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Trends in diagnosis of bipolar and disruptive mood dysregulation disorders in children and youth

  • Jennifer Le
  • , Yana Feygin
  • , Liza Creel
  • , W. David Lohr
  • , V. Faye Jones
  • , P. Gail Williams
  • , John A. Myers
  • , Natalie Pasquenza
  • , Deborah Winders Davis

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Objective: : Rates of pediatric bipolar disorders have increased and some are concerned about diagnostic accuracy. Disruptive mood dysregulation disorder (DMDD) was added to the DSM-5 in 2013. The purpose of this study was to assess diagnostic trends of bipolar disorders and DMDD and to identify predictors of receiving the DMDD diagnosis since implementation of DSM-5. Method: : Kentucky Medicaid claims from 2012–2017 for children under 18 years (N = 814,919; 2012 n = 473,389; 2013 n = 470,918; 2014 n = 499,094; 2015 n = 517,199; 2016 n = 529,048; 2017 n = 535,814) were used. Logistic regression was used to identify predictors of a diagnosis of DMDD in 2015–2017 for a sub-sample (n = 5,071). Results: : The use of DMDD rose after 2013 and mood disorder NOS decreased steadily through 2017. This decrease was seen when there was a diagnosis of bipolar and oppositional defiant disorder (ODD) combined with mood disorder NOS. A diagnosis of only mood disorder NOS in 2012 did not predict DMDD in 2015–2017, but the same diagnosis in 2013 was predictive (OR 2.14, p = 0.049). The reverse is true for a diagnosis of only ADHD in 2013, which did not predict DMDD in later years, but its presence in 2012 was predictive (OR 1.36, p = 0.010). Conclusions: : DMDD increased after 2013, and this was associated with a diagnosis of mood disorder NOS, ADHD, as well as with bipolar disorders comorbid with ODD. Given the complexity of comorbid diagnoses, DMDD may be more accurate in classifying some children. Administrative claims data have limitations, which are discussed; and the data represent only children living in Kentucky.

Original languageEnglish
Pages (from-to)242-248
Number of pages7
JournalJournal of Affective Disorders
Volume264
DOIs
StatePublished - Mar 1 2020

Bibliographical note

Publisher Copyright:
© 2019

Funding

This project was supported, in part, by funding from Norton Children's Hospital (NCH) for conducting pediatric research. The Department of Medicaid Services (DMS) provided the data and acknowledged the submission. Neither NCH nor DMS had any role in the development of the manuscript. Data were obtained from and approved for use by the Kentucky Department of Medicaid Services. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Cabinet for Health & Family Services, Department for Medicaid Services. This project was supported, in part, by funding from Norton Children's Hospital(NCH) for conducting pediatric research. The Department of Medicaid Services (DMS) provided the data and acknowledged the submission. Neither NCH nor DMS had any role in the development of the manuscript. Data were obtained from and approved for use by the Kentucky Department of Medicaid Services. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Cabinet for Health & Family Services, Department for Medicaid Services.

Funders
Cabinet for Health and Family Services’ Department for Medicaid Services
Kentucky Department of Medicaid Services
NCH Rooney Heart Institute
Norton Children's Hospital

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Adolescent
    • Child
    • Medicaid
    • Mood disorders
    • United States

    ASJC Scopus subject areas

    • Clinical Psychology
    • Psychiatry and Mental health

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