Prevalence, associated causes, and explanatory variables of non-adherence of generic imatinib in chronic myeloid leukemia
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Keywords

Medication Adherence
Leukemia Myelogenous Chronic BCR-ABL Positive
Risk Factors

How to Cite

Estrada, J., Madrigal-Cadavid, J., Rendon-Montoya, A., Gómez-Mercado, C. A., Giraldo-Gallo, E. A., Cardona-Arango, D., & Segura-Cardona, A. M. (2024). Prevalence, associated causes, and explanatory variables of non-adherence of generic imatinib in chronic myeloid leukemia. Salud UIS, 56. https://doi.org/10.18273/saluduis.56.e:24023

Abstract

Objective: To determine the prevalence of non-adherence, associated causes, the proportion of patients who improve this non-compliance, and its explanatory variables. Methods: A retrospective observational cross-sectional analytical study was performed, on patients with Chronic Myeloid Leukemia and treatment with Imatinib generic brand, dispensed by a health institution between August 2018 and December 2022. Drug adherence status was defined as the dependent variable and sociodemographic, clinical, and pharmacological variables as independent variables. The information was extracted from a database of pharmacotherapeutic follow-ups performed on patients automatically identified through algorithms as non-adherent. Pharmacists contacted the patient to intervene and improve this compliance. Univariate, bivariate, and multivariate analysis was performed. Results: A total of 315 patients were analyzed, with a mean age of 52±17 years, median treatment time of 250 days [RIC 97-362], 11% were polymedicated and 16.8% were multimorbid; 30.5% were non-adherent. The associated causes were lack of specialist appointment (39.6%), delay in authorization by the insurer (31.9%) and not having a current medical prescription (5.5%). Of the non-adherent patients, 86% had a history of pharmacological non-adherence and 61% of non-timely claims. After the pharmacist's intervention, 80% improved this inadequate compliance. During the bivariate analysis, the variables age, time on treatment, and having a history of non-adherence were found to be significant, which, in the multivariate model, behaved as risks with statistical significance. When adjusting the model for the other variables, although they continued to behave as risks, only the variable of a history of non-adherence remained statistically significant. Conclusion: The prevalence of non-adherence is higher than that reported in the literature, the associated causes are mainly administrative, and the persons at greater risk of presenting this health outcome are those with greater age, less time in treatment, and those with a history of non-adherence to other medications.

https://doi.org/10.18273/saluduis.56.e:24023
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Copyright (c) 2024 Jorge Estrada, Juliana Madrigal-Cadavid, Alejandra Rendon-Montoya, Carlos Alberto Gómez-Mercado, Erika Alejandra Giraldo-Gallo, Doris Cardona-Arango, Angela María Segura-Cardona

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