Cited by 130Mental Health Treatment and AccessHealth Systems, Economic Evaluations, Quality of LifeGlobal Health and Epidemiology

Global burden of disease studies: implications for mental and substance use disorders

Whiteford, Harvey, Ferrari, Alize, Degenhardt, Louisa·2016·Health Affairs

Abstract

Global Burden of Disease studies have highlighted mental and substance use disorders as the leading cause of disability globally. Using the studies' findings for policy and planning requires an understanding of how estimates are generated, the required epidemiological data are gathered, disability and premature mortality are defined and counted, and comparative risk assessment for risk-factor analysis is undertaken. The high burden of mental and substance use disorders has increased their priority on the global health agenda, but not enough to prompt concerted action by governments and international agencies. Using Global Burden of Disease estimates in health policy and planning requires combining them with other information such as evidence on the cost-effectiveness of interventions designed to reduce the disorders' burden. Concerted action is required by mental health advocates and policy makers to assemble this evidence, taking into account the health, social, and economic challenges facing each country.

Integrity signals

Registry

Crossref · 10.1377/hlthaff.2016.0082

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Despite evidence of effective and cost-effective interventions and service delivery models, mental health systems worldwide, even in high-resource settings, are typically underfunded, unfair, and inefficient.

    “Despite evidence of effective and cost-effective interventions and service delivery models, mental health systems worldwide, even in high-resource settings, are typically underfunded, unfair, and inefficient. 453,454”

    From The Lancet Psychiatry Commission on youth mental health (2024) · cites this paper as [454]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Whiteford, H., Ferrari, A., & Degenhardt, L.
Affiliations
  • The University of Queensland (AU)
  • Queensland Centre for Mental Health Research (AU)
  • UNSW Sydney (AU)
Venue
Health Affairs
Published
2016-06
Volume
35
Issue
6
Pages
1114-1120
ISSN
  • 0278-2715 (ISSN-L)
  • 1544-5208
OpenAlex
W2414892851
Cited by
130
References
18
Citations by year
2026: 12 · 2025: 12 · 2024: 13 · 2023: 17 · 2022: 25 · 2021: 14 · 2020: 11 · 2019: 9 · 2018: 7 · 2017: 9 · 2016: 1
FWCI
13.65
Type
journal article
Language
en
Open access
closed
Locations
  • Health Affairs (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Health Sciences › Health Professions › Health Information Management › Global Health and Epidemiology
Keywords
global burden of disease, mental illness, substance use disorders, disability, premature mortality, risk factors, health policy, health planning, intervention cost-effectiveness, mental health advocacy
MeSH terms
Global Burden of Disease, Mental Disorders, Health Policy, Humans, Risk Factors, Global Health, Cost of Illness, Substance-Related Disorders

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review