Economic evaluation of agomelatine relative to other antidepressants for treatment of major depressive disorders in Greece

Does a Standard Cost-Effectiveness Threshold Exist? The Case of Greece

OBJECTIVES

This study aimed to systematically review the use of cost-effectiveness (CE) threshold for evaluating pharmacological interventions in Greece.

METHODS

A systematic search of PubMed and ScienceDirect was conducted between January 2009 and June 2022. The data of selected studies were extracted using a relevant form and consequently were synthesized. Qualitative variables were presented with relative frequencies (%) and quantitative variables with median and interquartile range (IQR).

RESULTS

From the 302 identified studies, 83 satisfied the inclusion criteria. Studies were categorized to oncology (26.5%) and a nononcology related (73.5%) based on drug treatment. The most frequently reported outcome associated with CE threshold was the "per quality-adjusted life-year gained." A total of 32.5% of the studies with a reported threshold did not specify the origin of the threshold. From the rest of studies, the vast majority (92.8%) adopted thresholds equal to 1 to 3 times the gross domestic product (GDP) per capita, whereas the rest similar to National Institute for Health and Care Excellence guidelines. The median CE threshold was differentiated between oncology (€51 000 [IQR €50 000-€60 000]) and nononcology studies (€34 000 [IQR €30 000-€36 000]; P < .001). In both type of studies, the median CE thresholds were not statistically significantly different among GDP, National Institute for Health and Care Excellence, and not specified approaches.

CONCLUSIONS

Aligned with other countries where there is no standard CE threshold to promote efficient use of healthcare resources, the most prominent practice in Greece was found to be that of 1 to 3 times the GDP per capita irrespective of type of treatment or outcome studied.

How sensitive is the compensating income variation to severity and adaptation?

Knowing the monetary value individuals place on health is essential in tackling resource allocation between health and other uses. However, health conditions vary greatly, not only with respect to main characteristics but also by severity and duration. We apply the compensating income variation (CIV) method to data from the Swiss Household Panel, years 2004-2019, to explore the sensitivity of CIV estimates to severity and adaptation across five different health conditions: headaches, back problems, sleep problems, fatigue, and chronic illness. Accounting for income endogeneity in the life-satisfaction equations and adjusting for individual random effects, we found the CIV estimates to range from $3184 for moderate headaches (women) to $100,066 for severe fatigue (men). Individuals with severe conditions needed to be compensated about three times more than those suffering less. Across the five conditions with two severity levels explored for adaptation, individuals only adapted to moderate headaches and severe sleep problems. In conclusion, not only does the value of health conditions vary greatly, but within each health condition its value on average triples when severe condition is reported as opposed to moderate. Adaptation plays a minor role in CIV estimates for the five health conditions explored.

A Promising Approach to Optimizing Sequential Treatment Decisions for Depression: Markov Decision Process

The most appropriate next step in depression treatment after the initial treatment fails is unclear. This study explores the suitability of the Markov decision process for optimizing sequential treatment decisions for depression. We conducted a formal comparison of a Markov decision process approach and mainstream state-transition models as used in health economic decision analysis to clarify differences in the model structure. We performed two reviews: the first to identify existing applications of the Markov decision process in the field of healthcare and the second to identify existing health economic models for depression. We then illustrated the application of a Markov decision process by reformulating an existing health economic model. This provided input for discussing the suitability of a Markov decision process for solving sequential treatment decisions in depression. The Markov decision process and state-transition models differed in terms of flexibility in modeling actions and rewards. In all, 23 applications of a Markov decision process within the context of somatic disease were included, 16 of which concerned sequential treatment decisions. Most existing health economic models relating to depression have a state-transition structure. The example application replicated the health economic model and enabled additional capacity to make dynamic comparisons of more interventions over time than was possible with traditional state-transition models. Markov decision processes have been successfully applied to address sequential treatment-decision problems, although the results have been published mostly in economics journals that are not related to healthcare. One advantage of a Markov decision process compared with state-transition models is that it allows extended action space: the possibility of making dynamic comparisons of different treatments over time. Within the context of depression, although existing state-transition models are too basic to evaluate sequential treatment decisions, the assumptions of a Markov decision process could be satisfied. The Markov decision process could therefore serve as a powerful model for optimizing sequential treatment in depression. This would require a sufficiently elaborate state-transition model at the cohort or patient level.

