Economic implications of treatment-resistant depression among employees

Assessment of health-related quality of life and health status in patients with treatment-resistant depression treated with esketamine nasal spray plus an oral antidepressant

BACKGROUND

Patients with treatment-resistant depression (TRD) report significant deficits in physical and mental health, as well as severely impaired health-related quality of life (HRQoL) and functioning. Esketamine effectively enhances the daily functioning in these patients while also improving their depressive symptoms. This study assessed HRQoL and health status of patients with TRD, who were treated with esketamine nasal spray and an oral antidepressant (ESK + AD) vs. placebo nasal spray and an AD (AD + PBO).

METHODS

Data from TRANSFORM-2, a phase 3, randomized, double-blind, short-term flexibly dosed study, were analyzed. Patients (aged 18-64 years) with TRD were included. The outcome assessments included the European Quality of Life Group, Five Dimension, Five Level (EQ-5D-5L), EQ-Visual Analogue Scale (EQ-VAS), and Sheehan Disability Scale (SDS). The health status index (HSI) was calculated using EQ-5D-5L scores.

RESULTS

The full analysis set included 223 patients (ESK + AD: 114; AD + PBO: 109; mean [SD] age: 45.7 [11.89]). At Day 28, a lower percentage of patients reported impairment in the ESK + AD vs. AD + PBO group in all five EQ-5D-5L dimensions: mobility (10.6% vs. 25.0%), self-care (13.5% vs. 32.0%), usual activities (51.9% vs. 72.0%), pain/discomfort (35.6% vs. 54.0%), and anxiety/depression (69.2% vs. 78.0%). The mean (SD) change from baseline in HSI at Day 28 was 0.310 (0.219) for ESK + AD and 0.235 (0.252) for AD + PBO, with a higher score reflecting better levels of health. The mean (SD) change from baseline in EQ-VAS score at Day 28 was greater in ESK + AD (31.1 [25.67]) vs. AD + PBO (22.1 [26.43]). The mean (SD) change in the SDS total score from baseline to Day 28 also favored ESK + AD (-13.6 [8.31]) vs. AD + PBO (-9.4 [8.43]).

CONCLUSIONS

Greater improvements in HRQoL and health status were observed among patients with TRD treated with ESK + AD vs. AD + PBO.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02418585.

The impact of early remission on disease trajectory and patient outcomes in major depression disorder (MDD): A targeted literature review and microsimulation modeling approach based on the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study

BACKGROUND

While literature has suggested that the duration of a major depressive episode (MDE) may affect both symptomatic and functional outcomes in major depressive disorder (MDD), study designs are limited in their ability to isolate a causal relationship.

METHODS

A targeted literature review was conducted using the MEDLINE database to assess whether there was an association between (1) shorter duration of an MDE, or (2) increased rapidity of symptom improvement, and MDD outcomes in adult patients. Given findings from the literature, we hypothesized that rapid symptom improvement could be associated with other longer-term clinical outcomes and used a previously-developed microsimulation model to test this hypothesis. The base case of the model replicated step-therapy treatment patterns, for 10,000 simulated patients, based on lines of therapy related to standard of care, observed remission rates, and observed time to relapse from the STAR*D study. In alternative scenario analyses, the step 1 remission rate was varied by +25 % and +50 % from the base case value to simulate the potential impact of improved earlier remission on disease trajectory and patient-level clinical outcomes.

RESULTS

The literature review (N = 35 studies) suggests a statistically significant relationship between the duration of MDE or early symptom improvement and MDD outcomes. The microsimulation model corroborated these findings and demonstrated that increasing the rate of remission in step 1 results in patients experiencing decreased number of treatment steps, faster time to remission, decreased rate of reaching treatment-resistant depression, and delayed time to relapse.

LIMITATIONS

Rates of relapse in STAR*D were deemed unreliable due to the high-loss of follow-up; rates of relapse for the MDD DTM were instead derived using parametric extrapolation methods (i.e., exponential, Weibull, log-logistic, Gaussian, log-normal, logistic). Adherence to treatment was assumed to be 100 %; however, non-adherence is expected to result in lower cumulative remission rates.

CONCLUSION

Findings from the literature, coupled with quantification through a novel microsimulation model, demonstrate the potential impact of increased remission on disease trajectory and patient outcomes in MDD. While additional analyses with the model may be warranted to explore the impact of novel interventions on population health, including long-term outcomes (i.e., 5-year follow-up, lifetime follow-up), efforts by clinicians to increase remission early in the disease trajectory may improve long-term outcomes.

Clinical research challenges posed by difficult-to-treat depression

Approximately one-third of individuals in a major depressive episode will not achieve sustained remission despite multiple, well-delivered treatments. These patients experience prolonged suffering and disproportionately utilize mental and general health care resources. The recently proposed clinical heuristic of 'difficult-to-treat depression' (DTD) aims to broaden our understanding and focus attention on the identification, clinical management, treatment selection, and outcomes of such individuals. Clinical trial methodologies developed to detect short-term therapeutic effects in treatment-responsive populations may not be appropriate in DTD. This report reviews three essential challenges for clinical intervention research in DTD: (1) how to define and subtype this heterogeneous group of patients; (2) how, when, and by what methods to select, acquire, compile, and interpret clinically meaningful outcome metrics; and (3) how to choose among alternative clinical trial design options to promote causal inference and generalizability. The boundaries of DTD are uncertain, and an evidence-based taxonomy and reliable assessment tools are preconditions for clinical research and subtyping. Traditional outcome metrics in treatment-responsive depression may not apply to DTD, as they largely reflect the only short-term symptomatic change and do not incorporate durability of benefit, side effect burden, or sustained impact on quality of life or daily function. The trial methodology will also require modification as trials will likely be of longer duration to examine the sustained impact, raising complex issues regarding control group selection, blinding and its integrity, and concomitant treatments.

Economic impact of treatment-resistant depression: A retrospective observational study

BACKGROUND

To determine the incidence of Treatment-Resistant Depression (TRD) in Spain and to estimate its economic burden, using real world data.

METHODS

A retrospective, observational-study was carried out using data from the BIG-PAC database®. Patients aged ≥18 years with a diagnosis of major depressive-disorder (MDD) who initiated a new antidepressant treatment in 2015-2017 were included. The patients were classified as TRD and non-TRD. Patients were classified as TRD if they had, during the first year of antidepressant treatment: a) failure with ≥2 antidepressants including the prescription of ≥3 antidepressants (N06A) or ≥2 antidepressant and ≥1 antipsychotic (N05A; including lithium) b) antidepressants administered for ≥ 4 weeks each, and c) the time between the end of one treatment and the initiation of the next was ≤ 90 days. Inherent limitations of data collection from databases should also be considered in this analysis (e.g., lack of information about adherence to treatment). Follow-up period: 18 months. The incidence rate was calculated as the number of TRD patients per 1,000 persons-year divided by the population attended.

OUTCOMES

direct healthcare and indirect costs. Two sensitivity analyses were performed varying the index date and the period used to define TRD patients (6 vs.12 months).

RESULTS

21,630 patients with MDD aged ≥ 18 years (mean age: 53.2 years; female: 67.2%) were analyzed, of whom 3,559 met TRD criteria, yielding a 3-year cumulative incidence of 16.5% (95%CI: 16%-17%) among MDD patients. The annual population incidence rate of TRD in 2015-2017, was 0.59, 1.02 and 1.18/1,000 person-years, respectively (mean: 0.93/1,000 person-year). Overall, mean total costs per MDD patient were €4,147.9, being higher for TRD than for non-TRD patients (€6,096 vs. €3,846; p<0.001): a) direct costs (€1,341 vs. €624; p<0.001), b) lost productivity (€1,274 vs. €821; p<0.001) and c) permanent disability (€3,481 vs. €2,401; p<0.001, adjusted). Sensitivity analyses showed no differences with the reported results.

CONCLUSIONS

The population based TRD incidence in Spain was similar to recent data from other European countries. TRD is associated with greater resource use and higher costs compared with non-TRD patients.

Economic Burden of Treatment-Resistant Depression among Adults with Chronic Non-Cancer Pain Conditions and Major Depressive Disorder in the US

OBJECTIVE

Major depressive disorder (MDD) and chronic non-cancer pain conditions (CNPC) often co-occur and exacerbate one another. Treatment-resistant depression (TRD) in adults with CNPC can amplify the economic burden. This study examined the impact of TRD on direct total and MDD-related healthcare resource utilization (HRU) and costs among commercially insured patients with CNPC and MDD in the US.

METHODS

The retrospective longitudinal cohort study employed a claims-based algorithm to identify adults with TRD from a US claims database (January 2007 to June 2017). Costs (2018 US$) and HRU were compared between patients with and without TRD over a 12-month period after TRD/non-TRD index date. Counterfactual recycled predictions from generalized linear models were used to examine associations between TRD and annual HRU and costs. Post-regression linear decomposition identified differences in patient-level factors between TRD and non-TRD groups that contributed to the excess economic burden of TRD.

RESULTS

Of the 21,180 adults with CNPC and MDD, 10.1% were identified as having TRD. TRD patients had significantly higher HRU, translating into higher average total costs (US$21,015_TRD vs US$14,712_{No TRD}) and MDD-related costs (US$1201_TRD vs US$471_{No TRD}) compared with non-TRD patients (all p < 0.001). Prescription drug costs accounted for 37.6% and inpatient services for 30.7% of the excess total healthcare costs among TRD patients. TRD patients had a significantly higher number of inpatient (incidence rate ratio [IRR] 1.30, 95% CI 1.14-1.47) and emergency room visits (IRR 1.21, 95% CI 1.10-1.34) than non-TRD patients. Overall, 46% of the excess total costs were explained by differences in patient-level characteristics such as polypharmacy, number of CNPC, anxiety, sleep, and substance use disorders between the TRD and non-TRD groups.

CONCLUSION

TRD poses a substantial direct economic burden for adults with CNPC and MDD. Excess healthcare costs may potentially be reduced by providing timely interventions for several modifiable risk factors.

