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Tyrosine kinase inhibitors in patients with chronic myelogeneous leukemia: defining the role of social risk factors and non-adherence to treatment.

Okumura LM, Antunes VD, Aguiar KS, Farias T, Andrzejevski VM, Funke VM - Pharm Pract (Granada) (2015)

Bottom Line: Baseline characteristics between groups were compared between cases and controls groups.Despite patients with secondary school (p=0.03), most of investigated social risk factors did not differ between groups.Regression techniques may lead to untrue statements, so future researches should consider investigating the causes, not only the statistical estimates.

View Article: PubMed Central - PubMed

Affiliation: Pharmacy Department, Clinical Hospital, Federal University of ParanĂ¡ . Curitiba, PR ( Brazil ). lucasokumura@yahoo.com.br.

ABSTRACT

Objective: To assess the role of social risk factors on adherence to tyrosine kinase inhibitors (TKI) therapy in chronic myeloid leukemia (CML) patients.

Methods: This is a retrospective study and eligible patients were adults with CML on TKI treatment. Cases of no adherence to treatment were confirmed during pharmacists' consultation (patient-reported adherence). Baseline characteristics between groups were compared between cases and controls groups. Risk factors identified in bivariate analysis (p<0.2) were included in multivariate model. A qualitative investigation assessed whether such predictors of non-adherence had causal relationship.

Results: Of 151 patients with CML consulted by pharmacists, 21% had adherence problems. Despite patients with secondary school (p=0.03), most of investigated social risk factors did not differ between groups. However, by using a qualitative approach, patients' level of education could not explain low adherence rates behavior.

Conclusions: Social determinants of health, herein investigated, were unlikely to predict adherence to treatment. Regression techniques may lead to untrue statements, so future researches should consider investigating the causes, not only the statistical estimates.

No MeSH data available.


Related in: MedlinePlus

Problems and Causes of No Adherence to TKI Therapy.
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Related In: Results  -  Collection

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Figure 1: Problems and Causes of No Adherence to TKI Therapy.

Mentions: Initially, we explored 34 clinical registries made by pharmacists. Considering risk factors determined by logistic regression, we identified 24 patients that had BMI>25 kg/m2, ten who had high school level of education and eight that had both risk factors (Figure 1).


Tyrosine kinase inhibitors in patients with chronic myelogeneous leukemia: defining the role of social risk factors and non-adherence to treatment.

Okumura LM, Antunes VD, Aguiar KS, Farias T, Andrzejevski VM, Funke VM - Pharm Pract (Granada) (2015)

Problems and Causes of No Adherence to TKI Therapy.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4482844&req=5

Figure 1: Problems and Causes of No Adherence to TKI Therapy.
Mentions: Initially, we explored 34 clinical registries made by pharmacists. Considering risk factors determined by logistic regression, we identified 24 patients that had BMI>25 kg/m2, ten who had high school level of education and eight that had both risk factors (Figure 1).

Bottom Line: Baseline characteristics between groups were compared between cases and controls groups.Despite patients with secondary school (p=0.03), most of investigated social risk factors did not differ between groups.Regression techniques may lead to untrue statements, so future researches should consider investigating the causes, not only the statistical estimates.

View Article: PubMed Central - PubMed

Affiliation: Pharmacy Department, Clinical Hospital, Federal University of ParanĂ¡ . Curitiba, PR ( Brazil ). lucasokumura@yahoo.com.br.

ABSTRACT

Objective: To assess the role of social risk factors on adherence to tyrosine kinase inhibitors (TKI) therapy in chronic myeloid leukemia (CML) patients.

Methods: This is a retrospective study and eligible patients were adults with CML on TKI treatment. Cases of no adherence to treatment were confirmed during pharmacists' consultation (patient-reported adherence). Baseline characteristics between groups were compared between cases and controls groups. Risk factors identified in bivariate analysis (p<0.2) were included in multivariate model. A qualitative investigation assessed whether such predictors of non-adherence had causal relationship.

Results: Of 151 patients with CML consulted by pharmacists, 21% had adherence problems. Despite patients with secondary school (p=0.03), most of investigated social risk factors did not differ between groups. However, by using a qualitative approach, patients' level of education could not explain low adherence rates behavior.

Conclusions: Social determinants of health, herein investigated, were unlikely to predict adherence to treatment. Regression techniques may lead to untrue statements, so future researches should consider investigating the causes, not only the statistical estimates.

No MeSH data available.


Related in: MedlinePlus