The Incidence and Costs of Adverse Events Associated with Antidepressants: Results from a Systematic Review, Network Meta-Analysis and Multi-Country Economic Model

PURPOSE

There is variation in the safety profile of antidepressants. Rates of adverse events along with the costs of treating them can be an important factor influencing the choice of depression treatment. This study sought to estimate the comparative safety of commonly prescribed antidepressants, and how the costs of treating these varied across European countries.

METHODS

A systematic literature review was conducted (in Medline, Embase, PsycINFO and CENTRAL) to identify placebo-controlled trials reporting rates of at least one type of sexual dysfunction, weight change, insomnia, anxiety, and anhedonia. Eight antidepressants were considered: duloxetine, escitalopram, fluoxetine, paroxetine, sertraline, trazodone, venlafaxine, and vortioxetine. This evidence was synthesised via Bayesian random effects network meta-analyses to provide comparative estimates of safety. A systematic search identified country-specific costs of managing depression and adverse events of antidepressants. Evidence on costs and safety was combined in an economic model to provide country-specific costs for Bulgaria, the Czech Republic, Greece, Hungary, Italy, Romania, Slovakia, Portugal, and Poland.

RESULTS

Trazodone had the lowest rates of both insomnia (odds ratio 0.66, 95% credible interval 0.31 to 1.38) and anxiety (0.13, <0.01 to 1.80). All antidepressants were associated with increased rates of sexual dysfunction relative to placebo. Weight change was largest for fluoxetine (kg change -1.01, -1.40 to -0.60) and sertraline (-1.00, -1.36 to -0.65), although heterogeneity was extreme for this outcome. No evidence was identified for anhedonia. Total costs were lowest for trazodone in all nine of the countries evaluated. This was primarily due to reduced rates of treatment discontinuation.

CONCLUSION

Trazodone generally had the best safety profile of the antidepressants evaluated. This led to healthcare costs being lowest for trazodone in all nine European countries, emphasising the importance of considering rates of adverse events when choosing a pharmacological treatment to treat symptoms of depression.

Cost-utility analysis of esketamine and electroconvulsive therapy in adults with treatment-resistant depression

BACKGROUND

Electroconvulsive therapy (ECT) has long been used for treating individuals with treatment-resistant depression (TRD). Esketamine has recently emerged as a new treatment for TRD due to its rapid antidepressant effects. To further inform the decision regarding choice of treatment, this paper aims to evaluate whether ECT or esketamine is the more cost-effective option.

METHODS

The cost-effectiveness was derived as cost per quality-adjusted life-year (QALY) using a Markov model from a societal and life-time perspective. The incremental cost-effectiveness ratio (ICER) was calculated. Health states included different depression and remission states and death. Data to populate the model was derived from randomised controlled trials and other research. Various sensitivity analyses were carried out to test the robustness of the model.

RESULTS

The base case scenario shows that ECT is cost-effective compared to esketamine and yields more QALYs at a lower cost. The sensitivity analysis shows that ECT is cost-effective in all scenarios and ECT dominates esketamine in 12 scenarios.

CONCLUSIONS

This study found that, from a cost-effectiveness point of view, ECT should be the first-hand option for individuals with TRD, when other first line treatments have failed. Considering the lack of economic evaluation of ECT and esketamine, this study is of great value to decision makers.

Considering the societal perspective in economic evaluations: a systematic review in the case of depression

BACKGROUND

Depressive disorders are associated with a high burden of disease. However, due to the burden posed by the disease on not only the sufferers, but also on their relatives, there is an ongoing debate about which costs to include and, hence, which perspective should be applied. Therefore, the aim of this paper was to examine whether the change between healthcare payer and societal perspective leads to different conclusions of cost-utility analyses in the case of depression.

METHODS

A systematic literature search was conducted to identify economic evaluations of interventions in depression, launched on Medline and the Cost-Effectiveness Registry of the Tufts University using a ten-year time horizon (2008-2018). In a two-stepped screening process, cost-utility studies were selected by means of specified inclusion and exclusion criteria. Subsequently, relevant findings was extracted and, if not fully stated, calculated by the authors of this work.

