Psychotropic Polypharmacy Combinations and Duration of Polypharmacy Among Medicaid-Enrolled Youths.

OBJECTIVE: This study evaluated psychotropic polypharmacy frequency and patterns of use among Medicaid-enrolled youths. METHODS: A cross-sectional study of a state Medicaid claims database (2015-2020) focused on youths (≤17 years old) with at least one psychotropic medication claim and ≥90 continuous days of Medicaid enrollment. Psychotropic polypharmacy (claims for three or more therapeutic classes of psychotropics for ≥90 consecutive days) was analyzed as average annual days and annual prevalence of class combinations. Multivariable negative binomial regression models assessed changes in annual psychotropic polypharmacy days. RESULTS: A total of 126,972 unique youths were identified. Almost all youths with psychotropic polypharmacy had three-class combinations, the most common of which included attention-deficit hyperactivity disorder medications, antipsychotics, and antidepressants. The number of polypharmacy days increased from a mean±SD of 227.8±90.3 in 2015 to 235.7±97.5 in 2020. Polypharmacy days significantly increased year over year (rate ratio=1.01, 95% CI=1.00-1.01). CONCLUSIONS: Psychotropic polypharmacy regimens reflect chronic use that is increasing over time.

Antidepressant treatment initiation among children and adolescents with acute versus long COVID: a large retrospective cohort study.

BACKGROUND: Child and adolescent antidepressant use increased post-pandemic, but it is unknown if this disproportionally affected those who develop post-acute sequelae of coronavirus disease 2019 (COVID) or long COVID. This study compared the risk of antidepressant initiation among children and adolescents with long COVID with those who had COVID but did not have evidence of long COVID. METHODS: Our retrospective cohort study of children and adolescents aged 3-17 years at the first evidence of COVID or long COVID from October 1, 2021 through April 4, 2022 was conducted within Komodo's Healthcare Map™ database. The index date was the earliest date of a medical claim associated with a COVID (COVID comparators) or long COVID diagnosis (long COVID cases). The baseline period was six months before the index date. The outcome was antidepressant initiation within twelve months after the index date. Due to the large number of COVID relative to long COVID cases, COVID comparators were randomly selected with a ratio of 2 COVID to 1 long COVID. We used propensity score matching to control for confounding due to imbalances in the baseline covariates. Log-binomial models estimated the relative risk (RR) of antidepressant initiation in the propensity score matched sample. We conducted several sensitivity analyses to test the robustness of our findings to several assumptions. RESULTS: Our child and adolescent sample included 18 274 with COVID and 9137 with long COVID. Compared with those with COVID, a larger proportion of long COVID children and adolescents had psychiatric disorders, psychotropic use, medical comorbidities, were previously hospitalized, or visited the emergency department. In the propensity score-adjusted analysis, the long COVID group had a statistically significant higher risk of antidepressant initiation relative to the COVID comparator (adjusted-RR: 1.40, 95% CI = 1.20, 1.62). Our findings were robust across sensitivity analyses. CONCLUSIONS: The increased risk of antidepressant initiation following long COVID warrants further study to better understand the underlying reasons for this higher risk. Emerging evidence of long COVID's impact on child mental health has important implications for prevention and early interventions.

Risk of incident gout following exposure to recombinant zoster vaccine in US adults aged ≥50 years.

OBJECTIVE: Assess the risk of incident gout following exposure to recombinant zoster vaccine (RZV). METHODS: This case-only, self-controlled risk interval study included a cohort of US fee-for-service Medicare (Part A, B, and D) beneficiaries aged ≥65 years. The exposure was receipt of at least one dose of the two-dose RZV regimen in 2018 or 2019. The risk and control windows were days 1-30 and days 31-60, respectively, following vaccination. Incident gout was defined as the first episode of gout during the risk or control window, with no evidence of gout in the last 365 days. We estimated the relative risk (RR) and 95 % confidence interval (CI) of incident gout in the risk window relative to the control window, using conditional Poisson regression models. Sensitivity analyses included a dose-compliant subanalysis of individuals who received dose 2 60-183 days after dose 1; dose-specific analysis; seasonality adjustment; and COVID-19 adjustment for potential detection bias due to the pandemic. RESULTS: The 1290 RZV-exposed individuals with incident gout were primarily White (86.98 %), male (61.16 %), and aged 70-79 years (55.82 %). The RR of incident gout was 1.00 (95 % CI 0.90, 1.12). In the dose-compliant sensitivity analysis (n = 959 cases of incident gout), the RR of incident gout was 0.99 (95 % CI 0.87, 1.13). The findings were unchanged in the dose-specific, seasonality, and COVID-19 sensitivity analyses. CONCLUSION: The findings suggest that RZV is not significantly associated with an increased risk of incident gout in the Medicare population aged ≥65 years.

