the most densely populated areas.

Keywords: AED, Automated External Defibrillator; ALS, Advanced Life Support; BLS, Basic Life Support; EMS response time; EMS, Emergency Medical Services; GPS, Global Positioning System; Geography; HEMS, Helicopter Emergency Services; IQR, Interquartile Range; OHCA; OHCA, Out of Hospital Cardiac Arrest; Out-of-hospital cardiac arrest; Population density; Survival.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Inclusion flowchart.
Fig. 2
Fig. 2
Median EMS response time in minutes according to population density. Front end of ambulances showing median response time, end of headlight depicting 3rd quartile and IQR presented under the median as text on to the left.
Fig. 3
Fig. 3
Survival in % according to cell group. Dot represents survival percentage and lines indicate 95% confidence interval (CI). Colouring of dots and lines are according to cell group.
Fig. 4
Fig. 4
Survival in % according to cell group and healthcare-divided administrative region. Dot represents survival percentage and lines indicate 95% confidence interval (CI). Colouring of dots and lines are according to healthcare-divided.
See this image and copyright information in PMC

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