The health value and cost of care for major depression

Internet-delivered cognitive behavioural therapy for insomnia disorder in depressed patients treated at an outpatient clinic for mood disorders: protocol of a randomised controlled trial

BACKGROUND

Major depression is a highly prevalent disorder causing severe personal distress, and high societal costs. Patients with depression often have comorbid insomnia disorder (ID) leading to even worse personal distress and worse treatment outcomes. Recent results from a non-randomised pilot study with internet-delivered Cognitive Behavioural Therapy (CBTi) for Insomnia (I-Sleep) added to regular depression care were promising regarding feasibility and initial effects on insomnia complaints and depression. However, no randomised controlled trial (RCT) has been performed yet to access the (cost-) effectiveness of I-Sleep for depression. Therefore, this protocol article presents the design of an RCT aimed to assess the (cost-) effectiveness of I-Sleep in addition to usual care for depression compared to usual care alone in depressed patients with a comorbid Insomnia Disorder (ID) treated at outpatient clinics for mood disorders.  METHODS /DESIGN: This is a multi-centre RCT with measurements at baseline and at 3, 6, 9, and 12 months of follow-up. Patients with depression and an ID are randomised to either I-Sleep treatment followed by regular depression care or to regular depression care alone. Our aim is to recruit one hundred and seventy-five patients from multiple outpatient clinics for mood disorders. The primary outcome is the change in depressive symptoms over 12 months of follow-up measured with the Patient Health Questionnaire (PHQ-9). Secondary outcomes are recovery from depression (PHQ-9), insomnia severity (Insomnia Severity Index, ISI), daily functioning (Work and Social Adjustment Scale, WSAS), general quality of life (EuroQol 5-level version, EQ-5D-5L), and societal costs (Adapted versions of the iMTA Productivity Cost Questionnaire, iPCQ and iMTA Medical Cost Questionnaire, iMCQ).

DISCUSSION

We hypothesize that the addition of I-Sleep to usual care will result in a significant improvement in depression treatment outcomes and quality of life as well as a decrease in healthcare and societal costs compared to usual care alone. This study is the first pragmatic RCT evaluating the effectiveness and cost-effectiveness of adding CBTi to usual care for depression.

TRIAL REGISTRATION

Netherlands Trial Register (NL8955). Registered on October 6^th2020. https://trialsearch.who.int/Trial2.aspx?TrialID=NL8955.

Psychometric properties of the EQ-5D-5L in patients with major depression: factor analysis and Rasch analysis

BACKGROUND

The EQ-5D is one of the most recommended questionnaires for cost-effectiveness studies.

AIMS

To study the psychometric properties of the EQ-5D-5L in patients with major depression.

METHODS

This prospective observational study included 433 patients with major depression who completed the EQ-5D-5L and Patient Health Questionnaire-9 (PHQ-9) questionnaires at baseline, of whom 310 also did six months later. The structural validity was assessed by confirmatory factor analysis, the item functioning by item response analysis, and reliability by Cronbach's alpha. Convergent validity and known-groups validity was studied using the PHQ-9 and a general health question. To assess responsiveness effect sizes were calculated.

RESULTS

The results supported the unidimensionality and showed adequate item functioning, with somewhat age-related item differential functioning for the mobility dimension. Cronbach's alpha was 0.77. The EQ-5D-5L showed a high correlation with the PHQ-9 and general health. The more severe the depression level and the poorer the general health, the lower the EQ-5D-5L scores (p < 0.001). Responsiveness parameters showed moderate changes among "improved" patients.

CONCLUSIONS

These findings support the adequate psychometric properties of the EQ-5D-5L in patients with major depression. It could be very useful for clinicians and researchers as an outcome measure and for use in economic evaluation.

A Cost Comparison of Infliximab Versus Intravenous Immunoglobulin for Refractory Kawasaki Disease Treatment

BACKGROUND AND OBJECTIVES

In 10% to 20% of cases, Kawasaki disease is refractory to intravenous immunoglobulin (IVIg), an expensive medication under a national shortage. Data suggest that infliximab is a viable alternative to a second dose of IVIg, with similar efficacy and safety. We compared the cost of a second IVIg dose to that of infliximab in the treatment of refractory Kawasaki disease (rKD).

