Medication Adherence In Bipolar Disorder Research Articles

Shared decision-making in the treatment of bipolar disorder: findings from a nationwide naturalistic cohort study in everyday clinical practice.

Shared decision-making (SDM) is of increasing importance in mental health care, however, large studies on the effects of SDM in bipolar disorder (BD) are scarce. To gain insight into the relationships between SDM, guideline concordance of treatments in everyday practice, satisfaction with care, and medication adherence in BD. In a nationwide observational study on the treatment of BD, patients were asked questions about their involvement in treatment. These questions were clustered according to the three-talk model (TTM) for SDM, which involves team talk, option talk, and decision talk. A composite concordance score for multimodal treatments was made, and satisfaction with care (score 1 to 10) and medication adherence (DAI-10) were measured. 839 patients with BD from various outpatient treatment centers were included. Patients were highly involved in decision-making. In multiple regression, team talk was significantly positively associated with guideline concordance (b = 5.10, p = .045), and decision talk was positively associated with satisfaction with care (b = 0.82, p < .001) and medication adherence (b = 1.18, p = .003). Positive associations were found between SDM, guideline concordance, satisfaction with care, and medication adherence, suggesting that investing in these steps of the decision-making process together with patients and their significant others, will help to improve quality of care.

7.1 Development of the Customized Adherence Enhancement Intervention for Adolescents and Young Adults to Improve Medication Adherence in Bipolar Disorder

7.1 Development of the Customized Adherence Enhancement Intervention for Adolescents and Young Adults to Improve Medication Adherence in Bipolar Disorder

Medication adherence in bipolar disorder: Exploring the role of predominant polarity.

Medication non-adherence is one important reason behind sub-optimal outcome from treatment of bipolar affective disorder (BPAD). Though various reasons behind medication non-adherence have been identified, little is known about the medication adherence patterns across various predominant polarities (PP) in BPAD. 100 euthymic patients of BPAD were purposively recruited and the PP were determined. Subsequently, Morisky Medication adherence scale (MMAS); Global Assessment of Functioning (GAF); Oslo Social Support Scale and World Health Organization Quality of Life scale- Brief version (WHOQOL-Bref) were administered. Analysis of covariance (ANCOVA) was done to estimate the difference of scores of MMAS after adjusting for any potential confounders. Overall, 44 patients with manic PP (MPP), 17 with depressive PP (DPP) and 39 with indeterminate PP (IPP) were recruited. It was found that patients who presented with DPP showed significantly higher medication adherence as compared to MPP. Knowledge of PP of a patient of BPAD can be useful in anticipating medication adherence and treatment outcome. The major limitations included non-probability sampling, cross-sectional design and limited generalizability of the results.

Mapping modifiable determinants of medication adherence in bipolar disorder (BD) to the theoretical domains framework (TDF): a systematic review.

Around 40% of people with bipolar disorder (BD) are non-adherent to medication leading to relapse, hospitalisation and increased suicide risk. Limited progress in addressing non-adherence may be partly attributable to insufficient understanding of the modifiable determinants of adherence that require targeting in interventions. We synthesised the modifiable determinants of adherence in BD and map them to the theoretical domains framework (TDF). We searched CINAHL, Cochrane Library, Embase, LILACS, Medline, PsychINFO and PubMed until February 2020. We included studies reporting modifiable determinants of adherence in BD. Two reviewers independently screened studies, assessed quality, extracted modifiable determinants and mapped them to TDF. We included 57 studies involving 32 894 participants. Determinants reported by patients spanned 11 of the 14 TDF domains compared to six domains represented by clinician/researcher. The TDF domains most commonly represented (% and example) in studies were: 'Environmental context and resources' (63%, e.g. experiencing side effects), 'Beliefs about consequences' (63%, e.g. beliefs about medication effects), 'Knowledge' (40%, e.g. knowledge about disorder), 'Social influences' (33%, e.g. support from family/clinicians), 'Memory, attention and decision processes' (33%, e.g. forgetfulness), 'Emotion' (21%, e.g. fear of addiction) and 'Intentions' (21%, e.g. wanting alternative treatment). 'Intentions', 'Memory, attention and decision processes' and 'Emotion' domains were only reported by patients but not clinicians. Clinicians may be underappreciating the full range of modifiable determinants of adherence and thus not providing adherence support reflective of patients' needs. Reporting of modifiable determinants in behavioural terms facilitates developing theory-based interventions to address non-adherence in BD.

Medication Adherence in Pediatric Patients with Bipolar Disorder: A Systematic Review.