Clinical and demographic predictors of response to anodal tDCS treatment in major depression disorder (MDD)

Transcranial direct current stimulation (tDCS) of the prefrontal cortex is known as a promising intervention in major depression disorder (MDD). However, limited information on predictors of therapeutic response to tDCS are available. This study aimed to investigate clinical and demographic predictors of therapeutic response in patients taking no medications. For this purpose, the required data were collected from 2 independent tDCS trials on 116 MDD patients. Accordingly, 84 patients underwent 10 sessions of 2 mA tDCS daily each one lasted for 20 min and 32 patients received 10 twice sessions of 2 mA tDCS daily each one lasted for 20 min. Anodal electrode was located over the left dorsolateral prefrontal cortex (DLPFC), and cathode was over the right supraorbital region. Depression symptoms and the underlying clinical dimensions were assessed using the Beck Depression Inventory (BDI-II) at baseline and after the tDCS treatment. Of the included 116 patients, 47.4% showed an antidepressant response. Results of logistic regression analysis showed that the reduction in BDI-II scores after tDCS was associated with the baseline values of cognitive-affective symptoms factor, loss of pleasure, loss of interest, and sleep problems. Pronounced sleep disturbances and cognitive-affective symptoms were identified as the potential clinical predictors of response to tDCS. However, more prospective tDCS studies are necessary to validate the predictive value of the derived model.

Using a machine learning approach to investigate factors associated with treatment-resistant depression among adults with chronic non-cancer pain conditions and major depressive disorder

OBJECTIVE

Presence of chronic non-cancer pain conditions (CNPC) among adults with major depressive disorder (MDD) may reduce benefits of antidepressant therapy, thereby increasing the possibility of treatment resistance. This study sought to investigate factors associated with treatment-resistant depression (TRD) among adults with MDD and CNPC using machine learning approaches.

METHODS

This retrospective cohort study was conducted using a US claims database which included adults with newly diagnosed MDD and CNPC (January 2007-June 2017). TRD was identified using a clinical staging algorithm for claims data. Random forest (RF), a machine learning method, and logistic regression was used to identify factors associated with TRD. Initial model development included 42 known and/or probable factors that may be associated with TRD. The final refined model included 20 factors.

RESULTS

Included in the sample were 23,645 patients (73% female mean age: 55 years; 78% with ≥2 CNPC, and 91% with joint pain/arthritis). Overall, 11.4% adults (N = 2684) met selected criteria for TRD. The five leading factors associated with TRD were the following: mental health specialist visits, polypharmacy (≥5 medications), psychotherapy use, anxiety, and age. Cross-validated logistic regression model indicated that those with TRD were younger, more likely to have anxiety, mental health specialist visits, polypharmacy, and psychotherapy use with adjusted odds ratios (AORs) ranging from 1.93 to 1.27 (all ps < .001).

CONCLUSION

Machine learning identified several factors that warrant further investigation and may serve as potential targets for clinical intervention to improve treatment outcomes in patients with TRD and CNPC.

Prescriber Attitudes, Experiences, and Proclivities Toward Digital Medicine and How They Influence Adoption of Digital Medicine Platforms

BACKGROUND

Psychiatric prescribers (prescribers) typically assess medication adherence by patient or caregiver self-report. Despite likely clinical benefit of a new digital medicine technology, the role of specific prescriber attitudes, behaviors, and experiences in the likelihood of adoption is unclear.

OBJECTIVE

To identify prescriber characteristics that may affect adoption of the ingestible event marker (IEM) platform.

DESIGN

A survey of prescribers treating seriously mentally ill patients was conducted. Factor analysis was performed on 11 items representing prescriber characteristics believed to be related to endorsement of the IEM platform. Four factors were extracted. Regression analysis was used to test the strength of the relationships between the factors and likelihood of adoption of the IEM platform.

RESULTS

A total of 131 prescribers completed the survey. Most (84%) agreed that visits allow enough time to monitor adherence. Factor analysis revealed four underlying dimensions: 1) perspectives on the value of adherence; 2) concerns about measuring adherence; 3) views toward digital health technologies; and 4) views on payer role/reimbursement. Factors 1 and 3 were related to gender, the belief that computerization benefits prescribers, the presence of office support staff, and the belief that new digital medicine (DM) technology will be cost prohibitive. Willingness to adopt the IEM platform was related to gender (p < 0.05) and perspectives on the value of adherence (p < 0.05), with those scoring higher on that measure also being more likely to adopt.

CONCLUSION

Psychiatric prescribers are concerned about medication adherence, perceive current monitoring tools to be problematic, and are open to using digital technologies to improve accuracy of adherence assessment. Relationships among prescriber characteristics, beliefs, and experiences should be considered when developing educational materials, particularly when the goal is to encourage adoption and use of the IEM platform.

Burden of Treatment Resistant Depression (TRD) in patients with major depressive disorder in Ontario using Institute for Clinical Evaluative Sciences (ICES) databases: Economic burden and healthcare resource utilization

INTRODUCTION

The burden of treatment-resistant depression (TRD) in Canada requires empirical characterization to better inform clinicians and policy decision-making in mental health. Towards this aim, this study utilized the Institute for Clinical Evaluative Sciences (ICES) databases to quantify the economic burden and resource utilization of Patients with TRD in Ontario.

METHODS

TRD, Non-TRD Major Depressive Disorder (Non-TRD MDD) and Non-MDD cohorts were selected from the ICES databases between April 2006-March 2015 and followed-up for at least two years. TRD was defined as a minimum of two treatment failures within one-year of the index MDD diagnosis. Non-TRD and Non-MDD patients were matched with patients with TRD to analyze costs, resource utilization, and demographic information.

RESULTS

Out of 277 patients with TRD identified, the average age was 52 years (SD 16) and 53% were female. Compared to Non-TRD, the patients with TRD had more all-cause visits to outpatient (38.2 vs. 24.2) and emergency units (2.7 vs. 2.0) and more depression-related visits to GPs (3.06 vs. 1.63) and psychiatrists (5.88 vs. 1.95) (all p < 0.05). The average two-year cost for TRD patients was $20,998 (CAD).

LIMITATIONS

This study included patients with only public plan coverage; therefore, overall TRD population and cash and private claims were not captured.

CONCLUSIONS

Patients with TRD exhibit a significantly higher demand on healthcare resources and higher overall payments compared to Non-TRD patients. The findings suggest that there are current challenges in adequately managing this difficult-to-treat patient group and there remains a high unmet need for new therapies.

The Association between Patient Activation and Outcomes among Severely Mentally Ill Patients

Little is known about the association between patient activation, health, service utilization, and cost among mental health (MH) patients. Patients aged 18 to 64 with schizophrenia (Sz, n = 43), bipolar disorder (BD, n = 59), or major depressive disorder (MDD, n = 34) completed the Patient Activation Measure for Mental Health (PAM-MH), the Colorado Symptom Index, demographic, socioeconomic, treatment, and social support questionnaire items. Average PAM-MH score indicated BD patients the most activated (66.6 ± 17.5), Sz (57.4 ± 10.4) less activated, and MDD the least activated (55.4 ± 14.6). The MDD cohort had the highest ($27,616 ± 26,229) and the BD had the lowest total annual healthcare cost ($18,312 ± 25,091). PAM-MH score was inversely correlated with healthcare costs and regression analysis showed a PAM-MH score × gender interaction. The strongest negative relationship between PAM and cost was for males. These analyses support the inverse association between PAM-MH and healthcare service utilization and cost.

Vagus nerve stimulation as adjunctive therapy in patients with difficult-to-treat depression (RESTORE-LIFE): study protocol design and rationale of a real-world post-market study

BACKGROUND

Depressive illness is associated with significant adverse consequences for patients and their families, and for society. Clinical challenges are encountered in the management of patients suffering from depression whether they are designated difficult-to-treat or treatment-resistant. Prospective serial depression treatment trials have shown that less than 40% of patients with major depressive disorder remit with an initial pharmacotherapy trial, and a progressively smaller proportion of patients remit with each subsequent trial. For patients who suffer from difficult-to-treat depression (DTD), treatments should focus on patient-centred symptom control, patient functioning, and improving patient quality of life. Among the treatment options for patients with DTD is Vagus Nerve Stimulation (VNS) Therapy. VNS Therapy involves intermittent electrical stimulation of the left cervical vagus nerve and has been shown to be efficacious for long-term management of patients with DTD.

METHODS

RESTORE-LIFE is a prospective, observational, multi-site, global post-market study intended to assess short-, mid-, and long-term effectiveness and efficiency outcomes in a 'real-world' setting among patients with DTD treated with adjunctive VNS Therapy. A minimum of 500 patients will be implanted with a VNS Therapy System at up to 80 global sites. Eligible patients will participate in a baseline visit between 1 and 6 weeks before device implant and will be followed for a minimum of 36 months and a maximum of 60 months. The diagnosis of depression and comorbid disorders will be determined using the Mini-International Neuropsychiatric Interview (MINI). The primary endpoint is response rate, defined as a decrease of ≥50% in Montgomery Åsberg Depression Rating Scale (MADRS) total score from baseline to 12 months post-implant.

DISCUSSION

A standardized approach in the management of DTD may not be appropriate for the treatment of such a complex heterogenous patient population. This study has been designed to evaluate whether VNS Therapy meaningfully improves and sustains clinical and depressive symptom outcomes in patients with DTD. This study will investigate the durability of VNS response in DTD and utility of VNS for long-term disease management of DTD. In addition, the study results will potentially clarify clinical, functional, and health economic questions in a real-world patient population with DTD.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03320304. Registered 25 October 2017.

A retrospective analysis to estimate the healthcare resource utilization and cost associated with treatment-resistant depression in commercially insured US patients

OBJECTIVE

The economic burden of commercially insured patients in the United States with treatment-resistant depression and patients with non-treatment-resistant major depressive disorder was compared using data from the Optum Clinformatics™ claims database.

METHODS

Patients 18-63 years on antidepressant treatment between 1/1/13 and 9/30/13, who had no treatment claims for depression 6 months before the index date (first antidepressant dispensing), and who had a major depressive disorder or depression diagnosis within 30 days of the index date, were included. Treatment-resistant depression was defined as receiving 3 antidepressant regimens during 1 major depressive disorder episode. Patients with treatment-resistant depression were matched with patients with non-treatment-resistant major depressive disorder at a 1:4 ratio using propensity score matching. The study consisted of 1-year baseline (pre-index) and 2-year follow-up (post index) periods. Cost outcomes were compared using a generalized linear model.