METHODS

A decision analysis model was used to compare rKD treatments: a second dose of IVIg at 2 g/kg versus infliximab at 10 mg/kg. Infliximab monitoring times were 24, 36, and 48 hours. Direct hospital costs beginning at rKD diagnosis were estimated by using 2016-2017 Truven MarketScan data. Redbook was used for drug costs. Calculations were applied to 3 hypothetical cohorts of 100 patients aged 2 (12.5 kg), 4 (16 kg), and 8 years (25.5 kg). Indirect costs included parental missed workdays.

RESULTS

The total direct cost for children receiving IVIg was $1 677 801, $1 791 652, and $2 100 675 for the 2-, 4-, and 8-year-old cohorts. The direct cost of infliximab with 24 hours of monitoring was $853 042, $899 096, and $1 024 101, respectively. A 20% bidirectional sensitivity analysis revealed stability of our model, with overall cost savings with use of infliximab. With monitoring 48 hours after infliximab treatment, 20% changes in length of stay (LOS) tipped the balance for the 2- and 4-year-old cohorts. Overall, IVIg and infliximab LOS had the most influence on our model.

CONCLUSIONS

Infliximab has potential to yield shorter LOS and significant cost savings in the treatment of rKD. Infliximab treatment, followed by 24 hours of monitoring, nearly halved hospital costs, regardless of age.

Assessing value in health care: using an interpretive classification system to understand existing practices based on a systematic review

BACKGROUND

Implementing adequate strategies to assess the value of health services plays a central role in the effort to deal with the financial pressures faced by health care systems worldwide. This study aimed to understand which approaches to value assessment have been used in developed countries.

METHODS

We conducted a rapid review and a gray literature search to identify value assessment frameworks. A two-stage screening process was utilized to identify existing approaches and cluster similar frameworks. In addition, we developed an interpretive classification system to make sense of existing approaches.

RESULTS

One thousand one hundred seventy-six references were identified and 38 papers were selected for full-review. Among these 38 articles, 22 distinct approaches to assess value of health care interventions were identified and classified according to four points: 1) use of single or multiple considerations to base value estimates; 2) use of disease-specific or generic criteria; 3) reliance on process-based or outcomes-based consideration; and 4) type of input and evidence considered.

CONCLUSIONS

The contextual nature of value assessment in health care becomes evident with the diversity of existing approaches. Despite the predominance of cases relying on the Incremental cost-effectiveness ratio as the measure of value, this approach has not been sufficient to meet the needs of decision-makers. The use of multiple criteria has become more and more important, as well as the consideration of patient-reported measures. Considerations of costs are not always explicit and consistent.

Does online insomnia treatment reduce depressive symptoms? A randomized controlled trial in individuals with both insomnia and depressive symptoms

BACKGROUND

Insomnia is effectively treated with online Cognitive Behavioral Therapy for Insomnia (CBT-I). Previous research has suggested the effects might not be limited to sleep and insomnia severity, but also apply to depressive symptoms. Results, however, are mixed.

METHODS

In this randomized controlled trial we investigated the effects of guided online CBT-I on depression and insomnia in people suffering from symptoms of both. Participants (n = 104) with clinical insomnia and at least subclinical depression levels were randomized to (1) guided online CBT-I and sleep diary monitoring (i-Sleep) or (2) control group (sleep diary monitoring only). The primary outcome was the severity of depressive symptoms (Patient Health Questionnaire-9 without sleep item; PHQ-WS). Secondary outcomes were insomnia severity, sleep diary parameters, fatigue, daytime consequences of insomnia, anxiety, and perseverative thinking.

RESULTS

At post-test, participants in the i-Sleep condition reported significantly less depressive symptoms (PHQ-WS) compared with participants in the sleep-diary condition (d = 0.76). Large significant effects were also observed for insomnia severity (d = 2.36), most sleep diary parameters, daytime consequences of insomnia, anxiety, and perseverative thinking. Effects were maintained at 3 and 6 month follow-up. We did not find significant post-test effects on fatigue or total sleep time.

CONCLUSIONS

Findings indicate that guided online CBT-I is not only effective for insomnia complaints but also for depressive symptoms. The effects are large and comparable with those of depression therapy.

CLINICAL TRIAL REGISTRATION NUMBER

NTR6049 (Netherlands Trial Register).

