Open AccessPredictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia
Author(s) -
Samantha Clark,
Zachary A. Marcum,
Jerald P. Radich,
Aasthaa Bansal
Publication year - 2020
Publication title -
journal of oncology pharmacy practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.548
H-Index - 34
eISSN - 1477-092X
pISSN - 1078-1552
DOI - 10.1177/1078155220970616
Subject(s) - medicine , myeloid leukemia , multinomial logistic regression , concomitant , logistic regression , tyrosine kinase inhibitor , population , oncology , demography , cancer , environmental health , machine learning , sociology , computer science
Although consistent use of tyrosine kinase inhibitors (TKIs) confers significant improvements in long-term survival for individuals with chronic myeloid leukemia (CML), only 70% of CML patients are adherent to TKIs. Understanding the factors that contribute to non-adherence and establishing dynamic adherence patterns in this population are essential aspects of targeted drug monitoring and intervention strategies.