Adherence and Persistence Across Antidepressant Therapeutic Classes: A Retrospective Claims Analysis Among Insured US Patients with Major Depressive Disorder (MDD)

The relationship between BDNF and physical activity on depression

BACKGROUND/OBJECTIVE

Major depressive disorder (MDD) is one of the leading causes of disease burden and disability worldwide. Brain-derived neurotrophic factor (BDNF) seems to have an important role in the molecular mechanisms underlying MDD aetiology, given its implication in regulating neuronal plasticity. There is evidence that physical activity (PA) improves depressive symptoms, with a key role of BDNF in this effect. We aim to perform a systematic review examining the relationship between the BDNF Val66Met polymorphism and the BDNF protein, PA and MDD.

METHODS

Both observational and experimental design original articles or systematic reviews were selected, according to the PRISMA statement.

RESULTS

Six studies evaluated the Val66Met polymorphism, suggesting a greater impact of physical activity on depression depending on the Val66Met genotype. More discordant findings were observed among the 13 studies assessing BDNF levels with acute or chronic exercise interventions, mainly due to the high heterogeneity found among intervention designs, limited sample size, and potential bias.

CONCLUSIONS

Overall, there is cumulative evidence supporting the potential role of BDNF in the interaction between PA and MDD. However, this review highlights the need for further research with more homogeneous and standardised criteria, and pinpoints important confounding factors that must be considered in future studies to provide robust conclusions.

Antidepressant discontinuation patterns and characteristics across sociodemographic groups in the United States

BACKGROUND

While antidepressants are frequently used, less is known about contemporary discontinuation patterns, especially across different sociodemographic populations.

METHODS

Patients 16-84 years initiating antidepressants between 2016 and 2019 within a large US health insurer were identified. The association between patient characteristics and time until antidepressant discontinuation was evaluated using adjusted Cox proportional hazard regression.

RESULTS

Across 1,365,576 patients, mean time to discontinuation was 168.1 days (SD: 223.6). Men were more likely to discontinue than women (HR: 0.94, 95%CI: 0.94-0.94). Younger patients (16-24 years) were more likely to discontinue than older patients. Patients who were non-White (Asian HR: 1.33, 95%CI: 1.31-1.34; Black HR: 1.27, 95%CI: 1.27-1.28; Hispanic HR: 1.34, 95%:CI 1.34-1.35), with evidence of a substance use disorder (HR: 1.31, 95%CI: 1.27-1.35), or taking tricyclic antidepressants (HR:1.26, 95%CI: 1.25-1.27) were more likely to discontinue.

LIMITATIONS

Information on reasons for discontinuation was not available, and wide standard deviations for the primary outcome were reported. The results may not be generalized to non-commercially insured beneficiaries.

CONCLUSIONS

Discontinuation is common within the first 6 months of treatment but varies across populations, highlighting patients who may benefit from potential intervention.

What is the impact of antidepressant side effects on medication adherence among adult patients diagnosed with depressive disorder: A systematic review

BACKGROUND

Medication adherence is a prerequisite to achieving beneficial treatment outcomes. In major depressive disorder, many patients fail to complete medication regimens, raising concern for poor treatment outcomes. It is usual to experience adverse drug reactions (ADRs) while taking antidepressants, and relative discomfort is reported by patients.

AIMS

The present review focuses on the presence of antidepressant-related side effects and the subsequent relationship with medication non-adherence.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Following the preliminary research, the research question and eligibility criteria were created based on the PICO framework. All articles retrieved from the selected databases were exported to Covidence, a Systematic Review managing software tool. Two reviewers assessed the papers to identify the risk of bias using the Joanna Briggs Institute critical appraisal tool for cross-sectional studies. Seven studies with a low-moderate risk of bias fulfilled the eligibility criteria and were conducted from 2013 to 2020 in Europe, Africa and Asia.

RESULTS

The results demonstrated high levels of suboptimal adherence ranging from 46% to 83% amongst the studied population. A variety of side effects were reported by a significant number of participants predominantly with moderate severity. A correlation between the presence of ADRs and suboptimal rates of adherence to antidepressants was found. Somnolence and headaches among other unspecified ADRs were found to increase the dropout rates for selective serotonin reuptake inhibitors.

CONCLUSIONS

The present study elucidates the need for effective interventions to facilitate antidepressant adherence and enhance doctor-patient communication, benefiting both the individuals and the healthcare system and leading to better clinical outcomes and reduction of relapse-related costs.

Patient satisfaction with the quality of care received is associated with adherence to antidepressant medications

BACKGROUND

There is a paucity of evidence on the association between satisfaction with quality of care and adherence to antidepressants.

OBJECTIVES

To examine the association between patient satisfaction with healthcare and adherence to antidepressants.

METHODS

A cohort study design was used to identify antidepressant users from the 2010-2016Medical Expenditure Panel Survey data, a national longitudinal complex survey study design on the cost and healthcare utilization of the noninstitutionalized population in the United States. The Consumer Assessment of Healthcare Providers and Systems were used to measure participants' satisfaction with access and quality of care, patient-provider communication and shared decision-making (SDM). Patients were considered satisfied if they ranked the quality of care at ≥9 (range: 0[worst]- 10[best]). Antidepressant adherence was measured based on medication refill and complete discontinuation. MEPS sampling survey-weighted multivariable-adjusted logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between satisfaction and adherence to antidepressants. We tested for the potential presence of reverse associations by restricting the analysis to new users of antidepressants. The roles of patient-provider communication and SDM on the satisfaction-adherence association were examined through structural equation models (SEM).

RESULTS

Among 4,990 (weighted counts = 8,661,953) antidepressant users, 36% were adherent while 39% discontinued antidepressants therapy. Half of antidepressant users were satisfied with the healthcare received. Satisfied patients were 26% (OR = 1.26, 95%CI: 1.08, 1.47) more likely to adhere and 17% (OR = 0.83, 95%CI: 0.71, 0.96) less likely to discontinue, compared to unsatisfied antidepressant users. Patient satisfaction was also associated with higher odds (OR = 1.41, 95%CI: 1.06, 1.88) of adherence among a subgroup of new users of antidepressants. The SEM analysis revealed that satisfaction was a manifestation of patient-provider communication (β = 2.03, P-value<0.001) and SDM (β = 1.14, P-value<0.001).

CONCLUSIONS

Patient satisfaction is a potential predictor of antidepressant adherence. If our findings are confirmed through intervention studies, improving patient-provider communication and SDM could likely drive both patient satisfaction and adherence to antidepressants.

The role of adherence in patients with chronic diseases

In the long-term management of chronic diseases, adherence and persistence to prescribed medications are continuous challenges in order to obtain all the potential benefits of drug therapies. Suboptimal drug adherence and discontinuations of therapies remain the most frequent reasons why several diseases are poorly controlled in the population. One the main issue is that physicians are relatively limited in time and tools to detect patients with a poor adherence. The present review discusses present and future strategies that are now available or are being developed to detect and to support adherence in patients with chronic diseases and provides some simple clues to identify patients at high risk of discontinuation in the clinic.

Digital health technologies and major depressive disorder

There is an urgent need to improve the clinical management of major depressive disorder (MDD), which has become increasingly prevalent over the past two decades. Several gaps and challenges in the awareness, detection, treatment, and monitoring of MDD remain to be addressed. Digital health technologies have demonstrated utility in relation to various health conditions, including MDD. Factors related to the COVID-19 pandemic have accelerated the development of telemedicine, mobile medical apps, and virtual reality apps and have continued to introduce new possibilities across mental health care. Growing access to and acceptance of digital health technologies present opportunities to expand the scope of care and to close gaps in the management of MDD. Digital health technology is rapidly evolving the options for nonclinical support and clinical care for patients with MDD. Iterative efforts to validate and optimize such digital health technologies, including digital therapeutics and digital biomarkers, continue to improve access to and quality of personalized detection, treatment, and monitoring of MDD. The aim of this review is to highlight the existing gaps and challenges in depression management and discuss the current and future landscape of digital health technology as it applies to the challenges faced by patients with MDD and their healthcare providers.

Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review

BACKGROUND

New approaches to the treatment of depression are necessary for patients who do not respond to current treatments or lack access to them because of barriers such as cost, stigma, and provider shortage. Digital interventions for depression are promising; however, low patient engagement could limit their effectiveness.

OBJECTIVE

This systematic literature review (SLR) assessed how participant adherence to and engagement with digital interventions for depression have been measured in the published literature, what levels of adherence and engagement have been reported, and whether higher adherence and increased engagement are linked to increased efficacy.

METHODS

We focused on a participant population of adults (aged ≥18 years) with depression or major depressive disorder as the primary diagnosis and included clinical trials, feasibility studies, and pilot studies of digital interventions for treating depression, such as digital therapeutics. We screened 756 unique records from Ovid MEDLINE, Embase, and Cochrane published between January 1, 2000, and April 15, 2022; extracted data from and appraised the 94 studies meeting the inclusion criteria; and performed a primarily descriptive analysis. Otsuka Pharmaceutical Development & Commercialization, Inc (Princeton, New Jersey, United States) funded this study.

