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Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
Decision-Making in Seeking Emergency Care for Stroke Symptoms
Jenny Andersson1,2, Sofie Jakobsson3, Åsa Rejnö4,5
1Department of Molecular and Clinical Medicine Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.
Fear significantly impacts stroke patient decisions, influencing whether they seek immediate emergency care or delay treatment. Understanding these fear-driven choices is crucial for improving stroke response times and patient outcomes.
Area of Science:
- Neurology
- Psychology
- Public Health
Background:
- Rapid treatment for stroke, particularly ischemic stroke, is vital for reducing mortality and disability.
- Current focus is on reducing hospital arrival-to-treatment times.
- Significant delays often occur between stroke symptom onset and hospital arrival.
Purpose of the Study:
- To explore the decision-making processes of first-time stroke patients after symptom onset.
- To understand factors influencing the time from symptom onset to seeking medical attention.
Main Methods:
- Grounded theory methodology was employed.
- 36 first-time stroke patients (aged 18+) were interviewed within 4 weeks of symptom onset.
- Patients were identified retrospectively via medical record review.
Main Results:
- Fear was a universal emotion experienced by all patients, significantly affecting their decision to seek emergency care.
- Decision-making was categorized as 'Acting on fear,' with actions determined by the specific reason for fear.
- Three main behavioral categories emerged: immediate care-seeking, pending/reluctance to seek care, and confusion/seeking explanations for symptoms.
Conclusions:
- Stroke patient decision-making is complex and heavily influenced by fear.
- Understanding the nuances of fear-driven responses is essential for developing targeted public health interventions.
- Findings can inform future stroke awareness campaigns to improve pre-hospital response times.
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