Objectives: Pediatric bipolar disorder is a severe disabling condition affecting 1%-3% of youth worldwide. Both acute and maintenance treatment with medications are mainstays of treatment. It is well established in adult literature that adherence to medications improves outcomes and many adult studies have examined factors impacting adherence. This systematic review set out to identify the current state of research examining adherence to medications and characteristics influencing adherence in pediatric bipolar disorder. Methods: We performed a systematic literature review in the Medline, PsycINFO, CINAHL, EMBASE, Wiley Clinical Trials, and Cochrane databases. New research regarding characteristics and measurement of adherence to psychotropic medication for bipolar disorder (I, II, or not otherwise specified) in patients ≤18 years old were included for review. Exclusion criteria included no bipolar diagnosis, inclusion of patients >18 years old, no pharmacologic treatment, and lack of adherence measurements. Results: Initial search generated 439 articles after duplicate removal. One hundred thirty-three full-text articles were reviewed, 16 underwent additional review and 6 were selected for final inclusion. The majority of articles were excluded for patients >18 years old. Included articles were extremely heterogeneous for multiple measures, including methodology, determination of adherence, adherence rates, and characteristics influencing adherence. Of medications evaluated, 6/6 studies included mood stabilizers, 4/6 antidepressants, 3/6 antipsychotics, and 2/6 psychostimulants. Three out of six articles included patients <12 years old. Some significant factors affecting adherence included polypharmacy, comorbid psychiatric diagnoses, socioeconomic status, sex, family history and functioning, side effects, race, stability of bipolar diagnosis, and number of follow-up visits attended. Conclusions: Pediatric-specific information on medication adherence in bipolar disorder is very limited. Information on patient characteristics that may influence adherence rates is critical to target interventions to improve adherence. No articles reported on interventions to improve adherence. Given the different psychosocial situations of pediatric patients versus adults, it is likely that targets for improving adherence differ in pediatric patients.

Illness Insight and Medication Adherence Among Patients With Bipolar Disorder.

The aim of this study was to investigate the factors associated with illness insight and medication adherence in bipolar disorder (BD). This is a cross-sectional study (with a retrospective evaluation of longitudinal variables) and a secondary analysis of a BD database. The insight of 108 outpatients (age, 48.2 ± 14.1 years, 69% women, 33% euthymic) was measured with three items of the Association of Methodology and Documentation in Psychiatry scale. Their adherence was assessed through patients' and caregivers' reports, plus serum levels. We performed multivariate logistic regression analyses. Full insight was independently and directly associated with adherence, a social support score, and depressive symptoms and inversely associated with intensity of manic symptoms, problems ever with alcohol, and age at onset of the first symptoms. Medication adherence was independently and directly associated with insight, being married, and having had a psychiatric hospitalization and inversely with having suffered a high number of depressive episodes, intensity of manic symptoms, and heavy tobacco smoking.

Mapping Modifiable Determinants of Medication Adherence in Bipolar Disorder (BD) to the Theoretical Domains Framework (TDF): A Systematic Review

Background: Around 40% of patients with bipolar disorder (BD) are non-adherent to prescribed medication leading to relapse, hospitalisation and increased risk of suicide. Lack of progress in addressing medication non-adherence may be partly attributable to the limited understanding of the modifiable determinants of adherence that should be targeted by interventions. We aimed to synthesise the modifiable determinants of medication adherence in BD and map them to the Theoretical Domains Framework (TDF). Method: We searched CINAHL, Cochrane Library, Embase, LILACS, Medline, PsychINFO, PubMed in Feb 2020 using search terms Treatment Adherence and Compliance, “Bipolar Disorder” and Psychotropic Drugs. We included qualitative and quantitative primary studies reporting modifiable determinants of medication adherence in BD. Two reviewers independently screened retrieved studies, extracted modifiable determinants of adherence and coded them to the TDF. The study protocol was registered with PROSPERO [CRD42018096306] and published in the BMJ Open [ http://dx.doi.org/10.1136/bmjopen-2018-026980 ]. Findings: We included 57 studies involving 32894 participants. A majority of studies (n=50) explored modifiable determinants from the perspectives of patients but none included carers. Clinicians reported a narrow range of modifiable determinants, eight themes of determinants mapped to seven TDF domains, compared to 33 themes reported by patient studies covering 11 TDF domains. The TDF domains represented in the greatest number of studies were ‘Environmental context and resources’ (67% of studies) and ‘Beliefs about consequences’ (62%). Examples of the determinants mapped to these domains include the experience of side effects (49% of studies) and beliefs about positive/negative effects of medication (36%). Only patient studies reported the ‘Memory, attention and decision process’ and ‘Emotion’ domains. These domains included modifiable determinants such as forgetfulness (31% of studies) and fear of addiction (20%). Interpretation: The review highlights that clinicians may be underappreciating the full range of modifiable determinants and thus may not be providing the adherence support reflective of patients’ need. Since each TDF domain has been linked to behavior change techniques (BCTs) this study provides foundation for the development of an adherence tool for clinicians to provide tailored BCTs to support adherence. Funding Statement: Asta Ratna Prajapati is funded by Health Education England / National Institute for Health Research (NIHR), (Clinical Doctoral Research Fellowship) (NIHR reference number: ICA-CDRF-2017-03-054) for this research project. Declaration of Interests: None.