RESULTS

This SLR encompassed results from 20,111 participants in studies using 47 unique web-based interventions (an additional 10 web-based interventions were not described by name), 15 mobile app interventions, 5 app-based interventions that are also accessible via the web, and 1 CD-ROM. Adherence was most often measured as the percentage of participants who completed all available modules. Less than half (44.2%) of the participants completed all the modules; however, the average dose received was 60.7% of the available modules. Although engagement with digital interventions was measured differently in different studies, it was most commonly measured as the number of modules completed, the mean of which was 6.4 (means ranged from 1.0 to 19.7) modules. The mean amount of time participants engaged with the interventions was 3.9 (means ranged from 0.7 to 8.4) hours. Most studies of web-based (34/45, 76%) and app-based (8/9, 89%) interventions found that the intervention group had substantially greater improvement for at least 1 outcome than the control group (eg, care as usual, waitlist, or active control). Of the 14 studies that investigated the relationship between engagement and efficacy, 9 (64%) found that increased engagement with digital interventions was significantly associated with improved participant outcomes. The limitations of this SLR include publication bias, which may overstate engagement and efficacy, and low participant diversity, which reduces the generalizability.

CONCLUSIONS

Patient adherence to and engagement with digital interventions for depression have been reported in the literature using various metrics. Arriving at more standardized ways of reporting adherence and engagement would enable more effective comparisons across different digital interventions, studies, and populations.

Non-Adherence to Antidepressant Treatment and Related Factors in a Region of Spain: A Population-Based Registry Study

Antidepressants are a commonly prescribed psychotropic medication, and their use has increased in recent years. Medication non-adherence in patients with mental disorders is associated with worse health outcomes. A population-based registry study to assess antidepressant non-adherence during 2021 has been carried out. An indirect method based on the medication possession ratio (MPR) has been utilized. Patients with a MPR under 80% were classified as non-adherent. A multivariate logistic regression to identify non-adherence predictors has been used, considering sociodemographic (age, sex, institutionalization and urbanicity) and health related variables (diagnostics, antidepressant class, multiple prescribers, and polypharmacy). In 2021, 10.6% of the Castile and Leon population used antidepressants. These patients were institutionalized (7.29%), living in urban areas (63.44%), polymedicated with multiple prescribers (57.07%), and using serotonin selective reuptake inhibitors (SSRIs) (54.77%), other antidepressants (46.82%) or tricyclic antidepressants (TCAs) (13.76%). Antidepressants were prescribed mainly for depression (36.73%) and anxiety (29.24%). Non-adherence to antidepressants was more frequent in men (20.56%) than in woman (19.59%) and decreased with increasing age (32% up to 17 years old vs. 13.76% over 80 years old). TCAs were associated with the highest prevalence of non-adherence (23.99%), followed by SSRIs (20.19%) and other antidepressants (18.5%). Predictors of non-adherence in patients on antidepressants were: living in urban areas, using TCAs, and pain occurrence. Non-adherence to antidepressants decreases with aging. Being female, institutionalization, being polymedicated and having depression/anxiety alongside another psychiatric diagnosis are protective factors against non-adherence. The MPR is a robust indicator for the clinician to identify non-adherent patients for monitoring, and adopt any necessary corrective actions.

Antidepressant Prescription for Major Depressive Disorder: Results from a Population-Based Study in Italy

OBJECTIVES

There is limited evidence about the factors influencing antidepressant (AD) prescription for the treatment of major depressive disorder (MDD) in Real World clinical practice in Italy. In this retrospective, population-based study, we set out to describe a patient cohort initiated on AD treatment for MDD and investigate the possible predictors of different AD prescriptions in the primary care setting.

METHODS

Patients with a diagnosis of MDD who received an initial prescription of one of 11 selected ADs between 1-Apr-2017 and 31-Mar-2019 (index date) were identified from primary care electronic medical records in the Longitudinal Patient Database. Patients prescribed ≥1 AD in the 12 months before the index date were excluded. Results were stratified by AD molecule. Multivariable logistic regression models estimated the association between patients' demographic, clinical factors, and choice of AD molecule.

RESULTS

The study cohort comprised 8,823 patients (67.1% female; mean age 61.6 years). Previous AD treatments (prescribed in the 10 years before the index date) had been received by 46.6% of patients (non-naïve patients). The most commonly reported psychiatric and medical comorbidities reported in the 12 months before the index date were anxiety (8.4%) and hypertension (41.9%), respectively. Patients' age was a significant predictor of AD molecule prescribed at index date in eight of the 11 molecules investigated, while patients' gender influenced clinician prescribing bupropion, citalopram, fluoxetine, fluvoxamine, sertraline, and vortioxetine.

CONCLUSION

Results from this Real World study provide useful information for clinicians on the clinical factors influencing AD prescription in patients treated for MDD in primary care.

Perspectives on the success rate of current antidepressant pharmacotherapy

INTRODUCTION

There has been growing debate about the effectiveness of traditional antidepressants for the treatment of depression, and whether the clinical trials literature overstates the value of existing agents. Antidepressant efficacy is limited by suboptimal remission rates, lack of robust efficacy across diverse depressed subgroups, slow onset, and challenges managing tolerability. Clinicians can better navigate uncertainties in this area by recognizing patient-specific clinical and prognostic factors that influence the likelihood of antidepressant drug response.

AREAS COVERED

The author summarizes pertinent literature regarding drug-placebo differences in antidepressant outcome as well as patient-specific factors that influence antidepressant drug responsivity across subtypes of depressive disorders.

EXPERT OPINION

Standardized effect sizes for most monoaminergic antidepressants are relatively modest. At least one-third of treatment response derives from nonspecific (yet substantial) placebo effects, limiting the ability to compare antidepressant medication effects to that of "no treatment." Patients with high baseline depressive symptom severity are less likely to respond to placebo but may be more responsive to antidepressant pharmacotherapy than is the case in mild forms of depression. Patient satisfaction with antidepressant response must take into consideration not only efficacy for reducing symptoms but also drug tolerability/acceptability and tangible improvement in functional outcome and quality of life.

A Digital Intervention Using Daily Financial Incentives to Increase Medication Adherence in Severe Mental Illness: Single-Arm Longitudinal Pilot Study

BACKGROUND

Medication nonadherence is prevalent in severe mental illness and is associated with multiple negative outcomes. Mobile technology and financial incentives show promise to improve medication adherence; however, studies in mental health, especially with oral medications, are lacking.

OBJECTIVE

The aim of this paper is to assess the feasibility and effectiveness of offering financial incentives through a mobile app based on behavioral economics principles to improve medication adherence in severe mental illness.

METHODS

A 10-week, single-arm longitudinal pilot study was conducted. Patients earned rewards in the context of app-based adherence incentives. The reward was split into biweekly payments made in increments of US $15, minus any US $2 per day penalties for missed check-ins. Time-varying effect modeling was used to summarize the patients' response during the study.

RESULTS

A total of 25 patients were enrolled in this pilot study, of which 72% (n=18) were female, and 48% (n=12) were of a White racial background. Median age was 24 (Q1-Q3: 20.5-30) years. Participants were more frequently diagnosed with schizophrenia and related disorders (n=9, 36%), followed by major depressive disorder (n=8, 32%). App engagement and medication adherence in the first 2 weeks were higher than in the last 8 weeks of the study. At study endpoint, app engagement remained high (n=24, Z=-3.17; P<.001), but medication adherence was not different from baseline (n=24, Z=-0.59; P=.28).

CONCLUSIONS

Financial incentives were effectively delivered using an app and led to high engagement throughout the study and a significantly increased medication adherence for 2 weeks. Leveraging behavioral economics and mobile health technology can increase medication adherence in the short term.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04191876; https://clinicaltrials.gov/ct2/show/NCT04191876.

The Impact of Payment Scheme Changes on Medication Adherence and Persistence of Patients Diagnosed with Depression in Korea

As of 1 July 2018, the Korean National Health Insurance Service (NHIS) changed the fee schedule for individual psychotherapy (IP). We sought to analyze the impact of the IP payment scheme changes on the medication adherence and persistence of patients diagnosed with depression in Korea. We utilized the NHIS claims database from 2017 to 2019. Patients who were newly diagnosed with depression and utilized IP and were prescribed antidepressants during the study period were included. Adherence was measured using the medication possession ratio (MPR), and persistence was measured using the length of therapy (LOT) during the follow-up period. Adherence and persistence during the pre-policy period (before the change of the payment scheme, from January 2018 until June 2018) and the post-policy period (after the change, from July 2018 until December 2019) were compared. During the study period, a total of 176,740 patients with depression were identified. The average MPR significantly increased from 0.20 to 0.33 in the pre- and post-policy periods, respectively (p < 0.001). The average LOT of the patients improved considerably from 36 to 56 days in the pre- and post-policy periods, respectively (p < 0.001). Poisson regression analysis showed that patients with depression who were female, 19-34 years of age (vs. 50-64 years or over 64 years), and in the post-policy period were significantly associated with greater adherence and persistence rates. Payment scheme changes were associated with an increased adherence and persistence of medication use among patients diagnosed with depression.

The effect of initial antidepressant type on treatment adherence in outpatients with new onset depression

BACKGROUND

Continuous use of antidepressants can relieve depressive symptoms and prevent recurrence in people with depression; however, many studies have reported low drug compliance rates. This study aimed to investigate the relationship between the type of initial antidepressants and treatment adherence in outpatients with new onset depression.

