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Risk Factors for Non-Adherence to Medication for Liver Transplant Patients: An Umbrella Review
Jordi Colmenero1, Mikel Gastaca2, Laura Martínez-Alarcón3
1Liver Transplant Unit, Hospital Clínic, IDIBAPS, CIBERehd, University of Barcelona, 08007 Barcelona, Spain.
Identifying risk factors for medication non-adherence in liver transplant (LT) patients is crucial for preventing graft failure and mortality. This review categorizes these predictors to aid clinicians in patient management and intervention design.
Area of Science:
- Medical Science
- Transplantation Medicine
- Pharmacology
Background:
- Liver transplantation (LT) is a vital treatment for end-stage liver disease.
- Medication adherence in LT recipients is critical for long-term graft survival and patient outcomes.
- Non-adherence poses significant risks, including graft failure, mortality, and reduced quality of life.
Purpose of the Study:
- To systematically identify and categorize risk factors associated with non-adherence to immunosuppressive medication in liver transplant patients.
- To synthesize evidence from published literature to understand predictors of adherence and non-adherence.
Main Methods:
- An umbrella review methodology was employed, adhering to PRISMA guidelines.
- Eleven relevant articles were systematically selected and analyzed.
- Risk factors for non-adherence were classified using the World Health Organization's (WHO) framework.
Main Results:
- Non-adherence factors were identified and grouped into five main categories: sociodemographic, patient-related, treatment-related, condition-related, and health system-related.
- These factors directly or indirectly influence medication adherence in liver transplant recipients.
- The identified factors serve as predictors for both adherence and non-adherence.
Conclusions:
- Sociodemographic, patient, treatment, condition, and health system factors are key predictors of medication adherence in liver transplant patients.
- This classification aids clinicians in identifying at-risk patients and developing targeted interventions.
- Understanding these predictors can inform the design of tools to improve adherence post-transplantation.
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