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A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India

OBJECTIVE: Our objective was to determine patterns and predictors of medication adherence in bipolar disorder. METHODS: Between August 2015 and December 2016, we recruited 160 patients with a diagnosis of bipolar disorder as per International Classification of Diseases-10: Clinical Descriptions and...

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Autores principales: Selvakumar, Nivedhitha, Menon, Vikas, Kattimani, Shivanand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean College of Neuropsychopharmacology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953016/
https://www.ncbi.nlm.nih.gov/pubmed/29739130
http://dx.doi.org/10.9758/cpn.2018.16.2.168
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author Selvakumar, Nivedhitha
Menon, Vikas
Kattimani, Shivanand
author_facet Selvakumar, Nivedhitha
Menon, Vikas
Kattimani, Shivanand
author_sort Selvakumar, Nivedhitha
collection PubMed
description OBJECTIVE: Our objective was to determine patterns and predictors of medication adherence in bipolar disorder. METHODS: Between August 2015 and December 2016, we recruited 160 patients with a diagnosis of bipolar disorder as per International Classification of Diseases-10: Clinical Descriptions and Diagnostic Guidelines. The diagnosis was further confirmed by using the MINI International Neuropsychiatric Inventory. All of them were currently in remission (confirmed by standard measures) and on stable dosing of medication for at least a year. Medication adherence was assessed using Tamil validated version of Morisky Medication Adherence Scale. Patients were dichotomized into low adherence (<6) and high adherence (≥6) groups and compared on various socio-demographic and clinical variables. RESULTS: Majority of the sample (n=97, 60.6%) demonstrated low adherence to treatment regimen. Being employed and having spent greater number of days in hospital were predictive of higher medication adherence (odds ratio [OR] 2.78, 95% confidence interval [CI] 1.019–7.585; and OR 1.02, 95% CI 1.003–1.037, respectively). Fewer number of lifetime depressive episodes and positive drug attitudes demonstrated trend level positive association with high medication adherence. CONCLUSION: Non-adherence to prescribed medications is a common problem in bipolar disorder. Interventions targeting vocation, medication focused psychoeducation and promotion of positive drug attitudes are likely to enhance medication adherence in this group.
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spelling pubmed-59530162018-05-18 A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India Selvakumar, Nivedhitha Menon, Vikas Kattimani, Shivanand Clin Psychopharmacol Neurosci Original Article OBJECTIVE: Our objective was to determine patterns and predictors of medication adherence in bipolar disorder. METHODS: Between August 2015 and December 2016, we recruited 160 patients with a diagnosis of bipolar disorder as per International Classification of Diseases-10: Clinical Descriptions and Diagnostic Guidelines. The diagnosis was further confirmed by using the MINI International Neuropsychiatric Inventory. All of them were currently in remission (confirmed by standard measures) and on stable dosing of medication for at least a year. Medication adherence was assessed using Tamil validated version of Morisky Medication Adherence Scale. Patients were dichotomized into low adherence (<6) and high adherence (≥6) groups and compared on various socio-demographic and clinical variables. RESULTS: Majority of the sample (n=97, 60.6%) demonstrated low adherence to treatment regimen. Being employed and having spent greater number of days in hospital were predictive of higher medication adherence (odds ratio [OR] 2.78, 95% confidence interval [CI] 1.019–7.585; and OR 1.02, 95% CI 1.003–1.037, respectively). Fewer number of lifetime depressive episodes and positive drug attitudes demonstrated trend level positive association with high medication adherence. CONCLUSION: Non-adherence to prescribed medications is a common problem in bipolar disorder. Interventions targeting vocation, medication focused psychoeducation and promotion of positive drug attitudes are likely to enhance medication adherence in this group. Korean College of Neuropsychopharmacology 2018-05 2018-05-31 /pmc/articles/PMC5953016/ /pubmed/29739130 http://dx.doi.org/10.9758/cpn.2018.16.2.168 Text en Copyright © 2018, Korean College of Neuropsychopharmacology This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Selvakumar, Nivedhitha
Menon, Vikas
Kattimani, Shivanand
A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India
title A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India
title_full A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India
title_fullStr A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India
title_full_unstemmed A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India
title_short A Cross-sectional Analysis of Patterns and Predictors of Medication Adherence in Bipolar Disorder: Single Center Experience from South India
title_sort cross-sectional analysis of patterns and predictors of medication adherence in bipolar disorder: single center experience from south india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953016/
https://www.ncbi.nlm.nih.gov/pubmed/29739130
http://dx.doi.org/10.9758/cpn.2018.16.2.168
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