METHODS

This was a retrospective cohort study using National Health Insurance claim data for services provided in 2012. We examined data from 142,336 individuals aged 18 years or older, who were continuously enrolled in treatment after a new episode of depression, and had initiated antidepressant treatment. A new diagnosis of depression, is defined as a first reported diagnosis of depression in the preceding five years. Adherence was operationally defined as the antidepressant being dispensed to the patient at least 80% of the time during the first three- and six-month treatment periods. To investigate the relationship between the initial type of antidepressants and treatment adherence, we estimated adjusted odds ratios and 95% confidence intervals using logistic regression analysis, adjusting for socio-demographic and health care utilization characteristics.

RESULTS

A statistically significant association was found between initial antidepressant type and adherence in the first three- and six-month treatment periods for employed and self-employed patients newly diagnosed with major depression. In addition, patients with starting prescriptions for tricyclic antidepressants had significantly lower adherence compared to selective serotonin reuptake inhibitors.

LIMITATIONS

This study used national insurance data; therefore, only variables on the claim form were available, and psychological and environmental factors were not considered.

CONCLUSIONS

This was the first study to demonstrate the relationship between initial antidepressant type and treatment adherence among Korean outpatients with new onset depression.

Effectiveness of interventions to improve medication adherence in adults with depressive disorders: a meta-analysis

BACKGROUND

Non-adherence to medication is a major obstacle in the treatment of depressive disorders. We systematically reviewed the literature to evaluate the effectiveness of interventions aimed at improving adherence to medication among adults with depressive disorders with emphasis on initiation and implementation phase.

METHODS

We searched Medline, EMBASE, The Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, Social Science Citation Index and Science Citation Index for randomized or non-randomized controlled trials up to January 2022. Risk of bias was assessed using the criteria of the Cochrane Collaboration. Meta-analyses, cumulative and meta-regression analyses for adherence were conducted.

RESULTS

Forty-six trials (n = 24,324) were included. Pooled estimate indicates an increase in the probability of adherence to antidepressants at 6 months with the different types of interventions (OR 1.33; 95% CI: 1.09 to 1.62). The improvement in adherence is obtained from 3 months (OR 1.62, 95% CI: 1.25 to 2.10) but it is attenuated at 12 months (OR 1.25, 95% CI: 1.02 to 1.53). Selected articles show methodological differences, mainly the diversity of both the severity of the depressive disorder and intervention procedures. In the samples of these studies, patients with depression and anxiety seem to benefit most from intervention (OR 2.77, 95% CI: 1.74 to 4.42) and collaborative care is the most effective intervention to improve adherence (OR 1.88, 95% CI: 1.40 to 2.54).

CONCLUSIONS

Our findings indicate that interventions aimed at improving adherence to medication among adults with depressive disorders are effective up to six months. However, the evidence on the effectiveness of long-term adherence is insufficient and supports the need for further research efforts.

TRIAL REGISTRATION

International Prospective Register for Systematic Reviews (PROSPERO) number: CRD42017065723 .

Identifying temporal patterns of adherence to antidepressants, bisphosphonates and statins, and associated patient factors

Background

Group-based trajectory modelling (GBTM) has recently been explored internationally as an improved approach to measuring medication adherence (MA) by differentiating between alternative temporal patterns of nonadherence. To build on this international research, we use the method to identify temporal patterns of medication adherence to antidepressants, bisphosphonates or statins, and their associations with patient characteristics.

Objectives

The objectives include identification of MA types using GBTM, exploration of features and associated patient characteristics of each MA type, and identification of the advantages of GBTM compared to the traditional proportion of days covered (PDC) measure.

Data and methods

We used 45 and Up Study survey data which contains information about demographics, family, health, diet, work and lifestyle of 267,153 participants aged at least 45 years across New South Wales, Australia. This data was linked to participant records of medication use, outpatient and inpatient care, and death. Our study participants initiated use of antidepressants (9287 participants), bisphosphonates (1660 participants) or statins (10,242 participants) during 2012–2016. MA types were identified from 180-day patterns of medication use for antidepressants and 360-day patterns for bisphosphonates and statins. Multinomial and binomial logistic regressions were performed to estimate participant characteristics associated with GBTM MA and PDC MA, respectively.

Results

Three GBTM MA types were identified for antidepressants and six for bisphosphonates and statins. For all three medications, MA types included: almost fully adherent; decreasing adherence and early discontinuation. The additional nonadherent types for bisphosphonates and statins were improved adherence, low adherence and later discontinuation. Participant characteristics impacting GBTM MA and PDC MA were consistent. However, several associations were uniquely found for GBTM MA as compared to PDC MA.

Conclusion

GBTM permits clinicians, policy-makers and researchers to differentiate between alternative nonadherence patterns, allowing them to better identify patients at risk of poor adherence and tailor interventions accordingly.

•

Medication adherence was categorised using group-based trajectory modelling (GBTM).

•

GBTM categories include adherence, early discontinuation and decreasing adherence.

•

Demographic, economic, health and other factors determined GBTM categories.

•

GBTM provides additional information to better target adherence interventions.

Characterizing primary care for patients with major depressive disorder using electronic health records of a US-based healthcare provider

BACKGROUND

Major depressive disorder (MDD) is predominantly managed in primary care. However, primary care providers (PCPs) may not consistently follow evidence-based treatment algorithms, leading to variable patient management that can impact outcomes.

METHODS

We retrospectively analyzed adult patients with MDD seen at Geisinger, an integrated health system. Utilizing electronic health record (EHR) data, we classified patients as having MDD based on International Classification of Disease (ICD)-9/10 codes or a Patient Health Questionnaire (PHQ)-9 score ≥5. Outcomes assessed included time to first visit with a PCP or behavioral health specialist following diagnosis, antidepressant medication switching, persistence, healthcare resource utilization (HRU), and treatment costs.

RESULTS

Among the 38,321 patients with MDD managed in primary care in this study, significant delays between diagnosis with antidepressant prescribing and follow-up PCP visits were observed. There was also considerable variation in care following diagnosis. Overall, 34.9% of patients with an ICD-9/10 diagnosis of MDD and 41.3% with a PHQ-9 score ≥15 switched antidepressants. An ICD-9/10 diagnosis, but not moderately severe to severe depression, was associated with higher costs and HRU. More than 75% of patients with MDD discontinued antidepressant medication within 6 months.

LIMITATIONS

The study population was comparable with other real-world studies of MDD, but study limitations include its retrospective nature and reliance on the accuracy of EHRs.

CONCLUSIONS

Management of patients with MDD in a primary care setting is variable. Addressing these gaps will have important implications for ensuring optimal patient management, which may reduce HRU and treatment medication costs, and improve treatment persistence.

Incremental burden of relapse in patients with major depressive disorder: a real-world, retrospective cohort study using claims data

BACKGROUND

Relapse is common in major depressive disorder (MDD). In this study, we evaluated the incremental health care burden of relapse in patients with MDD.

METHODS

This real-world retrospective cohort study used administrative medical and pharmacy claims data to identify commercially insured adult patients in the United States diagnosed with MDD who initiated a new antidepressant between January 1, 2012, and September 30, 2017. All-cause health care resource utilization, total costs, and medication adherence were evaluated in two cohorts: patients with and patients without relapse. Relapse was defined as suicide attempts, psychiatric hospitalization, mental health-related emergency department (ED) visit, use of electroconvulsive therapy, or reinitiation of treatment after a gap ≥6 months.

RESULTS

The study population included 14,186 patients (7093 baseline-matched patients per cohort). The mean follow-up period was 27.5 and 26.0 months for patients with and patients without relapse, respectively. Patients with relapse had significantly higher rates of hospitalization (16.6% vs 8.5%; p < .0001) and ED visits (54.8% vs 34.7%; p < .0001) than patients without relapse. The total costs for patients with relapse were significantly higher ($12,594 vs $10,445;  p < .0001). Patients with relapse were also less adherent to antidepressants (mean proportion of days covered, 0.43 vs 0.49; p < .0001).

CONCLUSIONS

Relapse of MDD was associated with increased total costs and health care utilization and lower adherence to antidepressants. Reducing the risk of relapse may result in a reduction of the associated health care burden; however, findings may only be generalizable to patients with commercial insurance.

A Delphi-method-based consensus guideline for definition of treatment-resistant depression for clinical trials

Criteria for treatment-resistant depression (TRD) and partially responsive depression (PRD) as subtypes of major depressive disorder (MDD) are not unequivocally defined. In the present document we used a Delphi-method-based consensus approach to define TRD and PRD and to serve as operational criteria for future clinical studies, especially if conducted for regulatory purposes. We reviewed the literature and brought together a group of international experts (including clinicians, academics, researchers, employees of pharmaceutical companies, regulatory bodies representatives, and one person with lived experience) to evaluate the state-of-the-art and main controversies regarding the current classification. We then provided recommendations on how to design clinical trials, and on how to guide research in unmet needs and knowledge gaps. This report will feed into one of the main objectives of the EUropean Patient-cEntric clinicAl tRial pLatforms, Innovative Medicines Initiative (EU-PEARL, IMI) MDD project, to design a protocol for platform trials of new medications for TRD/PRD.

Biological and Psychological Stress Correlates Are Linked to Glucose Metabolism, Obesity, and Gender Roles in Women

OBJECTIVES

Psychological stress affects central as well as peripheral metabolism and hormone trafficking via the hypothalamic-pituitary-adrenal axis. Stress thereby plays a decisive role in the etiology and progression of overweight and obesity, leading to several chronic diseases, such as diabetes, and mental health disorders. The interplay of biological and psychometric correlates of stress, anthropometric, immunological, and metabolic parameters and psychosocial factors such as gender roles, however, remains poorly understood.