Blended vs. face-to-face cognitive behavioural treatment for major depression in specialized mental health care: study protocol of a randomized controlled cost-effectiveness trial

BACKGROUND

Depression is a prevalent disorder, associated with a high disease burden and substantial societal, economic and personal costs. Cognitive behavioural treatment has been shown to provide adequate treatment for depression. By offering this treatment in a blended format, in which online and face-to-face treatment are combined, it might be possible to reduce the number of costly face-to-face sessions required to deliver the treatment protocol. This could improve the cost-effectiveness of treatment, while maintaining clinical effects. This protocol describes the design of a pilot study for the evaluation of the feasibility, acceptability and cost-effectiveness of blended cognitive behavioural therapy for patients with major depressive disorder in specialized outpatient mental health care.

METHODS/DESIGN

In a randomized controlled trial design, adult patients with major depressive disorder are allocated to either blended cognitive behavioural treatment or traditional face-to-face cognitive behavioural treatment (treatment as usual). We aim to recruit one hundred and fifty patients. Blended treatment will consist of ten face-to-face and nine online sessions provided alternately on a weekly basis. Traditional cognitive behavioural treatment will consist of twenty weekly sessions. Costs and effects are measured at baseline and after 10, 20 and 30 weeks. Evaluations are directed at cost-effectiveness (with depression severity and diagnostic status as outcomes), and cost-utility (with costs per quality adjusted life year, QALY, as outcome). Costs will encompass health care uptake costs and productivity losses due to absence from work and lower levels of efficiency while at work. Other measures of interest are mastery, working alliance, treatment preference at baseline, depressive cognitions, treatment satisfaction and system usability.

DISCUSSION

The results of this pilot study will provide an initial insight into the feasibility and acceptability of blended cognitive behavioural treatment in terms of clinical and economic outcomes (proof of concept) in routine specialized mental health care settings, and an indication as to whether a well-powered clinical trial of blended cognitive behavioural treatment for depression in routine practice would be advisable. This will be determined based on the perspective of various stakeholders including patients, mental health service providers and health insurers. Strengths and limitations of the study are discussed.

TRIAL REGISTRATION

Netherlands Trial Register NTR4650 . Registered 18 June 2014.

Effectiveness and cost effectiveness of guided online treatment for patients with major depressive disorder on a waiting list for psychotherapy: study protocol of a randomized controlled trial

Background

Depressive disorders are highly prevalent and result in negative consequences for both patients and society. It is therefore important that these disorders are treated adequately. However, due to increased demand for mental healthcare and subsequent increased costs, it would be desirable to reduce costs associated with major depressive disorder while maintaining or improving the quality of care within the healthcare system. Introducing evidence-based online self-help interventions in mental healthcare might be the way to maintain clinical effects while minimizing costs by reducing the number of face-to-face sessions. This study aims to evaluate the clinical and economical effects of a guided online self-help intervention when offered to patients with major depressive disorder on a waiting list for psychotherapy in specialized mental health centers (MHCs).

Methods

Patients at mental health centers identified with a Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) diagnosis of major depression who are awaiting face-to-face treatment are studied in a randomized controlled trial. During this waiting list period, patients are randomized and either (1) receive an internet-based guided self-help treatment or (2) receive a self-help book. The 5-week internet-based guided self-help intervention and the self-help booklet are based on problem solving treatment. After the intervention, patients are allowed to start regular face-to-face treatment at MHCs. Costs and effects are measured at baseline, after the intervention at 6 to 8 weeks, 6 months and 12 months. The primary outcome measure is symptoms of depression. Secondary outcome measures are diagnosis of depression, number of face-to-face sessions, absence of work and healthcare uptake in general. Additional outcome measures are anxiety, insomnia, quality of life and mastery.

Discussion

This study evaluates the effectiveness and cost effectiveness of internet-based guided self-help in patients at specialized mental health centers. The aim is to demonstrate whether the introduction of internet-based self-help interventions in regular mental healthcare for depressive disorders can maintain clinical effects and reduce costs. Strengths and limitations of this study are discussed.