RESULTS

2,370 treatment-resistant depression and 9,289 non-treatment-resistant major depressive disorder patients were included. In year 1 of the follow-up period, compared with non-treatment-resistant major depressive disorder, patients with treatment-resistant depression had: more emergency department visits (odds ratio = 1.39, 95% confidence interval = 1.24-1.56); more inpatient hospitalizations (odds ratio = 1.73, 95% confidence interval = 1.46-2.05); longer hospital stays (mean difference vs non-treatment-resistant major depressive disorder = 2.86, 95% confidence interval = 0.86-4.86 days); and more total healthcare costs (mean difference vs non-treatment-resistant major depressive disorder = US$3,846, 95% confidence interval = $2,855-$4,928). These patterns remained consistent in year 2 of the follow-up period.

CONCLUSION

Treatment-resistant depression was associated with higher healthcare resource utilization and costs versus non-treatment-resistant major depressive disorder in this commercially insured cohort of patients in the United States.

Economic Burden of Treatment-Resistant Depression in Privately Insured U.S. Patients with Physical Conditions

BACKGROUND

Little is known about the economic burden of treatment-resistant depression (TRD) in patients with physical conditions.

OBJECTIVE

To assess health care resource utilization (HRU) and costs, work loss days, and related costs in patients with TRD and physical conditions versus patients with the same conditions and non-TRD major depressive disorder (MDD) or without MDD.

METHODS

Adults aged < 65 years with MDD treated with antidepressants were identified in the OptumHealth Care Solutions database (July 2009-March 2017). Patients who received a diagnosis of MDD and initiated a third antidepressant regimen (index date) after 2 regimens of adequate dose and duration were defined as having TRD. Patients with non-TRD MDD and without MDD were assigned a random index date. Patients with < 6 months of continuous health plan eligibility pre- or post-index; a diagnosis of psychosis, schizophrenia, bipolar disorder/mania, dementia, and developmental disorders; and/or no baseline physical conditions (cardiovascular, metabolic, and respiratory disease or cancer) were excluded. Patients with TRD were matched 1:1 to each of the non-TRD MDD and non-MDD cohorts based on propensity scores. Per patient per year HRU, costs, and work loss outcomes were compared up to 24 months post-index date using negative binominal and ordinary least square regressions.

RESULTS

A total of 2,317 patients with TRD (mean age, 47.6 years; 63.1%, female; mean follow-up, 19.7 months) had ≥ 1 co-occurring key physical condition (cardiovascular, 52.5%; metabolic, 48.2%; respiratory, 16.4%; and cancer, 9.5%). Relative to non-TRD MDD and non-MDD cohorts, respectively, patients with TRD had 46% and 235% more inpatient admissions, 28% and 128% more emergency department visits, and 53% and 155% more outpatient visits (all P < 0.05). Health care costs were $22,541 in the TRD cohort, $17,450 in the non-TRD MDD cohort, and $10,047 in the non-MDD cohort, yielding cost differences of $5,091 (vs. non-TRD MDD) and $12,494 (vs. non-MDD; all P < 0.01). In patients with work loss data available (n = 278/cohort), those with TRD had 2.0 and 2.9 times more work loss as well as $8,676 and $10,323 higher work loss costs relative to those with non-TRD MDD and without MDD, respectively (all P < 0.001).

CONCLUSIONS

In patients with physical conditions, those with TRD had higher HRU and health care costs, work loss days, and associated costs compared with non-TRD MDD and non-MDD cohorts.

DISCLOSURES

This study was sponsored by Janssen Scientific Affairs (JSA), which was involved in all aspects of the research, including the design of the study; the collection, analysis, and interpretation of data; writing of the report; and the decision to submit the report for publication. Joshi and Daly are employed by JSA. Zhdanava, Pilon, Rossi, Morrison, and Lefebvre are employees of Analysis Group, which received funding from JSA for conducting this study and has received consulting fees from Novartis Pharmaceuticals and GSK, unrelated to this study. Kuvadia is employed by Integrated Resources, which has provided research services to JSA unrelated to this study; Joshi reports past employment by and stock ownership in Johnson & Johnson; Nelson reports advisory board, data and safety monitoring board, and consulting fees from Assurex, Eisai, FSV-7, JSA, Lundbeck, Otsuka, and Sunovion and royalties from UpToDate, unrelated to this study. This work was presented at AMCP Nexus 2019, held in National Harbor, MD, from October 29 to November 1, 2019.

Amygdala Circuitry During Neurofeedback Training and Symptoms' Change in Adolescents With Varying Depression

Typical adolescents have increased limbic engagement unchecked by regulatory medial prefrontal cortex (PFC) activity as well as heightened self-focus. The resulting emotion dysregulation and self-focused rumination make adolescents more susceptible to depression and suicide attempts. Heightened self-focus converges with mental illness among depressed adolescents, who deploy exaggerated attention to negative self-relevant stimuli and neglect positive ones as part of depression's phenomenology. This results in rigid negative self-representations during an identity formative period with potential lifetime repercussions. Current empirically supported treatments fail to allay recurrent depression. Evidence-based interventions for illnesses linked to suicide ideation and attempts (e.g., depression) underperform across the lifespan. This could be because current treatments are not successful in altering pervasive negative self-representations and affect dysregulation, which is known to be a risk factor of chronic depression. This study departs from the premise that increasing positive self-processing might be protective against chronic depression particularly during adolescence. The present research is a novel investigation of neurofeedback as a potential treatment alternative for adolescent depression. To enhance positive self-processing, we used the happy self-face as a cue to initiate neurofeedback from the bilateral amygdala and hippocampus and adolescents attempted to upregulate that limbic activity through the recall of positive autobiographical memories. We identified limbic functional circuitry engaged during neurofeedback and links to short-term symptoms' change in depression and rumination. We found that depressed youth showed greater right amygdala to right frontocortical connectivity and lower left amygdala to right frontocortical connectivity compared to healthy controls during neurofeedback vs. control conditions. Depressed youth also showed significant symptom reduction. Connectivity between the right amygdala and frontocortical regions was positively correlated with rumination and depression change, but connectivity between frontocortical regions and the left amygdala was negatively correlated with depression change. The results suggest that depressed youth might engage implicit emotion regulation circuitry while healthy youth recruit explicit emotion regulation circuits during neurofeedback. Our findings support a compensatory approach (i.e., target the right amygdala) during future neurofeedback interventions in depressed youth. Future work ought to include a placebo condition or group.

Incremental Health Care Burden of Treatment-Resistant Depression Among Commercial, Medicaid, and Medicare Payers

OBJECTIVE

This study compared health care use and costs among patients with treatment-resistant versus treatment-responsive depression across Medicaid, Medicare, and commercial payers.

METHODS

A retrospective cohort study was conducted by using Truven Health Analytics' commercial (2006-2017; N=111,544), Medicaid (2007-2017; N=24,036), and Medicare supplemental (2006-2017; N=8,889) claims databases. Participants were adults with major depressive disorder who had received one or more antidepressant treatments. Treatment resistance was defined as failure of two or more antidepressant treatments of adequate dose and duration. Annual use (hospitalizations and outpatient and emergency department [ED] visits) and costs were compared across patients by treatment-resistant status in each payer population. Incremental burden of treatment-resistant depression was estimated with regression analyses. Monthly changes in costs during 1-year follow-up were assessed to understand differential cost trends by treatment-resistant status.

RESULTS

In the three payer populations, patients with treatment-resistant depression incurred higher health care utilization than those with treatment-responsive depression (hospitalization, odds ratios [ORs]=1.32-1.76; ED visits, ORs=1.38-1.45; outpatient visits, incident rate ratio=1.29-1.54; p<0.001 for all). Compared with those with treatment-responsive depression, those with treatment resistance incurred higher annual costs (from $4,093 to $8,054 higher; p<0.001). Patients with treatment-resistant depression had higher costs at baseline compared with patients with treatment-responsive depression and incurred higher costs each month throughout follow-up.

CONCLUSIONS

Treatment-resistant depression imposes a significant health care burden on insurers. Treatment-resistant depression may exist and affect health care burden before a patient is identified as having treatment-resistant depression. Findings underscore the need for effective and timely treatment of treatment-resistant depression.

Neurofeedback and neuroplasticity of visual self-processing in depressed and healthy adolescents: A preliminary study

Adolescence is a neuroplastic period for self-processing and emotion regulation transformations, that if derailed, are linked to persistent depression. Neural mechanisms of adolescent self-processing and emotion regulation ought to be targeted via new treatments, given moderate effectiveness of current interventions. Thus, we implemented a novel neurofeedback protocol in adolescents to test the engagement of circuits sub-serving self-processing and emotion regulation.

Methods

Depressed (n = 34) and healthy (n = 19) adolescents underwent neurofeedback training using a novel task. They saw their happy face as a cue to recall positive memories and increased displayed amygdala and hippocampus activity. The control condition was counting-backwards while viewing another happy face. A self vs. other face recognition task was administered before and after neurofeedback training.

Results

Adolescents showed higher frontotemporal activity during neurofeedback and higher amygdala and hippocampus and hippocampi activity in time series and region of interest analyses respectively. Before neurofeedback there was higher saliency network engagement for self-face recognition, but that network engagement was lower after neurofeedback. Depressed youth exhibited higher fusiform, inferior parietal lobule and cuneus activity during neurofeedback, but controls appeared to increase amygdala and hippocampus activity faster compared to depressed adolescents.

Conclusions

Neurofeedback recruited frontotemporal cortices that support social cognition and emotion regulation. Amygdala and hippocampus engagement via neurofeedback appears to change limbic-frontotemporal networks during self-face recognition. A placebo group or condition and contrasting amygdala and hippocampus, hippocampi or right amygdala versus frontal loci of neurofeedback, e.g. dorsal anterior cingulate cortex, with longer duration of neurofeedback training will elucidate dosage and loci of neurofeedback in adolescents.

The humanistic and economic burden of treatment-resistant depression in Europe: a cross-sectional study

BACKGROUND

A patient is considered to suffer from treatment resistant depression (TRD) when consecutive treatment with two products of different pharmacological classes, used for a sufficient length of time at an adequate dose, fail to induce a clinically meaningful effect (inadequate response). The primary aim of the current study was to examine the humanistic and economic burden of TRD in five European countries, France, Germany, Italy, Spain and the United Kingdom, by comparing with non-treatment resistant depression (nTRD) and general population respondents.

METHODS

The sample for this retrospective observational study was taken from the 2017 National Health and Wellness Survey conducted in five European countries. Demographic and patient characteristics were examined for TRD patients compared to respondents with nTRD and to the general population using chi-square tests or one-way analysis of variance for categorical or continuous variables, respectively. Generalized linear models were performed to examine group differences after adjusting these estimates for confounders.