Incident Psychotropic Medication Use Among US Commercially Insured Children and Adolescents from 2019 to 2022.

Objective: To compare the proportion of children and adolescents with incident psychotropic medication use from 2019 through 2022. Methods: This cross-sectional study used the IQVIA PharMetrics® Plus for Academics health plan claims database. Our study sample consisted of children and adolescents ages 6-18 who had at least one psychotropic medication in March 2019-February 2022. We examined psychotropic medication use in three distinct study periods: pre-pandemic (March 2019 to February 2020), pandemic-year-1 (March 2020-February 2021), and pandemic-year-2 (March 2021-February 2022). Incident use was defined as no evidence of psychotropic medication in the 12 months preceding the child and adolescent's first psychotropic dispensing in each study period. We estimated incident psychotropic use in the three study periods. Average marginal effects tested for significant differences in psychotropic initiation, overall and stratified by age and sex. Results: In our sample of 42,346 children and adolescents who were dispensed any psychotropic medication during the study period, incident psychotropic users were 27.8% in pre-pandemic, 26.0% in pandemic-year-1, and 27.8% in pandemic-year-2. Incident use of antidepressants was 51.4% in pandemic-year-1 and 54.6% in pandemic-year-2. The probability of incident psychotropic use was 2.4% lower in pandemic-year-1 than in the pre-pandemic year (p < 0.001). The proportion of 6-11-year-olds and females initiating a psychotropic was higher in pandemic-year-2 than pre-pandemic. Conclusion: Incident psychotropic use was most notable in younger and female children 2 years after the pandemic onset.

Discrete Choice Experiments to Elicit Patient Preferences for the Treatment of Major Depressive Disorder: A Systematic Review.

BACKGROUND: Individual preferences for treatment options for major depressive disorder can impact therapeutic decision making, adherence, and ultimately outcomes. OBJECTIVES: This systematic review of discrete choice experiments (DCEs) on patient preferences for major depressive disorder treatment assessed the range of DCE applications in major depressive disorder to document patient stakeholder involvement in DCE development and to identify the relative importance of treatment attributes. METHODS: We searched MEDLINE via Ovid (1946-present), EMBASE (Elsevier interface), Cochrane Central Register of Controlled Trials (Wiley interface), and PsycINFO (EBSCO interface) databases on 29 May, 2024. Covidence software facilitated the review, which four members completed independently. The review was conducted in two phases: title and abstract and then a full-text review. We used an established quality reporting tool to evaluate selected articles. The Covidence extraction tool was adapted for this study. RESULTS: A total of 19 articles were included in this review. Most studies elicited preferences for depression treatment (63.2%) and care delivery (10.5%). Two assessed willingness to pay. Individuals prefer a combination of medicine and counseling over each treatment alone. Treatment efficacy, relapse prevention, and symptom relief were among the most important attributes. Individuals were willing to accept larger risks to achieve symptom improvement. Few studies examined preference heterogeneity with latent subgroups. CONCLUSIONS: Discrete choice experiments for major depressive disorder treatment preferences enable an assessment of trade-offs for first-line therapeutic options. Patient stakeholders are infrequently involved as collaborators in the DCE development. Few examined preference heterogeneity among subgroups.

Patient-Informed Value Elements in Cost-Effectiveness Analyses of Major Depressive Disorder Treatment: A Literature Review and Synthesis.

OBJECTIVES: Prior work identified 6 key value elements (attributes of treatment and desired outcomes) for individuals living with major depressive disorder (MDD) in managing their condition: mode of treatment, time to treatment helpfulness, MDD relief, quality of work, interaction with others, and affordability. The objective of our study was to identify whether previous cost-effectiveness analyses (CEAs) for MDD treatment addressed any of these value elements. A secondary objective was to identify whether any study engaged patients, family members, and caregivers in the model development process. METHODS: We conducted a systematic literature review to identify published model-based CEAs. We compared the elements of the published studies with the MDD patient value elements elicited in prior work to identify gaps and areas for future research. RESULTS: Of 86 published CEAs, we found that 7 included patient out-of-pocket costs, and 32 included measures of productivity, which were both priorities for individuals with MDD. We found that only 2 studies elicited measures from patients for their model, and 2 studies engaged patients in the modeling process. CONCLUSIONS: Published CEA models for MDD treatment do not regularly include value elements that are a priority for this patient population nor do they include patients in their modeling process. Flexible models that can accommodate elements consistent with patient experience are needed, and a multistakeholder engagement approach would help accomplish this.