Trial registration

Netherlands Trial Register NTR2824

Challenging sequential approach to treatment resistant depression: cost-utility analysis based on the Sequenced Treatment Alternatives to Relieve Depression (STAR(⁎)D) trial

In major depression, when a first antidepressant does not cause remission of symptoms (60%-75%), there are several options for continuing treatment in the next step. This study is a cost-utility analysis (CUA) of different second-line approaches. In a simulated trial outpatients with MDD were treated with citalopram for 13 weeks (level 1), then based on two alternative algorithms implemented from the Sequenced Treatment Alternatives to Relieve Depression (STAR(*)D) study. Algorithm A: citalopram was continued until study endpoint (week 26). Algorithm B: patients who remitted during level 1 continued citalopram. Those who did not remit could opt for switching to another antidepressant (venlafaxine; sertraline) (b1) or adding bupropion to citalopram treatment (augmentation; b2). Algorithm B increased remission rate by 10.6% over Algorithm A (number needed to treat: 9.9; sensitivity range: 9.1-12.5). As a comparison, differences between active antidepressants and placebo are associated with NNT values of 6 to 8. In CUA Algorithm B was dominant with an ICER of $11,813 (sensitivity range=$1783 - $21,784), which is <1GDP per capita cost-effectiveness threshold (USA=$47,193). Among Algorithm B options, switching (b1) dominated Algorithm A with a smaller number of responders than augmentation approach (b2) (NNT 11 vs. 7.7), whereas ICER values were similar (b1: $14,738; b2: $15,458). However we cannot exclude a bias in selecting second treatment. This cost-utility analysis shows (in line with current guidelines) a benefit in modifying antidepressant treatment if response to first-line agent does not occur within 3 months, but not a clear-cut evidence in terms of NNT.

Cost-effectiveness comparisons between antidepressant treatments in depression: evidence from database analyses and prospective studies

BACKGROUND

Knowledge regarding the relative cost-effectiveness of different antidepressants is crucial for the planning of depression treatment. However, there have been only a small number of reviews of such evidence and synthesizing economic evidence across studies is methodologically challenging. In particular, there have been few reviews of the methods employed in database analyses (studies that use data from real-world practice).

METHODS

Published economic evaluations based on database analyses were systematically reviewed to compare antidepressant treatments in depression. Prospective studies of cost-effectiveness were also reviewed to highlight unanswered questions through comparisons between these two different study designs.

RESULTS

Forty papers met the criteria and were included. A relatively large number of industry-sponsored evaluations of escitalopram were identified and these found escitalopram to be potentially cost-effective in depression treatment. Evidence of cost-effectiveness differences between other individual SSRIs was not unequivocally established. Inconsistent findings further emerged concerning the cost-effectiveness of SSRIs versus TCAs between retrospective database analyses and prospective studies.

LIMITATIONS

Different outcome measures and cost perspectives make it difficult to make comparisons across studies.

CONCLUSIONS

Evidence regarding the cost-effectiveness of different antidepressants in depression continues to accumulate. Beyond the efficacy or tolerability data found for newer antidepressants in controlled trials, further research from real-world settings is needed to examine the relative cost-effectiveness of different antidepressant agents.

Should pharmacogenetics be incorporated in major depression treatment? Economic evaluation in high- and middle-income European countries

The serotonin transporter 5-HTTLPR polymorphism moderates response to SSRIs and side-effect burden. The aim of this study is to quantify the cost-utility of incorporating 5-HTTLPR genotyping in drug treatment of major depressive disorder (MDD). We previously reported a theoretical model to simulate antidepressant treatment with citalopram or bupropion for 12 weeks. The drugs were alternatively selected according to an 'as usual' algorithm or based on response and tolerability predicted by 5-HTTLPR profile. Here we apply this model to conduct a cost-utility analysis in three European regions with high GDP (Euro A), middle GDP (Euro B) and middle-high GDP (Euro C). In addition we test a verification scenario in which citalopram+bupropion augmentation is administered to individuals with the least favorable 5-HTTLPR genotype. Treatment outcomes are remission and Quality Adjusted-Life Weeks (QALW). Cost data (international $, year 2009) are retrieved from the World Health Organization (WHO) and national official sources. In base-case scenario incremental cost-effectiveness ratio (ICER) values are $1147 (Euro A), $1185 (Euro B) and $1178 (Euro C). From cost-effectiveness acceptability curve (CEAC), the probability of having an ICER value below WHO recommended cost-utility threshold (3 GDP per capita=$1926) is >90% in high-income countries (Euro A). In middle- income regions, these probabilities are <30% (Euro B) and <55% (Euro C) respectively. All estimates are robust against variations in treatment parameters, but if genetic test cost decreases to $100, pharmacogenetic approach becomes cost-effective in middle-income countries (Euro B). This simulation using data from 27 European states suggests that choosing antidepressant treatment from the results of 5-HTTLPR might be a cost-effective solution in high income countries. Its feasibility in middle income countries needs further research.

