Illness Perception, Self-Efficacy, and Medication Adherence in Patients With Coronary Artery Disease: A Path Analysis

Soheil Mobini1, Atefeh Allahbakhshian1, Reza Shabanloei1

  • 1Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran.

SAGE Open Nursing
|June 19, 2023
PubMed

Insights

Illness perception and self-efficacy significantly impact medication adherence in coronary artery disease (CAD) patients. Improving these factors can enhance adherence and disease management.

Area of Science:

  • Cardiology
  • Health Psychology
  • Behavioral Medicine

Background:

  • Medication adherence is crucial for managing coronary artery disease (CAD).
  • Illness perception and self-efficacy are key psychological factors influencing patient behavior.
  • Understanding these factors is vital for improving treatment outcomes in CAD patients.

Purpose of the Study:

  • To investigate factors influencing medication adherence in CAD patients.
  • To specifically examine the impact of illness perception and self-efficacy on medication adherence.
  • To identify potential targets for interventions aimed at improving adherence.

Main Methods:

  • A cross-sectional study was conducted with 259 confirmed CAD patients.
  • Illness perception, self-efficacy, and medication adherence were assessed using validated questionnaires (Brief IPQ, SCSES, MARS_10).
  • Data were analyzed using regression path analysis with STATA software.

Main Results:

  • A majority of patients (61.8%) adhered to their medication regimen.
  • Moderate illness perception and high self-efficacy were observed.
  • Greater illness perception, higher self-efficacy, and increased education positively influenced adherence, while older age negatively impacted it.

Conclusions:

  • Illness perception is a significant predictor of self-efficacy and medication adherence in CAD patients.
  • Interventions should focus on enhancing patients' illness perceptions to improve self-efficacy and medication adherence.
  • Targeting psychological factors offers a promising avenue for better CAD management.
Abstract

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