Women's Health Information-Seeking Experiences and Preferences for Health Communications on FDA-Regulated Products: A Qualitative Study in Urban Area.

A key part of any effort to ensure informed health care decision-making among the public is access to reliable and relevant health-related information. We conducted focus groups with women from three generations across the Baltimore-Washington metropolitan area to explore their information-seeking motivations, perceptions, challenges, and preferences regarding three FDA-regulated products: drugs, vaccines, and medical devices. The youngest generation discussed seeking health information for their children; the other two sought information for their own needs. All participants noted that finding health information appropriate to their reading level was a challenge, as was identifying reliable sources of information. All generations identified in-person and live interactions as their preferred method of communication and health care providers as their preferred source for information. All three generations recognized the usefulness of websites, and the two older generations acknowledged the advantages of brochures. Our findings suggest approaches the FDA could consider to improve communications: (a) supporting in-person and live health information interactions; (b) leveraging the agency's standing with the public to highlight it as a leading source of validated health information; (c) increasing the FDA website's visibility in internet searches and making its navigation easier; and (d) using multi-pronged approaches and media for various audiences.

Psychotropic Polypharmacy Among Youths Enrolled in Medicaid.

This cross-sectional study aims to identify temporal changes and characteristics associated with psychotropic polypharmacy among youths aged 17 years or younger who were enrolled in Medicaid in Maryland.

Can evidence drive health equity in the COVID-19 pandemic and beyond?

Using scoping review methods, we systematically searched multiple online databases for publications in the first year of the pandemic that proposed pragmatic population or health system-level solutions to health inequities. We found 77 publications with proposed solutions to pandemic-related health inequities. Most were commentaries, letters, or editorials from the USA, offering untested solutions, and no robust evidence on effectiveness. Some of the proposed solutions could unintentionally exacerbate health inequities. We call on health policymakers to co-create, co-design, and co-produce equity-focussed, evidence-based interventions with communities, focussing on those most at risk to protect the population as a whole. Epidemiologists collaborating with people from other relevant disciplines may provide methodological expertise for these processes. As epidemiologists, we must interrogate our own methods to avoid propagating any unscientific biases we may hold. Epidemiology must be used to address, and never exacerbate, health inequities-in the pandemic and beyond.

Recognition and management of children and adolescents with conduct disorder: a real-world data study from four western countries.

BACKGROUND: Conduct disorders (CD) are among the most frequent psychiatric disorders in children and adolescents, with an estimated worldwide prevalence in the community of 2-4%. Evidence-based psychological outpatient treatment leads to significant improvement in about two-thirds of cases. However, there seems to be considerable variation in rates of CD diagnoses and implementation of evidence-based interventions between nations. The aim of this study was to compare administrative prevalence and treatment patterns for CD in children and adolescents seen in health care systems across four Western countries (Denmark, Germany, Norway, and the USA). METHODS: Cross-sectional observational study using healthcare data to identify children and adolescents (aged 0-19 years) with an ICD-10 code for CD within the calendar year 2018. Within each country's study population, the prevalence of CD, psychiatric comorbidity, psychopharmacological treatment, and psychiatric hospitalisation was calculated. RESULTS: The prevalence of diagnosed CD differed 31-fold between countries: 0.1% (Denmark), 0.3% (Norway), 1.1% (USA) and 3.1% (Germany), with a male/female ratio of 2.0-2.5:1. The rate of psychiatric comorbidity ranged from 69.7 to 86.1%, with attention-deficit/hyperactivity disorder being most common. Between 4.0% (Germany) and 12.2% (USA) of youths with a CD diagnosis were prescribed antipsychotic medication, and 1.2% (Norway) to 12.5% (Germany) underwent psychiatric hospitalisation. CONCLUSION: Recognition and characteristics of youths diagnosed with CD varied greatly by country. In some countries, the administrative prevalence of diagnosed CD was markedly lower than the average estimated worldwide prevalence. This variation might reflect country-specific differences in CD prevalence, referral thresholds for mental health care, diagnostic tradition, and international variation in service organisation, CD recognition, and availability of treatment offers for youths with CD. The rather high rates of antipsychotic prescription and hospitalisation in some countries are remarkable, due to the lack of evidence for these therapeutic approaches. These findings stress the need of prioritising evidence-based treatment options in CD. Future research should focus on possible reasons for inter-country variation in recognition and management of CD, and also address possible differences in patient-level outcomes.

