Correlates of medication adherence among patients with bipolar disorder: results of the bipolar evaluation of satisfaction and tolerability (BEST) study: a nationwide cross-sectional survey

Medication non-adherence and its predictors among patients with bipolar disorder in Northwest Ethiopia

While pharmacotherapy is the primary approach for treating patients with bipolar disorder, non-adherence is the most common barrier preventing these patients from achieving optimal medication effectiveness. This study aimed to assess medication non-adherence and its predictors among patients with bipolar disorder in Northwest Ethiopia. A hospital-based cross-sectional study was conducted among 404 patients with bipolar disorder in Northwest Ethiopia from January to March 2024. Study participants were enrolled using systematic random sampling. Medication non-adherence was measured using the Medication Adherence Rating Scale (MARS). Data were entered and analyzed using Epi-data version 4.6.0 and SPSS version 26, respectively. A multivariable logistic regression model was fitted to identify predictors of medication non-adherence. Variables with a P-value < 0.05 at a 95% confidence interval were considered statistically significant. The prevalence of medication non-adherence was 39.9%. Number of admissions (AOR = 2.83, 95% CI 1.21, 6.59), suicidal attempts (AOR = 2.75, 95% CI 1.14, 6.63), current substance use (AOR = 2.09, 95% CI 1.13, 3.85) and social support (AOR = 3.57, 95% CI 1.08, 11.81) were statistically significant predictors of medication non-adherence. In this study, more than one-third of the respondents were found to be non-adherent. Participants with frequent admissions, suicidal attempts, current substance use and poor social support require prompt screening and critical follow-up to improve medication adherence.

A 6-month, prospective, randomized controlled trial of customized adherence enhancement versus a bipolar-specific educational control in poorly adherent adolescents and young adults living with bipolar disorder

OBJECTIVE

Few studies have addressed medication adherence in adolescents and young adults (AYAs) with bipolar disorder (BD). This 6-month prospective randomized-controlled trial (RCT) tested customized adherence enhancement for adolescents and young adults (CAE-AYA), a behavioral intervention for AYAs versus enhanced treatment as usual (ETAU).

METHODS

Inclusion criteria were AYAs age 13-21 with BD type I or II with suboptimal adherence defined as missing ≥20% of medications. Assessments were conducted at Screening, Baseline, and weeks 8, 12 and 24. Primary outcome was past 7 day self-reported Tablets Routine Questionnaire (TRQ) validated by electronic pillbox monitoring (SimpleMed). Symptom measures included the Hamilton Depression Rating Scale (HAM-D) and Young Mania Rating Scale (YMRS).

RESULTS

The mean sample age (N = 36) was 19.1 years (SD = 2.0); 66.7% (N = 24) female, BD Type I (81%). The mean missed medication on TRQ for the total sample was 35.4% (SD = 28.8) at screening and 30.4% (SD = 30.5) at baseline. Both CAE-AYA and ETAU improved on TRQ from screening to baseline. Baseline mean missed medication using SimpleMed was 51.6% (SD = 38.5). Baseline HAM-D and YMRS means were 7.1 (SD = 4.7) and 6.0 (SD = 7.3), respectively. Attrition rate at week 24 was 36%. Baseline to 24-week change on TRQ, adjusting for age, gender, educational level, living situation, family history, race, and ethnicity, showed improvement favoring CAE-AYA versus ETAU of 15%. SimpleMed interpretation was limited due to substantial missing data. There was a significant reduction in depression favoring CAE-AYA.

CONCLUSIONS

CAE-AYA may improve adherence in AYAs with BD, although conclusions need to be made cautiously given study limitations.

CLINICAL TRIALS REGISTRATION

ClinicalTrials.gov identifier: NCT04348604.