Mapping of modifiable barriers and facilitators of medication adherence in bipolar disorder to the Theoretical Domains Framework: a systematic review protocol

IntroductionPeople with bipolar disorder require long-term treatment but it is estimated that 40% of these people do not adhere to prescribed medication regimens. Non-adherence increases the risk of relapse, hospitalisation...

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

ObjectiveOur objective was to determine patterns and predictors of medication adherence in bipolar disorder.MethodsBetween 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.ResultsMajority 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.ConclusionNon-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.

Neuropsychological functioning, age, and medication adherence in bipolar disorder.

ObjectivesPoor adherence to medication is frequent in bipolar disorder (BD) and has been associated with several factors. To date, the relationship between low adherence and neuropsychological functioning in BD is still unclear. As age and neuropsychological functioning might have opposing influences on adherence, our aim was to investigate this link with a particular focus on the effect of age.MethodsIn a cross-sectional study, we included 353 patients divided into two age-groups (16–46; 47–71) from a French cohort diagnosed with BD (type I, II, NOS) and strictly euthymic. All patients had a standardized clinical and neuropsychological assessment and were categorized as high (n = 186) or low (n = 167) adherent based on their score from the Medication Adherence Rating Scale. Clinical information was collected based on a standardized interview and clinical validated scales. Neuropsychological performances were evaluated with an established standardized neuropsychological battery for bipolar disorder patients. After univariate analysis, neuropsychological and clinical predictors of low adherence were included in two age-specific stepwise multiple logistic regressions.ResultsA smaller number of hospitalizations (OR = 0.846, p = 0.012), a shorter illness duration (OR = 0.937, p = 0.003) and higher adverse effects (OR = 1.082, p<0.001) were associated with a greater risk of low adherence in the younger patients. In the older patients, low adherence was also predicted by a smaller number of hospitalizations (OR = 0.727, p = 0.008) and higher adverse effects (OR = 1.124, p = 0.005). Interestingly poor inhibition performance was also a significant predictor of low adherence in older patients (OR = 0.924, p = 0.030).ConclusionsWe found an age-specific relationship between cognitive functioning and adherence in patients with BD. Poor inhibition performances predicted low adherence in older patients only. Our results highlight the need to provide age-adapted therapeutic interventions to improve adherence in patients with BD.

Overcoming barriers to medication adherence in bipolar disorder: a review of the role of psychosocial and medication-related interventions

Although bipolar disorder (BD) can be managed successfully with medications such as antidepressants, atypical antipsychotics and mood stabilizers, up to 60% of BD patients do not take their medications as prescribed. Barriers to medication adherence can include patient-level and/or external factors. Once the barriers are identified, they can be targeted using psychosocial and medication-related interventions to improve medication adherence and treatment outcomes.

P.2.d.053 Causes of poor medication adherence in bipolar disorder: patients' perceptions and clinical realities

P.2.d.053 Causes of poor medication adherence in bipolar disorder: patients' perceptions and clinical realities

Effectiveness of interventions to improve medication adherence in bipolar disorder

To identify interventions that improve medication adherence in bipolar disorder. A review of the literature from 2004 to 2011 was conducted using Medline and manual searching. Eleven studies were identified as meeting inclusion criteria. Five studies demonstrated improved medication adherence. No characteristics of the interventions, clinical characteristics of the groups or methodological factors distinguished those psychosocial interventions that demonstrated improvement from those that did not. While only a few interventions improved adherence, most improved clinical outcomes. Issues were also identified about the way in which adherence is defined. It is proposed that incorporating patient preferences into measures of adherence within the context of a disorder-specific psychosocial intervention may provide an approach that demonstrates both improved adherence and improved clinical outcomes. However this requires further research.

Assessment of Medication Adherence in a Cohort of Patients with Bipolar Disorder

This study aimed to identify factors associated with medication adherence in bipolar disorder (BPD) patients. EMBLEM is a 2-year, prospective, observational study on the outcomes of BPD patients initiating or changing treatment for a manic/mixed episode. Data were collected at baseline, during the first 12 weeks of treatment (acute phase) and up to 24 months of follow-up (maintenance phase). Adherence was assessed by investigators at every visit. Repeated measures logistic regression analyses identified variables associated with adherence. Of 1,831 patients included in the analysis, 76.6% were adherent and 23.4% were non-adherent with their BPD medication during the maintenance phase. Patients were more likely to be adherent if they had insight into their illness at week 12. Patients were less likely to be adherent if they had cannabis abuse/dependence during the acute phase, work impairment or higher CGI hallucinations/delusions at baseline Psychotic symptoms, poor insight, cannabis abuse/dependence and work impairment are negatively related to medication adherence during maintenance therapy of bipolar disorder. Patients with these characteristics may need a different therapeutic approach.

