Patient-based utilities for bipolar disorder-related health states

Cost-utility analysis of adjunct repetitive transcranial magnetic stimulation for treatment resistant bipolar depression

OBJECTIVE

To evaluate the cost-effectiveness of repetitive transcranial magnetic stimulation (rTMS) as an adjunct to standard care from an Australian health sector perspective, compared to standard care alone for adults with treatment-resistant bipolar depression (TRBD).

METHODS

An economic model was developed to estimate the cost per disability-adjusted life-year (DALY) averted and quality-adjusted life-year (QALY) gained for rTMS added to standard care compared to standard care alone, for adults with TRBD. The model simulated the time in three health states (mania, depression, residual) over one year. Response to rTMS was sourced from a meta-analysis, converted to a relative risk and used to modify the time in the depressed state. Uncertainty and sensitivity tested the robustness of results.

RESULTS

Base-case incremental cost-effectiveness ratios (ICERs) were $72,299 per DALY averted (95 % Uncertainty Interval (UI): $60,915 to $86,668) and $46,623 per QALY gained (95 % UI: $39,676 - $55,161). At a willingness to pay (WTP) threshold of $96,000 per DALY averted, the base-case had a 100 % probability of being marginally cost-effective. At a WTP threshold of $64,000 per QALY gained, the base-case had a 100 % probability of being cost-effective. Sensitivity analyses decreasing the number of sessions provided, increasing the disability weight or the time spent in the depression state for standard care improved the ICERs for rTMS.

CONCLUSIONS

Dependent on the outcome measure utilised and assumptions, rTMS would be considered a very cost-effective or marginally cost-effective adjunct to standard care for TRBD compared to standard care alone.

Prioritizing Treatment Goals of People Diagnosed with Bipolar I Disorder in the US: Best-Worst Scaling Results

Purpose

Bipolar I disorder (BP-I) is associated with significant disease burden, but evidence on treatment goals in people diagnosed with BP-I is scarce. This study sought to quantify treatment goals related to the pharmacological management of BP-I in adults in the US and to identify if subgroups of people with similar treatment goals exist.

Patients and Methods

A best-worst scaling (BWS) of treatment goals was developed based on available literature and input from experts and patients and was distributed as part of a survey between August and September 2021. Survey participants were adults with a self-reported diagnosis of BP-I who were recruited via an online panel in the US. Participants were asked to prioritize the importance of 16 treatment goals using BWS. BWS scores were computed using multinomial logistic regression, with the scores across all goals summing to 100 for each participant. Subgroups of people with similar preferences were identified using latent class analysis.

Results

The most important treatment goals for people diagnosed with BP-I (N=255) were "being less impulsive, angry, or irritable" (score: 9.73), or being "able to feel pleasure or happiness" (score: 9.54). Goals related to reducing the incidence of various potential adverse events of medication (scores: ≤4.51) or "reducing dependence on others" (score: 3.04) were less important. Two subgroups were identified. One subgroup (n=111) prioritized symptom-focused goals, considering "reducing frequency of mania, depression, and mixed episodes" and "being less impulsive, angry or irritable" the most important (scores: 12.46 and 11.85, respectively). The other subgroup (n=144) placed significantly more importance on social functioning-focused goals, including beginning or maintaining a relationship with a partner/significant other, and with family and/or friends (scores: 8.45 and 7.70, respectively).

Conclusion

People diagnosed with BP-I prioritized emotional improvements. Subgroups of people with BP-I prioritized either symptom-focused or social functioning-focused treatment goals.

Defining utility values for patients with tardive dyskinesia

OBJECTIVE

To measure health state preferences and estimate utility values for tardive dyskinesia (TD) from the perspective of the US general population, accounting for factors affecting quality of life (QOL).

METHODS

Participants from the general population were recruited and asked to watch and assess videos of professional actors simulating nine health states, including psychiatric disorders with/without TD and moderate-to-severe TD without any underlying disease. Time tradeoff (TTO) methods were used to elicit utility values, which ranged from -1 (worse than death) to +1 (perfect health) and represented individual preferences for avoiding specific health states associated with TD. Lower TTO utility values indicated individuals' willingness to give up more years of life to avoid living in each health state.

RESULTS

Based on TTO responses (n = 157), mean ± standard deviation utility for TD alone was 0.59 ± 0.38. Mean utilities for schizophrenia with negative symptoms (without TD: 0.43; with TD: 0.29) and positive symptoms (without TD: 0.44; with TD: 0.30) were generally lower than those for bipolar disorder (without TD: 0.59; with TD: 0.46) and major depressive disorder (without TD: 0.60; with TD: 0.44). According to utility decrements associated with TD (0.13-0.16), respondents were willing to give up 1.3 to 1.6 years during a 10-year lifespan to avoid living with TD.

CONCLUSIONS

Utility decrements for TD in this study were slightly larger than previously reported values, potentially due to incorporation of QOL and social consequences in TD health state descriptions. An important limitation of this analysis is that participants' willingness to trade future years of healthy life may not indicate actual willingness to accept the life decrement. These findings can be leveraged to improve cost-effectiveness analyses used to assess the value of treatments for TD.

