Background & Aims: Coronary artery disease remains a leading cause of global mortality, and its management requires strict adherence to prescribed treatments. Given the importance of this issue, the present study aimed to assess the treatment adherence status of patients with coronary artery disease discharged from Seyed Al-Shohada and Ayatollah Taleghani hospitals in Urmia in 2024.
Materials & Methods: This descriptive cross-sectional study was conducted on 430 eligible individuals who met the inclusion criteria and were selected using convenience sampling. Data were collected using demographic and treatment adherence questionnaires. Descriptive statistics (means, frequencies) were used for data analysis, while Pearson correlation and linear regression were applied to examine relationships and predictions between variables and t-tests and ANOVA were used for analytical calculations.
Findings: The results showed that the level of adherence to treatment among the patients studied was generally satisfactory (142.49 ± 49.92). In addition, Significant predictors including education level, gender, type of treatment, and severity of disease (number of vessels involved) affect the level of adherence to treatment in patients with coronary artery disease (R²=0.033 and p<0.05). Notably, the patients with lower education had better adherence to treatment, while those with higher education and patients with more vascular involvement showed lower adherence. Also, women had higher adherence to treatment compared to men (p<0.05). 
Conclusion: This study revealed that treatment adherence in patients with coronary artery disease is influenced by multiple factors including education level, treatment type, disease severity, and gender. Therefore, targeted educational and supportive interventions tailored to the needs of patients, particularly high-risk groups, can improve adherence to treatment and ultimately contribute to better disease management. We recommend that healthcare officials develop comprehensive support and educational policies and implement programs to screen and identify patients at risk of non-adherence to treatment.