Medication nonadherence and its associated factors in psychiatric patients in India: A systematic review and meta-analysis

Medication nonadherence (MNA) poses a significant challenge in the management of major psychiatric disorders. The present study was undertaken to determine the prevalence of MNA among patients with psychiatric disorders in India and to identify the factors associated with MNA. The following databases were searched systematically: PubMed, Directory of Open Access Journals, and Google scholar. Articles originating from India published in peer reviewed English language journals before May 15, 2021 reporting the prevalence of MNA and associated factors among patients with psychiatric disorders were retrieved and the relevant data were abstracted. The pooled prevalence of MNA was calculated using the inverse variance method. Factors associated with MNA were synthesized and described. A total of 42 studies (pooled N = 6,268) were included in the systematic review. Among these, 32 studies (pooled N = 4,964) reported the prevalence of MNA and hence were eligible for meta analysis. The pooled prevalence of MNA was 0.44 (95% confidence interval [CI] 0.37-0.52). The pooled prevalence of MNA for psychotic disorders, bipolar disorders, and depressive disorders were 0.37 (95% CI, 0.28-0.46), 0.47 (95% CI, 0.23-0.72), and 0.70 (95% CI 0.60-0.78), respectively. Negative attitude toward medications, polypharmacy, greater severity of illness, lack of insight, and cost of medications were associated with MNA. Quality appraisal of the included studies revealed that most studies did not categorize and address nonresponders and did not provide any information on nonresponders. To conclude, about half of the patients with psychiatric disorders in India are nonadherent to their psychotropic medications. Evidence based interventions to improve medication adherence in these patients need to be developed and implemented proactively keeping in mind the factors associated with MNA.

Impact of nurse-led medication adherence therapy on bipolar affective disorder: A randomized controlled trial

PURPOSE

This study evaluated the impact of nurse-led medication adherence therapy (MAT) on medication adherence behavior and symptom severity of inpatients with bipolar disorder.

METHOD

Two arms, single-blind, randomized controlled trial on individuals with bipolar disorder was conducted at inpatient department of mental healthcare setting, India. Eighty-five participants were randomly allocated to MAT group and Treatment as usual group. Standard measures were used to assess medication adherence and symptom severity of both groups at baseline and follow-up time points.

CONCLUSION

MAT improved medication adherence behavior resulting in marked decrease in symptom severity of participants with bipolar disorders.

IMPLICATIONS FOR NURSING PRACTICE

Psychiatric nurses can effectively implement MAT for bipolar inpatients, which improves better clinical outcomes, prevent relapse, and readmissions.

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

BACKGROUND

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).

METHOD

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.

RESULTS

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.

CONCLUSIONS

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.

Treatment Attitudes and Adherence Among Patients with Bipolar Disorder: A Systematic Review of Quantitative and Qualitative Studies

BACKGROUND

Systematic reviews about treatment attitudes of patients influencing adherence in bipolar disorder (BD) are rare.

METHODS

A systematic review was conducted according to the PRISMA guidelines and principles of thematic synthesis. Selectively identified quantitative and qualitative studies were used to examine the attitude-adherence relationship in BD, the types and correlates of treatment attitudes, and the impact of psychosocial interventions on attitudes.

RESULTS

The final list of 163 articles included 114 observational reports (incorporating 21 psychosocial intervention trials), 45 qualitative/descriptive studies, and 4 patient surveys. A positive association between treatment attitudes and adherence was found in most quantitative and qualitative studies, though the strength of the relationship was unclear. Thematic analysis of qualitative studies suggested that patient attitudes influencing adherence were based on perceived advantages and disadvantages of treatment. The principal correlates of patients' attitudes were family attitudes, the clinician-patient alliance, social support, and patients' knowledge of BD. Though negative attitudes such as denial, concerns about adverse treatment consequences, and stigmatizing effects of treatment were common, many patients believed treatment to be beneficial and necessary. The limited data on the effect of psychosocial interventions indicated that treatments selectively targeting attitudes enhanced adherence.

LIMITATIONS

The studies were heterogeneous in design; the quality was uneven (fair to poor); and the risk of bias moderate to high.

CONCLUSIONS

Despite these flaws, awareness of the existing evidence on the attitude-adherence association and other aspects of treatment attitudes in BD can help in efforts to address nonadherence in BD.

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

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.

Self-reported medication adherence and its correlates in a lithium-maintained cohort with bipolar disorder at a tertiary care centre in India

BACKGROUND

Lithium remains a cornerstone of prophylaxis in bipolar disorder (BD), but adherence continues to be a major clinical challenge and merits a closer attention. There is scant literature available in Indian as well as Asian context.

METHODS

This study was conducted at Department of Psychiatry, AIIMS, New Delhi with an aim to assess the self-reported medication adherence and its correlates among a naturalistic, lithium-maintained cohort (n = 76) with bipolar disorder. Subjects were included if they were on lithium therapy ≥1 year, met DSM-5 diagnosis of bipolar disorder and were in clinical remission (≥1 month). Besides sociodemographic and clinical performa, participants were assessed on medication adherence rating scale (MARS), lithium questionnaire for knowledge and lithium attitude questionnaire (LAQ).