METHODS

In this exploratory study, 43 healthy women were assessed for glucose metabolism by an oral glucose tolerance test and computation of functional parameters for insulin secretion, sensitivity, and resistance. Further, the fatty liver index (FLI) and anthropometric parameters body mass index (BMI), waist-to-hip ratio, body fat, and lean mass were assessed. Psychological stress assessment included the "Brief Symptom Inventory" (BSI), the "Burnout Dimensions Inventory" (BODI), and Perceived Stress Scale (PSS). Biological stress response was evaluated with heart rate variability and cortisol levels. Finally, gender role self-identification was assessed with the "Bem Sex-Role Inventory" (BSRI). Generalized linear models were computed for exploratory association with psychometric outcome. Uncorrected p values are reported.

RESULTS

Burnout and PSS scores were associated with insulin secretion, sputum cortisol, thyroid-stimulating hormone, anthropometric measures, and gender role. BSI ratings for psychiatric symptom dimensions were associated with insulin resistance, sex hormones, anthropometric measures, and gender role. Female self-identification was associated with higher BMI as well as body fat and a higher FLI.

CONCLUSIONS

Considering the increased risk of unfavorable metabolic, cardiovascular, and also mental health outcome in obese women, a higher BMI in women with predominant female gender self-identification may be relevant for clinical risk assessment. The broad range of interacting biological, psychological, and gender-related parameters calls for an integrative management of both mental and endocrinological health. However, the exploratory nature of the study requires replication in larger samples before definite conclusion can be drawn.

Telemedicine as a Tool to Improve Medicine Adherence in Patients with Affective Disorders - A Systematic Literature Review

Affective disorders are a common psychological impairment. A major problem with respect to treatment is medication non-adherence. eHealth interventions are already widely used in the treatment of patients living with affective disorders. The aim of this systematic literature review is to obtain the current scientific evidence to eHealth as a tool to improve medication adherence in patients with affective disorders. A systematic search was performed across PubMed, Cochrane Library, Web of Science and PsycInfo. Studies in English and German published between 2007 and 2020 were included. The review followed the PRISMA guidelines and were performed with the CADIMA online tool. A total of 17 articles were included in this review. Eleven studies were randomized controlled trials, two were controlled clinical trials, and four had a pre-/post-design. Three different types of interventions could be identified: internet-based self-management programs (n=4), multi-faceted interventions addressing different dimensions of medication adherence (n=4), and single-faceted interventions (n=9) comprising four mobile interventions and five telehealth interventions. Eleven interventions addressed patients with (comorbid) depressions and six addressed patients with bipolar disorders. Six interventions showed a statistically significant positive effect on medication adherence. None of the studies showed a statistically significant negative effect. All interventions which had a statistically significant positive effect on medication adherence involved personal contacts between therapists and patients. All included eHealth interventions are at least as effective as control conditions and seems to be effective for patients with depression as well as with bipolar disorders. Personal contacts seem to improve the effectiveness of eHealth interventions. eHealth interventions are an effective way to improve medication adherence in patients with affective disorders. In rural or underserved regions, eHealth can supplement usual care interventions on medication adherence by expanding access. More analyses are needed in order to understand determinants for the effectiveness of eHealth interventions on medication adherence enhancement.

Adherence to Desvenlafaxine Versus Usual Care and Its Impact on Health Outcomes: A Comparative Real-world Clinical Study

BACKGROUND AND OBJECTIVE

Low adherence to treatment is associated with poorer clinical outcome and greater healthcare resources utilization (HRU). Limited data are available on the extent of adherence to each individual antidepressant. The goal of this study was to compare the adherence rate to desvenlafaxine versus usual care with selective serotonin reuptake inhibitors (SSRI) and/or other serotonin-norepinephrine reuptake inhibitors (SNRI), in subjects with major depressive disorder (MDD).

METHODS

Retrospective, multi-centric, observational study including 574 outpatients with MDD. Data were collected from mental and primary care centers. Adherence, persistence, effectiveness, and HRU was evaluated through multivariate regression models.

RESULTS

At 12-months, adjusted adherence rate was higher with desvenlafaxine versus SNRI/SSRI, 67.9% versus 59.9% (OR 1.66, 95% CI 1.07-2.59, p = 0.024). Remission rate was numerically higher with desvenlafaxine versus SNRI/SSRI, 55.9% versus 50.1% (OR 1.35, 95% CI 0.93-1.98, p = 0.118), as well as treatment response, 76.5% in desvenlafaxine group versus 70.8% in SNRI/SSRI group (OR 1.25, 95% CI 0.82-1.90, p = 0.300). Medical visits use was higher in SNRI/SSRI than in desvenlafaxine group [9.8 (4.8) versus 9.1 (6.0), p = 0.019].

CONCLUSIONS

Desvenlafaxine is significantly associated with a higher adherence rate at 12 months compared to usual care based on SSRI or other SNRI. This suggests that desvenlafaxine could improve disease management having a positive impact on disease-associated costs.

Short Term Caloric Restriction and Biofeedback Enhance Psychological Wellbeing and Reduce Overweight in Healthy Women

Obesity is highly prevalent, causing substantial cardiovascular and mental health morbidity. Women show increased risk for mental health disorders, that is multiplied in obesity and related to cellular and psychological stress that can be targeted by non-pharmacological interventions. A total of 43 women underwent two weeks of caloric restriction, half of which also received 7 h of individualized clinical psychological intervention including psychoeducation, mindfulness, and heart-rate-variability biofeedback. Effects on body mass index (BMI), fatty liver index (FLI), bioimpedance measures, serum parameters, perceived stress (PSS), burn-out susceptibility (burn out diagnostic inventory) and dimensional psychiatric symptom load (brief symptom inventory, BSI) were analyzed with linear mixed effects models. Caloric restriction led to a reduction in BMI, body fat and FLI, decreased serum concentrations of leptin, PSS score, BSI dimensions and global severity index (all p ≤ 0.0001, withstanding Bonferroni–Holm correction). Benefits of add-on biofeedback were observed for BMI reduction (p = 0.041). Caloric restriction was effective in ameliorating both psychological wellbeing and metabolic functions following a BMI reduction. Biofeedback boosted effects on BMI reduction and the combinative therapy may be protective against common progression to mental health and cardiovascular disorders in overweight women while comparing favorably to pharmacological interventions in terms of side-effects and acceptability.

Patient Factors Influencing Outpatient Retention in Patients with Affective and Anxiety Disorders: A Retrospective Study

OBJECTIVE

The aim of the present study is to identify the factors that affect retention in outpatients with psychiatric disorders as indicators of treatment adherence, including Minnesota Multiphasic Personality Inventory (MMPI) scores.

METHODS

The medical records of 146 patients diagnosed with major depressive disorder, bipolar disorder, or anxiety disorder for at least 10 years and discharged were retrospectively reviewed in the present study. The subjects were categorized based on the duration of outpatient treatment as < 6 months (L6) or ≥ 6 months (M6) groups and reclassified as < 36 months (L36) and ≥ 36 months (M36) groups. The demographic, clinical, and personality characteristics of the groups were compared.

RESULTS

Patients in M6 and M36 groups were more likely to have a higher educational level compared with those in the L6 and L36 groups, respectively. Patients in the M6 group showed significantly lower hypomania (Ma) scores on the MMPI test than did patients in the L6 group.

CONCLUSION

The association between high Ma score on the MMPI test and early discontinuation of treatment suggests that impulsivity, hostility, and disinhibition confer higher risk of nonadherence.

Use of psychotropic drugs among older patients with bladder cancer in the United States

OBJECTIVE

Older patients diagnosed with cancer are at increased risk of physical and emotional distress; however, prescription utilization patterns largely remain to be elucidated. Our objective was to comprehensively assess prescription patterns and predictors in older patients with bladder cancer.

METHODS

A total of 10,516 older patients diagnosed with clinical stage T1-T4a, N0, M0 bladder urothelial carcinoma from 1 January 2008 to 31 December 2012 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare were analyzed. We used multivariable analysis to determine predictors associated with psychotropic prescription rates (one or more). Medication possession ratio (MPR) was used as an index to measure adherence in intervals of 3 months, 6 months, 1 year, and 2 years. Evaluation of psychotropic prescribing patterns and adherence across different drugs and demographic factors was done.

RESULTS

Of the 10,516 older patients, 5621 (53%) were prescribed psychotropic drugs following cancer diagnosis. Overall, 3972 (38%) patients had previous psychotropic prescriptions prior to cancer diagnosis, and these patients were much more likely to receive a post-cancer diagnosis prescription. Prescription rates for psychotropic medications were higher among patients with higher stage BC (p < 0.001). Gamma aminobutyric acid modulators/stimulators and serotonin reuptake inhibitors/stimulators were the highest prescribed psychotropic drugs in 21% of all patients. Adherence for all drugs was 32% at 3 months and continued to decrease over time.

CONCLUSION

Over half of the patients received psychotropic prescriptions within 2 years of their cancer diagnosis. Given the chronicity of psychiatric disorders with observed significantly low adherence to medications that warrants an emphasis on prolonged patient monitoring and further investigation.

