Telephonic descriptions of out-of-hospital cardiac arrest by laypersons calling the dispatch centre of a private emergency medical service in South Africa

  • Stephanie Crause Department of Emergency Medical Care, University of Johannesburg
  • Helen Slabber Department of Emergency Medical Care, University of Johannesburg
  • Elzarie Theron Division of Emergency Medicine, University of Cape Town
  • Willem Stassen Division of Emergency Medicine, University of Cape Town http://orcid.org/0000-0002-1486-4446

Abstract

Background: The incidence of out-of-hospital cardiac arrest (OHCA) is expected to increase in South Africa. In order to encourage bystander cardiopulmonary resuscitation (CPR), international guidelines recommend call-taker recognition of the arrest and the initiation of telephone-guided CPR. One of the only ways that a call-taker can identify OHCA is through the description of the incident offered by the caller. The aim of this study was to identify the keywords and phrases that are used by callers to describe patients who are experiencing OHCA during calls made to a South African private Emergency Medical Service (EMS).

Methods: A qualitative exploratory design was used and employed inductive dominant content analysis to identify the keywords and phrases that are used by callers to describe patients who are experiencing OHCA during calls made to a South African private EMS. The initial sampling frame was all cases of the “Cardiac Arrest” incident type recorded between 1 January 2019 and 31 December 2019.

Results: A total of 28 call recordings were analysed. Keywords and phrases were organised into five categories: 1) Cardiac activity; 2) Level of consciousness; 3) Breathing descriptors; 4) Ill health; and 5) Clinical features.

Conclusion: Callers into a private emergency dispatch centre used consistent descriptors of OHCA, which were similar to those found in previous South African studies. Future research should focus on determining the accuracy of these descriptors to differentiate between OHCA and other conditions, and integrate them into OHCA recognition algorithms, call-taker training and telephone-guided CPR protocols.

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Published
2023-09-13
Section
Short Report