Designing and testing of a health-economic Markov model to assess the cost-effectiveness of treatments for Bipolar disorder: TiBipoMod

BACKGROUND

Bipolar disorder is an often recurrent mood disorder that is associated with a significant economic and health-related burden. Increasing the availability of health-economic evidence may aid in reducing this burden. The aim of this study is to describe the design of an open-source health-economic Markov model for assessing the cost-effectiveness of interventions in the treatment of Bipolar Disorders type I and II, TiBipoMod.

METHODS

TiBipoMod is a decision-analytic Markov model that allows for user-defined incorporation of both pharmacological and non-pharmacological interventions for the treatment of BD. TiBipoMod includes the health states remission, depression, (hypo)mania and death. Costs and effects are modeled over a lifetime horizon from a societal and healthcare perspective, and results are presented as the total costs, Quality-Adjusted Life Years (QALY), Life Years (LY), and incremental costs per QALYs and LYs gained.

RESULTS

Functionalities of TiBipoMod are demonstrated by performing a cost-utility analysis of mindfulness-based cognitive therapy (MBCT) compared to the standard of care. Treatment with MBCT resulted in an increase of 0.18 QALYs per patient, and a dominant incremental cost-effectiveness ratio per QALY gained for MBCT at a probability of being cost-effective of 71% when assuming a €50,000 willingness-to-pay threshold.

CONCLUSION

TiBipoMod can easily be adapted and used to determine the cost-effectiveness of interventions in the treatment in Bipolar Disorder type I and II, and is freely available for academic purposes upon request at the authors.

Recurrent Events Model Application in Determining the Risk Factors of Bipolar Disorder Recurrence

Objective: Recurrent events data is one of the most important types of survival data whose main feature is correlation between individual’s observations. The aim of this study was to analyze the time to bipolar disorder (BD) relapse and determine the related factors using recurrent events models.

Method: In this retrospective study, records of 104 BD patients with at least one relapse who were admitted for the first time (2001-2015) in Farabi hospital of Kermanshah were gathered to identify the factors influencing the time intervals between the recurrent survivals data using the Cox model with and without frailty (shared frailty), once with frailty gamma distribution and once with log-normal distribution frailty. All calculations were performed using R and SPSS software, versions 3.0.2 and 16 and the level of significance was considered at 0.05.

Results: Among the employed models, Cox model with lognormal shared frailty showed better fit for BD recurrent survival data. According to results of Cox model with lognormal frailty, 2 factors (marital status and history of veteran) were identified to affect the time intervals between relapses.

Conclusion: Because of the better fit of the models with the frailty effect on data, the correlation between the recurrent time intervals of each subject's relapse of BD was confirmed. Also, since the risk of subsequent relapses was less in married and veteran patients, marriage and emotional care supports can be considered as effective factors in reducing the risk of subsequent relapses of this disease.

Measuring Population Health in a Large Integrated Health System to Guide Goal Setting and Resource Allocation: A Proof of Concept

In integrated health care systems, techniques that identify successes and opportunities for targeted improvement are needed. The authors propose a new method for estimating population health that provides a more accurate and dynamic assessment of performance and priority setting. Member data from a large integrated health system (n = 96,246, 73.8% female, mean age = 44 ± 0.01 years) were used to develop a mechanistic mathematical simulation, representing the top causes of US mortality in 2014 and their associated risk factors. An age- and sex-matched US cohort served as comparator group. The simulation was recalibrated and retested for validity employing the outcome measure of 5-year mortality. The authors sought to estimate potential population health that could be gained by improving health risk factors in the study population. Potential gains were assessed using both average life years (LY) gained and average quality-adjusted life years (QALYs) gained. The simulation validated well compared to integrated health system data, producing an AUC (area under the curve) of 0.88 for 5-year mortality. Current population health was estimated as a life expectancy of 84.7 years or 69.2 QALYs. Comparing potential health gain in the US cohort to the Kaiser Permanente cohort, eliminating physical inactivity, unhealthy diet, smoking, and uncontrolled diabetes resulted in an increase of 1.5 vs. 1.3 LY, 1.1 vs. 0.8 LY, 0.5 vs. 0.2 LY, and 0.5 vs. 0.5 LY on average per person, respectively. Using mathematical simulations may inform efforts by integrated health systems to target resources most effectively, and may facilitate goal setting.

What utility scores do mental health service users, healthcare professionals and members of the general public attribute to different health states? A co-produced mixed methods online survey

Background

Utility scores are integral to health economics decision-making. Typically, utility scores have not been scored or developed with mental health service users. The aims of this study were to i) collaborate with service users to develop descriptions of five mental health states (psychosis, depression, eating disorder, medication side effects and self-harm); ii) explore feasibility and acceptability of using scenario-based health states in an e-survey; iii) evaluate which utility measures (standard gamble (SG), time trade off (TTO) and rating scale (RS)) are preferred; and iv) determine how different participant groups discriminate between the health scenarios and rank them.

