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      Nonadherence in bipolar disorder patients: A 14-year retrospective study

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          Abstract

          Background:

          Bipolar disorder is a disabling psychiatric disorder. The existing literature suggests about 41% of patients to be nonadherent. Nonadherence leads to relapses, delay in recovery besides higher inpatient care cost as well as higher global cost of the disease. Nonadherence in bipolar affective disorder (BPAD) is a complex phenomenon, its critical determinants are yet to be identified with certainty.

          Aims:

          This study aims to assess the prevalence of nonadherence in BPAD and to delineate the factors associated with it.

          Methods:

          Medical records were reviewed in this study from 2005 to 2019 at a medical college in Kerala. Patients who were diagnosed with BPAD according to International Classification of Diseases 10 and who were needing or opting for prophylaxis were included. Patients who were not taking medications for at least 1 week were termed as nonadherent. We included 150 participants in our study.

          Results:

          To test the statistical significance of the association of categorical variables between H/O of adherence and nonadherence, Chi-square test was used. In the sample, 82.7% had at least 1 week of history of noncompliance in the past. The most common reason was poor understanding of illness by the family (56%) followed by a negative aspect of the patient toward the drug (20%).

          Conclusion:

          Therefore, this study concludes that though majority of the patients have a history of nonadherence of at least 1 week on long-term follow-up, it was seen that majority of the patients were more than 80% adherent to medications.

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          Most cited references21

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          Systematic review of randomised trials of interventions to assist patients to follow prescriptions for medications.

          Low adherence of patients to prescribed, self-administered medical interventions is ubiquitous. Low adherence limits the benefits of current medical care. Efforts to assist patients to follow treatments might improve the efficiency of care and substantially enhance benefits. Our objective was to summarise the results of randomised controlled trials (RCTs) of interventions to help patients follow prescriptions for medications. A previous systematic review was updated through computerised searches in Medline, International Pharmaceutical Abstracts, Psychinfo, and HSTAR online databases; bibliographies in articles on patient adherence; articles in the reviewers' personal collections; and contact with authors. Articles were judged of interest if they reported original data concerning an unconfounded RCT of an intervention to improve adherence with prescribed medications, with one or more measure of medication adherence, one or more measure of treatment outcome, at least 80% follow-up of each group studied, and, for long-term treatments, at least 6 months of follow-up for studies with positive initial findings. Information on study design features, interventions and controls, and findings were extracted by one reviewer (RK) and checked by the other two reviewers. 1,553 relevant citations and abstracts were screened, 252 full text articles were reviewed in detail, and 13 RCTs met all criteria. The studies were too disparate in clinical problems, adherence interventions, measures and reporting of adherence, and the clinical outcomes studied to warrant meta-analysis. Seven of 15 interventions were associated with improvements in adherence and six interventions led to improvements in treatment outcomes. For short-term treatments, one study showed an effect on adherence and outcome of counselling and written information. The interventions that were effective for long-term care were complex, including various combinations of more convenient care, information, counselling, reminders, self-monitoring, reinforcement, family therapy, and other forms of additional supervision or attention. Even the most effective interventions did not lead to substantial improvements in adherence. Although adherence and treatment outcomes can be improved by certain-usually complex-interventions, full benefits of medications cannot be realised at currently achievable levels of adherence. It is time that additional efforts be directed towards developing and testing innovative approaches to assist patients to follow treatment prescriptions.
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            Nonadherence with mood stabilizers: prevalence and predictors.