Exploring the Association Between Residual Mood Symptoms and Self-Reported Side Effects in the Euthymic Phase of Bipolar Disorders: A Cross-Sectional Network Analysis

Introduction: Bipolar disorders (BD) are characterized by mood symptoms that can worsen medication side effects. We aimed to study the association between residual mood signs and self-reported side effects in the euthymic phase of BD. Methods: We assessed residual mood signs using the Montgomery-Asberg Depression Rating scale (MADRS) and Young Mania Rating scale (YMRS) and self-reported side effects using the Patient-Rated Inventory of Side Effects (PRISE-M) for 880 males and 1369 females with BD. We conducted a network analysis to test the associations between 52 items of the three scales for males and females separately. We then identified clusters of nodes that fit the networks well. Results: We report only positive associations between residual mood signs and side effects. An elevated mood (YMRS) in females and increased energy (YMRS) in males were central nodes, strongly influencing the development of additional mood symptoms and side effects. Furthermore, we identified three clusters of nodes in both sexes: (1) a "mood cluster", including most YMRS and MADRS items and the PRISE-M items evaluating sedation, sleep, and restlessness, (2) a cluster of nonsexual side effects (mostly PRISE-M items), and (3) a cluster of sexual side effects. In both sexes, we identified bridge nodes that may favor the communication between mood and side effects, namely palpitations (PRISE-M) and agitation (PRISE-M). Conclusions: The results justify the particular attention of practitioners to monitor elevated moods or increased energy to try to reduce self-reported side effects and other residual mood symptoms in the euthymic phase of BD. Our findings suggest that clinicians could consider patient-reported loss of energy, difficulty in falling asleep, and restlessness as mood symptoms rather than medications' side effects. Palpitations and agitation may contribute to the development of additional mood symptoms or somatic complaints.

A retrospective study of psychotropic drug treatments in bipolar disorder at acute and maintenance episodes

BACKGROUND

Bipolar disorder (BD) is predominantly treated with psychotropic drugs, but BD is a complex medical condition and the contribution of psychotropic drugs is not clear. The objectives of this study are: (1) to present psychotropic drugs used in patients with BD; (2) to access changes of psychotropic drug treatments in acute and maintenance episodes.

METHODS

The study retrospectively evaluated the medical records of inpatients in the Ningbo Kangning Hospital from January 2019 to December 2019. The medical history of each subject was collected completely, including sociodemographic (gender, age, marital status, and so on) and clinical characteristics at baseline and within 12 months of admission.

RESULTS

The study ultimately included 204 patients with BD. After 12 months, 73.0% of the patients still took drugs. Mood stabilizers (72-90%) and antipsychotics (77-95%) were still the most important drugs in patients with BD. Antidepressants (34-40%) and benzodiazepines (20-34%) were the other frequently used drug classes. For mood stabilizers, 40-56% of patients were prescribed lithium. For antipsychotic, 54-65% of patients were prescribed quetiapine. Sertraline (6-9%) and fluoxetine (5-9%) were the antidepressant that most frequently prescribed. Lorazepam (10-18%) was the most commonly used benzodiazepine. In psychotropic polypharmacy, the most frequently taken was mood stabilizer plus antipsychotic co-treatment, about 36-44% of all patients. A total of 35-48% of patients treated by two psychotropic drugs and 24-36% received three.

CONCLUSION

The first 6 months after treatment is very important to medication adherence. Mood stabilizers and antipsychotic remained the primary treatment for BD. Antipsychotic is on the rise in the treatment of BD.

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.

Complex polypharmacy in bipolar disorder: Side effect burden, adherence, and response predictors

BACKGROUND

Complex polypharmacy (CP) is common in bipolar disorder (BD). We assessed the associations between CP, adherence, and side effect burden, and patient traits associated with clinical improvement in relationship to CP.

METHODS

We conducted a secondary analysis of 482 adult BD participants in the Bipolar CHOICE trial. We examined the associations between CP (use of ≥3 BD medications) and non-adherence (missing >30% of BD medication doses in the last 30 days) and side effect burden (Frequency, Intensity and Burden of Side Effects Rating scale) using multivariate models with patient random effects. We used logistic regression to assess the patient traits associated with remission among those with majority CP use (Clinical Global Impression-Severity for BD score ≤2 for 8+ weeks).