Impact of Private Payer Policies on the Transition to Telemental Health Care Among Privately Insured Patients with Mental Health Disorders.

Introduction: Mental health patients in states without private payer telehealth reimbursement policies before the public health emergency (PHE) may have experienced reduced access to telemental health (TMH). We estimate the association between private payer telehealth policy status in 2019 and the transition to TMH in 2020. Methods: Retrospective cohort study of privately insured individuals 2-64 years old with a mental health disorder and without TMH use in 2019. We examined new telemental use in 2020 by three categories of policy reimbursement status in 2019 (partial parity, full parity vs. no policy), overall (any telemental), and by modality (live video, audio-only, and online assessments) using logistic regression models clustered by state. Results: Among the 34,612 enrollees, 54.7% received TMH for the first time. Relative to no policy states, enrollees in partial or full parity states were equally likely to receive TMH in 2020. However, enrollees in states with a private payer telehealth policy were less likely to receive audio-only (partial parity: odds ratio [OR]: 0.59, 95% confidence interval [CI]: 0.39-0.90; full parity: OR: 0.38, 95% CI: 0.26-0.55), but more likely to receive online assessments (full parity: OR: 2.28, 95% CI: 1.4-4.59). Conclusions: Privately insured enrollees similarly transitioned to TMH across states suggesting a broad impact of the PHE policies on access to this care. The differences in audio-only and online assessments suggest that providers were possibly better prepared to implement TMH care via live video or patient portals in states with telehealth policies.

The State of Use and Utility of Negative Controls in Pharmacoepidemiologic Studies.

Uses of real-world data in drug safety and effectiveness studies are often challenged by various sources of bias. We undertook a systematic search of the published literature through September 2020 to evaluate the state of use and utility of negative controls to address bias in pharmacoepidemiologic studies. Two reviewers independently evaluated study eligibility and abstracted data. Our search identified 184 eligible studies for inclusion. Cohort studies (115, 63%) and administrative data (114, 62%) were, respectively, the most common study design and data type used. Most studies used negative control outcomes (91, 50%), and for most studies the target source of bias was unmeasured confounding (93, 51%). We identified 4 utility domains of negative controls: 1) bias detection (149, 81%), 2) bias correction (16, 9%), 3) P-value calibration (8, 4%), and 4) performance assessment of different methods used in drug safety studies (31, 17%). The most popular methodologies used were the 95% confidence interval and P-value calibration. In addition, we identified 2 reference sets with structured steps to check the causality assumption of the negative control. While negative controls are powerful tools in bias detection, we found many studies lacked checking the underlying assumptions. This article is part of a Special Collection on Pharmacoepidemiology.

The association of major adverse limb events and combination stent and atherectomy in patients undergoing revascularization for lower extremity peripheral artery disease.

BACKGROUND: The effectiveness of combined atherectomy and stenting relative to use of each procedure alone for the treatment of lower extremity peripheral artery disease has not been evaluated. AIMS: The objective of this study was to evaluate the short- and long-term major adverse limb event (MALE) following the receipt of stenting, atherectomy, and the combination of stent and atherectomy. METHODS: A retrospective cohort of patients undergoing atherectomy, stent, and combination stent atherectomy for lower extremity peripheral artery disease was derived from the Vascular Quality Initiative (VQI) data set. The primary outcome was MALE and was assessed in the short-term and long-term. Short-term MALE was assessed immediately following the procedure to discharge and estimated using logistic regression. Long-term MALE was assessed after discharge to end of follow-up and estimated using the Fine-Gray subdistribution hazard model. RESULTS: Among the 46,108 included patients, 6896 (14.95%) underwent atherectomy alone, 35,774 (77.59%) received a stent, and 3438 (7.5%) underwent a combination of stenting and atherectomy. The adjusted model indicated a significantly higher odds of short-term MALE in the atherectomy group (OR = 1.35; 95% confidence interval [CI]:1.16-1.57), and not significantly different odds (OR = 0.93; 95% CI:0.77-1.13) in the combination stent and atherectomy group when compared to stenting alone. With regard to long-term MALE, the model indicated that the likelihood of experiencing the outcome was slightly lower (HR = 0.90; 95% CI:0.82-0.98) in the atherectomy group, and not significantly different (HR = 0.92; 95% CI:0.82-1.04) in the combination stent and atherectomy group when compared to the stent group. CONCLUSIONS: Patients in the VQI data set who received combination stenting and atherectomy did not experience significantly different rates of MALE when compared with stenting alone. It is crucial to consider and further evaluate the influence of anatomical characteristics on treatment strategies and potential differential effects of comorbidities and other demographic factors on the short and long-term MALE risks.