Design and methods

This was a co-produced mixed methods cross-sectional online survey. Utility scores were generated using the SG, TTO and RS methods; difficulty of the completing each method, markers of acceptability and participants’ preference were also assessed.

Results

A total of 119 participants (58%) fully completed the survey. For any given health state, SG consistently generated higher utility scores compared to RS and for some health states higher also than TTO (i.e. SG produces inflated utility scores relative to RS and TTO). Results suggest that different utility measures produce different evaluations of described health states. The TTO was preferred by all participant groups over the SG. The three participant groups scored four (of five) health scenarios comparably. Psychosis scored as the worst health state to live with while medication side-effects were viewed more positively than other scenarios (depression, eating disorders, self-harm) by all participant groups. However, there was a difference in how the depression scenario was scored, with service users giving depression a lower utility score compared to other groups.

Conclusion

Mental health state scenarios used to generate utility scores can be co-produced and are well received by a broad range of participants. Utility valuations using SG, TTO and RS were feasible for use with service users, carers, healthcare professionals and members of the general public. Future studies of utility scores in psychiatry should aim to include mental health service users as both co-investigators and respondents.

Cost–effectiveness of long-acting injectable aripiprazole once-monthly 400 mg in bipolar I disorder in the USA

Aim: To evaluate the cost–effectiveness of aripiprazole once-monthly 400/300 mg (AOM 400) in maintenance monotherapy treatment of bipolar I disorder (BP-I). Methods: A de novo lifetime Markov model was developed for BP-I using available data for AOM 400 and relevant comparators. Base-case analysis considered costs and outcomes from the US payer perspective. Results: The cost per quality-adjusted life year gained with AOM 400 versus comparators ranged from US$2007 versus oral asenapine to dominance (i.e., lower cost with quality-adjusted life gain) versus long-acting injectable risperidone, paliperidone palmitate, oral cariprazine and best supportive care. Patients treated with AOM 400 were estimated to have fewer mood episodes and hospitalizations per patient (5.37) than comparators (6.33, asenapine or cariprazine; 6.54, risperidone long-acting injectable; 7.64, paliperidone palmitate; and 8.93, best supportive care). Sensitivity analyses showed results were robust to parameter uncertainty. Conclusion: AOM 400 may be considered cost effective in the maintenance monotherapy treatment of BP-I in adults.

Health state utility values of high prevalence mental disorders in Australia: results from the National Survey of Mental Health and Wellbeing

PURPOSE

High prevalence mental disorders including depression, anxiety and substance use disorders are associated with high economic and disease burden. However, there is little information regarding the health state utility values of such disorders according to their clinical severity using comparable instruments across all disorders. This study reports utility values for high prevalence mental disorders using data from the 2007 Australian National Survey of Mental Health and Wellbeing (NSMHWB).

METHODS

Utility values were derived from the AQoL-4D and analysed by disorder classification (affective only (AD), anxiety-related only (ANX), substance use only (SUB) plus four comorbidity groups), severity level (mild, moderate, severe), symptom recency (reported in the past 30 days), and comorbidity (combination of disorders). The adjusted Wald test was applied to detect statistically significant differences of weighted means and the magnitude of difference between groups was presented as a modified Cohen's d.

RESULTS

In total, 1526 individuals met criteria for a 12-month mental disorder. The mean utility value was 0.67 (SD = 0.27), with lower utility values associated with higher severity levels and some comorbidities. Utility values for AD, ANX and SUB were 0.64 (SD = 0.25), 0.71 (SD = 0.25) and 0.81 (SD = 0.19), respectively. No differences in utility values were observed between disorders within disorder groups. Utility values were significantly lower among people with recent symptoms (within past 30 days) than those without; when examined by diagnostic group, this pattern held for people with SUB, but not for people with ANX or AD.

CONCLUSIONS

Health state utility values of people with high prevalence mental disorders differ significantly by severity level, number of mental health comorbidities and the recency of symptoms, which provide new insights on the burden associated with high prevalence mental disorders in Australia. The derived utility values can be used to populate future economic models.

Patient preferences for important attributes of bipolar depression treatments: a discrete choice experiment

PURPOSE

The purpose of this study was to assess patient preferences regarding pharmacological treatment attributes for bipolar depression using a discrete choice experiment (DCE).

METHODS

Adult members of an Internet survey panel with a self-reported diagnosis of bipolar depression were invited via e-mail to participate in a web-based DCE survey. Participants were asked to choose between hypothetical medication alternatives defined by attributes and levels that were varied systematically. The six treatment attributes included in the DCE were time to improvement, risk of becoming manic, weight gain, risk of sedation, increased blood sugar, and increased cholesterol. Attributes were supported by literature review, expert input, and results of focus groups with patients. Sawtooth CBC System for Choice-Based Conjoint Analysis was used to estimate the part-worth utilities for the DCE analyses.

RESULTS

The analytical sample included 185 participants (50.8% females) from a total of 200 participants. The DCE analyses found weight gain to be the most important treatment attribute (relative importance =49.6%), followed by risk of sedation (20.2%), risk of mania (13.0%), increased blood sugar (8.3%), increased cholesterol (5.2%), and time to improvement (3.7%).