RESULTS

Overall, 53 articles with 92 complete economic evaluations, reporting costs from healthcare payer/provider and societal perspective, were identified. More precisely, 22 estimations (24%) changed their results regarding the cost-effectiveness quadrant when the societal perspective was included. Furthermore, 5% of the ICURs resulted in cost-effectiveness regarding the chosen threshold (2% of them became dominant) when societal costs were included. However, another four estimations (4%) showed the opposite result: these interventions were no longer cost-effective after the inclusion of societal costs.

CONCLUSIONS

Summarising the disparities in results and applied methods, the results show that societal costs might alter the conclusions in cost-utility analyses. Hence, the relevance of the perspectives chosen should be taken into account when carrying out an economic evaluation. This systematic review demonstrates that the results of economic evaluations can be affected by different methods available for estimating non-healthcare costs.

The preclinical discovery and development of agomelatine for the treatment of depression

INTRODUCTION

Under the treatment of commonly used antidepressants, many patients with major depressive disorder (MDD) do not achieve remission. All previous first-line treatments for depression have focused on the enhancement of monoaminergic activity. Agomelatine was the first antidepressant with a mechanism of action extending beyond monoaminergic neurotransmission.

AREAS COVERED

The aim of this case history is to describe the discovery strategy and development of agomelatine. The pharmacodynamic profile of the drug is briefly presented. The article summarizes (a) the preclinical behavioral data on agomelatine's effects on depressive-like behavior, anxiety, and circadian rhythmicity disruptions, and (b) the results of early preclinical studies on safety, efficacy in MDD, and the risk-benefit pharmacological profile. Furthermore, the article examines findings of post-marketing research on safety, efficacy, and cost-effectiveness of the drug.

EXPERT OPINION

There is now evidence supporting the clinical efficacy and safety profile of agomelatine in the acute-phase treatment of MDD. Agomelatine may be more effective in specific subgroups of MDD patients, those with severe anxiety symptoms or disturbed circadian profiles. Its antidepressant and anxiolytic activities are due to synergy between its melatonergic and 5-hydroxytryptaminergic effects. Since its discovery, novel compounds acting on the melatonergic system have been under investigation for the treatment of MDD.

Analysis of Time-Course, Dose-Effect, and Influencing Factors of Antidepressants in the Treatment of Acute Adult Patients With Major Depression

OBJECTIVE

Model-based meta-analysis was used to describe the time-course and dose-effect relationships of antidepressants and also simultaneously investigate the impact of various factors on drug efficacy.

METHODS

This study is a reanalysis of a published network meta-analysis. Only placebo-controlled trials were included in this study. The change rate in depression rating scale scores from baseline was used as an efficacy indicator because a continuous variable is more likely to reflect subtle differences in efficacy between drugs.

RESULTS

A total 230 studies containing 64 346 patients were included in the analysis. The results showed that the number of study sites (single or multi-center) and the type of setting (inpatient or noninpatient) are important factors affecting the efficacy of antidepressants. After deducting the placebo effect, the maximum pure drug efficacy value of inpatients was 18.4% higher than that of noninpatients, and maximum pure drug efficacy value of single-center trials was 10.2% higher than that of multi-central trials. Amitriptyline showed the highest drug efficacy. The remaining 18 antidepressants were comparable or had little difference. Within the approved dose range, no significant dose-response relationship was observed. However, the time-course relationship is obvious for all antidepressants. In terms of safety, with the exception of amitriptyline, the dropout rate due to adverse events of other drugs was not more than 10% higher than that of the placebo group.

CONCLUSION

The number of study sites and the type of setting are significant impact factors for the efficacy of antidepressants. Except for amitriptyline, the other 18 antidepressants have little difference in efficacy and safety.