RESULTS

A total 52,060 survey respondents were examined, of which 2686 and 622 were considered to have non-treatment resistant and treatment-resistant depression, respectively. Relative to the general population, nTRD and TRD respondents reported significant decrements in health-related quality of life, including lower adjusted mental (- 12.1 vs. -18.1) and physical (- 2.5 vs. -5.4) component scores of the SF-12v2 and increased adjusted relative risk for work (2.2 vs. 2.7) and activity (1.9 vs. 2.5) impairment (all p < 0.001). Additionally, healthcare resource utilization was significantly higher for TRD patients more so than nTRD, compared to the general population, especially for healthcare professional visits (odds ratio nTRD = 5.4; TRD = 15.9, p < 0.001).

CONCLUSIONS

In conclusion, TRD patients had significantly lower quality of life, greater work productivity and activity impairment, and increased healthcare resource utilization as compared with nTRD and general population. The study findings suggest an unmet need exists among TRD patients in Europe.

Is clinician impression of depression symptom severity associated with incremental economic burden in privately insured US patients with treatment resistant depression?

BACKGROUND

Among patients with major depressive disorder (MDD), those with treatment-resistant depression (TRD) have a higher economic burden. However, the healthcare resource utilization (HRU) and costs may vary by severity status in TRD patients. This study quantified the incremental economic burden of severity status in TRD patients.

METHODS

In a US database of privately insured employees and dependents (07/01/2009-03/31/2015), a claims-based algorithm identified adult TRD patients who were stratified into mild, moderate, and severe cohorts based on the information in the last observed MDD ICD-9-CM code. HRU and costs of moderate and severe cohorts were compared to those of the mild cohort during the 2-year follow-up after the first antidepressant claim.

RESULTS

Among 6411 TRD patients, 455 (7.1%) were identified as mild, 2153 (33.6%) as moderate, and 1455 (22.7%) as severe. Moderate and severe patients compared to mild had 45% and 150% more inpatient admissions, 65% and 164% more inpatient days, 18% and 54% more emergency department visits and 8% and 10% more outpatient visits per-patient-per-year (PPPY), respectively (all-cause; all p < 0.05). Mean all-cause direct total healthcare costs were $12,123, $16,885, and $18,911 PPPY in mild, moderate, and severe patients, respectively. The all-cause total healthcare cost differences adjusted for baseline characteristics amounted to $3455 in moderate and $5150 in severe versus mild patients, respectively (PPPY; all p < 0.05).

LIMITATIONS

Not all TRD patients had a severity specifier; the severity specifier was not cross-validated against a depression scale.

CONCLUSIONS

Increased severity status is associated with incremental economic burden in TRD patients.

Treatment-resistant depression as risk factor for substance use disorders-a nation-wide register-based cohort study

BACKGROUND AND AIMS

Treatment-resistant depression (TRD) is common among patients with major depressive disorder (MDD). MDD may increase the risk for developing substance use disorders (SUD). The aim of this study was to investigate the risk for developing SUD among patients with TRD compared with other depressed patients.

DESIGN

Observational cohort study.

SETTING

Nation-wide governmental health registers in Sweden.

PARTICIPANTS

All patients aged 18-69 years with an MDD diagnosis in specialized health care who had received at least one antidepressant prescription during 2006-14 were identified. Patients with at least three treatment trials within a single depressive episode were classified with TRD.

MEASUREMENTS

Patients with TRD were compared with the whole MDD cohort regarding risk for obtaining a SUD diagnosis or medication using survival analyses adjusted for socio-demographics and comorbidities.

FINDINGS

Of 121 669 MDD patients, 13% were classified with TRD. Among the patients without any history of SUD, patients with TRD had a risk increase for any SUD both ≤ 1 and > 1 year after antidepressant initiation [> 1 year hazard ratio (HR) = 1.4; 95% confidence interval (CI) = 1.3-1.5]. Risks were elevated for the subcategories of opioid (HR = 1.9, 95% CI = 1.4-2.5) and sedative SUD (HR = 2.7, 95% CI = 2.2-3.2). Patients with a history of SUD had a risk increase for any SUD ≤ 1 year after start of treatment (HR = 1.2, 95% CI = 1.1-1.4), and both ≤ 1 year and > 1 year for sedative (> 1 year HR = 2.0, 95% CI = 1.3-3.0) and multiple substance SUD (HR = 1.9, 95% CI = 1.4-2.5).

CONCLUSIONS

Patients with treatment-resistant depression may be at greater risk for substance use disorders compared with other patients with major depressive disorder. Patterns may differ for patients with and without a history of substance use disorders, and for different categories of substance use disorder.

Economic Burden of Treatment-Resistant Depression on the U.S. Health Care System

BACKGROUND

Treatment-resistant depression (TRD), defined as episodes of depression that do not respond to ≥ 2 lines of adequate depression therapy, is associated with a high economic burden. Although the economic burden of TRD is reported elsewhere, its exact magnitude and current value is uncertain due to differences in methodology in TRD identification.

OBJECTIVE

To compare all-cause health care resource utilization (HCRU) and associated health care payments among patients with TRD and those with depression but without TRD, using administrative claims data.

METHODS

This retrospective cohort study used data from the Truven Health MarketScan Commercial and Medicare Supplemental Databases (October 1, 2008-September 30, 2016). All patients were aged ≥ 18 years, newly diagnosed with depression (≥ 1 inpatient admission or ≥ 2 outpatient visits with a primary or secondary depression diagnosis), and newly treated with depression therapy. The population included patients with and without TRD. Patients with TRD were defined as having been treated with ≥ 3 courses of depression therapy within a 360-day period (initiation of the third course served as the TRD index date), while patients without TRD (non-TRD) were defined as having been treated with 2 courses of depression therapy. TRD and non-TRD cohorts were matched using propensity scores. Using the TRD index date of their matched TRD pair, non-TRD patients were assigned a simulated index date following second-line therapy. Eligible TRD and non-TRD patients were continuously enrolled from a 12-month baseline period before the first course of therapy through a 12-month follow-up period beginning with the TRD index date and simulated index date, respectively. Annual all-cause HCRU and associated payments (2016 U.S. dollars) were assessed in aggregate and by place of service during the follow-up period and were compared between the matched cohorts using nonparametric Wilcoxon signed-rank tests.

RESULTS

The matched analysis included 800 patients in each cohort. For both cohorts, the mean age of patients was 39 years, and 60% were female. All clinical characteristics and all-cause HCRU were comparable at baseline. Compared with non-TRD patients, TRD patients had a significantly higher mean number of all-cause emergency department (ED) visits (0.29 vs. 0.24), outpatient visits (18.0 vs. 13.4), and prescriptions (30.0 vs. 24.0; all P < 0.05) during the 12-month follow-up period. The TRD cohort also had significantly higher mean total all-cause health care payments ($9,890 vs. $6,848; P < 0.001) and mean payments by place of service (ED: $518 vs. $408; outpatient: $3,603 vs. $2,585; pharmacy: $2,613 vs. $1,837; all P < 0.05) compared with the non-TRD cohort.

CONCLUSIONS

In relation to propensity score-matched non-TRD patients, TRD patients used significantly more resources (ED visits, outpatient visits, and number of prescriptions) and had significantly higher overall health care payments. These results serve to highlight the unmet need in patients with TRD, suggesting that improved and more effective management of these patients may help reduce the economic burden of disease.

DISCLOSURES

This study was funded by Alkermes. Sussman and Menzin, employees of Boston Health Economics, were paid consultants, and Olfson, an employee of Columbia University Irving Medical Center, was an unpaid consultant to Alkermes in connection with the study and development of this research article. O'Sullivan and Shah are employees of the study sponsor. Results from this analysis were first presented at the AMCP Managed Care & Specialty Pharmacy Annual Meeting in Boston, MA, on April 23-26, 2018.

Medicaid spending burden among beneficiaries with treatment-resistant depression

Aim: To evaluate Medicaid spending and healthcare resource utilization (HRU) in treatment-resistant depression (TRD). Materials & methods: TRD beneficiaries were identified from Medicaid claims databases (January 2010–March 2017) and matched 1:1 with major depressive disorder (MDD) beneficiaries without TRD (non-TRD-MDD) and randomly selected patients without MDD (non-MDD). Differences in HRU and per-patient-per-year costs were reported in incidence rate ratios (IRRs) and cost differences (CDs), respectively. Results: TRD beneficiaries had higher HRU than 1:1 matched non-TRD-MDD (e.g., inpatient visits: IRR = 1.41) and non-MDD beneficiaries (N = 14,710 per cohort; e.g., inpatient visits: IRR = 3.42, p < 0.01). TRD beneficiaries incurred greater costs versus non-TRD-MDD (CD = US$4382) and non-MDD beneficiaries (CD = US$8294; p < 0.05). Conclusion: TRD is associated with higher HRU and costs versus non-TRD-MDD and non-MDD. TRD poses a significant burden to Medicaid.

All-cause mortality in patients with treatment-resistant depression: a cohort study in the US population

BACKGROUND

Treatment-resistant depression (TRD) may represent a substantial proportion of major depressive disorder (MDD); however, the risk of mortality in TRD is still incompletely assessed.

METHODS

Data were obtained from Optum Clinformatics™ Extended, a US claims database. Date of the first antidepressant (AD) dispensing was designated as the index date for study entry and 6 months prior to that was considered the baseline period. Patients with MDD aged ≥ 18 years, index date between January 1, 2008 and September 30, 2015, no AD claims during baseline, and continuous enrollment in the database during baseline were included. Patients who started a third AD regimen after two regimens of appropriate duration were included in the TRD cohort. All-cause mortality was compared between patients with TRD and non-TRD MDD using a proportional hazards model and Kaplan-Meier estimate with TRD status being treated as a time-varying covariate. The model was adjusted for study year, age, gender, depression diagnosis, substance use disorder, psychiatric comorbidities, and Charlson comorbidity index.

RESULTS

Out of 355,942 patients with MDD, 34,176 (9.6%) met the criterion for TRD. TRD was associated with a significantly higher mortality compared with non-TRD MDD (adjusted HR: 1.29; 95% CI 1.22-1.38; p < 0.0001). Survival time was significantly shorter in the TRD cohort compared with the non-TRD MDD cohort (p < 0.0001).

CONCLUSIONS

Patients with TRD had a higher all-cause mortality compared with non-TRD MDD patients.