Cost-per-remitter with esketamine nasal spray versus standard of care for treatment-resistant depression

Aim: Estimate the cost-per-remitter with esketamine nasal spray plus an oral antidepressant (ESK + oral AD) versus oral AD plus nasal placebo (oral AD + PBO) among patients with treatment-resistant depression. Patients & methods: An Excel-based model was developed to estimate the cost-per-remitter for ESK + oral AD versus oral AD + PBO over 52 weeks from multiple US payer perspectives. Clinical end points and cost inputs were derived from clinical trials and the literature, respectively. Results: Under the base-case scenario, the cost-per-remitter for ESK + oral AD and oral AD + PBO were as follows: Commercial: US$85,808 versus US$100,198; Medicaid: US$76,236 versus US$96,067; Veteran's Affairs: US$77,765 versus US$104,519; and Integrated Delivery Network: US$103,924 versus US$142,766. Conclusion: The findings suggest that ESK + oral AD is a cost-efficient alternative treatment for treatment-resistant depression compared with oral AD + PBO.

Choosing an antidepressant

A biopsychosocial and lifestyle approach should be used when managing depression. Many patients seen in primary care do not require drug therapy

Evidence-based treatments such as psychological therapies and antidepressant drugs are effective for depression. All patients should receive education about depression

Shared decision making with the patient is critical if an antidepressant is prescribed. The choice of antidepressant depends on its efficacy and tolerability, the depressive presentation, patient preference and drug interactions

Health care resource utilization and costs associated with nonadherence and nonpersistence to antidepressants in major depressive disorder

BACKGROUND: Nonadherence and nonpersistence to antidepressants in major depressive disorder (MDD) are common and associated with poor clinical and functional outcomes and increased health care resource utilization (HCRU) and costs. However, contemporary real-world evidence on the economic effect of antidepressant nonadherence and nonpersistence is limited. OBJECTIVE: To assess the effect of nonadherence and nonpersistence to antidepressants on HCRU and costs in adult patients with MDD enrolled in U.S. commercial and Medicare supplemental insurance plans. METHODS: This was a retrospective new-user cohort study using administrative claims data from the IBM MarketScan Commercial and Medicare Supplemental databases from January 1, 2010, to December 31, 2018. We identified adult patients with MDD aged ≥ 18 years who initiated antidepressant therapy for a new MDD episode between January 1, 2011, and December 31, 2017. Twelve-month total all-cause HCRU and costs (2019 U.S. dollars) were characterized for patients who were adherent/nonadherent and persistent/nonpersistent to antidepressants at 6 months. Adherence was defined as having proportion of days covered (PDC) ≥ 80%, and persistence was defined as having continuous antidepressant therapy without a ≥ 30-day gap. Multivariable negative binomial regression and 2-part models adjusted for baseline characteristics were used to estimate incidence rate ratios (IRRs) for HCRU and incremental costs of nonadherence and nonpersistence, respectively. RESULTS: A total of 224,645 patients with MDD (commercial: n = 209,422; Medicare supplemental: n = 15,223) met all study inclusion criteria. Approximately half of patients were nonadherent (commercial: 48%; Medicare supplemental: 50%) or nonpersistent (commercial: 49%; Medicare supplemental: 52%) to antidepressants at 6 months. After controlling for baseline characteristics, nonadherent patients experienced significantly more inpatient hospitalizations (commercial, adjusted IRR [95% CI]: 1.34 [1.29 to 1.39]; Medicare supplemental: 1.19 [1.12 to 1.28]) and emergency room (ER) visits (commercial, adjusted IRR [95% CI]: 1.43 [1.40 to 1.45]; Medicare supplemental: 1.28 [1.21 to 1.36]) compared with adherent patients. Similar results were observed in nonpersistent patients. Adjusted mean differences revealed that nonadherent and nonpersistent patients accumulated significantly higher medical costs (commercial: $568 [95% CI: $354 to $764] and $491 [$284 to $703]; Medicare supplemental: $1,621 [$314 to $2,774] and $1,764 [$451 to $2,925]), inpatient costs (commercial: $650 [$490 to $801] and $564 [$417 to $716]; Medicare supplemental: $1,546 [$705 to $2,308] and $1,567 [$778 to $2,331]), and ER costs (commercial: $130 [$115 to $143] and $129 [$115 to $142]; Medicare supplemental: $82 [$23 to $150] and $80 [$18 to $150]), and incurred significantly lower pharmacy costs (commercial: -$561 [-$601 to -$521] and -$576 [-$616 to -$540]; Medicare supplemental: -$510 [-$747 to -$227] and -$596 [-$830 to -$325]) compared with adherent and persistent patients, respectively. CONCLUSIONS: This study found more hospitalizations and ER use and higher total medical costs among patients who were nonadherent and nonpersistent to antidepressants at 6 months. Strategies that promote better adherence and persistence may lower HCRU and medical costs in patients with MDD. DISCLOSURES: This study was sponsored by Allergan, which was involved in the study design; data collection, analysis, and interpretation of data; and decision to present these results. Ta was supported by a training grant provided to the University of Washington by Allergan at the time this study was conducted. Tung and Gillard are employees of Allergan. Oliveri is an employee of Genesis Research. Sullivan and Devine have no financial disclosures. This study was presented as a poster at AMCP 2020 (Virtual Meeting), April 21-24, 2020.

Early discontinuation of pharmacotherapy in U.S. veterans diagnosed with PTSD and the role of psychotherapy

More than 50% of individuals who enter treatment for posttraumatic stress disorder (PTSD) are prescribed a psychotropic medication. To date, however, data are limited regarding the prevalence and determinants of discontinuation of psychotropic medication in this population. To address this gap, we analyzed data from 154,953 veterans newly diagnosed with PTSD who were seeking VA treatment and followed them for one year to identify the prevalence and determinants of medication discontinuation. A hazard analysis was conducted to identify factors associated with discontinuation of antidepressant, anxiolytic/hypnotic and antipsychotic medications. Binomial regressions examined the role of these factors in early discontinuation (within 30 days). Results revealed that 71.8% of veterans discontinued medication treatment within 180 days, and 34.6% within 30 days. The strongest risk factors associated with discontinuing medication were no engagement in adjunctive psychotherapy and prescription of a single medication. Older veterans were less likely than younger veterans to discontinue treatment. Similar risk factors were associated with medication discontinuation in the first 30 days. These results suggest that psychiatric comorbidities, age, and race are key risk factors for poor medication adherence, and underscore the importance of early intervention and patient education in promoting adherence to pharmacotherapy for PTSD.

Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments

INTRODUCTION

Efforts have been made in assessing efficacy and tolerability to various antidepressants, but understanding personalized chances of stability to medication switching sequence is still inconclusive. This study aimed to identify naturalistic switching patterns of medication in stratifying MDD patients.

METHODS

MDD patients were stratified based on treatment difficulty evaluated with the "Treatment Resistance to Antidepressants Evaluation Scale for Unipolar Depression" (TRADES). The duration of the time of diagnoses until the final switch to another class of antidepressants was used as prediction of unstable to drug therapy. ROC analysis was used to determine the cutoff values. A continuous temporal events function from the visual analytic tool was employed to perform patterns of switching between distinct pharmacological class such as selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs).

RESULTS

TRADES scores of 4.5 and not-switching times of 12.5 months were used as cutoff values to divide patients into four subgroups: stable/easy-to-treat (SE), unstable/easy-to-treat (UE), stable/difficult-to-treat (SD) and unstable/difficult-to-treat (UD). A total of 80% and 76.9% of patients initially treated with the SSRIs paroxetine or fluoxetine, respectively, were predicted to be stable to drug therapy. Approximately 70%, 44.8% and 41.4% of patients initially treated with the SNRIs fluvoxamine, sertraline and venlafaxine, respectively, were predicted to be UD, and 60% of patients using duloxetine were predicted to be stable to drug therapy. Analysis of the switching phenomenon showed that SSRIs were the first prescribed medications and mostly taken by the stable subgroups, and SNRIs were the preferentially chosen switching alternative. Medication switching patterns in unstable MDD patients are discussed.

CONCLUSION

Paroxetine, fluoxetine and duloxetine users were mostly stable among MDD patients in Taiwan with various stability and difficulty to treatments. Although responsiveness to specific medication sequence is likely required for clinical application, the results provide a baseline for such studies.

Health care resource use, short-term disability days, and costs associated with states of persistence on antidepressant lines of therapy

AIMS

To compare health care resource utilization (HCRU), short-term disability days, and costs between states of persistence on antidepressant lines of therapy after evidence of treatment-resistant depression (TRD).

METHODS

Patients with major depressive disorder (MDD) were identified in the IBM MarketScan Commercial and Medicare Supplemental Databases (01/01/2013-03/04/2019), Multi-State Medicaid Database (01/01/2013-12/31/2018), and Health Productivity Management Database (01/01/2015-12/31/2018). The index date was the date of the first evidence of TRD during the first observed major depressive episode. The follow-up period was divided into 45-day increments and categorized into persistence states: (1) evaluation (first 45 days after evidence of TRD); (2) persistence on the early line after evidence of TRD; (3) persistence on a late line; and (4) non-persistence. HCRU, short-term disability days, and costs were compared between persistence states using multivariate generalized estimating equations.