Enhancing medication adherence in patients with bipolar disorder

Medication adherence contributes to the efficacy-effectiveness gap of treatment in patients with bipolar disorder. This paper aims to examine the challenges involved in improving medication adherence in bipolar disorder, and to extract some suggestions for future directions from the core psychosocial studies that have targeted adherence as a primary or secondary outcome. A search was conducted for articles that focused on medication adherence in bipolar disorder, with emphasis on publications from 1996 to 2008 using Medline, Web of Science, CINAHL PLUS, and PsychINFO. The following key words were used: adherence, compliance, alliance, adherence assessment, adherence measurement, risk factors, psychosocial interventions, and psycho-education. There are a number of challenges to understanding non-adherence including the difficulty in defining and measuring it and the various risk factors that need to be considered when aiming to enhance adherence. Nevertheless, the importance of addressing adherence is evidenced by the connection between adherence problems and poor outcome. Despite these challenges, a number of small psychosocial studies targeting adherence as a primary outcome point to the potential usefulness of psycho-education aimed at improving knowledge, attitudes, and adherence behavior, but more large scale randomized controlled trials are needed in this area. Evidence of improved outcomes from larger randomized controlled trials of psychosocial interventions that target medication adherence as a secondary outcome suggests that tackling other factors besides medication adherence may also be an advantage. While some of these larger studies demonstrate an improvement in medication adherence, the translation of these interventions into real life settings may not always be practical. A person centered approach that considers risk factors for non-adherence and barriers to other health behaviors may assist with the development of more targeted briefer interventions. Integral to improving medication adherence is the delivery of psycho-education, and attention needs to be paid to the implementation, and timing of psycho-education. Progress in the understanding of how medicines work may add to the credibility of psycho-education in the future. Enhancement of treatment adherence in bipolar patients is a necessary and promising management component as an adjunct to pharmacotherapy. The current literature on psychosocial interventions that target medication adherence in bipolar disorder points to the possibility of refining the concept of non-adherence and adapting psycho-education to the needs of certain subgroups of people with bipolar disorder. Large scale randomized controlled trials of briefer or more condensed interventions are needed that can inform clinical practice.

Psychosocial interventions and medication adherence in bipolar disorder

Recent research has indicated that psychosocial interventions can have a valuable role in reducing the substantial psychosocial disability associated with bipolar disorder. Randomized controlled trials of these interventions indicate that improvements are seen in symptoms, psychosocial functioning, and treatment adherence. These interventions, systematically presented in the form of standardized treatment manuals, vary in format, duration, and theoretical basis. All are meant to augment pharmacotherapy, which represents the standard of treatment in the field. Modalities that have gathered the most empirical support include cognitive-behavioral therapy, family-focused therapy, interpersonal and social rhythms therapy, and psychoeducation. The enhancement of adherence to pharmacotherapy is a common therapeutic target, due to the association of nonadherence with higher relapse rates, hospitalization, and health care costs among people with bipolar disorder. Given the complexity of nonadherence behavior, multicomponent interventions are often required. In this review, we provide an overview of the rationale, evidence base, and major psychotherapeutic approaches in bipolar disorder, focusing on the assessment and enhancement of medication adherence.

Coping and medication adherence in bipolar disorder

Background: Effective treatment of bipolar disorder depends on medication adherence, yet few correlates of adherence have been identified. The pleasure experienced during some manic episodes may render some individuals reluctant to adhere to medications that reduce these ‘highs’. Clinical observers identify denial of the severity or existence of illness as common to both bipolar disorder and addiction. The Alcoholics Anonymous model promotes acceptance as a pathway to abstinence adherence. This report hypothesized that acceptance coping would correlate positively and denial coping would correlate inversely with adherence to mood-stabilizing medication among individuals with bipolar disorder. Methods: Thirty-two participants diagnosed with bipolar I disorder were administered scales from the Brief COPE and an adherence self-report measure. Results: Consistent with hypotheses, curvilinear relationships between acceptance and denial with adherence were detected, suggesting that low levels of acceptance and high levels of denial undermine medication adherence. Limitations: Given the cross-sectional, naturalistic design of the study, no causal inferences can be made. Conclusions: The results uncover links between coping styles and adherence in a psychiatric population. The link between acceptance–denial coping, and mature, self-supportive behavior may point the way towards more effective psychosocial interventions.