RESULTS

43% of patients had any CP and 25% had CP for the majority of the study. CP was associated with non-adherence (OR = 2.51, 95% CI [1.81, 3.50]), but not worse side effect burden. Among those with CP, 16% achieved remission; those with non-adherence, comorbid social or generalized anxiety disorder, or BD I vs. II were less likely to achieve remission among those with CP.

LIMITATIONS

There could be unmeasured confounding between use of CP and side effect burden or adherence. Adherence was measured by self-report, which could be subject to reporting error.

CONCLUSIONS

BD patients with CP were less likely to adhere to therapy, and those with worse adherence to CP were less likely to clinically respond. Clinicians should assess medication adherence prior to adding another agent to medication regimens.

Identifying clinical net benefit of psychotropic medication use with latent variable techniques: Evidence from Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD)

BACKGROUND

Poor medication adherence is common among individuals with Bipolar Disorder (BD). Understanding the sources of heterogeneity in clinical net benefit (CNB) and how it is related to psychotropic medications can provide new insight into ways to improve adherence.

METHODS

Data come from the baseline assessments of the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD). Latent class analysis identified groups of CNB, and validity of this construct was assessed using the SF-36. Adherence was defined as taking 75% or more of medications as prescribed. Associations between CNB and adherence were tested using multiple logistic regression adjusting for sociodemographic characteristics.

RESULTS

Five classes of CNB were identified: High (24%), Moderately high (12%), Moderate (26%), Moderately low (27%) and Low (12%). Adherence to psychotropic medications did not differ across classes (71% to 75%, χ²= 3.43, p = 0.488). Medication regimens differed by class: 57% of the High CNB were taking ≤2 medications, whereas 49% of the Low CNB were taking ≥4. CNB classes had good concordance with the SF-36.

LIMITATIONS

Missing data limited measures used to define CNB. Participants' perceptions of their illness and treatment were not assessed.

CONCLUSIONS

This novel operationalization of CNB has construct validity as indicated by the SF-36. Although CNB and polypharmacy regimens are heterogeneous in this sample, adherence is similar across CNB. Studying adherent individuals, despite suboptimal CNB, may provide novel insights into aspects influencing adherence.

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 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.

Systematic literature review on patterns of pharmacological treatment and adherence among patients with bipolar disorder type I in the USA

BACKGROUND

Bipolar disorder type I (BD-I) is a chronic condition characterized by mania episodes followed by syndromic recovery periods, usually permeated by depressive symptoma-tology and recurring acute manic episodes. It requires long-term pharmacological treatment; thus, it is critical to understand the patterns of drug therapy use and medication compliance to better plan health care policies and needs. This systematic literature review aims to study these data among patients with BD-I in the USA, focusing on medications to treat mania.

METHODS

Articles published in the last 10 years to October 2016 were searched on MEDLINE and Embase. Studies on patterns of drug therapy, concordance of prescription with clinical practice guidelines, and adherence and persistence with pharmacological treatments for BD-I in the USA under observational conditions, with focus on treatments for mania, were selected.

RESULTS

Treatment prevalence for BD-I is low in the USA, with the most current study showing a 46% 12-month rate. There is a lack of studies addressing the use of long-acting injectable (LAI) antipsychotics. Second-generation antipsychotics (SGAs) have been used by nearly all patients receiving oral antipsychotics since the 2000s. However, 30%-60% of individuals with BD do not receive appropriate treatment, and adherence to oral therapies is poor, with medication possession ratios ≥80% seen in only approximately 60% of patients. For persistence rates, results suggest that treatment duration is short for a condition with recommendation for at least 6 months of maintenance therapy. Literature indicates that LAI SGAs may be related to better adherence and persistence.

CONCLUSION

There is a need for studies addressing specifically patterns of therapy and adherence to pharmacological treatment in BD-I patients in the USA to better understand the value of current standards, and an urgent need to improve the rates of adherence and persistence to BD-I pharmacotherapy and to increase the understanding of LAI SGAs' potential to address this issue.