CONCLUSION

Results from this DCE suggest that adults with bipolar depression considered risks of weight gain and sedation associated with pharmacotherapy as the most important attributes for the treatment of bipolar depression. Incorporating patient preferences in the treatment decision-making process may potentially have an impact on treatment adherence and satisfaction and, ultimately, patient outcomes.

A Systematic Review of the Techniques Used to Value Temporary Health States

BACKGROUND

A broad literature on health state utility values exists, but compared with chronic health states (HSs), issues surrounding the valuation of temporary health states (THSs) have been poorly explored.

OBJECTIVES

To assess the methods used by previous studies to value HSs that are considered temporary so as to determine the strengths and limitations associated with various approaches and to inform future study designs.

METHODS

A systematic review was undertaken to explore the methods used, assess how the valuation was conducted for diseases that might lead to HSs deemed as temporary, and identify the challenges encountered in the valuation of THSs.

RESULTS

Of the 36 relevant studies, 22 were explicit that the HS being valued was temporary. Most of the studies used more than one technique (often incorporating both conventional and adapted approaches). In using adapted techniques, the primary challenge was identifying an appropriate intermediate "anchor" HS and the possibility of negative utilities.

CONCLUSIONS

There is no agreement on the most methodologically robust approach to THS valuation. Valuation is complex and important issues relating to the validity, practicality, and reliability of the techniques used were not adequately covered by most of the studies identified.

Medication non-adherence in bipolar disorder: Review of rates, demographic and clinical predictors

AIM

To conduct a systematic search for all studies examining rates and demographic and illness-related determinants of medication non-adherence in bipolar disorder (BD).

METHODS

A comprehensive literature search was undertaken of six English-language databases to identify published articles on medication non-adherence in BD from inception till December 2016. Any article, either a review or an original-research article was examined for its relevance to the subject. All such articles were manually searched to locate any further articles containing relevant information. Studies were included only if they had adequately described the patient sample, assessment methods and statistical procedures, presented their results systematically and their conclusions were congruent with the results.

RESULTS

The initial search yielded 249 articles on the subject; of these 198 articles were included. Of the 162 original-research studies, 132 had provided information on rates of medication non-adherence in BD. There was a wide variation in rates ranging from universal adherence (100%) to almost universal non-adherence (96%); this discrepancy was more due to methodological differences than true variations in rates. Notwithstanding the significant discrepancies in methodology, based on these 132 studies mean rates of 41.5%-43% and median rates of 40%-41% were obtained for medication non-adherence in BD. Rates of adherence with mood stabilizers were significantly lower than those for antipsychotics, or for medications of all classes. None of the demographic attributes were unequivocally linked to medication non-adherence in BD. Similarly, medication-related variables such as type of medications, doses, treatment regimens and side effects did not demonstrate consistent associations with non-adherence. Among clinical characteristics the presence of comorbid substance use disorder and absence of insight were the only two factors clearly linked to non-adherence in BD.

CONCLUSION

Medication non-adherence is prevalent in about a third to half of patients with BD. Demographic, illness and treatment related factors do not predict non-adherence with certainty.

A Systematic Review and Critical Appraisal of Economic Evaluations of Pharmacological Interventions for People with Bipolar Disorder

BACKGROUND

Bipolar disorder (BD) is a chronic mood disorder that causes substantial psychological and financial burden. Various pharmacological treatments are effective in the management and prevention of acute episodes of BD. In an era of tighter healthcare budgets and a need for more efficient use of resources, several economic evaluations have evaluated the cost effectiveness of treatments for BD.

OBJECTIVE

The aim of this study was to systematically review and appraise published economic evaluations of pharmacological interventions for BD.

METHODS

A systematic search combining search terms specific to BD with a health economics search filter was conducted on six bibliographic databases (EMBASE, MEDLINE, PsycINFO, HTA, NHS EED, CENTRAL) in order to identify trial- or model-based full economic evaluations of pharmacological treatments of any phase of the disorder that were published between 1 January 1990 and 18 December 2015. Studies that met the inclusion criteria were critically appraised using the Quality of Health Economic Studies (QHES) checklist, and synthesised in a narrative way.

RESULTS

The review included 19 economic studies, which varied with regard to the type and number of interventions assessed, the study design, the phase of treatment (acute or maintenance), the source of efficacy data and the method for evidence synthesis, the outcome measures, the time horizon and the countries/settings in which the studies were conducted. The study quality was variable but the majority of studies were of high or fair quality.

CONCLUSION

Pharmacological interventions are cost effective, compared with no treatment, in the management of BD, both in the acute and maintenance phases. However, it is difficult to draw safe conclusions on the relative cost effectiveness between drugs due to differences across studies and limitations characterising many of them. Future economic evaluations need to consider the whole range of treatment options available for the management of BD and adopt appropriate methods for evidence synthesis and economic modelling, to explore more robustly the relative cost effectiveness of pharmacological interventions for people with BD.