            The prevalence of nonadherence with mood stabilizers ranges from about 18% to 52%. Only 1% of publications on mood stabilizers address this issue. This study aimed to explore the prevalence and predictors of nonadherence in a cohort of individuals with affective disorders receiving long-term treatment with mood stabilizers. Subjects receiving lithium, carbamazepine, and/or valproate were identified from biochemistry laboratory data. Ninety-eight of these subjects had major depressive disorder (N = 20) or bipolar disorder (N = 78) (DSM-IV) and gave informed consent to participate in a structured clinical interview to assess their medication adherence and the factors that influenced it. Just under 50% of subjects (46/98) acknowledged some degree of medication nonadherence in the previous 2 years, and 32% (29/92) reported only partial adherence in the last month (missing 30% or more of their prescribed medication). Backward stepwise logistic regression demonstrated that partially adherent subjects were best distinguished from adherent subjects by a more frequent past history of nonadherence, denial of severity of illness, and greater duration of being prescribed a mood stabilizer. Rates of mood stabilizer nonadherence are high. Attitudes and behaviors are better predictors of nonadherence than side effects from medication. Clinicians need to inquire routinely about problems with adherence.
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              Bipolar disorder: new perspectives in health care and prevention.

              High rates of misdiagnosis, delayed diagnosis, and lack of recognition and treatment of comorbid conditions often lead patients with bipolar illness to have a chronic course with high disability, unemployment rates, and mortality. Despite the recognition that long-term outcome of bipolar disorder depends on systematic assessment of both interepisodic dysfunctional domains and comorbid psychiatric and medical conditions, treatment of bipolar disorder still focuses primarily on alleviation of acute symptoms and prevention of future recurrences. We propose here to review the evidence offering a modern view of bipolar disorder defined as a chronic and progressive multisystem disorder, taking into account characteristics of each patient as well as biosignatures in order to help design personalized treatments. We conducted a systematic PubMed search of all English-language articles, published between 2000 and 2010, focusing on the English and French literature with bipolar disorder cross-referenced with the following search terms: emotional dysregulation, sleep and circadian rhythm disturbances, cognitive impairment, age at onset, comorbid medical and psychiatric conditions, psychosocial and medical interventions, outcome, remission, and personalized medicine. The search was conducted between July 2009 and July 2010. The literature on bipolar disorder was reviewed to provide supporting evidence that the assessment of various symptom domains that are dysfunctional between episodes should all be considered as core dimensions of the disorder. Forty-one articles were identified through the PubMed search described above and selected on the basis of addressing any combination of the search terms in conjunction with bipolar disorder. Current guidelines advocate the use of more or less similar treatment algorithms for all patients, ignoring the clinical, pathophysiological, and lifetime heterogeneity of bipolar disorder. Systematic assessment of interepisodic dimensions, along with comorbid medical and psychiatric risk factors, should be performed along the life cycle in order to plan specific and personalized pharmacologic, medical, and psychosocial interventions tailored to the needs of each patient and ready-to-test biosignatures to serve as risk factors or diagnostic or prognostic tools. Medical and research findings, along with health economic data, support a more modern view of bipolar disorder as a chronic, progressive, multisystem disorder. This new comprehensive framework should guide the search to identify biomarkers and etiologic factors and should help design a new policy for health care, including prevention, diagnosis, treatment, and training. © Copyright 2010 Physicians Postgraduate Press, Inc.
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                Author and article information

                Journal
                Indian J Psychiatry
                Indian J Psychiatry
                IJPsy
                Indian Journal of Psychiatry
                Wolters Kluwer - Medknow (India )
                0019-5545
                1998-3794
                May-Jun 2020
                15 May 2020
                : 62
                : 3
                : 290-294
                Affiliations
                [1]Department of Psychiatry, Amrita Institute of Medical Sciences, Kochi, Kerala, India
                Author notes
                Address for correspondence: Dr. Arya Jith, Department of Psychiatry, Amrita Institute of Medical Sciences, Kochi, Kerala, India. E-mail: aryaji2008@ 123456gmail.com
                Article
                IJPsy-62-290
                10.4103/psychiatry.IndianJPsychiatry_357_19
                7368454
                32773872
                f1c1ac48-f3a0-4dab-8c3a-7d92c70c5ff4
                Copyright: © 2020 Indian Journal of Psychiatry

                This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

                History
                : 13 June 2019
                : 03 October 2019
                : 02 January 2020
                Categories
                Original Article

                Clinical Psychology & Psychiatry
                bipolar disorders,nonadherence,prevalence
                Clinical Psychology & Psychiatry
                bipolar disorders, nonadherence, prevalence

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