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Trajectories of adherence to mood stabilizers in patients with bipolar disorder
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 stabil...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722168/ https://www.ncbi.nlm.nih.gov/pubmed/31482209 http://dx.doi.org/10.1186/s40345-019-0154-z |
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author | Bauer, M. Glenn, T. Alda, M. Bauer, R. Grof, P. Marsh, W. Monteith, S. Munoz, R. Rasgon, N. Sagduyu, K. Whybrow, P. C. |
author_facet | Bauer, M. Glenn, T. Alda, M. Bauer, R. Grof, P. Marsh, W. Monteith, S. Munoz, R. Rasgon, N. Sagduyu, K. Whybrow, P. C. |
author_sort | Bauer, M. |
collection | PubMed |
description | 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 < 0.001) and female gender (p = 0.016). No other demographic associations were found. CONCLUSION: In a sample of motivated patients who complete daily mood charting, about one quarter were in the less adherent class. Even patients who actively participate in their care, such as by daily mood charting, may be nonadherent. Demographic characteristics may not be useful in assessing individual adherence. Future research on longitudinal adherence patterns in bipolar disorder is needed. |
format | Online Article Text |
id | pubmed-6722168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-67221682019-09-17 Trajectories of adherence to mood stabilizers in patients with bipolar disorder Bauer, M. Glenn, T. Alda, M. Bauer, R. Grof, P. Marsh, W. Monteith, S. Munoz, R. Rasgon, N. Sagduyu, K. Whybrow, P. C. Int J Bipolar Disord Research 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 < 0.001) and female gender (p = 0.016). No other demographic associations were found. CONCLUSION: In a sample of motivated patients who complete daily mood charting, about one quarter were in the less adherent class. Even patients who actively participate in their care, such as by daily mood charting, may be nonadherent. Demographic characteristics may not be useful in assessing individual adherence. Future research on longitudinal adherence patterns in bipolar disorder is needed. Springer Berlin Heidelberg 2019-09-04 /pmc/articles/PMC6722168/ /pubmed/31482209 http://dx.doi.org/10.1186/s40345-019-0154-z Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Bauer, M. Glenn, T. Alda, M. Bauer, R. Grof, P. Marsh, W. Monteith, S. Munoz, R. Rasgon, N. Sagduyu, K. Whybrow, P. C. Trajectories of adherence to mood stabilizers in patients with bipolar disorder |
title | Trajectories of adherence to mood stabilizers in patients with bipolar disorder |
title_full | Trajectories of adherence to mood stabilizers in patients with bipolar disorder |
title_fullStr | Trajectories of adherence to mood stabilizers in patients with bipolar disorder |
title_full_unstemmed | Trajectories of adherence to mood stabilizers in patients with bipolar disorder |
title_short | Trajectories of adherence to mood stabilizers in patients with bipolar disorder |
title_sort | trajectories of adherence to mood stabilizers in patients with bipolar disorder |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722168/ https://www.ncbi.nlm.nih.gov/pubmed/31482209 http://dx.doi.org/10.1186/s40345-019-0154-z |
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