Pharmacological Treatment of Bipolar Disorder with Comorbid Alcohol Use Disorder

Bipolar disorder (BD) spectrum and alcohol use disorders (AUDs) commonly occur together. Comorbidity between the two conditions predisposes patients to elevated risks of adverse outcomes, including hospitalization and suicide, compared with either condition alone. Despite the consistent relationship observed between BD and AUD, the underlying cause remains incompletely characterized. Few trials conducted have been able to identify promising interventions for patients with these disease states. The antipsychotic quetiapine has been evaluated most commonly as a therapeutic agent for patients with BD and AUD followed by naltrexone and acamprosate. Randomized controlled trials of quetiapine have consistently reported a lack of efficacy for the treatment of patients with BD and AUD. Trials of acamprosate have also been negative but small in size. Results of the sole randomized controlled trial of naltrexone have found large treatment effect sizes, but no statistically significant difference between treatment groups. Other agents including the antipsychotic aripiprazole, mood stabilizing agents including lamotrigine, lithium, and divalproex, and the antiepileptic agent topiramate have also been evaluated for the treatment of BD and AUD with mixed findings. The lone statistically significant treatment effect was observed in a randomized, placebo-controlled trial of divalproex added on to lithium which demonstrated a reduction in alcohol use. This review summarizes the available clinical evidence and current guideline recommendations for the treatment of comorbid BD and AUD, and provides discussion and recommendations based on the current literature.

Attitudes toward antipsychotic treatment among patients with bipolar disorders and their clinicians: a systematic review

INTRODUCTION

Antipsychotics are recommended as first-line therapy for acute mania and maintenance treatment of bipolar disorder; however, published literature suggests their real-world use remains limited. Understanding attitudes toward these medications may help identify barriers and inform personalized therapy. This literature review evaluated patient and clinician attitudes toward the use of antipsychotics for treating bipolar disorder.

MATERIALS AND METHODS

A systematic search of the Cochrane Library, Ovid MEDLINE, Embase, and BIOSIS Previews identified English language articles published between January 1, 2000, and June 15, 2016, that reported attitudinal data from patients, health care professionals, or caregivers; treatment decision-making; or patient characteristics that predicted antipsychotic use for bipolar disorder. Results were analyzed descriptively.

RESULTS

Of the 209 references identified, 11 met the inclusion criteria and were evaluated. These articles provided attitudinal information from 1,418 patients with bipolar disorder and 1,282 treating clinicians. Patients' attitudes toward antipsychotics were generally positive. Longer duration of clinical stability was associated with positive attitudes. Implementation of psychoeducational and adherence enhancement strategies could improve patient attitudes. Limited data suggest clinicians' perceptions of antipsychotic efficacy and tolerability may have the greatest impact on their prescribing patterns. Because the current real-world evidence base is inadequate, clinician attitudes may reflect a relative lack of experience using antipsychotics in patients with bipolar disorder.

CONCLUSION

Although data are very limited, perceived tolerability and efficacy concerns shape both patient and clinician attitudes toward use of antipsychotic drugs in bipolar disorder. Additional studies are warranted.

Treatment-adherence in bipolar disorder: A patient-centred approach

About half of the patients diagnosed with bipolar disorder (BD) become non-adherent during long-term treatment, a rate largely similar to other chronic illnesses and one that has remained unchanged over the years. Non-adherence in BD is a complex phenomenon determined by a multitude of influences. However, there is considerable uncertainty about the key determinants of non-adherence in BD. Initial research on non-adherence in BD mostly limited itself to examining demographic, clinical and medication-related factors impacting adherence. However, because of inconsistent results and failure of these studies to address the complexities of adherence behaviour, demographic and illness-related factors were alone unable to explain or predict non-adherence in BD. This prompted a shift to a more patient-centred approach of viewing non-adherence. The central element of this approach includes an emphasis on patients’ decisions regarding their own treatment based on their personal beliefs, life circumstances and their perceptions of benefits and disadvantages of treatment. Patients’ decision-making processes are influenced by the nature of their relationship with clinicians and the health-care system and by people in their immediate environment. The primacy of the patient’s perspective on non-adherence is in keeping with the current theoretical models and concordance-based approaches to adherence behaviour in BD. Research over the past two decades has further endorsed the critical role of patients’ attitudes and beliefs regarding medications, the importance of a collaborative treatment-alliance, the influence of the family, and the significance of other patient-related factors such as knowledge, stigma, patient satisfaction and access to treatment in determining non-adherence in BD. Though simply moving from an illness-centred to a patient-centred approach is unlikely to solve the problem of non-adherence in BD, such an approach is more likely to lead to a better understanding of non-adherence and more likely to yield effective solutions to tackle this common and distressing problem afflicting patients with BD.

