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.
Abstract

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