Predictors of cardiac symptom attribution among AMI patients
Tina Dunlop1, Susan Fox-Wasylyshyn
1Public Services Health and Safety Association, 1505-4950 Yonge St, Toronto, ON. tdunlop@pshsa.ca
Insights
Patients with prior heart disease or symptom expectations matching their acute myocardial infarction (AMI) were more likely to correctly attribute symptoms. Understanding patient beliefs is key for timely cardiac care.
Area of Science:
- Cardiology
- Patient Behavior
- Symptom Recognition
Background:
- Delayed care-seeking is a significant cause of mortality and disability in cardiac patients.
- Prompt recognition of acute myocardial infarction (AMI) symptoms and seeking care improves survival rates.
- Factors influencing cardiac symptom attribution in patients are not well understood.
Purpose of the Study:
- To identify predictors of correct symptom attribution (CSA) in patients experiencing AMI.
- To analyze data from a sample of 135 patients across four North American hospitals.
Main Methods:
- Secondary data analysis.
- Logistic regression modeling was used to identify predictors of CSA.
Main Results:
- Patients with a prior diagnosis of coronary heart disease had higher odds of CSA.
- Patients whose AMI symptoms matched their pre-existing symptom expectations were more likely to achieve CSA.
Conclusions:
- Prior coronary heart disease and aligned symptom expectations predict correct symptom attribution during AMI.
- Patient education and understanding beliefs about AMI are crucial for healthcare providers.
- Addressing misconceptions can improve timely cardiac symptom attribution and care-seeking.
Background:
Care-seeking delay represents a major cause of death and disability for cardiac patients. With more than 70,000 new and recurrent acute myocardial infarctions (AMI) in Canada each year, recognizing symptoms as heart-related and seeking prompt medical care is essential for increasing the likelihood of successful treatment and survival. However, little is known about the factors associated with whether or not individuals attribute their symptoms to the heart (i.e., adopt a cardiac symptom attribution).
Purpose And Design:
Secondary analyses were conducted on data from a sample of 135 patients from four North American hospitals to identify the predictors of correct symptom attribution (CSA) during AMI.
Results And Conclusions:
Logistic regression investigations revealed that patients with a prior diagnosis of coronary heart disease and patients whose AMI experience paralleled their pre-existing symptom expectations were associated with greater odds of adopting a CSA. Results suggest that patient education and a clearer understanding of patients' beliefs about AMI can help nurses in acute care and community settings identify and manage misconceptions that may interfere with correctly attributing symptoms to a cardiac cause.
Related Concept Videos
Acute Coronary Syndrome III: Diagnostic Studies
Angina III: Clinical Manifestations and Assessment
Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations
Fundamental Attribution Error
Theory of Attribution I: Correspondent Inference Theory
Acute Coronary Syndrome I: Introduction

