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

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          Abstract

          BACKGROUND:

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

          OBJECTIVE:

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

          METHODS:

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

          RESULTS:

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

          CONCLUSIONS:

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

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          Most cited references43

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          Comorbidity measures for use with administrative data.

          This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from other aspects of the patient's condition, development of a comorbidity algorithm, and testing on heterogeneous and homogeneous patient groups. Data were drawn from all adult, nonmaternal inpatients from 438 acute care hospitals in California in 1992 (n = 1,779,167). Outcome measures were those commonly available in administrative data: length of stay, hospital charges, and in-hospital death. A comprehensive set of 30 comorbidity measures was developed. The comorbidities were associated with substantial increases in length of stay, hospital charges, and mortality both for heterogeneous and homogeneous disease groups. Several comorbidities are described that are important predictors of outcomes, yet commonly are not measured. These include mental disorders, drug and alcohol abuse, obesity, coagulopathy, weight loss, and fluid and electrolyte disorders. The comorbidities had independent effects on outcomes and probably should not be simplified as an index because they affect outcomes differently among different patient groups. The present method addresses some of the limitations of previous measures. It is based on a comprehensive approach to identifying comorbidities and separates them from the primary reason for hospitalization, resulting in an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.
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            Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice.

            Selective serotonin reuptake inhibitors (SSRIs) are widely used to treat depression, but the rates, timing, and baseline predictors of remission in "real world" patients are not established. The authors' primary objectives in this study were to evaluate the effectiveness of citalopram, an SSRI, using measurement-based care in actual practice, and to identify predictors of symptom remission in outpatients with major depressive disorder. This clinical study included outpatients with major depressive disorder who were treated in 23 psychiatric and 18 primary care "real world" settings. The patients received flexible doses of citalopram prescribed by clinicians for up to 14 weeks. The clinicians were assisted by a clinical research coordinator in the application of measurement-based care, which included the routine measurement of symptoms and side effects at each treatment visit and the use of a treatment manual that described when and how to modify medication doses based on these measures. Remission was defined as an exit score of or=50% in baseline QIDS-SR score. Nearly 80% of the 2,876 outpatients in the analyzed sample had chronic or recurrent major depression; most also had a number of comorbid general medical and psychiatric conditions. The mean exit citalopram dose was 41.8 mg/day. Remission rates were 28% (HAM-D) and 33% (QIDS-SR). The response rate was 47% (QIDS-SR). Patients in primary and psychiatric care settings did not differ in remission or response rates. A substantial portion of participants who achieved either response or remission at study exit did so at or after 8 weeks of treatment. Participants who were Caucasian, female, employed, or had higher levels of education or income had higher HAM-D remission rates; longer index episodes, more concurrent psychiatric disorders (especially anxiety disorders or drug abuse), more general medical disorders, and lower baseline function and quality of life were associated with lower HAM-D remission rates. The response and remission rates in this highly generalizable sample with substantial axis I and axis III comorbidity closely resemble those seen in 8-week efficacy trials. The systematic use of easily implemented measurement-based care procedures may have assisted in achieving these results.
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              The economic burden of adults with major depressive disorder in the United States (2005 and 2010).

              The economic burden of depression in the United States--including major depressive disorder (MDD), bipolar disorder, and dysthymia--was estimated at $83.1 billion in 2000. We update these findings using recent data, focusing on MDD alone and accounting for comorbid physical and psychiatric disorders.
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                Author and article information

                Journal
                J Manag Care Spec Pharm
                J Manag Care Spec Pharm
                jmcsp
                Journal of Managed Care & Specialty Pharmacy
                Academy of Managed Care Pharmacy
                2376-0540
                2376-1032
                March 2018
                : 24
                : 3
                : 10.18553/jmcp.2018.24.3.226
                Affiliations
                [1 ]Department of Psychiatry, College of Physicians and Surgeons, Columbia University and New York State Psychiatric Institute, New York, New York.
                [2 ]Health Economics and Outcomes Research, Janssen Scientific Affairs, Titusville, New Jersey.
                [3 ]School of Social Practice & Policy, University of Pennsylvania, Philadelphia.
                Author notes
                [* ]AUTHOR CORRESPONDENCE: Mark Olfson, MD, MPH, New York State Psychiatric Institute/Department of Psychiatry, College of Physicians and Surgeons of Columbia University, 1051 Riverside Dr., New York, NY 10032. Tel.: 646-774-6413; E-mail: mo49@ 123456cumc.columbia.edu .

                This project was sponsored by Janssen Scientific Affairs. Olfson received a grant from Janssen Scientific Affairs through Columbia University Medical Center. Amos and Benson are employees of Janssen Scientific Affairs. Marcus was paid by Janssen Scientific Affairs to provide consulting support for this study and reports fees from Sunovion Pharmaceuticals and Alkermes outside of this study. McRae was a fellow affiliated with Janssen Scientific Affairs during the development of this research and manuscript.

                Study concept and design were contributed by Amos, Olfson, Marcus, Benson, and McRae. Data analysis was performed by all the authors. The manuscript was primarily written by Olfson, along with the other authors, and revised by McRae, Benson, Amos, Marcus, and Olfson.

                A different data cut from the same database was presented previously at the 2017 Annual Meeting of the International Society for Pharmacoeconomics and Outcomes Research; May 20-24, 2017; Boston, MA; and the 2017 AcademyHealth Annual Research Meeting; June 25-27, 2017; New Orleans, LA.

                Article
                10.18553/jmcp.2018.24.3.226
                10398231
                29485948
                93b3bfa2-5b2b-409a-8a4e-9eab13b36616
                Copyright © 2018, Academy of Managed Care Pharmacy. All rights reserved.

                This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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