PREDICTORS OF MEDICATION ADHERENCE AMONG CARDIOVASCULAR PATIENTS IN A TERTIARY CARE HOSPITAL: A PROSPECTIVE OBSERVATIONAL STUDY REVIEW
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Naga Subrahmanyam S
Associate Professor, Department of Pharmacy Practice, Koringa College of Pharmacy, Kakinada
subrahmanyamsatupati@gmail.com
Abstract
Background: Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide. Medication adherence plays a crucial role in achieving optimal therapeutic outcomes in cardiovascular patients.
Objective: To review current evidence regarding predictors of medication adherence among cardiovascular patients in tertiary care settings.
Methods: A comprehensive review of recent literature focusing on prospective observational studies, systematic reviews, and cross-sectional studies evaluating predictors of medication adherence in CVD populations.
Results: Medication adherence is influenced by socio-demographic, disease-related, therapy-related, psychological, behavioral, and healthcare system factors. Tools such as MARS, and pharmacy refill records are widely used to assess adherence. Polypharmacy, depression, low health literacy, and poor patient-provider communication were consistently associated with poor adherence.
Conclusion: Identifying predictors of medication adherence enables targeted interventions, improves clinical outcomes, and reduces healthcare burden in cardiovascular patients.
References
2. Li J, Mudiganti S, Husby H, et al. Factors and outcomes associated with adherence to statins among patients with newly diagnosed cardiovascular disease. Am J Prev Cardiol. 2025;23:101028.
3. Hou Q, Zhao Y, Wu Y. Medication adherence trajectories and clinical outcomes in patients with cardiovascular disease: a systematic review and meta-analysis. J Glob Health. 2025;15:04145.
4. Dagnew SB, Wondm SA, Dagnew FN, et al. Level of medication adherence and its determinants of cardiovascular disease patients attending at specialized teaching hospitals of Amhara regional state, Ethiopia: a multicenter cross-sectional study. Front Pharmacol. 2024;15:1422703.
5. Arshed M, Kiran M, Umer MF, et al. Prevalence and associated factors of adherence to antihypertensive medication: a nationwide cross-sectional study. BMC Public Health. 2025;25:2364.
6. Al-Ganmi AH, Alotaibi A, Gholizadeh L, Perry L. Medication adherence and predictive factors in patients with cardiovascular disease: a cross-sectional study. Nurs Health Sci. 2020;22(2):454-63.
7. He QH, Zheng J, Liu JL, et al. Predictors of medication adherence of patients with coronary heart disease after percutaneous coronary intervention: a structural equation modeling study. J Cardiovasc Nurs. 2022;37(4):350-8.
8. Mamaghani EA, Soleimani A, Zirak M. Trust in nurses and its association with medication adherence of cardiovascular patients: a descriptive correlational study. Int J Nurs Stud Adv. 2025;100278.
9. Jarab AS, et al. Medication non-adherence among outpatients with myocardial infarction: association with clinical and behavioural predictors. Clin Epidemiol Glob Health. 2024;[Epub ahead of print].
10. Kukulska A, Garwacka-Czachor E. Assessment of adherence to treatment recommendations among patients with heart failure: a cross-sectional study. BMC Cardiovasc Disord. 2024;24:337.
11. Zakeri M, Sansgiry SS, Abughosh SM. Application of machine learning in predicting medication adherence of patients with cardiovascular diseases: a systematic review. J Med Artif Intell. 2022;5:5.
12. Leslie KH, McCowan C, Pell JP. Adherence to cardiovascular medication: a review of systematic reviews. J Public Health (Oxf). 2019;41(1):e84-94.
13. Tannous EE, et al. Predictive modelling of medication adherence in post-MI patients using Bayesian regression. Eur J Prev Cardiol. 2025;32(8):649-58.
14. Al-Arkee S, Mason J, Lane DA, et al. Mobile apps to improve medication adherence in cardiovascular disease: systematic review and meta-analysis. JMIR. 2021;23(5):e24190.
15. Li J, Zhang Z, Si S, et al. Antihypertensive medication adherence and cardiovascular disease risk: longitudinal cohort study. Atherosclerosis. 2021;320:24-30.
16. Bagyawantha NMYK, Dangahage IN, Mayurathan G, Pushpika WMS. Evaluation of medication adherence and appropriateness among heart failure patients at a tertiary care hospital. Pharmacy. 2025;13(4):101.
17. Otero-Leon D, Lavieri M, Denton B, et al. Who goes next? Optimizing allocation of adherence-improving interventions using predictive modelling. arXiv. 2024. [Preprint].
18. AIMI. Forecasting medication adherence with AI. arXiv. 2025. [Preprint].
19. Anonymous. International observational adherence patterns. BMC Cardiovasc Disord. 2025;26:9.
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