Behaviour change interventions to improve medication adherence in patients with cardiac disease: Protocol for a mixed methods study including a pilot randomised controlled trial

Levels of adherence to treatment, illness perception and acceptance of illness in patients with coronary artery disease - descriptive and correlational study

BACKGROUND

Understanding the disease and its acceptance significantly influence adherence to prescribed medications, a critical aspect in managing coronary artery disease (CAD). This study is designed to explore the multifaceted factors influencing medication adherence specifically in CAD patients. Of particular interest is investigating the interconnectedness between medication adherence, the perception of illness, and the level of acceptance of the illness itself among these individuals.

METHODS

This cross-sectional study involved 280 confirmed CAD patients who were selected through a convenience sampling method adhering to predefined inclusion criteria. The study was conducted between March and September 2023. Three primary parameters-medication adherence, illness perception, and acceptance of illness-were evaluated using standardized tools: The Morisky Medication Adherence Scale-8, Illness Perception Questionnaire-Brief, and Acceptance of Illness Scale. Statistical analyses using SPSS (version 25) were used to analyze the data.

RESULTS

Patients had moderate illness perception (51.82 ± 7.58) and low acceptance to illness (16.98 ± 4.75), and 61.8 of them adhered to their medication regimen. A positive relationship between acceptance of illness and medication adherence (r = 0.435, p-value < 0.01) was found. Level of education, type of drug and marital status had significantly impact on medication adherence, and gender, level of education, intention to stop drug and marital status were associated with acceptance of illness (p < 0.05).

CONCLUSION

These results underscore the pivotal role of medication adherence in CAD management. Future interventions should target improving illness perception and acceptance of illness among CAD patients to enhance their overall adherence to prescribed medications and ultimately improve disease management.

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

Introduction

Illness perception and self-efficacy in patients with coronary artery disease (CAD) may affect medication adherence, which is one of the most important challenges in disease management in this group of patients.

Objective

The present study aimed to investigate the factors influencing medication adherence in CAD patients, especially the effect of illness perception and self-efficacy.

Methods

This study was cross-sectional and conducted from April to September 2021. A total of 259 patients with confirmed CAD were selected by convenience sampling method based on inclusion criteria. Illness perception, self-efficacy, and medication adherence were investigated using Brief IPQ, SCSES, and MARS_10 questionnaires, respectively. The data were analyzed using the STATA software (version 14) and the regression path analysis method.

Results

Patients had moderate illness perception and high self-efficacy, and 61.8 of them adhered to their medication regimen. Greater illness perception, better self-efficacy, and higher education had a positive effect on medication adherence, and increasing age had a negative effect on it. The final path model shows a good fit of the data in the model (χ2: 0.37, df: 274, χ2/df: 0.36, CFI: 1, IFI: 0.95, TLI: 1.07, and RMSEA: 0.00).

Conclusion

The results of the present study suggest that patients' illness perception can play an important role in predicting self-efficacy in disease management and the level of medication adherence in patients with CAD. To improve self-efficacy and medication adherence, future intervention studies should focus on the patient's illness perceptions and their improvement.