Online information seeking by patients with bipolar disorder: results from an international multisite survey

Background

Information seeking is an important coping mechanism for dealing with chronic illness. Despite a growing number of mental health websites, there is little understanding of how patients with bipolar disorder use the Internet to seek information.

Methods

A 39 question, paper-based, anonymous survey, translated into 12 languages, was completed by 1222 patients in 17 countries as a convenience sample between March 2014 and January 2016. All patients had a diagnosis of bipolar disorder from a psychiatrist. Data were analyzed using descriptive statistics and generalized estimating equations to account for correlated data.

Results

976 (81 % of 1212 valid responses) of the patients used the Internet, and of these 750 (77 %) looked for information on bipolar disorder. When looking online for information, 89 % used a computer rather than a smartphone, and 79 % started with a general search engine. The primary reasons for searching were drug side effects (51 %), to learn anonymously (43 %), and for help coping (39 %). About 1/3 rated their search skills as expert, and 2/3 as basic or intermediate. 59 % preferred a website on mental illness and 33 % preferred Wikipedia. Only 20 % read or participated in online support groups. Most patients (62 %) searched a couple times a year. Online information seeking helped about 2/3 to cope (41 % of the entire sample). About 2/3 did not discuss Internet findings with their doctor.

Conclusion

Online information seeking helps many patients to cope although alternative information sources remain important. Most patients do not discuss Internet findings with their doctor, and concern remains about the quality of online information especially related to prescription drugs. Patients may not rate search skills accurately, and may not understand limitations of online privacy. More patient education about online information searching is needed and physicians should recommend a few high quality websites.

Electronic supplementary material

The online version of this article (doi:10.1186/s40345-016-0058-0) contains supplementary material, which is available to authorized users.

Symptom severity, self-reported adherence, and electronic pill monitoring in poorly adherent patients with bipolar disorder

OBJECTIVES

This analysis of screening and baseline data from an ongoing trial examined self-report versus automated adherence monitoring and assessed the relationship between bipolar disorder (BD) symptoms and adherence in 104 poorly adherent individuals.

METHODS

Adherence was measured with the Tablets Routine Questionnaire (TRQ) and the Medication Event Monitoring System (MEMS). Symptoms were measured with the Montgomery-Åsberg Depression Rating Scale (MADRS), the Young Mania Rating Scale (YMRS), and the Brief Psychiatric Rating Scale (BPRS).

RESULTS

The mean age of the sample was 46.3 years [standard deviation (SD) = 9.41 years], with 72% (n = 75) women and 71% (n = 74) African American subjects. Adherence improved from screening to baseline, with a mean missed drug proportion measured by TRQ of 61.43% (SD = 26.48%) versus a baseline mean of 46.61% (SD = 30.55%). The mean proportion of missed medication using MEMS at baseline was 66.43% (SD = 30.40%). The correlation between TRQ and MEMS was 0.47. The correlation between a single index drug and all BD medications was 0.95. Symptoms were generally positively correlated with TRQ (worse adherence = more severe symptoms), but in most instances was only at a trend level (p > 0.05), with the exception of the correlations between baseline TRQ and MADRS and BPRS, which were positive (r = 0.20 and r = 0.21, respectively) and significant (p ≤ 0.05).

CONCLUSIONS

In patients with BD, monitoring increased adherence by 15%. MEMS identified 20% more non-adherence than self-report. Using a standard procedure to identify a single index drug for adherence monitoring may be one way to assess global adherence in patients with BD receiving polypharmacy treatment. Greater BD symptom severity may be a clinical indicator to assess for adherence problems.