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.

Effects of Omega-3 Supplement in the Treatment of Patients with Bipolar I Disorder

BACKGROUND

Fatty acids play various physiological roles in the organism; they are crucial for the structure of cell membranes, metabolic processes, transmission of nerve impulses and brain functions. In recent years, particular attention has been paid to the rich sources of omega-3 for the treatment of many diseases, especially mental illnesses. The present study aimed to investigate the effects of omega-3 supplement in the treatment of patients with bipolar I disorder (BID).

METHODS

In this double-blind clinical trial, 100 patients suffering from BIDs were randomly divided into two, i.e. control (n = 50) and experimental (n = 50) groups. In addition to the other standard treatments, 1000 mg of omega-3 supplement was given to the experimental group on daily basis for 3 months and placebo was given to the control group. The Young Mania Rating Scale was completed for both groups before and after the intervention. Afterward, data were analyzed using paired t-test, independent t-test, and Chi-square test.

RESULTS

Before intervention, mean severity of mania in the experimental group (23.50 ± 7.02) and control group (23.70 ± 8.09) was not significant (P ≤ 0.89). The difference after the intervention in the experimental group (10.64 ± 3.3) and control group (20.12 ± 6.78) was significant (P < 0.01). The mean intensity of mania before (23.50 ± 7.02) and after (10.64 ± 3.3) intervention reported to be significant at P < 0.05.

CONCLUSIONS

Since omega-3 supplement was effective for the treatment of BID, it is suggested to use omega-3 supplements as an adjuvant therapy along with the other pharmacotherapies.

What matters to patients? A systematic review of preferences for medication-associated outcomes in mental disorders

OBJECTIVE

To investigate patients' preferences for outcomes associated with psychoactive medications.

SETTING/DESIGN

Systematic review of stated preference studies. No settings restrictions were applied.

PARTICIPANTS/ELIGIBILITY CRITERIA

We included studies containing quantitative data regarding the relative value adults with mental disorders place on treatment outcomes. Studies with high risk of bias were excluded.

PRIMARY AND SECONDARY OUTCOME MEASURES

We restricted the scope of our review to preferences for outcomes, including the consequences from, attributes of, and health states associated with particular medications or medication classes, and process outcomes.

RESULTS

After reviewing 11 215 citations, 16 studies were included in the systematic review. These studies reported the stated preferences from patients with schizophrenia (n=9), depression (n=4), bipolar disorder (n=2) and attention deficit hyperactive disorder (n=1). The median sample size was 81. Side effects and symptom outcomes outnumbered functioning and process outcomes. Severe disease and hospitalisation were reported to be least desirable. Patients with schizophrenia tended to value disease states as higher and side effects as lower, compared to other stakeholder groups. In depression, the ability to cope with activities was found to be more important than a depressed mood, per se. Patient preferences could not consistently be predicted from demographic or disease variables. Only a limited number of potentially important outcomes had been investigated. Benefits to patients were not part of the purpose in 9 of the 16 studies, and in 10 studies patients were not involved when the outcomes to present were selected.

CONCLUSIONS

Insufficient evidence exists on the relative value patients with mental disorders place on medication-associated outcomes. To increase patient-centredness in decisions involving psychoactive drugs, further research-with outcomes elicited from patients, and for a larger number of conditions-should be undertaken.

TRIAL REGISTRATION NUMBER

PROSPERO CRD42013005685.

Cost-effectiveness of asenapine in the treatment of bipolar I disorder patients with mixed episodes

OBJECTIVE

Around one-third of patients with bipolar I disorder (BD-I) experience mixed episodes, characterized by both mania and depression, which tend to be more difficult and costly to treat. Atypical antipsychotics are recommended for the treatment of mixed episodes, although evidence of their efficacy, tolerability, and cost in these patients is limited. This study evaluates, from a UK National Health Service perspective, the cost-effectiveness of asenapine vs olanzapine in BD-I patients with mixed episodes.

METHODS

Cost-effectiveness was assessed using a Markov model. Efficacy was informed by a post-hoc analysis of two short-term clinical trials, with response measured as a composite Young Mania Rating Score and Montgomery-Åsberg Depression Rating Scale end-point. Probabilities of discontinuation and relapse to manic, mixed, and depressive episodes were sourced from published meta-analyses. Direct costs (2012-2013 values) included drug acquisition, monitoring, and resource use related to bipolar disorder as well as selected adverse events. Benefits were measured as quality-adjusted life years (QALYs).

RESULTS

For treating mixed episodes, asenapine generated 0.0187 more QALYs for an additional cost of £24 compared to olanzapine over a 5-year period, corresponding to a £1302 incremental cost-effectiveness ratio. The higher acquisition cost of asenapine was roughly offset by the healthcare savings conferred through its greater efficacy in treating these patients. The model shows that benefits were driven by earlier response to asenapine during acute treatment and were maintained during longer-term follow-up. RESULTS were sensitive to changes in key parameters including short and longer-term efficacy, unit cost, and utilities, but conclusions remained relatively robust.

