Unknown

Dataset Information

0

Trajectories of adherence to mood stabilizers in patients with bipolar disorder.


ABSTRACT: BACKGROUND:Nonadherence with mood stabilizers is a major problem that negatively impacts the course of bipolar disorder. Medication adherence is a complex individual behavior, and adherence rates often change over time. This study asked if distinct classes of adherence trajectories with mood stabilizers over time could be found, and if so, which patient characteristics were associated with the classes. METHODS:This analysis was based on 12 weeks of daily self-reported data from 273 patients with bipolar 1 or II disorder using ChronoRecord computer software. All patients were taking at least one mood stabilizer. The latent class mixed model was used to detect trajectories of adherence based on 12 weekly calculated adherence datapoints per patient. RESULTS:Two distinct trajectory classes were found: an adherent class (210 patients; 77%) and a less adherent class (63 patients; 23%). The characteristics associated with the less adherent class were: more time not euthymic (p?

SUBMITTER: Bauer M 

PROVIDER: S-EPMC6722168 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Trajectories of adherence to mood stabilizers in patients with bipolar disorder.

Bauer M M   Glenn T T   Alda M M   Bauer R R   Grof P P   Marsh W W   Monteith S S   Munoz R R   Rasgon N N   Sagduyu K K   Whybrow P C PC  

International journal of bipolar disorders 20190904 1


<h4>Background</h4>Nonadherence with mood stabilizers is a major problem that negatively impacts the course of bipolar disorder. Medication adherence is a complex individual behavior, and adherence rates often change over time. This study asked if distinct classes of adherence trajectories with mood stabilizers over time could be found, and if so, which patient characteristics were associated with the classes.<h4>Methods</h4>This analysis was based on 12 weeks of daily self-reported data from 27  ...[more]

Similar Datasets

| S-EPMC2958627 | biostudies-literature
| S-EPMC7198548 | biostudies-literature
| S-EPMC6881540 | biostudies-literature
| S-EPMC4063504 | biostudies-other
| S-EPMC7229798 | biostudies-literature
| S-EPMC3658129 | biostudies-literature
| S-EPMC11362685 | biostudies-literature
| S-EPMC4452636 | biostudies-literature
| S-EPMC8550938 | biostudies-literature
| S-EPMC3565814 | biostudies-literature