Cost–effectiveness of elagolix versus leuprolide acetate for treating moderate-to-severe endometriosis pain in the USA

Aim: To assess the cost–effectiveness of elagolix versus leuprolide acetate in women with moderate to severe endometriosis pain. Methods: A Markov model was developed. The efficacy of leuprolide acetate was derived from statistical prediction models using elagolix trial data. Model inputs were extracted from Phase III clinical trials and published literature. Results: Compared with leuprolide acetate, elagolix generated positive net monetary benefit (NMB) assuming a payer's willingness-to-pay threshold of US$100,000 per quality-adjusted life year over a 1-year time horizon: US$5660 for elagolix 150 mg and US$6443 for elagolix 200 mg. The 2-year NMBs were also positive. Conclusion: Elagolix was cost effective versus leuprolide acetate in the management of moderate to severe endometriosis pain over 1- and 2-year time horizons. Results were robust in sensitivity analyses.

Cost-Effectiveness of a Pharmacogenetic Test to Guide Treatment for Major Depressive Disorder

BACKGROUND

Recent clinical trials indicate that pharmacogenetic-guided treatment of major depressive disorder (MDD) results in higher treatment response rates by genetically matching patients to medications and avoiding a trial-and-error process.

OBJECTIVE

To evaluate the cost-effectiveness of a pharmacogenetic test (IDGx) that has demonstrated effectiveness compared with standard of care (SOC) medication management among patients with varied MDD severity.

METHODS

Data from a large prospective, randomized controlled trial of treatment-naive patients or patients with inadequately controlled MDD in general practice and psychiatric treatment settings were used to build a Markov state-transition probability model. Analyses were conducted from the societal perspective. Treatment response rates, mortality rates, direct and indirect medical costs, and utility inputs were derived from the reference study and published scientific literature. The cost of the pharmacogenetic test was $2,000. A 3% discount rate was used to discount costs and effects. Univariate one-way sensitivity analyses were performed to determine the effect of input parameters on net monetary benefit.

RESULTS

For moderate to severe MDD, the model estimated a cumulative effect over 3 years of 2.07 quality-adjusted life-years (QALYs) for the pharmacogenetic-guided treatment group and 1.97 QALYs for the SOC group, including a lower probability of death from suicide (0.328% and 0.351%, respectively). Total costs over 3 years were $44,697 (IDGx) and $47,295 (SOC). This difference includes a savings of $2,918 in direct medical costs and $1,680 in indirect costs. Results were more pronounced when only severely depressed patients were evaluated.

CONCLUSIONS

Pharmacogenetic testing among moderate to severe MDD patients improved QALYs and resulted in cost savings. Sensitivity analyses supported the robust nature of the current findings of the dominant IDGx test to guide treatment.

DISCLOSURES

Funding for this analysis was provided by AltheaDx, which is the manufacturer of the IDgenetix test. AltheaDx personnel assisted in the study design, data collection, and review of the manuscript. Maciel and Garces are employed by AltheaDx. Groessl has received funding as a consultant from American Specialty Health.

Analysis of psychotropic drug-related deaths in south Osaka

Objective

The aim of this study was to investigate the occurrence of deaths due to psychotropic drugs in south Osaka during a 10-year period and discuss societal factors from a medical viewpoint.

Methods

Psychotropic drug-related deaths were retrospectively investigated based on the forensic postmortem data of 1,746 decedents in 2005-2014, and we excluded cases in which stimulant drugs were detected. Of these, 133 cases (7.6%) were found to be psychotropic drug-related deaths and were analyzed.

Results

Psychotropic drug-related deaths occurred in 78 males (59%; age range, 14-95 years) and 55 females (41%; 20-84 years). The direct cause of death was acute drug intoxication in many cases, and of these, acute combined drug intoxication due to the use of multiple drugs accounted for 76% of the deaths. Most of these victims were found to have gastrointestinal and cardiovascular diseases. Cases of psychotropic drug-related deaths had especially poor medical conditions. In addition, tests were positive for blood alcohol in 23% of the cases.

Conclusion

The descriptive results revealed several factors that may be related to psychotropic drug-related deaths. To prevent drug abuse, several factors were deemed to be important, including improvements in the medical state of an individual, the avoidance of social isolation, and from a medical standpoint, the management of prescription drugs by medical personnel.

