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      Financial Toll of Untreated Perinatal Mood and Anxiety Disorders Among 2017 Births in the United States.

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          Abstract

          Objectives. To estimate the economic burden of untreated perinatal mood and anxiety disorders (PMADs) among 2017 births in the United States.Methods. We developed a mathematical model based on a cost-of-illness approach to estimate the impacts of exposure to untreated PMADs on mothers and children. Our model estimated the costs incurred by mothers and their babies born in 2017, projected from conception through the first 5 years of the birth cohort's lives. We determined model inputs from secondary data sources and a literature review.Results. We estimated PMADs to cost $14 billion for the 2017 birth cohort from conception to 5 years postpartum. The average cost per affected mother-child dyad was about $31 800. Mothers incurred 65% of the costs; children incurred 35%. The largest costs were attributable to reduced economic productivity among affected mothers, more preterm births, and increases in other maternal health expenditures.Conclusions. The US economic burden of PMADs is high. Efforts to lower the prevalence of untreated PMADs could lead to substantial economic savings for employers, insurers, the government, and society.

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          Author and article information

          Journal
          Am J Public Health
          American journal of public health
          American Public Health Association
          1541-0048
          0090-0036
          June 2020
          : 110
          : 6
          Affiliations
          [1 ] Dara Lee Luca is with Mathematica and Harvard Kennedy School, Cambridge, MA. Caroline Margiotta and Colleen Staatz are with Mathematica, Cambridge. Eleanor Garlow is with Mathematica, Washington, DC, and Emory University, Atlanta, GA. Anna Christensen is with Mathematica, Washington, DC. Kara Zivin is with Mathematica, University of Michigan Medical School, and Department of Veterans Affairs, Ann Arbor.
          Article
          10.2105/AJPH.2020.305619
          7204436
          32298167
          903e9fb3-45ba-470e-9548-73bc08031a2f
          History

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