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      Perinatal mood and anxiety disorders, serious mental illness, and delivery-related health outcomes, United States, 2006–2015

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          Abstract

          Background

          National estimates of perinatal mood and anxiety disorders (PMAD) and serious mental illness (SMI) among delivering women over time, as well as associated outcomes and costs, are lacking. The prevalence of perinatal mood and anxiety disorders and serious mental illness from 2006 to 2015 were estimated as well as associated risk of adverse obstetric outcomes, including severe maternal morbidity and mortality (SMMM), and delivery costs.

          Methods

          The study was a serial, cross-sectional analysis of National Inpatient Sample data. The prevalence of PMAD and SMI was estimated among delivering women as well as obstetric outcomes, healthcare utilization, and delivery costs using adjusted weighted logistic with predictive margins and generalized linear regression models, respectively.

          Results

          The study included an estimated 39,025,974 delivery hospitalizations from 2006 to 2015 in the U.S. PMAD increased from 18.4 (95% CI 16.4–20.0) to 40.4 (95% CI 39.3–41.6) per 1000 deliveries. SMI also increased among delivering women over time, from 4.2 (95% CI 3.9–4.6) to 8.1 (95% CI 7.9–8.4) per 1000 deliveries. Medicaid covered 72% (95% CI 71.2–72.9) of deliveries complicated by SMI compared to 44% (95% CI 43.1–45.0) and 43.5% (95% CI 42.5–44.5) among PMAD and all other deliveries, respectively. Women with PMAD and SMI experienced higher incidence of SMMM, and increased hospital transfers, lengths of stay, and delivery-related costs compared to other deliveries ( P < .001 for all).

          Conclusion

          Over the past decade, the prevalence of both PMAD and SMI among delivering women increased substantially across the United States, and affected women had more adverse obstetric outcomes and delivery-related costs compared to other deliveries.

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          Most cited references34

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          Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017.

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            National Trends in the Prevalence and Treatment of Depression in Adolescents and Young Adults

            OBJECTIVES: This study examined national trends in 12-month prevalence of major depressive episodes (MDEs) in adolescents and young adults overall and in different sociodemographic groups, as well as trends in depression treatment between 2005 and 2014. METHODS: Data were drawn from the National Surveys on Drug Use and Health for 2005 to 2014, which are annual cross-sectional surveys of the US general population. Participants included 172 495 adolescents aged 12 to 17 and 178 755 adults aged 18 to 25. Time trends in 12-month prevalence of MDEs were examined overall and in different subgroups, as were time trends in the use of treatment services. RESULTS: The 12-month prevalence of MDEs increased from 8.7% in 2005 to 11.3% in 2014 in adolescents and from 8.8% to 9.6% in young adults (both P < .001). The increase was larger and statistically significant only in the age range of 12 to 20 years. The trends remained significant after adjustment for substance use disorders and sociodemographic factors. Mental health care contacts overall did not change over time; however, the use of specialty mental health providers increased in adolescents and young adults, and the use of prescription medications and inpatient hospitalizations increased in adolescents. CONCLUSIONS: The prevalence of depression in adolescents and young adults has increased in recent years. In the context of little change in mental health treatments, trends in prevalence translate into a growing number of young people with untreated depression. The findings call for renewed efforts to expand service capacity to best meet the mental health care needs of this age group.
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              Adherence to Methodological Standards in Research Using the National Inpatient Sample

              Publicly available data sets hold much potential, but their unique design may require specific analytic approaches.
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                Author and article information

                Contributors
                kimckee@umich.edu
                Journal
                BMC Womens Health
                BMC Womens Health
                BMC Women's Health
                BioMed Central (London )
                1472-6874
                23 July 2020
                23 July 2020
                2020
                : 20
                : 150
                Affiliations
                [1 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Family Medicine, , University of Michigan, ; 1018 Fuller Street, Ann Arbor, MI 48104-1213 USA
                [2 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Obstetrics & Gynecology, , University of Michigan, ; Ann Arbor, MI USA
                [3 ]GRID grid.214458.e, ISNI 0000000086837370, University of Michigan Institute for Healthcare Policy and Innovation, ; Ann Arbor, MI USA
                [4 ]GRID grid.214458.e, ISNI 0000000086837370, Program on Women’s Healthcare Effectiveness Research, , University of Michigan, ; Ann Arbor, MI USA
                [5 ]GRID grid.414021.2, ISNI 0000 0000 9206 4546, Division of General Internal Medicine, , Hennepin Healthcare, ; Minneapolis, MN USA
                [6 ]Hennepin Healthcare Research Institute, Minneapolis, MN USA
                [7 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Psychiatry, , University of Michigan, ; Ann Arbor, MI USA
                [8 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Learning Health Sciences, , University of Michigan, ; Ann Arbor, MI USA
                [9 ]GRID grid.413800.e, ISNI 0000 0004 0419 7525, VA Ann Arbor Healthcare System, ; Ann Arbor, MI USA
                [10 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Health Policy & Management, , School of Public Health, University of Michigan, ; Ann Arbor, MI USA
                Author information
                http://orcid.org/0000-0002-2905-5000
                Article
                996
                10.1186/s12905-020-00996-6
                7376899
                32703202
                ad38936c-066a-40d4-8331-47f835809559
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 29 October 2019
                : 18 June 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Obstetrics & Gynecology
                perinatal mood and anxiety disorders,serious mental illness,depression/anxiety,pregnancy,severe maternal morbidity and mortality

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