Cited by 110Health Systems, Economic Evaluations, Quality of LifeMental Health Treatment and AccessAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

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Modelling the population cost-effectiveness of current and evidence-based optimal treatment for anxiety disorders

ISSAKIDIS, C., SANDERSON, K., CORRY, J., ANDREWS, G., LAPSLEY, H.·2004·Psychological Medicine

DOI 10.1017/s003329170300881x

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Abstract

BACKGROUND: The present paper describes a component of a large population cost-effectiveness study that aimed to identify the averted burden and economic efficiency of current and optimal treatment for the major mental disorders. This paper reports on the findings for the anxiety disorders (panic disorder/agoraphobia, social phobia, generalized anxiety disorder, post-traumatic stress disorder and obsessive compulsive disorder). METHOD: Outcome was calculated as averted 'years lived with disability' (YLD), a population summary measure of disability burden. Costs were the direct health care costs in 1997-8 Australian dollars. The cost per YLD averted (efficiency) was calculated for those already in contact with the health system for a mental health problem (current care) and for a hypothetical optimal care package of evidence-based treatment for this same group. Data sources included the Australian National Survey of Mental Health and Well-being and published treatment effects and unit costs. RESULTS: Current coverage was around 40% for most disorders with the exception of social phobia at 21%. Receipt of interventions consistent with evidence-based care ranged from 32% of those in contact with services for social phobia to 64% for post-traumatic stress disorder. The cost of this care was estimated at dollar 400 million, resulting in a cost per YLD averted ranging from dollar 7761 for generalized anxiety disorder to dollar 34 389 for panic/agoraphobia. Under optimal care, costs remained similar but health gains were increased substantially, reducing the cost per YLD to < dollar 20 000 for all disorders. CONCLUSIONS: Evidence-based care for anxiety disorders would produce greater population health gain at a similar cost to that of current care, resulting in a substantial increase in the cost-effectiveness of treatment.

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Authors: ISSAKIDIS, C., SANDERSON, K., CORRY, J., ANDREWS, G., & LAPSLEY, H.
Affiliations: UNSW Sydney (AU)
ORCID: SANDERSON, K.
ANDREWS, G.
LAPSLEY, H.
Venue: Psychological Medicine
Publisher: Cambridge University Press (CUP)
Published: 2004-01
Volume: 34
Issue: 1
Pages: 19-35
ISSN: 0033-2917 (ISSN-L)
1469-8978
DOI: 10.1017/s003329170300881x
OpenAlex: W2036167557
Cited by: 110
References: 37
Citations by year: 2025: 1 · 2024: 2 · 2023: 3 · 2021: 10 · 2020: 1 · 2019: 3 · 2018: 5 · 2017: 1 · 2016: 5 · 2015: 3 · 2014: 8 · 2013: 4 · 2012: 9
FWCI: 26.21
Type: journal article
Language: en
Open access: closed
Licence: www.cambridge.org/core/terms (unspecified, 13 d)
Locations: Psychological Medicine (publishedVersion)
PubMed (publishedVersion)
eCite Digital Repository (University of Tasmania) (submittedVersion)
Figshare (submittedVersion)
UEA Digital Repository (University of East Anglia) (submittedVersion)
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 › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords: anxiety disorders, cost-effectiveness, evidence-based treatment, years lived with disability, disability burden, generalized anxiety disorder, panic disorder, agoraphobia, social anxiety disorder, post-traumatic stress disorder, obsessive-compulsive disorder, treatment costs
MeSH terms: Anxiety Disorders, Australia, Cost-Benefit Analysis, Humans, Mental Health Services, Monte Carlo Method, Anti-Anxiety Agents, Cognitive Behavioral Therapy, Health Care Costs, Models, Econometric, Cost of Illness, Quality-Adjusted Life Years, Evidence-Based Medicine

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Modelling the population cost-effectiveness of current and evidence-based optimal treatment for anxiety disorders

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