RESULTS

Among 10,053 patients with TRD, the evaluation state was associated with higher likelihood of all-cause inpatient admissions (odds ratio [OR; 95% confidence interval (CI)] = 1.79 [1.49, 2.14]), emergency department visits (OR [95% CI] = 1.23 [1.12, 1.34]), and outpatient visits (OR [95% CI] = 3.83 [3.51, 4.18]; all p < .001) versus persistence on the early-line therapy. This resulted in $374 higher mean PPPM all-cause health care costs (95% CI = 265, 470; p < .001) during evaluation versus persistence on the early line therapy. The evaluation state was associated with 89% more short-term disability days (OR [95% CI] = 1.89 [1.49, 2.57] and $212 higher mean PPPM short-term disability costs (95% CI = 64, 259) relative to persistence on the early line (both p < .001). Moreover, during persistence on a later line, mean PPPM all-cause health care costs were $141 higher (95% CI = 13, 242; p = .028) relative to the early line.

LIMITATIONS

Medication may have been dispensed but not actually taken.

CONCLUSIONS

Higher costs during the first 45 days after evidence of the presence of TRD and during persistence on a late line relative to persistence on the early-line therapy suggest there are benefits to using more effective treatments earlier.

Personality traits as predictors of exercise treatment adherence in major depressive disorder: lessons from a randomised clinical trial

OBJECTIVE

The objective of this study was to explore the determinants of adherence in the EFFORT-D (EFFect Of Running Therapy) study in a specialised mental health care hospital setting.

METHODS

Patients with major depressive disorder (MDD) were given treatment as usual and half were randomised to an exercise intervention. Adherence was measured at 3 months (T3) and 6 months (T6) and was defined as participation in the overall study protocol (total n = 42, adhered n = 28) or intervention (total n = 24, adhered n = 9). Potential determinants were age, BMI, tobacco and alcohol use, severity of depression, anxiety, fitness (VO₂max kg^-1 and Wmax kg^-1) and personality traits at baseline. ANOVA, Chi-square tests and block-wise logistic regression were performed, and reliability of the scales was determined.

RESULTS

Numbers were found too low for analyses on smoking, drinking and anxiety. Higher agreeableness was significantly associated with better adherence to the overall study protocol (OR 1.2; p = 0.03; 95% CI: 1.01-1.4) and severity of depression was negatively associated with adherence in the intervention group (OR 0.70; p = 0.046;95% CI: 0.49-0.99).

CONCLUSIONS

To adhere to a study protocol involving exercise or to a clinical exercise programme, MDD patients need substantial personal support. Measurement of personality traits and the severity of depression as potential predictors of adherence could be considered for this purpose. Keypoints Adherence to exercise and study protocols in a randomised controlled trial was low Patients with severe major depressive disorder need substantial personal support Measurement of personality traits could be considered.

The influence of antidepressant and psychotherapy treatment adherence on future work leaves for patients with major depressive disorder

BACKGROUND

Depression is the greatest contributor to worldwide disability. The purpose of this study was to understand the influence of antidepressant and psychotherapy treatment adherence on future work leaves for patients with major depressive disorder.

METHODS

Patients with a newly diagnosed major depressive disorder (n = 26,256) were identified in IBM® Watson™ MarketScan® medical and disability claims databases. Antidepressant and psychotherapy adherence metrics were evaluated in the acute phase of treatment, defined as the 114 days following the depression diagnosis. Multiple variable Cox proportional hazards regression models evaluated the influence of antidepressant and/or psychotherapy adherence on future injury or illness work leaves.

RESULTS

The majority of work leaves in the 2-year follow-up period occurred in the acute phase of treatment (71.2%). Among patients without a work leave in the acute phase and who received antidepressants and/or psychotherapy (n = 19,994), those who were adherent to antidepressant or psychotherapy treatment in the acute phase had a 16% (HR = 0.84, 95% CI = 0.77-0.91) reduced risk of a future work leave compared to treatment non-adherent patients. Patients who were non-adherent or adherent to antidepressant treatment had a 22% (HR = 1.22, 95% CI = 1.11-1.35) and 13% (HR = 1.13, 95% CI = 1.01-1.27) greater risk of a future work leave, respectively, than patients not receiving antidepressant treatment. Conversely, patients who were non-adherent or adherent to psychotherapy treatment had a 9% (HR = 0.91, 95% CI = 0.81-1.02) and 28% (HR = 0.72, 95% CI = 0.64-0.82) reduced risk of a future work leave, respectively, than patients not receiving psychotherapy treatment.

CONCLUSIONS

This analysis suggests that treatment adherence may reduce the likelihood of a future work leave for patients with newly diagnosed major depressive disorder. Psychotherapy appears more effective than antidepressants in reducing the risk of a future work leave.

Improving Depression Outcome by Patient-Centered Medical Management

(Reprinted with permission from The American Journal of Psychiatry 2018; 175:1187-1198).

Causes of drug discontinuation in patients with major depressive disorder in China

BACKGROUND

This research was designed to investigate patient-reported and doctor-reported reasons for the discontinuation of pharmacological treatment in Chinese patients with major depressive disorder (MDD), which was part of the National Survey on Symptomatology of Depression (NSSD) from 2014 to 2015.

METHODS

This cross-sectional study included 649 patients who had discontinued antidepressant medications and 711 patients who had remained on them, selected from a group of 3516 candidates who have had at least one depressive episode. Differences in the two groups' sociodemographic factors, clinical characteristics, medication use, and self-reported reasons for drug discontinuation were compared via Student's t-test or chi-square test. Logistic regression analysis was then used to determine the association of all non-subjective dichotomous and ordinal categorical variables, including the additional 63 items of our physician-evaluated symptomatic assessment, with drug compliance.

RESULTS

Compared to the spontaneous drug discontinuation (SDD) group, the drug adherence (DA) group had significantly lower rates of the following: family history of mental disease (9.0% vs 13.6%), highest level of education achieved being post-graduate or above (1.6% vs 4.7%), smoking (5.8% vs 9.7%), and other health problems (33.9% vs 42.4%) (p's < 0.05). On the other hand, first-episode depression (48.5% vs 21.9%) and taking of mood stabilizer(s) (8.3% vs 5.6%) were higher in the former group than in the latter (p's < 0.05). Logistic Regression Analysis showed that five symptoms, such as depressed mood, were correlated positively with SDD, while another six symptoms, such as psychomotor retardation, were correlated negatively with it. The receiver operating characteristic (ROC) curve of this model yielded an area under the curve (AUC) of 0.701 (95% CI, 0.673-0.729). Notably, there were three main reasons given by patients in the DA group as to why they discontinued their medication(s): (1) concern about long-term side effects (36.1%), (2) no perceived need for taking said medication(s) long-term (34.2%), and (3) believing oneself to have been cured completely (30.0%).

CONCLUSIONS

The aforementioned factors may affect patient compliance and elicit maladaptive thinking even from patients with good educational backgrounds, increasing the risk of drug discontinuation. Compliance of pharmacological treatment might be improved by increasing clarification and elucidation of different symptom clusters to the patient and combating the main reasons for drug discontinuation.

Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019

BACKGROUND

Understanding how patients are treated in the real-world is vital to identifying potential gaps in care. We describe the current pharmacologic treatment patterns for the treatment of depression.

METHODS

Patients with depression were identified from four large national claims databases during 1/1/2014-1/31/2019. Patients had ≥2 diagnoses for depression or an inpatient hospitalization with a diagnosis of depression. Patients were required to have enrollment in the database ≥1 year prior to and 3 years following their first depression diagnosis. Treatment patterns were captured at the class level and included selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors, tricyclic antidepressants, other antidepressants, anxiolytics, hypnotics/sedatives, and antipsychotics. Treatment patterns were captured during all available follow-up.

RESULTS

We identified 269,668 patients diagnosed with depression. The proportion not receiving any pharmacological treatment during follow-up ranged from 29 to 52%. Of the treated, approximately half received ≥2 different classes of therapy, a quarter received ≥3 classes and more than 10% received 4 or more. SSRIs were the most common first-line treatment; however, many patients received an anxiolytic, hypnotic/sedative, or antipsychotic prior to any antidepressive treatment. Treatment with a combination of classes ranged from approximately 20% of first-line therapies to 40% of fourth-line.

CONCLUSIONS

Many patients diagnosed with depression go untreated and many others receive a non-antidepressant medication class as their first treatment. More than half of patients received more than one type of treatment class during the study follow up, suggesting that the first treatment received may not be optimal for most patients.

How to improve adherence to antidepressant treatments in patients with major depression: a psychoeducational consensus checklist

Studies conducted in primary care as well as in psychiatric settings show that more than half of patients suffering from major depressive disorder (MDD) have poor adherence to antidepressants. Patients prematurely discontinue antidepressant therapy for various reasons, including patient-related (e.g., misperceptions about antidepressants, side-effects, and lack of tolerability), clinician-related (e.g., insufficient instruction received by clinicians about the medication, lack of shared decision-making, and follow-up care), as well as structural factors (e.g., access, cost, and stigma). The high rate of poor adherence to antidepressant treatments provides the impetus for identifying factors that are contributing to noncompliance in an individual patient, to implement a careful education about this phenomenon. As adherence to antidepressants is one of the major unmet needs in MDD treatment, being associated with negative outcomes, we sought to identify a series of priorities to be discussed with persons with MDD with the larger aim to improve treatment adherence. To do so, we analyzed a series of epidemiological findings and clinical reasons for this phenomenon, and then proceeded to define through a multi-step consensus a set of recommendations to be provided by psychiatrists and other practitioners at the time of the first (prescription) visit with patients. Herein, we report the results of this initiative.