The burden of treatment-resistant depression: A systematic review of the economic and quality of life literature

BACKGROUND

Major depressive disorder (MDD) is a global public health concern. In particular, treatment-resistant depression (TRD) represents a key unmet need in the management of MDD. A systematic review of the epidemiological and economic literature on the burden associated with an increasing number of treatment steps due to TRD/non-response within an MDD episode was performed to quantify the burden of TRD.

METHODS

Studies were identified in the PubMed/Medline databases through April 27th, 2017. Articles were limited to full-length peer-reviewed journal publications with no date restrictions. Economic and patient health-related quality of life (HRQoL) data on non-response by the number of treatment steps were quantified and, where appropriate, compared across studies; otherwise, comparative data within studies were reported.

RESULTS

The 12 studies on economic burden found an association between increasing levels of TRD/non-response and elevations in direct and indirect costs. Likewise, the 19 studies studying HRQoL burden found that increasing levels of TRD/non-response correlated with reduced patient HRQoL and health status.

LIMITATIONS

TRD is defined inconsistently, which results in notable heterogeneity between published studies and poses methodological challenges for between-study comparisons. It is unknown if the increased economic and patient HRQoL burden are due to factors associated with TRD/non-response in addition to those due to depression persistence or severity.

CONCLUSIONS

A consistent trend was observed such that medical costs increased and patient HRQoL and health status decreased by increasing level of TRD/non-response within an MDD episode. These findings highlight the need for improved therapies for TRD to help reduce disease burden.

Humanistic outcomes in treatment resistant depression: a secondary analysis of the STAR*D study

BACKGROUND

In the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, a third of patients did not achieve remission or adequate response after two treatment trials, fulfilling requirements for treatment resistant depression (TRD). The present study is a secondary analysis of the STAR*D data conducted to compare the humanistic outcomes in patients with TRD and non-TRD MDD.

METHODS

Patients with major depressive disorder who entered level 3 of the STAR*D were included in the TRD group, while patients who responded to treatment and entered follow-up from level 1 or 2 were included in the non-TRD group. The first visit in level 1 was used for baseline assessments. The time-point of assessments for comparison was the first visit in level 3 for TRD patients (median day: 141), and the visit closest to 141 ± 60 days from baseline for non-TRD patients. Outcomes were assessed by the 12-item Short Form Health Survey (SF12), 16-item Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), Work and Social Adjustment Scale (WSAS), and Work Productivity and Activity Impairment scale (WPAI). Scores were compared in a linear model with adjustment for covariates including age, gender, and depression severity measured by the 17-item Hamilton Rating Scale for Depression (HDRS17) and Quick Inventory of Depressive Symptomatology (QIDS).

RESULTS

A total of 2467 (TRD: 377; non-TRD: 2090) patients were studied. TRD patients were slightly older (mean age 44 vs 42 years), had a higher proportion of men (49% vs 37%, p < .0001), and baseline depression severity (HDRS17: 24.4 vs 22.0, p < .0001) vs non-TRD patients. During follow-up, TRD patients had lower health-related quality of life (HRQOL) scores on mental (30 vs 45.7) and physical components (47.7 vs 48.9) of the SF12, and lower Q-LES-Q scores (43.6 vs 63.7), greater functional and work impairments and productivity loss vs non-TRD patients (all p < 0.05).

CONCLUSION

Patients with TRD had worse HRQOL, work productivity, and social functioning than the non-TRD patients.

Prospective Service Use and Health Care Costs of Medicaid Beneficiaries with Treatment-Resistant Depression

BACKGROUND

Although the clinical and health economic characteristics of commercially insured adults with treatment-resistant depression (TRD) have been well characterized, little is known about TRD in the Medicaid population.

OBJECTIVE

To describe clinical and health economic characteristics of adult Medicaid beneficiaries with TRD.

METHODS

Retrospective longitudinal cohort analyses were performed with Truven Health MarketScan Medicaid Database (2008-2014), focusing on adults with major depressive disorder (MDD) following an index antidepressant prescription. TRD was operationally defined as starting a third treatment regimen after 2 adequate regimens of antidepressants or augmentation therapy within 12 months of an index antidepressant prescription. Among patients with and without TRD, percentages with inpatient admissions, emergency department visits, and outpatient visits (all cause, mental health related, and depression related) were determined. Logistic regression models were used to examine associations between TRD status and use of inpatient, outpatient, and emergency services. Separate analyses were performed for the first and second year after the index antidepressant prescription.

RESULTS

Approximately one quarter (25.9%) of pharmacologically treated adults with MDD met criteria for TRD. In relation to MDD patients without TRD, patients with TRD were proportionately more likely to be older, male, and white. Compared with MDD patients without TRD, patients with TRD were also significantly more likely to receive inpatient care for any cause (31.0% vs. 21.6%; P < 0.001), a mental health-related reason (12.7% vs. 7.6%; P < 0.001), or depression (10.1% vs. 6.1%; P < 0.001) during the first year following their index antidepressant prescription. Over the second follow-up year, patients with TRD continued to be more likely than patients without TRD to receive inpatient care for any reason (26.7% vs. 19.5%; P < 0.001), a mental health-related reason (5.6% vs. 2.7%; P < 0.001), and depression (3.7% vs. 1.7%; P < 0.001). The mean health care costs of patients with TRD were also significantly higher than the costs of patients without TRD during the first year ($18,982 [SD ± $35,276] vs. $11,642 [SD ± $29,203]) and second year ($17,997 [SD ± $34,146] vs. $10,325 [SD ± $28,224]) following the index antidepressant prescription.

CONCLUSIONS

In the U.S. Medicaid program, adults with TRD have substantially and persistently higher health care costs than their counterparts who do not meet criteria for TRD. The service use and health care cost patterns of patients with TRD in the Medicaid program highlight challenges of developing interventions and care coordination strategies to meet their complex clinical needs.

DISCLOSURES

This project was sponsored by Janssen Scientific Affairs. Olfson received a grant from Janssen Scientific Affairs through Columbia University Medical Center. Amos and Benson are employees of Janssen Scientific Affairs. Marcus was paid by Janssen Scientific Affairs to provide consulting support for this study and reports fees from Sunovion Pharmaceuticals and Alkermes outside of this study. McRae was a fellow affiliated with Janssen Scientific Affairs during the development of this research and manuscript. Study concept and design were contributed by Amos, Olfson, Marcus, Benson, and McRae. Data analysis was performed by all the authors. The manuscript was primarily written by Olfson, along with the other authors, and revised by McRae, Benson, Amos, Marcus, and Olfson. A different data cut from the same database was presented previously at the 2017 Annual Meeting of the International Society for Pharmacoeconomics and Outcomes Research; May 20-24, 2017; Boston, MA; and the 2017 AcademyHealth Annual Research Meeting; June 25-27, 2017; New Orleans, LA.

Clinical and demographic predictors of response to rTMS treatment in unipolar and bipolar depressive disorders

OBJECTIVE

Previous studies investigated predictors of repetitive transcranial magnetic stimulation (rTMS) response in depressive disorders but there is still limited knowledge about clinical predictors. Moreover, predictors of rTMS response in bipolar depression (BDD) are less studied than unipolar depression (UDD).

METHODS

We performed a binary logistic regression analysis in 248 patients with depressive disorders (unipolar N=102, bipolar N=146) who received 20 sessions of DLPFC rTMS (High-frequency rTMS, low-frequency rTMS, bilateral rTMS) to investigate significant clinical and demographic predictors of rTMS response. We also investigated effects of depression type, response (yes, no) and time on reducing somatic and cognitive-affective symptoms of patients.

RESULTS

Depression type (unipolar vs. bipolar) did not have a significant effect on rTMS response. 45% of all patients, 51.5% of UDD patients and 41% of BDD patients, responded to rTMS treatment. Age was the only significant demographic predictor of treatment response in all patients. Cognitive-affective symptoms, compared to somatic symptoms were significant predictors for treatment response to rTMS. Common and unique clinical predictor for UDD and BDD were identified.

CONCLUSIONS

Younger patients and those with cognitive-affective rather than somatic symptoms benefit more from DLPFC rTMS treatment. rTMS is effective in UDD and BDD patients. Patients should be selected based on clinical and demographic profile.

SIGNIFICANCE

Findings are based on the largest thus far reported sample of patients with depressive disorders that received DLPFC rTMS.

Epidemiology of pharmaceutically treated depression and treatment resistant depression in Taiwan

Epidemiologic data on treatment resistant depression (TRD) in Asia-Pacific countries are limited. We estimated the incidence of TRD in Taiwan using a cohort of 704,265 adults randomly sampled from Taiwan's National Health Insurance Research database for 2005. TRD was defined as a patient having pharmaceutically treated depression (PTD) not adequately responding to 2 antidepressant (AD) regimens, i.e., AD regimens that were followed by other AD regimens. Among 2751 PTD subjects, 576 (20.94%, 95% CI: 19.46, 22.49) developed TRD, a proportion similar to that in North American studies. TRD incidence was 0.82 (95% CI: 0.75, 0.89) cases /1000 population in 2005, increased with age, and was higher in females than in males. SSRI's were the most frequently used ADs. Augmentation with antipsychotics was common. The median time from PTD onset (first AD medication) to TRD onset was 416 days but psychiatrists practicing in Taiwan indicated they would switch within <=3 months if an AD medication was not effective. We therefore repeated the analysis with a 6 months cap on time from onset of PTD to TRD. In this supplemental, post-hoc, analysis, 68 PTD subjects, 2.47%, (95% CI: 1.94, 3.10) developed TRD; i.e., 0.10 (95% CI: 0.08, 0.12) incident cases/1000 population.

Cortisol as a predictor of psychological therapy response in depressive disorders: systematic review and meta-analysis

BACKGROUND

Many patients with depressive disorders demonstrate resistance to psychological therapy. A frequent finding is hypothalamic-pituitary-adrenal (HPA) axis alterations. As cortisol is known to modulate cognitive processes, those patients may be less likely to profit from psychological therapy.

AIMS

To conduct a systematic review and meta-analysis on cortisol as a predictor of psychological therapy response.

METHOD

The Cochrane Library, EMBASE, MEDLINE and PsycINFO databases were searched. Records were included if they looked at patients with any depressive disorder engaging in psychological therapy, with a pre-treatment cortisol and a post-treatment symptom measure.

RESULTS

Eight articles satisfied our selection criteria. The higher the cortisol levels before starting psychological therapy, the more symptoms patients with depression experienced at the end of treatment and/or the smaller their symptom change.