Impact of different interventions on preventing suicide and suicide attempt among children and adolescents in the United States: a microsimulation model study.

Introduction: Despite considerable investment in suicide prevention since 2001, there is limited evidence for the effect of suicide prevention interventions among children and adolescents. This study aimed to estimate the potential population impact of different interventions in preventing suicide-related behaviors in children and adolescents. Methods: A microsimulation model study used data from national surveys and clinical trials to emulate the dynamic processes of developing depression and care-seeking behaviors among a US sample of children and adolescents. The simulation model examined the effect of four hypothetical suicide prevention interventions on preventing suicide and suicide attempt in children and adolescents as follows: (1) reduce untreated depression by 20, 50, and 80% through depression screening; (2) increase the proportion of acute-phase treatment completion to 90% (i.e., reduce treatment attrition); (3) suicide screening and treatment among the depressed individuals; and (4) suicide screening and treatment to 20, 50, and 80% of individuals in medical care settings. The model without any intervention simulated was the baseline. We estimated the difference in the suicide rate and risk of suicide attempts in children and adolescents between baseline and different interventions. Results: No significant reduction in the suicide rate was observed for any of the interventions. A significant decrease in the risk of suicide attempt was observed for reducing untreated depression by 80%, and for suicide screening to individuals in medical settings as follows: 20% screened: -0.68% (95% credible interval (CI): -1.05%, -0.56%), 50% screened: -1.47% (95% CI: -2.00%, -1.34%), and 80% screened: -2.14% (95% CI: -2.48%, -2.08%). Combined with 90% completion of acute-phase treatment, the risk of suicide attempt changed by -0.33% (95% CI: -0.92%, 0.04%), -0.56% (95% CI: -1.06%, -0.17%), and -0.78% (95% CI: -1.29%, -0.40%) for reducing untreated depression by 20, 50, and 80%, respectively. Combined with suicide screening and treatment among the depressed, the risk of suicide attempt changed by -0.27% (95% CI: -0.dd%, -0.16%), -0.66% (95% CI: -0.90%, -0.46%), and -0.90% (95% CI: -1.10%, -0.69%) for reducing untreated depression by 20, 50, and 80%, respectively. Conclusion: Reducing undertreatment (the untreated and dropout) of depression and suicide screening and treatment in medical care settings may be effective in preventing suicide-related behaviors in children and adolescents.

Optimizing therapeutic decision-making for off-label medicines use: A scoping review and consensus recommendations for improving practice and research.

PURPOSE: Off-label medicines use is a common and sometimes necessary practice in many populations, with important clinical, ethical and financial consequences, including potential unintended harm or lack of effectiveness. No internationally recognized guidelines exist to aid decision-makers in applying research evidence to inform off-label medicines use. We aimed to critically evaluate current evidence informing decision-making for off-label use and to develop consensus recommendations to improve future practice and research. METHODS: We conducted a scoping review to summarize the literature on available off-label use guidance, including types, extent and scientific rigor of evidence incorporated. Findings informed the development of consensus recommendations by an international multidisciplinary Expert Panel using a modified Delphi process. Our target audience includes clinicians, patients and caregivers, researchers, regulators, sponsors, health technology assessment bodies, payers and policy makers. RESULTS: We found 31 published guidance documents on therapeutic decision-making for off-label use. Of 20 guidances with general recommendations, only 35% detailed the types and quality of evidence needed and the processes for its evaluation to reach sound, ethical decisions about appropriate use. There was no globally recognized guidance. To optimize future therapeutic decision-making, we recommend: (1) seeking rigorous scientific evidence; (2) utilizing diverse expertise in evidence evaluation and synthesis; (3) using rigorous processes to formulate recommendations for appropriate use; (4) linking off-label use with timely conduct of clinically meaningful research (including real-world evidence) to address knowledge gaps quickly; and (5) fostering partnerships between clinical decision-makers, researchers, regulators, policy makers, and sponsors to facilitate cohesive implementation and evaluation of these recommendations. CONCLUSIONS: We provide comprehensive consensus recommendations to optimize therapeutic decision-making for off-label medicines use and concurrently drive clinically relevant research. Successful implementation requires appropriate funding and infrastructure support to engage necessary stakeholders and foster relevant partnerships, representing significant challenges that policy makers must urgently address.

