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Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) surveys

  • on behalf of the WHO World Mental Health Survey Collaborators
  • King’s College London
  • London School of Economics and Political Science
  • UC Davis Health
  • Al-Qadisiya University
  • Institut Hospital del Mar d’Investigacions Mediques
  • Pompeu Fabra University
  • Centro de Investigación Biomédica en Red de Epidemiología y Salud Publica
  • National Institute of Psychiatry Ramon de la Fuente Muñiz
  • Katholieke Universiteit Leuven
  • Harvard Medical School
  • National School of Public Health, Management and Professional Development
  • Istituto di Ricovero e Cura a Carattere Scientifico
  • University College Hospital, Ibadan
  • Universitat de Barcelona
  • Shanghai Jiao Tong University School of Medicine
  • Shenzhen Kangning Hospital
  • St George Hospital University Medical Center
  • Research
  • University of Tokyo
  • The Chinese University of Hong Kong
  • University of Cape Town
  • Paris Descartes University
  • Ministry of Health
  • IMIB-Arrixaca
  • University of Michigan, Ann Arbor
  • University of Otago
  • National Center of Neurology and Psychiatry
  • Netherlands Institute of Mental Health and Addiction
  • Federal University of Espírito Santo
  • Harvard T.H. Chan School of Public Health
  • National Institute of Public Health-National Institute of Hygiene
  • National Center of Public Health and Analyses
  • World Health Organization

Research output: Contribution to journalArticlepeer-review

625 Scopus citations

Abstract

Background The treatment gap between the number of people with mental disorders and the number treated represents a major public health challenge. We examine this gap by socio-economic status (SES; indicated by family income and respondent education) and service sector in a cross-national analysis of community epidemiological survey data. Methods Data come from 16 753 respondents with 12-month DSM-IV disorders from community surveys in 25 countries in the WHO World Mental Health Survey Initiative. DSM-IV anxiety, mood, or substance disorders and treatment of these disorders were assessed with the WHO Composite International Diagnostic Interview (CIDI). Results Only 13.7% of 12-month DSM-IV/CIDI cases in lower-middle-income countries, 22.0% in upper-middle-income countries, and 36.8% in high-income countries received treatment. Highest-SES respondents were somewhat more likely to receive treatment, but this was true mostly for specialty mental health treatment, where the association was positive with education (highest treatment among respondents with the highest education and a weak association of education with treatment among other respondents) but non-monotonic with income (somewhat lower treatment rates among middle-income respondents and equivalent among those with high and low incomes). Conclusions The modest, but nonetheless stronger, an association of education than income with treatment raises questions about a financial barriers interpretation of the inverse association of SES with treatment, although future within-country analyses that consider contextual factors might document other important specifications. While beyond the scope of this report, such an expanded analysis could have important implications for designing interventions aimed at increasing mental disorder treatment among socio-economically disadvantaged people.

Original languageEnglish
Pages (from-to)1560-1571
Number of pages12
JournalPsychological Medicine
Volume48
Issue number9
DOIs
StatePublished - 1 Jul 2018

UN SDGs

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

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  3. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Education
  • WMH surveys
  • income
  • inequalities
  • mental disorders
  • mental health service use
  • occupation
  • population studies

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