Medication non-adherence among adult psychiatric out patients in Jimma University Specialized Hospital, Southwest Ethiopia

Background

Information on adherence of adult psychiatric patients to biological modes of treatment is scarce in Ethiopia. Knowledge on adherence is essential in terms of future prognosis, quality of life and functionality of such patients. This study was conducted to assess the magnitude and associated factors of non-adherence to medication.

Methods

A hospital based cross-sectional study was conducted in November 2011 at the psychiatry facility of Jimma University Specialized Hospital, which provides service to more than 10 mill people. A sample of 422 adults with psychiatric illness in the follow-up outpatients was selected consecutively. Data was collected using a pre-tested questionnaire by face-to-face interview and from patient medical records. The four-item Morisky scale was used to assess degree of medication adherence. Data was analyzed using SPSS version 16 and descriptive, chi-square test and logistic regression statistical methods were used. P-Value of less than 0.05 was considered as statistically significant in the final model.

Results

Out of the 422 patients, 40.3% were females and 59.7% males. The prevalence rate for non-adherence was 41.2%, non-affective psychoses diagnosis contributing the highest rate (44.5%). From the total non-adherent respondents, 78.2% attributed their non-adherence to forgetting. Irregular follow-up, poor social support and complex drug regimen were independently associated variables with non-adherence.

Conclusions

The result of the study showed that non-adherence among psychiatric patients in Southwest Ethiopia is high and revealed possible associated factors. Adherence needs integrated efforts in creating a mechanism in enhancing regular follow-up, informal social support system and ongoing awareness creation among professionals.

Medication burden in bipolar disorder: a chart review of patients at psychiatric hospital admission

Individuals with bipolar disorder (BD) often receive complex polypharmacy regimens as part of treatment, yet few studies have sought to evaluate patient characteristics associated with this high medication burden. This retrospective chart review study examined rates of complex polypharmacy (i.e., ≥4 psychotropic medications), patterns of psychotropic medication use, and their demographic and clinical correlates in a naturalistic sample of adults with bipolar I disorder (BDI; N=230) presenting for psychiatric hospital admission. Using a computer algorithm, a hospital administrator extracted relevant demographic, clinical, and community treatment information for analysis. Patients reported taking an average of 3.31 (S.D.=1.46) psychotropic medications, and 5.94 (S.D.=3.78) total medications at intake. Overall, 82 (36%) met criteria for complex polypharmacy. Those receiving complex polypharmacy were significantly more likely to be female, to be depressed, to have a comorbid anxiety disorder, and to have a history of suicide attempt. Women were significantly more likely than men to be prescribed antidepressants, benzodiazepines, and stimulants, even after controlling for mood episode polarity. Study data highlight the high medication burden experienced by patients with BD, especially those who are acutely symptomatic. Data also highlight the particularly high medication burden experienced by women with BD; a burden not fully accounted for by depression.

Chronic diseases and conditions related to alcohol use

Alcohol consumption is a risk factor for many chronic diseases and conditions. The average volume of alcohol consumed, consumption patterns, and quality of the alcoholic beverages consumed likely have a causal impact on the mortality and morbidity related to chronic diseases and conditions. Twenty-five chronic disease and condition codes in the International Classification of Disease (ICD)-10 are entirely attributable to alcohol, and alcohol plays a component-risk role in certain cancers, other tumors, neuropsychiatric conditions, and numerous cardiovascular and digestive diseases. Furthermore, alcohol has both beneficial and detrimental impacts on diabetes, ischemic stroke, and ischemic heart disease, depending on the overall volume of alcohol consumed, and, in the case of ischemic diseases, consumption patterns. However, limitations exist to the methods used to calculate the relative risks and alcohol-attributable fractions. Furthermore, new studies and confounders may lead to additional diseases being causally linked to alcohol consumption, or may disprove the relationship between alcohol consumption and certain diseases that currently are considered to be causally linked. These limitations do not affect the conclusion that alcohol consumption significantly contributes to the burden of chronic diseases and conditions globally, and that this burden should be a target for intervention.