Abstract
Introduction: Cardiac arrest patients presenting with back pain are at risk of not receiving the appropriate help when calling emergency medical services. In telephone consultations regarding patients with back pain pre-ceding an out-of-hospital cardiac arrest, we investigated how communication between caller and call-taker influenced the call-taker's interpretation of back pain descriptions and decision-making about choice of response.Method: The study was conducted using 20 recorded phone calls from 17 patients who contacted the Copenhagen Emergency Medical Services (Denmark) reporting back pain up to 24 hours before an out-of-hospital cardiac arrest. Qualitative content analysis was applied.Results: Two main categories emerged: (1) reasons, including subcategories: reported conditions, descriptions of conditions, patient's interpretation of condition and patient's own remedial actions; and (2) considerations, including subcategories: assessment of the severity, call-taker's interpretation of the condition, arguments for chosen response and conditions not facilitating further communication by the call-taker.Conclusion: In telephone consultations regarding patients with back pain preceding an out-of-hospital cardiac arrest the communication was influenced by the communicative preconditions of the call-taker. Communication in consultations where ambulances were not dispatched was characterized by complex descriptions of symptoms not easily fitting into the health system's interpretations of conditions warranting an urgent response.
| Original language | English |
|---|---|
| Article number | 101200 |
| Journal | International Emergency Nursing |
| Volume | 64 |
| Number of pages | 7 |
| ISSN | 1755-599X |
| DOIs | |
| Publication status | Published - 2022 |
Funding
Funding source This work was supported by The Danish Heart Foundation [Grant No R122-A8403] .
Keywords
- Out -of -hospital cardiac arrest
- Back pain
- Early warning signs
- Symptoms
- Emergency medical services
- Communication
- Qualitative content analysis
- Systems theory
- CARE
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