A compensating income variation approach to valuing 34 health conditions in Iceland

Using data from an Icelandic health-and-lifestyle survey carried out in 2007, 2009, and 2012, we employ a compensating income variation (CIV) approach to estimate the monetary value sufficient to compensate individuals for the presence of various sub-optimal health conditions. This method is inexpensive and easy on subjects and has been applied to several desiderata that do not have revealed market prices. The CIV literature is, however, still limited in its application to health and thus information about its suitability is limited. With the aim of shedding light on the method́s appropriateness we thus provide a broad-view analysis including a spectrum of diseases and conditions that can be held up against more traditionally used methods. CIV for physical conditions vary greatly, but paralysis, fibromyalgia, chronic back pain, rheumatoid arthritis, urinary incontinence, severe headache and thyroid disease were among those consistently associated with substantial well-being reductions. Mental-health results using this method should be read with caution. The societal value of health interventions is multidimensional, including for example increased productivity in the population. However, one of the main positive aspects of increased health is undoubtedly the increased well-being of the treated subjects. Such quality-of-life effects should thus preferably be taken into account. For this reason, information on the value individuals place on recovery from various sub-optimal health conditions is useful when it comes to prioritizing scarce capital in the health sector. It is therefore vital to estimate the importance individuals place on various health states and hold them up against each other. Furthermore, this paper has scientific value as it sheds light on attributes of a potentially useful method in health evaluations.

Model-Based Economic Evaluation of Treatments for Depression: A Systematic Literature Review

BACKGROUND

An increasing number of model-based studies that evaluate the cost effectiveness of treatments for depression are being published. These studies have different characteristics and use different simulation methods.

OBJECTIVE

We aimed to systematically review model-based studies evaluating the cost effectiveness of treatments for depression and examine which modelling technique is most appropriate for simulating the natural course of depression.

METHODS

The literature search was conducted in the databases PubMed, EMBASE and PsycInfo between 1 January 2002 and 1 October 2016. Studies were eligible if they used a health economic model with quality-adjusted life-years or disability-adjusted life-years as an outcome measure. Data related to various methodological characteristics were extracted from the included studies. The available modelling techniques were evaluated based on 11 predefined criteria.

RESULTS

This methodological review included 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the studies (54%) evaluated antidepressants compared with a control condition. The data sources, time horizons, cycle lengths, perspectives adopted and number of health states/events all varied widely between the included studies. DTs scored positively in four of the 11 criteria, CMMs in five, ISMs in six, and DES models in seven.

CONCLUSION

There were substantial methodological differences between the studies. Since the individual history of each patient is important for the prognosis of depression, DES and ISM simulation methods may be more appropriate than the others for a pragmatic representation of the course of depression. However, direct comparisons between the available modelling techniques are necessary to yield firm conclusions.

The estimation of utility weights in cost-utility analysis for mental disorders: a systematic review

OBJECTIVE

To systematically review approaches and instruments used to derive utility weights in cost-utility analyses (CUAs) within the field of mental disorders and to identify factors that may have influenced the choice of the approach.

METHODS

We searched the databases DARE (Database of Abstracts of Reviews of Effects), NHS EED (National Health Service Economic Evaluation Database), HTA (Health Technology Assessment), and PubMed for CUAs. Studies were included if they were full economic evaluations and reported quality-adjusted life-years as the health outcome. Study characteristics and instruments used to estimate utility weights were described and a logistic regression analysis was conducted to identify factors associated with the choice of either the direct (e.g. standard gamble) or the preference-based measure (PBM) approach (e.g. EQ-5D).

RESULTS

We identified 227 CUAs with a maximum in 2009, 2010, and 2012. Most CUAs were conducted in depression, dementia, or psychosis, and came from the US or the UK, with the EQ-5D being the most frequently used instrument. The application of the direct approach was significantly associated with depression, psychosis, and model-based studies. The PBM approach was more likely to be used in recent studies, dementia, Europe, and empirical studies. Utility weights used in model-based studies were derived from only a small number of studies.

LIMITATIONS

We only searched four databases and did not evaluate the quality of the included studies.

CONCLUSIONS

Direct instruments and PBMs are used to elicit utility weights in CUAs with different frequencies regarding study type, mental disorder, and country.