Assessing Refill Data Among Different Classes of Antidepressants

No significant difference was seen in between-class adherence when comparing SSRIs, SNRIs, bupropion, and mirtazapine during a 3-month study of veterans newly initiated on antidepressants.

Does the rapid response of an antidepressant contribute to better cost-effectiveness? Comparison between mirtazapine and SSRIs for first-line treatment of depression in Japan

AIM

Previous studies indicate that mirtazapine is unique in its quick responsiveness compared to other antidepressants. Although some other studies have evaluated its cost-effectiveness, they have not considered its early stage remission rate. The aim of this study was to address this research gap by using precise clinical data to evaluate the cost-effectiveness of mirtazapine in Japan.

METHODS

We developed a Markov model to reflect the week-by-week transition probabilities. The Markov cycle was set as 1 week. While our clinical parameters were obtained largely from existing meta-analyses, cost data were derived from government reports. Cost-effectiveness was evaluated by incremental cost-effectiveness ratios (ICERs) per quality-adjusted life year estimated based on the probability sensitivity analyses. The ICERs were estimated at 2, 8, 26, and 52 weeks.

RESULTS

In severe depression, the ICERs ranged between JPY 872 153 and 1 772 723. The probability of mirtazapine being cost-effective ranged from 0.75 to 0.99 when the ICER threshold was JPY 5 000 000. In moderate depression, the ICERs ranged between JPY 2 356 499 and 4 770 145. The probability of mirtazapine being cost-effective ranged from 0.55 to 0.83 when the ICER threshold was JPY 5 000 000.

CONCLUSION

When considering the early stage efficacy of mirtazapine, it appeared to be cost-effective compared to selective serotonin reuptake inhibitors, especially for severe depression and in the early stage treatment in the Japanese setting. However, our study has some limitations. First, mirtazapine is compared with batched selective serotonin reuptake inhibitors rather than individual ones. Second, we did not consider antidepressant combination therapy as treatment options.

Use of mental health services by community-resident adults with DSM-IV anxiety and mood disorders in a violence-prone area: São Paulo, Brazil

BACKGROUND

While under-use of mental health services by adults with anxiety and/or depression is well established, use in a violence-prone area, and as a function of diagnosis and personality characteristics such resilience, is little known. We examine the sociodemographic and personality characteristics (specifically resilience), associated with use of mental health services in a violence-prone city by those with anxiety, depression, and their comorbidity.

METHODS

The structured Composite International Diagnostic Interview was used to identify 12-month DSM-IV- and ICD-10-defined anxiety and depression in a cross-sectional, representative, community-resident sample age 15-75y (N = 2536) in São Paulo, Brazil, and their use of mental health services. Resilience was determined by the Wagnild and Young scale. Analyses, using weighted, design-corrected statistical tests, included frequency measures and multivariable logistic regression.

RESULTS

Mental health services were used by 10% with only anxiety, 22% with only depression, and 34% with comorbidity, with odds of use in controlled analyses doubling from anxiety to depression to comorbidity. Use was significantly higher among those who were white, older (age >30 years, with substantial social support, low resilience, living in low homicide rate areas; use was not affected by experience of traumatic events. Psychiatrists, general practitioners, and psychologists were the primary providers.

LIMITATIONS

Cross-sectional design CONCLUSIONS: Contrary to expectation, use was greater among residents of lower homicide areas, and was not associated with personal traumatic experience. This may reflect increased immunity to violence in higher homicidal rate areas, lower resilience, and poorer access to services. Increased access to mental health services is needed.

Prevalence, treatment patterns, and stay characteristics associated with hospitalizations for major depressive disorder

BACKGROUND

Hospitalizations for major depressive disorder (MDD) are a significant burden on patients, their families, and to healthcare systems. This study characterized the prevalence of MDD hospitalizations in the US and described clinical characteristics, treatment patterns, length of stay, costs, and MDD-related hospitalization readmissions.

METHODS

A retrospective analysis of the Premier Perspective^® Hospital Database was conducted using records of hospital admissions for MDD from January 1, 2014 to December 31, 2015. To supplement this analysis, healthcare claims data from Truven MarketScan^® Research Database were also evaluated between January 1, 2013 and December 31, 2014.

RESULTS

Among adult hospital stays in the Premier network, 1.3% included a primary diagnosis of MDD. The mean length of MDD-related stays was 6 days, with a mean total hospital charge per stay of $6713. Of those with hospital stays, 5.2% of patients had at least 1 readmission for MDD within 30 days of discharge. In the MarketScan database, 4% of adults with MDD had a MDD-related hospital stay, with a mean length of stay of 6 days and total reimbursed amount per stay of $8441. Of those with hospital stays, 5.4% had at least 1 readmission for MDD within 30 days.

LIMITATIONS

Results may not be generalizable to hospitals outside of those represented by these databases.

CONCLUSIONS

Adult MDD hospitalizations are costly and associated with high rates of readmission. There is a need for new treatments that may help reduce hospitalizations and costs related to hospitalizations in patients with MDD.

Pharmaco-epidemiology of antidepressant exposure in a UK cohort record-linkage study

OBJECTIVES

Antidepressants are the most commonly prescribed psychiatric medication but concern has been raised about significant increases in their usage in high income countries. We aimed to quantify antidepressant prevalence, incidence, adherence and predictors of use in the adult population.

METHODS

The study record-linked administrative prescribing and morbidity data to the Generation Scotland cohort ( N = 11,052), between 2009 and 2016. Prevalence and incidence of any antidepressant use was determined. Antidepressant adherence was measured using Proportion of Days Covered and Medication Possession Ratio. Time-to-event analysis for incident antidepressant use within 5 years of Generation Scotland: Scottish Family Health Study (GS:SFHS) recruitment was performed to reveal patient-level predictors of use.

RESULTS

Almost one-third (28.0%, 95%CI 26.9-29.1) of the adults in our sample were prescribed at least one antidepressant in the 5-year period 2012-2016. There was a 36.2% increase in annual prevalence between 2010 and 2016. Incidence was 2.4(2.1-2.7)% per year. The majority of antidepressant episodes (57.6%) were greater than 9 months duration and adherence was generally high (69.0% with Proportion of Days Covered >80%). Predictors of new antidepressant use included history of affective disorder, being female, physical comorbidities, higher neuroticism scores, and lower cognitive function scores.

CONCLUSIONS

Antidepressant prevalence is greater than previously reported but incidence remains relatively stable. We found the majority of antidepressant episodes to be of relatively long duration with good estimated adherence. Our study supports the hypothesis that increased long-term use among existing (and returning) users, along with wider ranges of indications for antidepressants, has significantly increased the prevalence of these medications.

Rates and Determinants of Use of Pharmacotherapy and Psychotherapy by Patients With Major Depressive Disorder

OBJECTIVE

Rates and determinants of pharmacological and psychotherapy use were assessed after a major depressive disorder diagnosis.

METHODS

In a retrospective claims study that included 2007-2016 records from the IBM MarketScan research databases, use of pharmacotherapy and psychotherapy was tracked in a population of 24,579 patients with a diagnosis of major depressive disorder. Univariate and multiple variable analyses were used to identify determinants of antidepressant adherence (proportion of days covered ≥.8) and intensive psychotherapy at the beginning of treatment (at least four psychotherapy visits in the first 4 weeks after initiating psychotherapy).

RESULTS

In the 12 months following a diagnosis of major depressive disorder, most individuals received pharmacotherapy or psychotherapy (94.7%), and unimodal therapy was more common (58.5%) than bimodal therapy (36.2%). When antidepressants were initiated (N=13,524), 41.7% and 32.0% of patients were adherent in the acute and continuation phases, respectively. Initial antidepressant dosages were outside guideline recommendations for 34.5% of patients prescribed these medications. When psychotherapy was initiated, the median number of visits in the year after a patient's diagnosis was seven. Most patients (54.7%) did not continue to receive either antidepressant or psychotherapy treatment after month 5 following their diagnosis. A shorter time from diagnosis to treatment and a lower percentage of treatment costs paid by the patient were associated with increased antidepressant adherence and intensive psychotherapy use.

CONCLUSIONS

Findings indicate that treatment guideline recommendations are not followed for a large proportion of patients with major depressive disorder and that improvement is needed in multiple areas to enhance effective treatment.

Persistence with selective serotonin (norepinephrine) reuptake inhibitors in Germany-A retrospective database analysis

INTRODUCTION

Selective serotonin (norepinephrine) reuptake inhibitors (SS(N)RIs) are used in the treatment of depression. The aim of this study was to assess the persistence with SS(N)RIs in outpatients treated by general practitioners (GP) or psychiatrists (PSY) in Germany, and to investigate the association between persistence and the following factors: age, gender, specialty of the physician initiating treatment, initial molecule, and prior antidepressant prescription.

METHODOLOGY

A longitudinal pharmacy database (IMS LRx®) was used to identify patients (>18 years old) who had received an initial prescription (Rx) of an SS(N)RI between January 2014 and December 2016 (index date) from a GP or a PSY. Patients were only included if they had at least one year of pre-index observation time. The primary outcome was the rate of patients without SS(N)RI treatment discontinuation in the 12 months following the index date. Persistence was assessed using the Kaplan-Meier method. Cox regression was used to determine the impact of covariates on persistence.

