Chronic diseases constitute a significant threat to health. Worldwide, medication adherence in chronic diseases remains unsatisfactory. Understanding factors affecting adherence is essential. This study examined medication adherence by characteristics of patients with chronic diseases. This cross-sectional study included 800 patients. The Adherence to Chronic Diseases Scale was used to measure adherence. Descriptive statistics and logistic regression was used to examine factors influencing medication adherence. Low adherence was found in 19.5% of the patients, 45% had medium adherence, and 35.5% had high adherence. Logistic regression showed that retired ( OR 0.496, 95% CI [0.33–0.75]), having COPD ( OR 0.460, 95% CI [0.32–0.67]) and duration of disease ≤5 years ( OR 1.554, 95% CI [1.11–2.17]) remain independent predictors for high adherence. Mixed findings regarding the relationship between medication adherence and patients’ characteristics were noticed. Patients’ characteristics should be examined with the individual population when examining and attempting to improve medication adherence in clinical practice.

Cardiovascular diseases (CVDs) remain a global health threat, and medication adherence remains low. Medication adherence is a complex phenomenon and is affected by many factors that require investigation. Oman has limited literature examining medication adherence and influencing factors among patients with CVDs. This study examined the influence of health literacy, social support, the patient-physician relationship, and health-related quality of life on medication adherence among patients with cardiovascular diseases. Patients and Methods: This cross-sectional study used a correlation design. The study included 360 participants with CVDs. Descriptive statistics, independent t-test, one-way ANOVA, and multiple regression analysis were utilized for data analyses. Results: Findings revealed that higher social support (B=0.117; p=0.033), good patient-physician relationship (B=0.124; p < 0.01), better mental health (B=0.045; p < 0.01), more bodily pain (B=0.030; p < 0.01), and unemployment (B=1.297; p < 0.01) were predictors of higher adherence. High school education and above predicted lower medication adherence (B= −1.255; p= 0.019), while health literacy was not a significant predictor of medication adherence (B= 0.061; p= 0.289). Conclusion:To improve medication adherence, healthcare providers and researchers should consider improving patients' social support, mental health, and the patient-physician relationship. In addition, patients' socioeconomic status should always be considered and examined as an influencing factor of medication adherence.

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