RESULTS

Mean age was 35.7 ± 10.6 years (males: 59.2%); median duration of illness and lithium therapy was 84 months and 24.5 months, respectively. Mean MARS score was 6.95 ± 2.81. Regression analysis (with MARS total as dependent variable) found LAQ score to be the single most significant predictor variable (β=-0.681, p < 0.0001), explaining over 75% of the total variance. In regression model with MARS factor-1 score as dependent variable, the 'LAQ score' (β=-0.601, p < 0.0001) and 'being accompanied by family during psychiatric visits (always/mostly) in the past year' (β = 0.193, p = 0.010) emerged as significant predictor variables.

CONCLUSION

Adherence in lithium-maintained treatment-seeking cohort of patients with BD remains far from ideal as observed in this naturalistic setting. Lithium-related attitudes and being accompanied by family during psychiatric visits were found to be significant predictors for adherence.

Regimen Difficulty and Medication Non-Adherence and the Interaction Effects of Gender and Age

Medication non-adherence is a global health issue. Numerous factors predict it. This study is aimed to identify the association between regimen difficulty and medication non-adherence among patients with chronic conditions and testing the interaction effects of gender and age on the same. It was a cross-sectional study conducted among 479 outpatients from India. Convenience sampling method was used. Multiple regression analyses were performed to find the predictors of non-adherence and to test interaction effects. Regimen difficulty predicted medication non-adherence. The patient's gender and age have interaction effects on the relationship between regimen difficulty and medication non-adherence.

Patient non-adherence: an interpretative phenomenological analysis

Purpose While interpretative phenomenological analysis (IPA) has been used in health psychology research, it has so far not been applied to seek deeper insights into the patients' experiences about treatment. The purpose of this paper is to address this gap by using IPA to understand patient non-adherence. Design/methodology/approach In total, 18 patients with chronic conditions seeking healthcare services in Goa and Karnataka, India, were selected by using the snowball sampling method. In-depth interviews were conducted face to face. A semi-structured questionnaire developed by the researchers was used to collect the data. IPA was used to explore the themes to predict patient non-adherence. Findings The study results indicate that economic factors, health system related factors, social factors and psychological factors impact patient non-adherence. Patient non-adherence includes medication non-adherence and lifestyle modification non-adherence. Research limitations/implications Being cross sectional in design, the results may not be as appropriate as the results derived from a longitudinal study given that non-adherence occurs over time. Practical implications Patient non-adherence is a global health issue. Multidisciplinary approach to enhance patient adherence to treatment should form part of public healthcare policy. Social implications Exploring the factors influencing patient non-adherence will help the health-care industry stakeholders to reduce healthcare cost and improve patient's quality of life. Originality/value Although there is extensive quantitative research on the prevalence of non-adherence, qualitative research is limited. This paper addresses this gap by using IPA to understand patient non-adherence and its factors and dimensions.

Does Unstable Employment Have an Association with Suicide Rates among the Young?

Although a growing body of literature has indicated that unemployment has a positive association with suicide, the dynamic aspects of unstable employment have not yet been considered in suicidology. This study explored the association between employment stability and completed suicide among people aged 25–34 years in 20 OECD (Organization for Economic Cooperation and Development) countries with time-series data (1994–2010). In order to consider the different aspects of unstable employment, we tested the impacts of employment protection legislation indicators as another proxy of job insecurity (employed, but unstable) apart from unemployment rates. Covariates, including economic growth rates, GDP per capita, fertility rates, and divorce rate, were controlled for. The analysis was designed to be gender- and age-specific, where observations with ages of 25–29 were separated from those with ages of 30–34. Random effect models were applied to examine changes over time in suicide rates, and other models were presented to check robustness. The results showed that it is a low level of employment protection, rather than unemployment itself, that was associated with increased suicide rates among all of the studied populations. The magnitude of the effect differed by gender.

Mood disorders medications: predictors of nonadherence - review of the current literature

Studies have shown that there are several factors that predict nonadherence among patients with mood disorders. The aim of the present review is to identify the predictors of nonadherence among these patients. A careful review of the literature was conducted investigating several potential predictors of nonadherence among patients with mood disorders. A total of 217 relevant articles from peer-reviewed journals were considered, and articles that met our inclusion criteria (n = 54) were selected for this review. The authors identified several predictors of nonadherence among patients with mood disorders including younger age (below 40 years old), comorbidity with substance use and personality disorders, patients' beliefs, poor insight, illness severity, treatment-related side effects, specific features of the disease and a poor therapeutic alliance. Substance use disorder and illness severity are significant predictors of nonadherence especially in patients with bipolar disorder; whereas, treatment side effects are of primary importance for depressive disorder. The authors could not carry out a meta-analysis given that the studies considered in this review assessed patients at different time points and included different measurements of nonadherence. Moreover, articles cited in this review may reflect the authors' choice, and the authors did not investigate the adherence to a specific class of drugs commonly used in the management of mood disorders. Given the high social, clinical and economic impact of nonadherence among patients who are affected by mood disorders, it is critical to recognize patients at high risk of nonadherence in order to inform future strategies to examine and improve adherence to treatment. Further research is needed to clarify this issue.