Factors associated with patient decision time in ST-segment elevation myocardial infarction, in early and late responders-an observational cross-sectional survey study

EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING(2022)

引用 3|浏览6
暂无评分
摘要
Aims A short time span from symptom onset to reperfusion is imperative in ST-segment elevation myocardial infarction (STEMI). The aim of this study was to determine factors associated with patient decision time for seeking care in STEMI, particularly how symptoms were experienced and affected patient response. Methods and results A multicentre cross-sectional self-report survey study was completed at five Swedish hospitals representing geographic diversity. The 521 patients were divided into three groups based on their time to respond to symptoms: early (<20 min), intermediate (20-90 min), and late responders (>90 min). Only one out of five patients both responded early and called an ambulance within 20 min. Believing symptoms were cardiac in origin [odds ratio (OR) 2.60], male sex (OR 2.40), left anterior descending artery as culprit artery (OR 1.77), and bystanders calling an ambulance (OR 4.32) were factors associated with early response and correct action. Associated symptoms such as dyspnoea (OR 1.67) and weakness (OR 1.65) were associated with an early action (<20 min), while chest pain was not independently associated with response time. Cold sweat (OR 0.61) prevented late care-seeking behaviour as did a high symptom burden (OR 0.86). Conclusion Misinterpretation of symptoms delays correct care-seeking behaviour because patient expectations may not be aligned with the experience when stricken by Myocardial infarction. Therefore, it is imperative to continuously enhance public awareness in correct symptom recognition and appropriate care-seeking behaviour and to make efforts to educate individuals at risk for STEMI as well as their next of kin.
更多
查看译文
关键词
Acute coronary syndrome, Decision-making, Care seeking, Pre-hospital delay, Symptom recognition, Symptom response
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要