RESULTS

A total of 1,213,344 patients were eligible to be included (mean age: 55.9 years, 67% women). Twelve months after initiation of SS(N)RI therapy, 28.3% of patients were persistent. Higher age was significantly associated with a lower discontinuation risk. In addition, female gender, treatment initiation by a PSY, and treatment with other antidepressants at the index date were associated with a slightly higher persistence. There were significant associations for the different molecules; however, the absolute differences were small (below 5%).

CONCLUSION

The results show that the proportion of patients receiving long-term SS(N)RI therapy (at least 12 months) was low. Discontinuation depended mainly on age and, to a lesser degree, on gender, the specialty of the physician initiating treatment, other antidepressant prescription at the index date, and initial molecule.

Adherence to and Persistence with Antidepressant Medication during Pregnancy: Does It Differ by the Class of Antidepressant Medication Prescribed?

OBJECTIVE

Pregnant women are often concerned about the impact of medication use on their pregnancy, such as congenital abnormalities. This study examined the rate of adherence to and persistence with antidepressant medications during pregnancy based on the class of antidepressants prescribed.

METHODS

Women who gave birth between 2012 and 2015 in Alberta, Canada; had ≥1 diagnosis of depression within 1 year of preconception in outpatient physician claims, emergency department, or hospitalization administrative data; and were adherent (medication possession ratio ≥80%) to ≥2 consecutive antidepressant prescriptions during the preconception year ( n = 1865) were included in this retrospective cohort study. The rates of adherence and persistence (prescription refill gap ≤30 days) were calculated by antidepressant class and were compared using chi-square tests.

RESULTS

During pregnancy, 834 (44.7%; 95% CI, 42.4% to 47.0%) women discontinued antidepressants. Among those continuing antidepressants, the overall rate of adherence was 62.6% (95% CI, 59.4% to 65.7%). The rate differed significantly by medication class ( P < 0.0001), with a rate of 75.1% (95% CI, 68.3% to 80.9%) for serotonin-norepinephrine inhibitors, 60.9% (95% CI, 57.2% to 64.5%) for selective serotonin reuptake inhibitors, 42.8% (95% CI, 19.9% to 69.3%) for nonselective monoamine reuptake inhibitors, and 37.5% (95% CI, 22.5% to 55.4%) for atypical antidepressants. Only, 40.7% (95% CI, 37.5 to 44.1) of women were persistent with antidepressants for the full pregnancy period-the rate differed significantly by medication class ( P < 0.0001).

CONCLUSIONS

Adherence to and persistence with antidepressants is low during pregnancy and varies by medication class. Low adherence and persistence can interfere with a therapeutic effect of antidepressants, which may contribute to the worsening of depression symptoms.

Using Dispensing Data to Evaluate Adherence Implementation Rates in Community Pharmacy

Background: Medication non-adherence remains a significant problem for the health care system with clinical, humanistic and economic impact. Dispensing data is a valuable and commonly utilized measure due accessibility in electronic health data. The purpose of this study was to analyze the changes on adherence implementation rates before and after a community pharmacist intervention integrated in usual real life practice, incorporating big data analysis techniques to evaluate Proportion of Days Covered (PDC) from pharmacy dispensing data.

Methods: Retrospective observational study. A de-identified database of dispensing data from 20,335 patients (n = 11,257 on rosuvastatin, n = 6,797 on irbesartan, and n = 2,281 on desvenlafaxine) was analyzed. Included patients received a pharmacist-led medication adherence intervention and had dispensing records before and after the intervention. As a measure of adherence implementation, PDC was utilized. Analysis of the database was performed using SQL and Python.

Results: Three months after the pharmacist intervention there was an increase on average PDC from 50.2% (SD: 30.1) to 66.9% (SD: 29.9) for rosuvastatin, from 50.8% (SD: 30.3) to 68% (SD: 29.3) for irbesartan and from 47.3% (SD: 28.4) to 66.3% (SD: 27.3) for desvenlafaxine. These rates declined over 12 months to 62.1% (SD: 32.0) for rosuvastatin, to 62.4% (SD: 32.5) for irbesartan and to 58.1% (SD: 31.1) for desvenlafaxine. In terms of the proportion of adherent patients (PDC >= 80.0%) the trend was similar, increasing after the pharmacist intervention from overall 17.4 to 41.2% and decreasing after one year of analysis to 35.3%.

Conclusion: Big database analysis techniques provided results on adherence implementation over 2 years of analysis. An increase in adherence rates was observed after the pharmacist intervention, followed by a gradual decrease over time. Enhancing the current intervention using an evidence-based approach and integrating big database analysis techniques to a real-time measurement of adherence could help community pharmacies improve and sustain medication adherence.

Does oral administration of ketamine accelerate response to treatment in major depressive disorder? Results of a double-blind controlled trial

BACKGROUND

Major depressive disorder (MDD) exerts a high health and financial burden on society. The conventional pharmacotherapies for MDD are partially effective and the response to medication often starts with some delay. There are recent reports of antidepressant effects for oral ketamine.

METHODS

We employed a double-blind controlled trial to examine the time course of the therapeutic effect of ketamine when combined with the conventional administration of sertraline. A total of 81 patients participated in the study and were scored with the Hamilton Depression Rating Scale (HDRS) at baseline and at 2, 4 and 6 weeks after the start of the trial RESULTS: General linear model repeated measures demonstrated significant effect for time × treatment interaction on the HDRS scores, with significant difference at all time points post treatment. Early improvement was significantly greater in the ketamine group (85.4%) compared to the placebo group (42.5%). We did not observe any side effects for ketamine administration.

LIMITATIONS

Our follow up was limited to 6 weeks post initiation of treatment and cannot reveal the potential long-term adverse effects of oral ketamine and the sustainability of its benefit.

CONCLUSION

Altogether, our results suggest that oral ketamine may be considered as suitable adjuvant to sertraline in relieving depressive symptoms.

Clinical characteristics associated with therapeutic nonadherence of the patients with major depressive disorder: A report on the National Survey on Symptomatology of Depression in China

AIMS

Nonadherence is one of the leading challenges to treatment of the major depressive disorder (MDD). Few studies have systematically analyzed the relationship between clinical characteristics, especially symptoms of depressive patients and their therapeutic nonadherence over a relatively large sample. This study aimed to investigate factors of nonadherence in a nationwide survey in China.

METHODS

Participants with MDD who met the criteria of Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) were recruited from 32 sites throughout China. Patients were all over 16 years old. A doctor-rating questionnaire with 64 symptoms based on DSM-IV was constructed to evaluate depression-related feeling and behavior. Single-factor logistic regression was utilized to screen variables, and multifactor logistic regressive analysis was used to identify which factors were risk or protective for nonadherence. We included 882 patients of poor adherence and 857 patients of good adherence.

RESULTS

Recurrence, untreated first episode, tricyclic antidepressant (TCA)-treated first episode, antidepressant-only-treated current episode, decrease or loss of interest, more somatic symptoms, and "atypical" symptoms were risk factors for nonadherence, whereas selective noradrenaline reuptake inhibitor (SNRI)-treated first episode was a protecting factor.

CONCLUSION

Clinical characteristics may play an important role in predicting nonadherence. Doctors may have to pay much attention on patients with these factors and should keep on discussing them with patients.

The Contribution of Untreated and Treated Anxiety and Depression to Prenatal, Intrapartum, and Neonatal Outcomes

Objective  To determine independent perinatal associations of anxiety and depression in women who were and were not treated with psychotropic drugs in comparison to unaffected pregnancies. Study Design  From 2013 to 2014, 978 (6.3%) cases of anxiety/depression, of which 35% used psychotropic drugs, were compared with 14,514 (93.7%) unaffected pregnancies using logistic regression. Results  Subjects were more likely to be Non-Hispanic Whites, use tobacco and illegal substances, be unmarried, use public insurance, and have medical complications of pregnancy. For independent maternal outcomes, untreated anxiety/depression was associated with labor induction (adjusted odds ratio [aOR] = 2.02), cesarean deliveries (aOR = 1.69), longer length of stay (aOR = 1.96), readmission (aOR = 2.40), fever (aOR = 2.03), magnesium exposure (aOR = 1.82), and postpartum hemorrhage (aOR = 2.57), whereas treated cases were associated with increased blood transfusion (aOR = 4.81), severe perineal lacerations (aOR = 2.93), and postpartum hemorrhage (aOR = 3.85), but decreased risk of cesarean deliveries (aOR = 0.59). Independent neonatal outcomes included small for gestational age (aOR = 3.04), meconium-stained fluid (aOR = 1.85; 2.61), respiratory failure (aOR = 5.84), neonatal adaptation syndrome (aOR = 11; 10.2), and neonatal seizures (aOR = 12.3) in treated cases, whereas untreated cases were associated with hypoxia (aOR = 2.83), low Apgar score (aOR = 3.82), and encephalopathy (aOR = 18.3). Exposure to multiple psychotropic medications independently increased the risk of neonatal adaptation syndrome, neonatal length of stay, and hypoglycemia. Conclusion  Untreated cases were associated with increased maternal adverse outcomes, whereas treated cases were associated with more adverse neonatal outcomes when compared with unaffected pregnancies.