Trajectories of medication adherence in patients with Bipolar Disorder along 2 years-follow-up.
Bipolar Disorders
Depression
Follow-up studies
Medication adherence
Journal
Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073
Informations de publication
Date de publication:
01 03 2021
01 03 2021
Historique:
received:
22
10
2020
revised:
23
12
2020
accepted:
26
12
2020
entrez:
19
2
2021
pubmed:
20
2
2021
medline:
27
4
2021
Statut:
ppublish
Résumé
Bipolar disorder (BD) is a chronic and severe mental illness. It requires a non-discontinued pharmacological treatment to prevent mood recurrences but nonadherence to medication is frequent. To this date, medication adherence in BD has been mostly evaluated in cross-sectional studies and often considered as a stable trait. We aimed to study medication adherence using a prospective person-oriented approach. 1627 BD patients were followed on a 2 years period and assessed every 6 months. Medication adherence was evaluated at each visit with the Medication Adherence Rating Scale (MARS). A latent class mixed model (LCMM) was used to identify trajectory classes of adherence over time. Regression analyses and linear mixed model were used to search for predictors and covariables of the trajectories. Three distinct and robust trajectories of medication adherence have been identified: one that starts poorly and keeps deteriorating (4.8%), one that starts poorly but improves (9%) and one that starts well and keeps improving (86.2%). A good tolerance to psychotropic medications, low depressive symptoms, the absence of comorbid eating disorders and anticonvulsant medication were associated to a better prognosis of adherence. Along the follow-up, the lower were the depressive symptoms, the better was the medication adherence (p < .001) LIMITATIONS: The use of a single measure of medication adherence although it is a validated instrument and a possible positive selection bias that might limit the generalization of our findings. This study demonstrates that medication adherence in BD patients is a heterogeneous and potentially variable phenomenon.
Sections du résumé
BACKGROUND
Bipolar disorder (BD) is a chronic and severe mental illness. It requires a non-discontinued pharmacological treatment to prevent mood recurrences but nonadherence to medication is frequent. To this date, medication adherence in BD has been mostly evaluated in cross-sectional studies and often considered as a stable trait. We aimed to study medication adherence using a prospective person-oriented approach.
METHODS
1627 BD patients were followed on a 2 years period and assessed every 6 months. Medication adherence was evaluated at each visit with the Medication Adherence Rating Scale (MARS). A latent class mixed model (LCMM) was used to identify trajectory classes of adherence over time. Regression analyses and linear mixed model were used to search for predictors and covariables of the trajectories.
RESULTS
Three distinct and robust trajectories of medication adherence have been identified: one that starts poorly and keeps deteriorating (4.8%), one that starts poorly but improves (9%) and one that starts well and keeps improving (86.2%). A good tolerance to psychotropic medications, low depressive symptoms, the absence of comorbid eating disorders and anticonvulsant medication were associated to a better prognosis of adherence. Along the follow-up, the lower were the depressive symptoms, the better was the medication adherence (p < .001) LIMITATIONS: The use of a single measure of medication adherence although it is a validated instrument and a possible positive selection bias that might limit the generalization of our findings.
CONCLUSIONS
This study demonstrates that medication adherence in BD patients is a heterogeneous and potentially variable phenomenon.
Identifiants
pubmed: 33601722
pii: S0165-0327(20)33282-1
doi: 10.1016/j.jad.2020.12.192
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
812-819Informations de copyright
Copyright © 2021 Elsevier B.V. All rights reserved.