Literature DB >> 28325698

Factors associated with antidiabetic medication non-adherence in patients with incident comorbid depression.

Carlotta Lunghi1, Arsène Zongo1, Jocelyne Moisan1, Jean-Pierre Grégoire1, Line Guénette2.   

Abstract

AIM: To identify factors associated with antidiabetic drug (AD) non-adherence among patients with type 2 diabetes and depression. STUDY DESIGN AND SETTINGS: We conducted a population-based retrospective cohort study among new AD users with a diagnosis of depression following AD initiation. We used public health insurance data from Quebec. The dependent variable was non-adherence (i.e., <90% of days covered by ≥1AD) in the year after a depression diagnosis. Different sociodemographic, clinical and medication-related variables were assessed as potential factors of non-adherence to AD treatment. We performed univariate and multivariate logistic regressions.
RESULTS: We identified 3106 new users of ADs with a diagnosis of depression between 2000 and 2006. Of these individuals, 52% were considered non-adherent to their ADs. Baseline non-adherence, younger age, the addition of another AD to the initial treatment, <4 drug claims, visits with several different physicians, high socioeconomic status, and a small number of diabetes complications were associated with AD non-adherence.
CONCLUSIONS: The factors identified in the present study may help clinicians recognize patients with type 2 diabetes and incident depression at increased risk for non-adherence. In these patients, close follow-up and targeted interventions could help improve adherence to AD treatment, improve glycemic control and reduce complications.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Associated factors; Depression; Determinants; Healthcare administrative claims; Medication adherence; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2017        PMID: 28325698     DOI: 10.1016/j.jdiacomp.2017.02.016

Source DB:  PubMed          Journal:  J Diabetes Complications        ISSN: 1056-8727            Impact factor:   2.852


  9 in total

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