CONCLUSIONS

Our findings suggest that patients with depression with elevated HPA functioning are less responsive to psychological therapy.

New use for an old drug: oral ketamine for treatment-resistant depression

Treatment-resistant depression (TRD) is a disabling disorder that can interfere with a patient's capacity to understand and participate in medical care and thus negatively impact individual morbidity and mortality. Hospitalised patients with TRD may require rapid alleviation of severe symptomatology, particularly when suicidal or if unable to participate in care decisions. Ketamine is well known for its anaesthetic effects and its use as a 'street' drug; however, its action as an N-methyl-D-aspartate receptor antagonist makes ketamine a potential therapy for TRD. The majority of studies investigating ketamine for TRD have used intravenous drug delivery, demonstrating benefit for rapid alleviation and sustained response of depression symptoms. Oral ketamine for urgent alleviation of TRD symptoms is less reported. We describe rapid alleviation of severe TRD with oral ketamine in a severely ill postoperative hospitalised patient, and review the current literature on 'off-label' use of ketamine for treatment of refractory depression.

White matter tract integrity in treatment-resistant gambling disorder

BACKGROUND

Gambling disorder is a relatively common psychiatric disorder recently re-classified within the DSM-5 under the category of 'substance-related and addictive disorders'.

AIMS

To compare white matter integrity in patients with gambling disorder with healthy controls; to explore relationships between white matter integrity and disease severity in gambling disorder.

METHOD

In total, 16 participants with treatment-resistant gambling disorder and 15 healthy controls underwent magnetic resonance imaging (MRI). White matter integrity was analysed using tract-based spatial statistics.

RESULTS

Gambling disorder was associated with reduced fractional anisotropy in the corpus callosum and superior longitudinal fasciculus. Fractional anisotropy in distributed white matter tracts elsewhere correlated positively with disease severity.

CONCLUSIONS

Reduced corpus callosum fractional anisotropy is suggestive of disorganised/damaged tracts in patients with gambling disorder, and this may represent a trait/vulnerability marker for the disorder. Future research should explore these measures in a larger sample, ideally incorporating a range of imaging markers (for example functional MRI) and enrolling unaffected first-degree relatives of patients.

Evaluating antidepressant treatment prior to adding second-line therapies among patients with treatment-resistant depression

BACKGROUND

Patients with depression can be mistakenly labeled as treatment-resistant if they fail to receive an adequate first-line antidepressant trial. Adding second-line agents to the treatment regimens can create an additional burden on both the patients and the healthcare system.

OBJECTIVES

To determine if depressed patients receive an adequate antidepressant trial prior to starting second-line therapy and to investigate the association between the type of second-line treatment and severity of illness or depression among unipolar versus bipolar patients.

SETTING

Oklahoma Medicaid claims data between 2006 and 2011.

METHODS

Subjects were depression-diagnosed adult patients with at least two prescriptions of antidepressants followed by a second-line agent. Patients were categorized into one of three groups: an atypical antipsychotic, other augmentation agents (lithium, buspirone, and triiodothyronine), or adding antidepressants, based on the type of second-line therapy. An adequate trial was defined per the American Psychiatric Association guidelines. Factors associated with the type of treatment were tested using multinomial logistic regression models stratified by type of depression (unipolar vs. bipolar patients).

MAIN OUTCOME MEASURE

Variables used to measure receiving an adequate antidepressant trial included: trial duration, adherence, dose adequacy, and number of distinct antidepressant trials.

RESULTS

A total of 3910 patients were included in the analysis. Most subjects reached the recommended antidepressant dose. However, 28 % of patients had an antidepressant trial duration <4 weeks and only 60 % tried at least two antidepressant regimens prior to adding second-line therapy. Approximately 50 % of the subjects were non-adherent across all groups. Severity of illness and receipt of an adequate antidepressant trial were not predictors of the type of second-line treatment.

CONCLUSION

Many patients do not receive an adequate antidepressant trial before starting a second-line agent. The type of second-line treatment was independent of severity of depression. These findings support policies that require reviewing the recommended dose and duration of the first-line antidepressant before adding second-line agents. Healthcare providers need to review the patient's history and reconsider the evidence for prescribing second-line agents.

Predicting perceived medication-related hassles in dementia family caregivers

Objective

This study examined predictors of medication administration hassles reported by intergenerational dementia family caregivers.

Methods

A sample of 53 women who aided a cognitively impaired older adult with healthcare and who identified as inter-generational caregivers provided self-report medication management and psychosocial data.

Results

Hierarchical multiple regression analyses revealed that six independent variables hypothesized for this model, the total number of prescription medications managed by caregivers, educational attainment, care-recipient functional impairment, care-recipient cognitive impairment, caregiver depressive symptomatology, and self-reported feelings of preparedness for the caregiving role together significantly predicted caregiver medication administration hassles scores F(1, 48) = 4.90, p = .032, and accounted for approximately 25% of the variance of self-reported hassles (adjusted R2 = .247).

Discussion

Future interventions may reduce medication-related hassles by providing psychoeducation about healthcare, medication management, and strategies for coping with care-related stressors and depressed mood.

Managing inadequate antidepressant response in depressive illness

INTRODUCTION OR BACKGROUND

Depression frequently fails to respond to initial treatment.

SOURCES OF DATA

Predominantly meta-analyses and RCTs but supplemented where necessary by additional data and the authors' clinical experience.

AREAS OF AGREEMENT

A systematic assessment to identify remedial causes of poor response should be followed by planned sequential treatment trials. Joint decision making by the patient and clinician is essential. Strategies with the strongest support are antidepressant augmentation with lithium or second generation antipsychotics and adding cognitive behavioural treatment. Electroconvulsive therapy is highly effective in resistant depression but there is a high relapse rate when treatment ends.

AREAS OF CONTROVERSY

Some pharmacological strategies have inconsistent data (e.g. antidepressant combinations, T3 augmentation) or limited preliminary data (e.g. ketamine, antidepressant augmentation with pramipexole). The efficacy of vagus nerve stimulation, deep brain stimulation and repetitive transcranial magnetic stimulation is unclear.

GROWING POINTS

A greater understanding of the causes of depression may assist the development of more effective treatments.

AREAS TIMELY FOR DEVELOPING RESEARCH

Role of glutamate antagonists and psychological treatments, other than cognitive behavioural therapy, as adjunctive treatments.

Effect of (4a) a novel 5-HT3 receptor antagonist on chronic unpredictable mild stress induced depressive-like behavior in mice: an approach using behavioral tests battery

BACKGROUND

The inconsistent therapeutic outcome necessitates designing and identifying novel therapeutic interventions for depression. Hence, the present study deals with the investigation of antidepressant-like effects of a novel 5-HT3 receptor antagonist (4-phenylpiperazin-1-yl) (quinoxalin-2-yl) methanone (4a) on chronic unpredictable mild stress (CUMS) induced behavioral and biochemical alterations.

METHODS

Animals were subjected to different stressors for a period of 28 days. On day 15 after the subsequent stress procedure, mice were administered with (4a) (2 and 4 mg/kg p.o.), escitalopram (10 mg/kg p.o.), or vehicle (10 mL/kg p.o.) until day 28 along with the CUMS. Thereafter, behavioral battery tests like locomotor score, sucrose preference test, forced swim test (FST), tail suspension test (TST), and elevated plus maze (EPM) were performed. Biochemical assays like lipid peroxidation, nitrite levels, reduced glutathione (GSH), catalase, and superoxide dismutase (SOD) were estimated in the mice brain homogenate.

RESULTS

(4a) Dose dependently attenuated the behavioral alterations by increasing the sucrose consumption, reducing the immobility time in FST and TST, increasing the open arm number of entries and time in EPM. Furthermore, biochemical alterations were reversed by (4a) as examined by reduced lipid peroxidation and nitrite levels and elevated antioxidant enzyme levels like GSH, catalase and SOD.

CONCLUSIONS

(4a) exhibits antidepressant potential by reversing the CUMS induced behavioral and biochemical changes in mice.

Nonconvulsive Electrotherapy for Treatment Resistant Unipolar and Bipolar Major Depressive Disorder: A Proof-of-concept Trial

BACKGROUND

Electroconvulsive therapy (ECT) is the most effective therapy for treatment resistant major depressive disorder (TRD); however, some individuals with TRD refuse ECT over concern about adverse cognitive effects. Clinical observation of two patients with TRD who had a therapeutic response to intended ECT despite having only one or no seizure suggested that nonconvulsive electrical stimulation may be effective in some patients.

OBJECTIVE/HYPOTHESIS

This study tested the hypothesis that electrical brain stimulation applied like standard ECT, but below seizure threshold, can have therapeutic effects on TRD with fewer adverse cognitive effects.

METHODS

Thirteen outpatients with TRD (6 unipolar, 7 bipolar) who refused ECT participated in this open label adjunctive treatment study of nonconvulsive electrotherapy (NET) at the University of Maryland Medical Center. Brief pulse bifrontal electrical stimulation was given thrice weekly with a Thymatron System IV Integrated ECT Instrument.

RESULTS

Seizure-free data were obtained from 11 of 13 subjects. Group mean Hamilton Depression Rating Scale 17-item version scores declined significantly (P = 0.001) from 20.3 to 8.6. Response and remission rates were 73% (8) and 55% (6), respectively. Cognitive testing using the Mini-Mental State Exam and the Autobiographical Memory Inventory-Short Form did not show declines typically observed with ECT.

CONCLUSIONS

The therapeutic effect of NET on TRD was similar to that of ECT. Serious adverse effects and adverse cognitive effects were not observed. These results challenge the widespread belief that a seizure is necessary for the antidepressant effect of ECT and merit further investigation to determine whether NET is a viable alternative to ECT in some patients with TRD. Clinical trial posted on www.clinicaltrials.gov, identifier: NCT01065597.