CONCLUSIONS

RESULTS suggest that asenapine is a cost-effective alternative to olanzapine in mixed episode BD-I patients, and may have specific advantages in this population, potentially leading to healthcare sector savings and improved outcomes. Limitations of the analysis stem from gaps in clinical and economic evidence for these patients and should be addressed by future clinical trials.

Cost effectiveness of a pharmacist-led information technology intervention for reducing rates of clinically important errors in medicines management in general practices (PINCER)

BACKGROUND AND OBJECTIVE

We recently showed that a pharmacist-led information technology-based intervention (PINCER) was significantly more effective in reducing medication errors in general practices than providing simple feedback on errors, with cost per error avoided at £79 (US$131). We aimed to estimate cost effectiveness of the PINCER intervention by combining effectiveness in error reduction and intervention costs with the effect of the individual errors on patient outcomes and healthcare costs, to estimate the effect on costs and QALYs.

METHODS

We developed Markov models for each of six medication errors targeted by PINCER. Clinical event probability, treatment pathway, resource use and costs were extracted from literature and costing tariffs. A composite probabilistic model combined patient-level error models with practice-level error rates and intervention costs from the trial. Cost per extra QALY and cost-effectiveness acceptability curves were generated from the perspective of NHS England, with a 5-year time horizon.

RESULTS

The PINCER intervention generated £2,679 less cost and 0.81 more QALYs per practice [incremental cost-effectiveness ratio (ICER): -£3,037 per QALY] in the deterministic analysis. In the probabilistic analysis, PINCER generated 0.001 extra QALYs per practice compared with simple feedback, at £4.20 less per practice. Despite this extremely small set of differences in costs and outcomes, PINCER dominated simple feedback with a mean ICER of -£3,936 (standard error £2,970). At a ceiling 'willingness-to-pay' of £20,000/QALY, PINCER reaches 59 % probability of being cost effective.

CONCLUSIONS

PINCER produced marginal health gain at slightly reduced overall cost. Results are uncertain due to the poor quality of data to inform the effect of avoiding errors.

Cost-effectiveness of asenapine in the treatment of bipolar disorder in Canada

BACKGROUND

Bipolar disorder (BPD) is prevalent and is associated with a significant economic burden. Asenapine, the first tetracyclic antipsychotic approved in Canada for the treatment of BPD, has shown a comparable efficacy profile to other atypical antipsychotics. In addition, it is associated with a favourable metabolic profile and minimal weight gain potential. This study aimed to assess the economic impact of asenapine compared to olanzapine in the treatment of BPD in Canada.

METHODS

A decision tree combined with a Markov model was constructed to assess the cost-utility of asenapine compared with olanzapine. The decision tree takes into account the occurrence of extrapyramidal symptoms (EPS), the probability of switching to a different antipsychotic, and the probability of gaining weight. The Markov model takes into account long-term metabolic complications including diabetes, hypertension, coronary heart diseases (CHDs), and stroke. Analyses were conducted from both a Canadian Ministry of Health (MoH) and a societal perspective over a five-year time horizon with yearly cycles.

RESULTS

In the treatment of BPD, asenapine is a dominant strategy over olanzapine from both a MoH and a societal perspective. In fact, asenapine is associated with lower costs and more quality-adjusted life years (QALYs). Results of the probabilistic sensitivity analysis indicated that asenapine remains a dominant strategy in 99.2% of the simulations, in both a MoH and a societal perspective, and this result is robust to the many deterministic sensitivity analyses performed.

CONCLUSIONS

This economic evaluation demonstrates that asenapine is a cost-effective strategy compared to olanzapine in the treatment of BPD in Canada.

Cost-effectiveness of ethyl-eicosapentaenoic acid in the treatment of bipolar disorder

BACKGROUND

This study develops an economic model to evaluate the cost-effectiveness of ethyl-eicosapentaenoic acid (ethyl-EPA) as an adjunct treatment of bipolar I disorder.

METHODS

A 1-year Markov model is used incorporating three health states: euthymic, manic and depressive. The model was populated using outcomes from a clinical trial on clinical efficacy and other published literature.

RESULTS

The incremental cost-effectiveness ratio (ICER) per quality-adjusted life year (QALY) of ethyl-EPA in comparison with placebo was estimated to be -£2,782 in 2008/09 prices, the negative ICER indicating ethyl-EPA to be a more effective and less costly treatment option than placebo in terms of cost savings of other resource use.

CONCLUSIONS

The sensitivity analysis indicated that the results were robust. Future research covering a longer time period using broader costs of the disease will be required to consolidate these findings.

A decision analysis of long-term lithium treatment and the risk of renal failure

OBJECTIVE

To establish whether lithium or anticonvulsant should be used for maintenance treatment for bipolar affective disorder (BPAD) if the risks of suicide and relapse were traded off against the risk of end-stage renal disease (ESRD).