Geographic Trends in Pediatric Psychotropic Medication Dispensing Before and After the Start of the COVID-19 Pandemic.

OBJECTIVE: This study examined trends and geographic variability in dispensing of prescription psychotropic medications to U.S. youths before and after the start of the COVID-19 pandemic. METHODS: Using national data on prescription medication dispensing, the authors performed a cross-sectional study examining the monthly percent change in psychotropic medications dispensed (total N=95,639,975) to youths (ages 5-18 years) in 2020 versus 2019, across medication classes and geographic regions. RESULTS: For many medications, more were dispensed in March 2020 than in March 2019 and fewer in April-May 2020 versus April-May 2019. Stimulants had the largest decline: -26.4% in May 2020 versus May 2019. The magnitude of the monthly percent change varied by region. CONCLUSIONS: Fewer psychotropic medications were dispensed to U.S. youths after the start of the COVID-19 pandemic compared with 2019. Although some medication classes rebounded to prepandemic dispensing levels by September 2020, dispensing varied by class and region.

Impact of Undertreatment of Depression on Suicide Risk Among Children and Adolescents With Major Depressive Disorder: A Microsimulation Study.

Undertreatment of depression is common among children and adolescents, but evidence of the impact of undertreatment of depression on risk of suicide is limited due to the low base rate of suicide in the population and lack of sufficient data sources. We developed a microsimulation model that uses evidence from multiple sources to study the impact of different durations of antidepressant treatment on suicide risk in a synthesized sample that is nationally representative of children and adolescents with major depressive disorder. Compared with receiving no treatment, suicide rate and risk of suicide attempt both decreased with increasing duration of antidepressant treatment (for 12 weeks, suicide rate ratios = 0.78 (95% credible interval (CrI): 0.58, 1.15), 36 weeks, 0.65 (95% CrI: 0.44, 0.90), and 52 weeks, 0.63 (95% CrI: 0.45, 0.72); for suicide attempt: 12 weeks, suicide risk ratios = 0.68 (95% CrI: 0.62, 0.69), 36 weeks, 0.56 (95% CrI: 0.52, 0.57), and 52 weeks, 0.55 (95% CrI: 0.51, 0.56). The suicide rate and risk of suicide attempt were lower in children than in adolescents. Males had a lower risk of suicide attempt but higher suicide rate than females. The findings from the microsimulation model show that completion of 12-36 weeks of antidepressant treatment may reduce suicide attempt and suicide among children and adolescents with major depressive disorder.

Preferences for Treatments for Major Depressive Disorder: Formative Qualitative Research Using the Patient Experience.

OBJECTIVES: The goals of this formative research are to elicit attributes of treatment and desired outcomes that are important to individuals with major depressive disorder (MDD), to develop a stated preference instrument, and to pre-test the instrument. METHODS: A three-phase survey study design elicited the patient's journey with MDD to design and pre-test the discrete choice experiment (DCE) instrument. Participants were 20 adults aged ≥ 18 with MDD who did not also have bipolar disorder or post-partum depression. We engaged patient advocates and a multi-disciplinary stakeholder advisory group to select and refine attributes for inclusion in a DCE instrument. The DCE was incorporated into a survey that also collected depression treatment and management and sociodemographic characteristics. The DCE was pre-tested with ten adults with MDD. RESULTS: Six attributes were included in the DCE: mode of treatment (medicine only, psychotherapy only, all modalities including brain stimulation), time to treatment effect (6, 9, 12 weeks), days of hopefulness (2, 4, 6 days/week), effect on productivity (40%, 60%, 90% increase), relations with others (strained, improved, no impact), and out-of-pocket costs ($30, $60, $90/month). The DCE test led to the refinement of mode of treatment (medicine, medicine and psychotherapy, and all modalities); time to treatment effect (4, 6, 9 weeks); monthly out-of-pocket costs ($30, $90, $270). CONCLUSIONS: MDD treatment preferences revealed trade-offs among mode of treatment, time to treatment effect, functional outcomes, and cost. The findings demonstrate the potential for meaningfully incorporating the patient experience in preference measures.