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Medication Adherence and Patients' Characteristics in Chronic Diseases: A National Multi-Center Study
Huda Al-Noumani1, Maryam Al-Harrasi1, Jimmy Jose2
1Sultan Qaboos University, Muscat, Oman.
Insights
Medication adherence in chronic diseases is crucial. Retired patients, those with COPD, and shorter disease duration (≤5 years) showed higher adherence, highlighting the need for personalized strategies.
Area of Science:
- Public Health
- Clinical Pharmacy
- Chronic Disease Management
Background:
- Chronic diseases pose a significant global health burden.
- Medication adherence among patients with chronic conditions is often suboptimal.
- Identifying factors influencing adherence is critical for effective management.
Purpose of the Study:
- To investigate the relationship between patient characteristics and medication adherence in chronic diseases.
- To identify specific patient demographics and conditions associated with varying adherence levels.
Main Methods:
- A cross-sectional study involving 800 patients with chronic diseases.
- Utilized the Adherence to Chronic Diseases Scale to assess medication adherence.
- Employed descriptive statistics and logistic regression analysis to determine influencing factors.
Main Results:
- 19.5% of patients exhibited low adherence, 45% medium, and 35.5% high adherence.
- Logistic regression identified retired status (OR 0.496), COPD (OR 0.460), and disease duration ≤5 years (OR 1.554) as independent predictors of high adherence.
- Observed mixed findings regarding the association between patient characteristics and medication adherence.
Conclusions:
- Patient characteristics significantly influence medication adherence in chronic diseases.
- Factors such as retirement, COPD diagnosis, and disease duration are key predictors.
- Personalized approaches are necessary to improve medication adherence in clinical practice.
Abstract:
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.
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