METHOD

Decision analysis based on a systematic literature review with two main decisions: (1) use of lithium or at treatment initiation and (2) the potential discontinuation of lithium in patients with chronic kidney disease (CKD) after 20 years of lithium treatment. The final endpoint was 30 years of treatment with five outcomes to consider: death from suicide, alive with stable or unstable BPAD, alive with or without ESRD.

RESULTS

At the start of treatment, the model identified lithium as the treatment of choice. The risks of developing CKD or ESRD were not relevant at the starting point. Twenty years into treatment, lithium still remained treatment of choice. If CKD had occurred at this point, stopping lithium would only be an option if the likelihood of progression to ESRD exceeded 41.3% or if anticonvulsants always outperformed lithium regarding relapse prevention.

CONCLUSION

At the current state of knowledge, lithium initiation and continuation even in the presence of long-term adverse renal effects should be recommended in most cases.

Cost effectiveness of quetiapine in patients with acute bipolar depression and in maintenance treatment after an acute depressive episode

BACKGROUND

Bipolar disorder has a significant impact upon a patient's quality of life, imposing a considerable economic burden on the individual, family members and society as a whole. Several medications are indicated for the acute treatment of mania and depression associated with bipolar disorder as well as for maintenance therapy; however, these have varying efficacy, tolerability and costs.

OBJECTIVE

The objective of this study was to develop a new discrete-event simulation model to analyse the long-term consequences of pharmacological therapy for the management of bipolar I and II disorders (acute treatment of episodes of mania and depression as well as maintenance therapy).

METHODS

Probabilities of remission and relapse were obtained from clinical trial data and meta-analyses. Costs (year 2011 values) were assessed from a UK healthcare payer's perspective, and included pharmacological therapy and resource use associated with the treatment of mood events and selected adverse events. The health effects were measured in terms of QALYs.

RESULTS

For a patient starting with acute depression or in remission at 40 years of age (which was the average age in the clinical trials), quetiapine 300 mg/day was a cost-effective strategy compared with olanzapine 15 mg/day over a 5-year time frame. With acute bipolar depression as a starting episode, the 5-year medical costs were £323 higher and QALYs were 0.038 higher for quetiapine compared with olanzapine, corresponding to a cost-effectiveness ratio of £8600 per QALY gained.

CONCLUSION

Compared with olanzapine, the results suggest that quetiapine is cost effective as a maintenance treatment for bipolar depression.

Metabolic effects and cost-effectiveness of aripiprazole versus olanzapine in schizophrenia and bipolar disorder

OBJECTIVE

To assess the cost-effectiveness of aripiprazole versus olanzapine in the treatment of patients with schizophrenia or bipolar disorder in Sweden with focus on the metabolic impact of the treatments.

METHOD

A Markov health-state transition model was developed. The risks of developing metabolic syndrome after one year of treatment with aripiprazole or olanzapine were derived from a pooled analysis of three randomised clinical trials. The subsequent risks of developing diabetes or coronary heart disease were based on previously published risk models. A societal perspective was applied, adopting a lifetime horizon. Univariate and probabilistic sensitivity analyses were conducted.

RESULTS

Treatment with aripiprazole dominates over olanzapine in both schizophrenia and bipolar disorder. In schizophrenia, quality-adjusted life-years (QALYs) gained were 0.08 and cost savings Swedish kronor (SEK) 30,570 (USD 4000); in bipolar disorder, QALYs gained were 0.09 and cost savings SEK 28,450 (USD 3720). In probabilistic sensitivity analyses, aripiprazole resulted in a dominant outcome in 84% of cases in schizophrenia and in 77% of cases in bipolar syndrome.

CONCLUSION

The significantly lower risk of developing metabolic syndrome observed with aripiprazole compared with olanzapine is associated with less risk of diabetes and cardiovascular morbidity and mortality that translates into lower overall treatment cost and improved quality of life over time.

Predictors of health-related quality-of-life utilities among persons with posttraumatic stress disorder

OBJECTIVES

This study had two objectives: to elicit preferences for current health in a sample of persons with posttraumatic stress disorder (PTSD ) in order to establish quality-of-life estimates for this disorder and to identify symptoms and problems that predict these estimates.

METHODS

The authors used the standard gamble (SG), time tradeoff (TTO), and visual analog scale (VAS) methods for quality-of-life estimation at baseline among 184 individuals with chronic PTSD who were participating in a multisite clinical trial. Descriptive statistics were used to characterize quality-of-life estimates for the sample. A linear mixed-effects regression model was conducted to evaluate predictors of quality of life.

RESULTS

The modal participant was a single, white female (77%). The mean ± SD age of the sample was 37.31 ± 11.33. On a scale where full health is 1.0 and death is 0.0, mean quality-of-life estimates for living with PTSD were .87 ±.25, .66 ± .28, and .64 ± .20 for SG, TTO, and VAS, respectively. Linear mixed-effects model regression revealed that elicitation method (SG, TTO, and VAS), arousal (a symptom of PTSD), and endorsement of anxiety or depressive symptoms were the strongest predictors of lower quality-of-life scores. Avoidance and re-experiencing of trauma were not predictive of reduced quality of life.

