The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Utilising survey data to inform public policy: Comparison of the cost-effectiveness of treatment of ten mental disorders
Open accessAbstract
Background: Mental health survey data are now being used proactively to decide how the burden of disease might best be reduced. Aims: To study the cost-effectiveness of current and optimal treatments for mental disorders and the proportion of burden avertable by each. Method: Data for three affective, four anxiety and two alcohol use disorders and for schizophrenia were compared in terms of cost, burden averted and efficiency of current and optimal treatment. We then calculated the burden unavertable given current knowledge. The unit of health gain was a reduction in the years lived with disability (YLDs). Results: Summing across all disorders, current treatment averted 13% of the burden, at an average cost of AUS$30 000 per YLD gained. Optimal treatment at current coverage could avert 20% of the burden, at an average cost of AUS$18 000 per YLD gained. Optimal treatment at optimal coverage could avert 28% of the burden, at AUS$16 000 per YLD gained. Sixty per cent of the burden of mental disorders was deemed to be unavertable. Conclusions: The efficiency of treatment varied more than tenfold across disorders. Although coverage of some of the more efficient treatments should be extended, other factors justify continued use of less-efficient treatments for some disorders.
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“In a utopian world, even if unlimited funding were available, three-quarters of the burden of schizophrenia would remain unavoidable [240].”
From A Systematic Review of the Prevalence of Schizophrenia (2005) · cites this paper as [240]
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“If we improve efficiencies within the current services, we can do somewhat better (22%).”
From A Systematic Review of the Prevalence of Schizophrenia (2005) · cites this paper as [240]
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“For schizophrenia, with the current mix of interventions we can only reduce 13% of the burden.”
From A Systematic Review of the Prevalence of Schizophrenia (2005) · cites this paper as [240]
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Background
Metadata
- Authors
- Andrews, G., Issakidis, C., Sanderson, K., Corry, J., & Lapsley, H.
- Affiliations
- UNSW Sydney (AU)
- Queensland University of Technology (AU)
- The University of Queensland (AU)
- Corresponding author
- Andrews, Gavin
- Venue
- British Journal of Psychiatry
- Publisher
- Royal College of Psychiatrists
- Published
- 2004-06
- Volume
- 184
- Issue
- 6
- Pages
- 526-533
- ISSN
- 0007-1250 (ISSN-L)
- 1472-1465
- OpenAlex
- W94943583
- Cited by
- 560
- References
- 29
- Citations by year
- 2026: 10 · 2025: 22 · 2024: 13 · 2023: 42 · 2022: 16 · 2021: 36 · 2020: 38 · 2019: 24 · 2018: 24 · 2017: 35 · 2016: 21 · 2015: 34 · 2014: 29 · 2013: 31 · 2012: 24
- FWCI
- 48.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The British Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Centre for Health Research; Faculty of Health; Institute of Health and Biomedical Innovation
- Funders
- Medical Research Council
- National Health and Medical Research Council
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
- Keywords
- mental illness, cost-effectiveness, psychotherapy, disease burden, years lived with disability, mood disorders, anxiety disorders, alcoholism, schizophrenia, treatment coverage, public policy
- MeSH terms
- Anxiety Disorders, Australia, Mental Disorders, Bipolar Disorder, Cost-Benefit Analysis, Health Policy, Health Surveys, Humans, Mental Health Services, Psychoses, Alcoholic, Schizophrenia, Time Factors, Cost of Illness, Evidence-Based Medicine, Mood Disorders
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