Illness attribution among Japanese patients with acute myocardial infarction

Yoshimi Fukuoka1, Kathleen Dracup, Fumio Kobayashi

  • 1School of Nursing, University of California San Francisco, 94143-0604, USA.

Abstract

Insights

Japanese patients often don't recognize their cardiac risk factors, except smoking, as causes of acute myocardial infarction (AMI). Effective patient education must align with their understanding of AMI risk factors.

Area of Science:

  • Cardiology
  • Public Health
  • Health Psychology

Background:

  • Acute myocardial infarction (AMI) is a leading cause of mortality worldwide.
  • Understanding patient attributions of causality is crucial for effective secondary prevention strategies.
  • Limited research exists on causal attributions of AMI among Japanese populations.

Purpose of the Study:

  • To describe how Japanese patients attribute causality for their acute myocardial infarction (AMI).
  • To identify commonly perceived causes of AMI among Japanese patients.
  • To explore the relationship between recognized cardiac risk factors and patient-attributed causes of AMI.

Main Methods:

  • Cross-sectional study conducted in 5 urban Japanese hospitals.
  • Convenience sample of 155 patients admitted with AMI.
  • Causal attributions assessed via semi-structured interviews; risk factors verified through medical records and interviews.

Main Results:

  • Twenty-two distinct primary causes for AMI were identified by patients.
  • Smoking, stress, and diet were the most frequently cited causes.
  • Except for smoking, patients rarely attributed their AMI to known cardiac risk factors; those with prior coronary heart disease were less likely to do so.

Conclusions:

  • Patient education and counseling post-AMI should incorporate patients' perceived causes of AMI.
  • Addressing patient beliefs about AMI risk factors is essential for improving adherence to preventive measures.
  • Future interventions should bridge the gap between clinical understanding of risk factors and patient attributions.

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