Reduction in Ventral Midbrain NMDA Receptors Reveals Two Opposite Modulatory Roles for Glutamate on Reward

Glutamate is a major component of the reward circuitry and recent clinical studies suggest that new molecules that would target glutamate neurotransmission are most likely to constitute more effective medications for mood disorders. It is well known that activation of N-methyl-D-aspartate glutamate receptors (NMDARs) initiates dopamine burst firing, a mode associated with reward signaling; but NMDARs also contribute to the maintenance of an inhibitory drive to dopamine neurons. Such opposite modulatory functions imply that different subtypes of NMDARs are expressed on different ventral midbrain (VM) neurons and/or afferent inputs to dopamine neurons. By using the small interfering RNA (siRNA) technique, we studied the effects of VM downregulation of NMDAR subunits GluN1, GluN2A, and GluN2D on reward induced by dorsal raphe electrical stimulation. Reward thresholds were measured before and 24 h after each of three consecutive daily bilateral microinjections of siRNA for the targeted receptor subunit(s) or non-active RNA sequence. After the last measurement, reward thresholds were reassessed following a bilateral microinjection of the preferred GluN2A-NMDA antagonist, (2R,4S)-4-(3-Phosphopropyl)-2-piperidinecarboxylic acid (PPPA). Western-blot analysis showed that siRNAs reduced GluN1- and GluN2A-containing receptors whereas behavioral tests showed that only a reduction in GluN1 produced reward attenuation. Despite NMDAR reduction, reward-enhancing effect of PPPA remained unchanged. We conclude that VM glutamate relays the reward signal initiated by dorsal raphe electrical stimulation by acting on NMDARs devoid of GluN2A/2D subunits and exerts an inhibition on this reward signal by acting on GluN2A-containing NMDARs most likely located on afferent terminals.

Dilemma of prescribing aripiprazole under the Taiwan health insurance program: a descriptive study

OBJECTIVES

Refractory major depressive disorder (MDD) is a serious problem leading to a heavy economic burden. Antipsychotic augmentation treatment with aripiprazole and quetiapine is approved for MDD patients and can achieve a high remission rate. This study aimed to examine how psychiatrists in Taiwan choose medications and how that choice is influenced by health insurance payments and administrative policy.

DESIGN

Descriptive study.

OUTCOME MEASURES

Eight questions about the choice of treatment strategy and atypical antipsychotics, and the reason to choose aripiprazole.

INTERVENTION

We designed an augmentation strategy questionnaire for psychiatrists whose patients had a poor response to antidepressants, and handed it out during the annual meeting of the Taiwanese Society of Psychiatry in October 2012. It included eight questions addressing the choice of treatment strategy and atypical antipsychotics, and the reason whether or not to choose aripiprazole as the augmentation antipsychotic.

RESULTS

Choosing antipsychotic augmentation therapy or switching to other antidepressant strategies for MDD patients with an inadequate response to antidepressants was common with a similar probability (76.1% vs 76.4%). The most frequently used antipsychotics were aripiprazole and quetiapine, however a substantial number of psychiatrists chose olanzapine, risperidone, and sulpiride. The major reason for not choosing aripiprazole was cost (52.1%), followed by insurance official policy audit and deletion in the claims review system (30.1%).

CONCLUSION

The prescribing behavior of Taiwanese psychiatrists for augmentation antipsy-chotics is affected by health insurance policy.

Cost-effectiveness of cognitive-behavioural therapy as an adjunct to pharmacotherapy for treatment-resistant depression in primary care: economic evaluation of the CoBalT Trial

BACKGROUND

Depression is expensive to treat, but providing ineffective treatment is more expensive. Such is the case for many patients who do not respond to antidepressant medication.

AIMS

To assess the cost-effectiveness of cognitive-behavioural therapy (CBT) plus usual care for primary care patients with treatment-resistant depression compared with usual care alone.

METHOD

Economic evaluation at 12 months alongside a randomised controlled trial. Cost-effectiveness assessed using a cost-consequences framework comparing cost to the health and social care provider, patients and society, with a range of outcomes. Cost-utility analysis comparing health and social care costs with quality-adjusted life-years (QALYs).

RESULTS

The mean cost of CBT per participant was £910. The difference in QALY gain between the groups was 0.057, equivalent to 21 days a year of good health. The incremental cost-effectiveness ratio was £14 911 (representing a 74% probability of the intervention being cost-effective at the National Institute of Health and Care Excellence threshold of £20 000 per QALY). Loss of earnings and productivity costs were substantial but there was no evidence of a difference between intervention and control groups.

CONCLUSIONS

The addition of CBT to usual care is cost-effective in patients who have not responded to antidepressants. Primary care physicians should therefore be encouraged to refer such individuals for CBT.

QCM-4 a novel 5-HT3 antagonist attenuates the behavioral and biochemical alterations on chronic unpredictable mild stress model of depression in Swiss albino mice

Objectives

The inconsistent therapeutic outcome necessitates identifying novel compounds for the treatment of depression. Therefore, the present study is aimed at evaluating the antidepressant-like effects of a novel 5-HT3 receptor antagonist 3-methoxy-N-p-tolylquinoxalin-2-carboxamide (QCM-4) on chronic unpredictable mild stress (CUMS) induced behavioral and biochemical alterations in mice.

Methods

Animals were subjected to different stressors for a period of 28 days. Thereafter, battery tests like locomotor score, sucrose preference test, forced swim test (FST), tail suspension test (TST), elevated plus maze (EPM) and open field test (OFT) were performed. Biochemical assays like lipid peroxidation, nitrite levels, reduced glutathione (GSH), catalase and superoxide dismutase (SOD) were assessed in brain homogenate.

Key findings

QCM-4 dose dependently reversed the CUMS induced behavioral and biochemical alterations by increasing the sucrose consumption, reducing the immobility time in FST and TST, increasing the percent time in open arm in EPM and increasing the ambulation along with the rearings and decreased number of fecal pellets in OFT. Further, biochemical alterations were attenuated by QCM-4 as indicated by reduced lipid peroxidation and nitrite levels and elevated antioxidant enzyme levels like GSH, catalase and SOD.

Conclusions

QCM-4 attenuated the behavioral and biochemical derangements induced by CUMS in mice, indicating antidepressant behavior of the novel compound.

Characterization of treatment resistant depression episodes in a cohort of patients from a US commercial claims database

CONTEXT

Treatment Resistant Depression (TRD) is a significant and burdensome health concern.

OBJECTIVE

To characterize, compare and understand the difference between TRD and non-TRD patients and episodes in respect of their episode duration, treatment patterns and healthcare resource utilization.

DESIGN AND SETTING

Patients between 18 and 64 years with a new diagnosis of major depressive disorder (MDD) and without a previous or comorbid diagnosis of schizophrenia or bipolar disease were included from PharMetrics Integrated Database, a claims database of commercial insurers in the US. Episodes of these patients in which there were at least two distinct failed regimens involving antidepressants and antipsychotics were classified as TRD.

PATIENTS

82,742 MDD patients were included in the analysis; of these patients, 125,172 episodes were identified (47,654 of these were drug-treated episodes).

MAIN OUTCOME MEASURES

Comparison between TRD and non-TRD episodes in terms of their duration, number and duration of lines of treatment, comorbidities, and medical resource utilization.

RESULTS

Of the treated episodes, 6.6% (N = 3,134) met the criteria for TRD. The median time to an episode becoming TRD was approximately one year. The mean duration of a TRD episode was 1,004 days (vs. 452 days for a non-TRD episode). More than 75% of TRD episodes had at least four lines of therapy; half of the treatment regimens included a combination of drugs. Average hospitalization costs were higher for TRD than non-TRD episodes: $6,464 vs. $1,734, as were all other health care utilization costs.

CONCLUSIONS

While this study was limited to relatively young and commercially covered patients, used a rigorous definition of TRD and did not analyze for cause or consequence, the results highlight high unmet medical need and burden of TRD on patients and health care resources.

Physical co-morbidity among treatment resistant vs. treatment responsive patients with major depressive disorder

Co-morbid physical illness has been suggested to play an important role among the factors contributing to treatment resistance in patients with major depressive disorder. In the current study we compared the rate of physical co-morbidity, defined by ICD-10, among a large multicenter sample of 702 patients with major depressive disorder. A total of 356 of the participants were defined as treatment resistant depression (TRD) patients-having failed two or more adequate antidepressant trials. No significant difference was found between TRD and non-TRD participants in the prevalence of any ICD-10 category. This finding suggests that although physical conditions such as diabetes, thyroid dysfunction, hypertension, ischemic heart disease, and peptic diseases are often accompanied by co-morbid MDD, they do not necessarily have an impact on the course of MDD or the likelihood to respond to treatment. Marginally higher rates of co-morbid breast cancer, migraine and glaucoma were found among TRD participants. Possible explanations for these findings and their possible relation to TRD are discussed.

Brain imaging predictors and the international study to predict optimized treatment for depression: study protocol for a randomized controlled trial

BACKGROUND

Approximately 50% of patients with major depressive disorder (MDD) do not respond optimally to antidepressant treatments. Given this is a large proportion of the patient population, pretreatment tests that predict which patients will respond to which types of treatment could save time, money and patient burden. Brain imaging offers a means to identify treatment predictors that are grounded in the neurobiology of the treatment and the pathophysiology of MDD.

METHODS/DESIGN

The international Study to Predict Optimized Treatment in Depression is a multi-center, parallel model, randomized clinical trial with an embedded imaging sub-study to identify such predictors. We focus on brain circuits implicated in major depressive disorder and its treatment. In the full trial, depressed participants are randomized to receive escitalopram, sertraline or venlafaxine-XR (open-label). They are assessed using standardized multiple clinical, cognitive-emotional behavioral, electroencephalographic and genetic measures at baseline and at eight weeks post-treatment. Overall, 2,016 depressed participants (18 to 65 years old) will enter the study, of whom a target of 10% will be recruited into the brain imaging sub-study (approximately 67 participants in each treatment arm) and 67 controls. The imaging sub-study is conducted at the University of Sydney and at Stanford University. Structural studies include high-resolution three-dimensional T1-weighted, diffusion tensor and T2/Proton Density scans. Functional studies include standardized functional magnetic resonance imaging (MRI) with three cognitive tasks (auditory oddball, a continuous performance task, and Go-NoGo) and two emotion tasks (unmasked conscious and masked non-conscious emotion processing tasks). After eight weeks of treatment, the functional MRI is repeated with the above tasks. We will establish the methods in the first 30 patients. Then we will identify predictors in the first half (n=102), test the findings in the second half, and then extend the analyses to the total sample.

TRIAL REGISTRATION

International Study to Predict Optimized Treatment--in Depression (iSPOT-D). ClinicalTrials.gov, NCT00693849.

