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Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia: A descriptive study
Abdulaziz M Almarwani1, Bayan M Almarwani1
1From the Department of Psychiatric Nursing (A. M. Almarwani), College of Nursing; and from the Department of Internal Medicine (B. M. Almarwani), College of Medicine, Taibah University, Al-Madinah Al-Munawarah, Kingdom of Saudi Arabia.
Insights
Medication adherence is poor in about 30% of coronary artery disease patients. Factors like family support and regular cardiologist visits improve adherence.
Area of Science:
- Cardiology
- Public Health
- Health Services Research
Background:
- Coronary artery disease (CAD) requires long-term medication management.
- Medication adherence is crucial for managing CAD and preventing complications.
- Understanding factors influencing adherence is vital for improving patient outcomes.
Purpose of the Study:
- To quantify medication adherence rates in coronary artery disease (CAD) patients.
- To identify sociodemographic predictors of medication adherence in this population.
Main Methods:
- Cross-sectional correlation study adhering to STROBE guidelines.
- Data collected from 278 patients at a cardiac center in Saudi Arabia (March 2019 - January 2020).
- Survey used to assess medication adherence and related factors.
Main Results:
- 59.4% reported moderate, 30.6% poor, and 10% good medication adherence.
- Higher adherence observed in women, highly educated patients, non-smokers, those with regular cardiologist follow-up, and those with family support.
- Gender, doctor visits, family support, and education level significantly predicted medication adherence.
Conclusions:
- A significant proportion (around 30%) of CAD patients exhibit poor medication adherence.
- Increased cardiologist visits and strong family support are key factors associated with better medication adherence.
- Targeting these factors may improve medication adherence and cardiovascular outcomes.
Objectives:
To measure medication adherence among coronary artery disease (CAD) patients and identify sociodemographic factors that are medication adherence predictors.
Methods:
A cross-sectional correlation design was carried out, following the STROBE guidelines. The study was carried out in a specialized cardiac center in the western region of Saudi Arabia between March 2019 and January 2020. A total of 278 patients completed the study survey.
Results:
The majority of participants (59.4%) reported moderate medication adherence, and the remainder reported poor (30.6%) and good (10%) medication adherence. It was found that women patients, patients with higher education levels, non-smokers, patients who regularly followed-up with their cardiologist, and patients with family support showed significantly higher medication adherence. Four of the sociodemographic variables (gender, number of doctor visits, family support, and education level) predicted medication adherence.
Conclusion:
Approximately 30% of the participants reported poor medication adherence. The number of cardiologist visits and the level of family support were 2 of the factors found to be associated with medication adherence.
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