Xiaoning Qian, Edward R Dougherty
Validation of gene regulatory network inference based on controllability
Frontiers in genetics
patients level medication adherence provides conflicting results relationship patient activation multiple factors may contributing mixed results primary purpose assess association patient activation medication adherence adults chronic health conditions low health literacy hl secondary objectives determine whether age education gender race associated activation participants completed selfreport questionnaires regarding chronic disease selfmanagement patient activation measured using hibbards patient activation measure pam selfreport medication adherence determined using gonzalezlu adherence questionnaire block regressions first assessed relation demographic variables education adherence added relation patient activation second model analyses included 301 participants mean age 58 years 53 female mean chronic conditions 66 common chronic conditions included hypertension 60 arthritis 51 depression 49 hyperlipidemia 43 relation older age greater medication adherence significant p 005 models addition pam significantly related better adherence p 0001 also increased r squared value 004 009 change resulted moderate effect size 050 evaluating patient activation baseline may predict likely medication adherent patients low hl