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      The Economic Burden of Bipolar Disorder in the United States: A Systematic Literature Review

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          Abstract

          Bipolar disorder (BD) is a mood disorder with subtypes characterized by episodes of mania, hypomania, and/or depression. BD is associated with substantial economic burden, and the bipolar I disorder (BD-I) subtype is associated with high medical costs. This review further evaluated the economic burden of BD and BD-I in the United States (US), describing health-care resource utilization (HCRU) and sources of direct medical and indirect costs. Data were obtained from systematic searches of MEDLINE ®, EMBASE ®, and National Health Service Economic Evaluation Database. Citations were screened to identify primary research studies (published 2008–2018) on the economic burden of BD/BD-I or its treatment in real-world settings. Reported costs were converted to 2018 US dollars. Of identified abstracts (N=4111), 56 studies were included. The estimated total annual national economic burden of BD/BD-I was more than $195 billion, with approximately 25% attributed to direct medical costs. Individuals with BD/BD-I used health-care services more frequently and had higher direct medical costs than matched individuals without the disease. Drivers of higher direct costs included frequent psychiatric interventions, presence of comorbid medical/psychiatric conditions, and both suboptimal medication adherence and clinical management. Indirect costs (eg, unemployment, lost work productivity for patients/caregivers) accounted for 72–80% of the national economic burden of BD/BD-I. Different definitions for study populations and cost categories limited comparisons of economic outcomes. This review builds on existing literature describing the economic burden of BD and confirmed cost drivers of BD/BD-I. Improved clinical management of BD/BD-I and associated comorbidities, together with better medication adherence, may reduce health-care costs and improve patient outcomes.

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          Most cited references79

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          Diagnostic and Statistical Manual of Mental Disorders

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            Economic Costs of Diabetes in the U.S. in 2017

            (2018)
            OBJECTIVE This study updates previous estimates of the economic burden of diagnosed diabetes and quantifies the increased health resource use and lost productivity associated with diabetes in 2017. RESEARCH DESIGN AND METHODS We use a prevalence-based approach that combines the demographics of the U.S. population in 2017 with diabetes prevalence, epidemiological data, health care cost, and economic data into a Cost of Diabetes Model. Health resource use and associated medical costs are analyzed by age, sex, race/ethnicity, insurance coverage, medical condition, and health service category. Data sources include national surveys, Medicare standard analytical files, and one of the largest claims databases for the commercially insured population in the U.S. RESULTS The total estimated cost of diagnosed diabetes in 2017 is $327 billion, including $237 billion in direct medical costs and $90 billion in reduced productivity. For the cost categories analyzed, care for people with diagnosed diabetes accounts for 1 in 4 health care dollars in the U.S., and more than half of that expenditure is directly attributable to diabetes. People with diagnosed diabetes incur average medical expenditures of ∼$16,750 per year, of which ∼$9,600 is attributed to diabetes. People with diagnosed diabetes, on average, have medical expenditures ∼2.3 times higher than what expenditures would be in the absence of diabetes. Indirect costs include increased absenteeism ($3.3 billion) and reduced productivity while at work ($26.9 billion) for the employed population, reduced productivity for those not in the labor force ($2.3 billion), inability to work because of disease-related disability ($37.5 billion), and lost productivity due to 277,000 premature deaths attributed to diabetes ($19.9 billion). CONCLUSIONS After adjusting for inflation, economic costs of diabetes increased by 26% from 2012 to 2017 due to the increased prevalence of diabetes and the increased cost per person with diabetes. The growth in diabetes prevalence and medical costs is primarily among the population aged 65 years and older, contributing to a growing economic cost to the Medicare program. The estimates in this article highlight the substantial financial burden that diabetes imposes on society, in addition to intangible costs from pain and suffering, resources from care provided by nonpaid caregivers, and costs associated with undiagnosed diabetes.
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              Estimating the true global burden of mental illness.

              We argue that the global burden of mental illness is underestimated and examine the reasons for under-estimation to identify five main causes: overlap between psychiatric and neurological disorders; the grouping of suicide and self-harm as a separate category; conflation of all chronic pain syndromes with musculoskeletal disorders; exclusion of personality disorders from disease burden calculations; and inadequate consideration of the contribution of severe mental illness to mortality from associated causes. Using published data, we estimate the disease burden for mental illness to show that the global burden of mental illness accounts for 32·4% of years lived with disability (YLDs) and 13·0% of disability-adjusted life-years (DALYs), instead of the earlier estimates suggesting 21·2% of YLDs and 7·1% of DALYs. Currently used approaches underestimate the burden of mental illness by more than a third. Our estimates place mental illness a distant first in global burden of disease in terms of YLDs, and level with cardiovascular and circulatory diseases in terms of DALYs. The unacceptable apathy of governments and funders of global health must be overcome to mitigate the human, social, and economic costs of mental illness.
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                Author and article information

                Journal
                Clinicoecon Outcomes Res
                Clinicoecon Outcomes Res
                ceor
                ceor
                ClinicoEconomics and Outcomes Research: CEOR
                Dove
                1178-6981
                07 September 2020
                2020
                : 12
                : 481-497
                Affiliations
                [1 ]Health Economics and Outcomes Research, Alkermes, Inc ., Waltham, MA, USA
                [2 ]Evidence, Worldwide Clinical Trials , Morrisville, NC, USA
                [3 ]Department of Psychiatry and Behavioral Sciences, University of New Mexico , Albuquerque, NM, USA
                Author notes
                Correspondence: Leona Bessonova Health Economics and Outcomes Research, Alkermes, Inc ., Waltham, MA, USATel +1-781-609-6439 Email leona.bessonova@alkermes.com
                Author information
                http://orcid.org/0000-0002-0848-1481
                Article
                259338
                10.2147/CEOR.S259338
                7489939
                32982338
                3976a9b3-f5d3-4df2-93d4-929c3b3c566f
                © 2020 Bessonova et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 07 May 2020
                : 12 August 2020
                Page count
                Figures: 1, Tables: 14, References: 79, Pages: 17
                Funding
                Funded by: Alkermes, Inc;
                Funding for the planning and conduct of the systematic literature review and the preparation of this manuscript was provided by Alkermes, Inc. In May of 2019, data included in this manuscript were presented as a poster at the annual meeting of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) in New Orleans, Louisiana. The poster’s abstract was published in “Abstracts” in Value in Health, Vol 22: https://doi.org/10.1016/j.jval.2019.04.1065 .
                Categories
                Review

                Economics of health & social care
                cost of illness,health care costs,indirect costs,mania,mood disorder,resource utilization

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