A model to incorporate genetic testing (5-HTTLPR) in pharmacological treatment of major depressive disorders

OBJECTIVE

To evaluate the benefit of pharmacogenetics in antidepressant treatment.

METHODS

In a simulated trial 100,000 subjects in a current episode of major depressive disorder (MDD) received citalopram or bupropion based on the clinician's decision (algorithm A) or following indications from 5-HTTLPR genetic testing (algorithm B), which effect size of was estimated from a meta-analysis of pharmacogenetic trials. A and B were compared in a cost-utility analysis (12 weeks). Costs (international $, 2010) were drawn from official sources. Treatment effects were expressed as quality-adjusted life weeks (QALWs). Outcome was incremental cost-effectiveness ratio (ICER).

RESULTS

Under base-case conditions, genetic test use was associated with increases in antidepressant response (0.062 QALWs) and tolerability (0.016 QALWs) but cost benefit was not acceptable (ICER = $2,890; $1,800-$4,091). However, when the joint effect on antidepressant response and tolerability was analyzed in two recurrent episodes, ICER dropped to $1,392 ($837-$1,982). Cost-effectiveness acceptability curve (CEAC) showed a >80% probability that ICER value fell below the commonly accepted 3 times Gross Domestic Product (GDP) threshold (World Health Organization) and therefore suggesting cost-effectiveness.

CONCLUSION

Notwithstanding some caveats (exclusion of gene-gene and gene-environment interactions; simple 5-HTTLPR architecture), this simulation is favourable to incorporate pharmacogenetic test in antidepressant treatment.

A primary care focus on the diagnosis and treatment of major depressive disorder in adults

Major depressive disorder (MDD), a highly prevalent psychiatric condition, is encountered in 1 of every 10 to 20 patients seen in the primary care setting. While awareness of MDD has increased, timely and accurate diagnosis and adequate treatment remain formidable challenges. Treatment options for patients with MDD should be individualized according to each patient's clinical and medication history, pharmacologic tolerability profile, and personal preferences, to maximize long-term adherence. The most robust and consistently maintained positive outcomes occur in patients who are administered effective treatment with recommended antidepressant pharmacotherapy, psychotherapy, or a combination of these treatment modalities. This manuscript reviews the epidemiology, biologic and clinical features, diagnosis, and treatment of patients with MDD. A focus is placed on guidelines and strategies that target the achievement of MDD symptom remission. The article also includes details on individualizing treatment selection and novel and emerging therapies. Primary care physicians must be prepared to adjust, substitute, or augment antidepressant treatments to optimize patient response and enhance the chances of achieving remission. Considerations that strongly influence long-term patient adherence, including tolerability and cost, are also reviewed.

Delivering happiness: translating positive psychology intervention research for treating major and minor depressive disorders

Despite the availability of many treatment options, depressive disorders remain a global public health problem. Even in affluent nations, 70% of reported cases either do not receive the recommended level of treatment or do not get treated at all, and this percentage does not reflect cases of depression that go unreported due to lack of access to health care, stigma, or other reasons. In developing countries, the World Health Organization estimates that <10% receive proper depression care due to poverty, stigma, and lack of governmental mental health resources and providers. Current treatments do not work for everyone, and even people who achieve remission face a high risk of recurrence and residual disability. The development of low-cost effective interventions that can serve either as initial therapy for mild symptoms or as adjunctive therapy for partial responders to medication is an immense unmet need. Positive activity interventions (PAIs) teach individuals ways to increase their positive thinking, positive affect, and positive behaviors. The majority of such interventions, which have obtained medium-size effect sizes, have been conducted with nondepressed individuals, but two randomized controlled studies in patients with mild clinical depression have reported promising initial findings. In this article, the authors review the relevant literature on the effectiveness of various types of PAIs, draw on social psychology, affective neuroscience and psychophamacology research to propose neural models for how PAIs might relieve depression, and discuss the steps needed to translate the potential promise of PAIs as clinical treatments for individuals with major and minor depressive disorders.