CONCLUSIONS

Significant decrements in health-related quality of life were found among persons seeking treatment for PTSD. Although arousal and anxiety and depressive symptoms were predictive of quality-of-life estimates, avoidance and re-experiencing were not. These findings identify targets for symptom resolution that may improve quality of life among persons with PTSD.

Factors that affect adherence to bipolar disorder treatments: a stated-preference approach

BACKGROUND

Medication nonadherence is high among patients with bipolar disorder, and may lead to poor clinical outcomes, decreased quality of life, and increased resource utilization.

OBJECTIVE

To investigate the factors associated with nonadherence and to assess the effect of patient-stated preferences on stated adherence to hypothetical medications.

RESEARCH DESIGN

A choice-format stated-preference Web survey was administered. In each choice question, patients were asked to choose among 2 or 3 different hypothetical medications. Each choice question was followed by a question asking patients about their likely adherence to the selected medication alternative.

SUBJECTS

Patients (N = 469) with self-reported bipolar disorder completed the survey which was programmed and administered to members of a chronic-illness Web panel.

MEASURES

Factors associated with stated adherence to current treatment were identified. The effects of socioeconomic characteristics and medication attributes on stated adherence to hypothetical medications were assessed.

RESULTS

Patient socioeconomic characteristics affect patients' adherence. Being white and having more education has a significant positive effect on adherence. Self-reported current adherence is a strong factor in predicting adherence for better medications. Medication outcome attributes, especially severity of depressive episodes, strongly influence patients' stated adherence to treatment. Weight gain and cognitive effects of a medication most significantly affected patients' likely adherence to medications for bipolar disorder.

CONCLUSIONS

Patients are the final health care decision makers; their satisfaction with a medication is likely to affect whether or not they adhere to the medication prescribed by their physician. In the case of bipolar disorder, this study suggests patients are likely to be more adherent to medications that reduce the severity of depressive episodes and do not cause weight gain or cognitive side effects. By understanding the factors that improve adherence, health care providers can optimize prescribing patterns, which may ultimately lead to more effective management and improvement in the patient's condition.

Health-related quality of life measured with EQ-5D in patients treated for depression in primary care

OBJECTIVE

The objective of the present study was to assess the impact of depression on patients' health-related quality of life (HRQL) with the EQ-5D instrument over 6 months while on antidepressant treatment.

METHODS

A total of 447 patients were recruited at 56 primary care centers to this naturalistic longitudinal observational study. Patients older than 18 years with depressive symptoms, and who initiated an antidepressant therapy because of depression were included in the study. Data on patients' sociodemographics, daily activity, and quality of life (EQ-5D) were collected using questionnaires completed during outpatient general practitioner visits for a follow-up period of 6 months.

RESULTS

The mean EQ-5D utility score at baseline was 0.47 (0.44-0.49). Milder cases of depression reported a health utility of 0.60, whereas moderately and severely depressed patients reported utility values of 0.46 and 0.27, respectively (P < 0.01). At end of follow up the average utility was 0.69 (0.67-0.72), corresponding to an increase of 0.23 over 6 months (P < 0.01). Regression analyses showed that, all else equal, patients who were on sick leave were associated with 10% lower utility.

CONCLUSIONS

Depression has a substantial impact on HRQL. Our results indicate that treatments for depression are associated with significant improvement in EQ-5D index score over a course of 6 months. Self-reported patient valuations are important outcomes for cost-utility analysis of new treatments for depression and the present study provides important evidence for future economic evaluations.

Economics of atypical antipsychotics in bipolar disorder: a review of the literature

Economic evaluations are increasingly being used by policy makers to evaluate the relative costs and benefits of healthcare interventions. These analyses provide economic and clinical evidence to decision makers seeking to make recommendations on treatment alternatives for patients. This article describes the economic evidence on the atypical antipsychotics currently approved for the treatment of bipolar disorder. This area remains under-researched. A literature search identified only six relevant studies of atypical antipsychotics in bipolar disorder: two retrospective database analyses, three economic analyses alongside clinical trials and one cost-effectiveness analysis. Based on the limited available studies, there appears to be no significant difference in healthcare resource use between olanzapine, quetiapine, risperidone and valproate semisodium (divalproex sodium; an antiepileptic drug and a standard treatment for mania associated with bipolar disorder). While a cost-effectiveness study for the UK found haloperidol (a conventional antipsychotic) to be more cost effective than atypical antipsychotics, these results must be considered with caution because of the non-inclusion of adverse effects in the model. No economic data are available for aripiprazole, clozapine or ziprasidone in bipolar disorder. Until more economic evidence becomes available, the economic implications of atypical antipsychotic treatment in patients with bipolar disorder are unlikely to significantly impact on prescribing and treatment patterns. Future economic studies evaluating atypical antipsychotics in bipolar disorder should address the issue of long-term costs and effectiveness to reflect the chronic nature of the disease, the variety of health states that patients may experience and the range of treatments they may receive. A better understanding of the complex interplay between effectiveness, safety, quality of life, adherence and resource use should ultimately contribute to improving the treatment of bipolar disorder.