The economic burden of treatment-resistant depression

BACKGROUND

Major depressive disorder (MDD) is a leading cause of disability, morbidity, and mortality worldwide. The lifetime prevalence in the United States is estimated at 17%. Treatment-resistant depression (TRD) is generally defined as failure to achieve remissions despite adequate treatment. About 30% of patients do not achieve remission after 4 different antidepressant treatment trials. A few studies have examined the economic burden of TRD, but none has investigated the cost associated with more chronic and extensive forms of TRD characterized by nonresponse to ≥4 treatment trials.

OBJECTIVE

The objective of this study was to compare the health care utilization (HCU) and direct medical expenditures of TRD patients with those of chronic MDD patients.

METHODS

Patients with chronic MDD (defined as ≥2 years of continuous treatment) and patients with TRD (defined as undergoing at least 4 different qualifying antidepressant therapy trials) were identified in the PharMetrics Patient-centric Database. The association between TRD and medical expenditures was measured by using multivariate regression analysis.

RESULTS

The classification of TRD had a clinically meaningful and statistically significant association with increased medical expenditures. Holding all else equal, the classification of TRD was associated with a 29.3% higher costs (P < 0.001) in medical expenditures compared with patients not meeting the study definition of TRD.

CONCLUSIONS

These results demonstrate that TRD is associated with significantly higher per-patient medical costs due to higher HCU. The findings suggest that the development of treatment alternatives for TRD is warranted. Limitations related to the use of secondary administrative data are noted.

Medical costs and utilization in patients with depression treated with adjunctive atypical antipsychotic therapy

Objective

To compare total medical costs and utilization over a 12-month period in commercially insured patients receiving FDA-approved adjunctive atypical antipsychotics (aripiprazole, olanzapine, or quetiapine) for depression.

Methods

A retrospective claims analysis was conducted from 2005–2010 using the PharMetrics database. Subjects were adult commercial health-plan members with depression, identified using International Classification of Diseases codes and followed for 12 months after augmentation with an atypical antipsychotic. Outcomes included total medical costs, hospitalization, and ER visits. Generalized linear models and logistic regression were used to compare the total medical costs and the odds of hospitalization and ER visits between the treatment groups after adjusting for baseline demographic and clinical characteristics.

Results

A total of 9675 patients with depression were included in the analysis, of which 68.4% were female, with a mean age of 45.2 (±12.0) years. Adjusted 12-month total medical costs were higher for olanzapine ($14,275) and quetiapine ($12,998) compared to aripiprazole ($9,801; P < 0.05 for all comparisons with aripiprazole). When divided into inpatient and outpatient costs, olanzapine and quetiapine had significantly higher adjusted inpatient costs compared to aripiprazole ($6,124 and $4,538 vs $2,976, respectively; P < 0.05 for all comparisons with aripiprazole). Similar results were seen for adjusted outpatient costs. Adjusted odds of hospitalization for olanzapine (odds ratio [OR] = 1.73; 95% CI confidence interval [CI] = 1.42–2.10) and quetiapine (OR = 1.40; 95% CI = 1.21–1.60) were significantly higher than aripiprazole at 12 months. The adjusted odds of an ER visit for olanzapine (OR = 1.40; 95% CI = 1.18–1.65) and quetiapine (OR = 1.62; 95% CI = 1.44–1.81) were also significantly higher compared to aripiprazole at 12 months.

Conclusions

In commercially insured major depressive disorder patients, olanzapine and quetiapine were associated with higher total medical costs, the difference being primarily attributable to higher inpatient costs. Additionally, olanzapine and quetiapine were associated with significantly higher odds of hospitalization and ER visits compared to aripiprazole.

Medicare patient experience with vagus nerve stimulation for treatment-resistant depression

BACKGROUND

Major depressive disease (MDD) represents a cost burden to the US healthcare system: approximately one-third of MDD patients fail conventional treatment: multiple failures define treatment-resistant depression (TRD). Vagus nerve stimulation (VNS) therapy is an approved adjunctive treatment for TRD.

OBJECTIVE

To study the healthcare utilization experience of Medicare beneficiaries implanted with VNS (VNSBs) during Medicare coverage, compared with beneficiaries with TRD (TRDBs) and managed depression (Mdeps).

METHODS

A retrospective analysis of 100% standard analytic file (SAF) Medicare claims from 2006-2009 using specific criteria to identify a VNSB dataset, compared to TRDs and Mdeps datasets (extract of 5% sample SAF from 2001-2009) and 2009 general Medicare beneficiaries (GMBs). Comparative analysis included demographics, mortality, healthcare utilization, and costs.

RESULTS

Among patients meeting study criteria for VNSBs (n = 690), TRDBs (n = 4639), Mdeps (n = 7524), and GMBs (n > 36 million), VNSBs were on average: younger, more likely to be female, and white, with Medicare eligibility due to disability. Of the VNSBs in the 2-year post-implantation period: 5% died; 22% experienced no negative events (defined as hospitalizations for psychoses or poisoning, emergency room use, electroconvulsive therapy, or poisoning, suicidal ideation, or self-harm diagnoses); 29% experienced multiple negative events; and 41% had either a single hospitalization or only all-cause ER visits. VNSBs experiencing negative events had more complex co-occurring psychiatric diagnoses. The annual mortality rate for VNSBs post-implant was 19.9 deaths per 1000 patient years, compared with 46.2 (CI: 41.9-51.6) and 46.8 (CI: 43.4-50.4) deaths for TRDBs and Mdeps, respectively. The medical costs per patient-year post-VNS implantation for VNSBs ($8749) was similar to the Mdeps ($8960; CI $8555-$9381) and was substantially lower than TRDBs ($13,618; CI $12,937-$14,342).

CONCLUSIONS

VNSBs achieving positive health outcomes (measured by lack of negative events post-implantation) tend to have fewer psychiatric co-occurring conditions. Lowered costs post-implantation with evidence of response to VNS suggest the therapy represents an option for carefully screened TRDBs who have failed other therapies.

LIMITATIONS

Administrative data are missing pharmaceuticals and clinical measures. Data for the VNS population were not available pre-implantation for comparison to post-implantation experience. Cost comparisons are adjusted for missing costs in the VNS dataset.

Clinical Outcomes in Measurement-based Treatment (Comet): a trial of depression monitoring and feedback to primary care physicians

BACKGROUND

Despite the availability of effective treatments for depression, many patients under the care of primary care physicians do not achieve remission. Clinical Outcomes in Measurement-based Treatment (COMET) was designed to assess whether communicating patient-reported depression symptom severity to primary care physicians affects patient outcomes at 6 months.

METHODS

Nine hundred fifteen patients (intervention: n = 503; control: n = 412) diagnosed with major depressive disorder were enrolled in a prospective trial in which physician practice sites were assigned to either the intervention or control study arm. Only patients who were prescribed an antidepressant by their physician were eligible, but medication type was independent of the study protocol. Intervention-arm physicians received monthly updates on their patients' depression severity, which was determined with the nine-item Patient Health Questionnaire (PHQ-9) administered during telephone interviews. Remission was defined as a PHQ-9 score <5 at 6 months; response was defined as a score reduction ≥50%.

RESULTS

Among patients with baseline PHQ-9 score ≥5, 45.0% achieved remission (46.7% intervention versus 42.8% control) and 63.9% responded (67.0% intervention versus 59.7% control) at 6 months. After adjusting for baseline demographic and clinical variables, odds of remission (odds ratio [OR], 1.59 [95% CI, 1.07-2.37]) or response (OR, 2.02 [95% CI, 1.36-3.02]) were significantly greater for the intervention group than for control patients.

CONCLUSIONS

This study demonstrated that regular patient symptom monitoring with feedback to physicians improved outcomes of depression treatment in the primary care setting. Determining reasons for the high observed nonremission rates requires further investigation.

Duloxetine use in chronic low back pain: treatment patterns and costs

BACKGROUND

Little is known about the real-world treatment patterns and costs of patients with chronic low back pain (CLBP) who are treated with duloxetine compared with those receiving other non-surgical treatments.

OBJECTIVE

Our objective was to compare the real-world treatment patterns and costs between patients with CLBP who initiated duloxetine and matched controls who initiated another non-surgical treatment.

METHODS

The study sample was selected from a US privately insured claims database (2004-8). Selected patients were aged 18-64 years, and had a low back pain (LBP) diagnosis (per Healthcare Effectiveness Data and Information Set [HEDIS] specifications) with a subsequent CLBP-qualifying diagnosis recorded ≥90 days after the initial LBP diagnosis. Duloxetine-treated patients had ≥1 duloxetine prescription within 6 months after CLBP diagnosis, no prior duloxetine claim, and continuous eligibility ≥12 months before first LBP diagnosis and ≥6 months after index duloxetine prescription (study period). Because duloxetine patients had higher rates of co-morbidities, 553 duloxetine-treated patients were matched to 553 control patients who initiated another non-surgical LBP treatment based on propensity score and time from first LBP diagnosis to treatment initiation. A subset (n = 103 each) of matched employees with disability data was also analysed to assess work loss. Main outcomes measures included study period treatment rates and direct (medical and drug) costs from a third-party payer perspective and employee indirect (work-loss) costs. McNemar tests were used to compare LBP treatment rates. Bias-corrected bootstrapping t-tests were used to compare costs.

RESULTS

After matching, the two groups had balanced baseline characteristics including demographics, LBP diagnostic categories, co-morbidity profiles, resource use, treatment patterns and mean direct costs. During the 6-month study period, matched duloxetine-treated patients had significantly lower rates of other pharmacological therapy (e.g. 56.2% vs 64.9% narcotic opioids, p = 0.0024; 34.9% vs 49.5% NSAIDs, p < 0.0001) and non-invasive therapy (28.8% vs 38.5% chiropractic therapy, p = 0.0007; 25.5% vs 35.4% physical therapy, p = 0.0004; 17.5% vs 28.4% exercise therapy, p < 0.0001) than controls. Duloxetine-treated patients versus controls had similar back surgery rates (2.2% vs 3.8%; p = 0.1127) and similar direct costs ($US7658 vs $US7439; p = 0.8119). Among CLBP employees, duloxetine-treated employees versus controls had lower rates of other non-surgical therapy, similar back surgery rates (0.0% vs 3.9%; p = 0.1250), lower total direct and indirect costs ($US5227 vs $US7299; p = 0.0418), and similar indirect costs ($US1806 vs $US2664; p = 0.0528).

CONCLUSIONS

Duloxetine treatment in CLBP patients/employees versus other non-surgical treatment was associated with reduced rates of non-surgical therapies and similar back surgery rates, without increased costs.