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Assessing Cost-Effectiveness--Mental Health: introduction to the study and methods
Michelle M Haby1, Rob Carter, Cathrine Mihalopoulos
1Health Surveillance and Evaluation Section, Public Health, Department of Human Services, Melbourne, Australia. michelle.haby@dhs.vic.gov.au
The Australian and New Zealand Journal of Psychiatry
|August 10, 2004
Summary
The Assessing Cost-Effectiveness - Mental Health (ACE-MH) study evaluates Australia's mental health services to identify cost-effective "best practice" interventions. It aims to improve service efficiency and effectiveness by guiding resource allocation.
Area of Science:
- Health economics
- Mental health services research
- Public health policy
Background:
- Australia's mental health services face challenges in effectiveness and efficiency.
- Resource allocation requires evidence-based decision-making for optimal outcomes.
Purpose of the Study:
- To assess cost-effectiveness of Australian mental health services from a health sector perspective.
- To identify opportunities for improving service delivery through best practice interventions.
- To guide resource allocation towards cost-effective mental health solutions.
Main Methods:
- Utilized standardized evaluation methods to avoid limitations of simplistic economic comparisons.
- Calculated cost-effectiveness ratios (cost per disability-adjusted life year saved) using economic and epidemiological data.
- Incorporated systematic reviews, randomized controlled trials, national surveys, and Monte Carlo simulation modelling.
- Assessed interventions using secondary criteria including equity, evidence strength, feasibility, and stakeholder acceptability.
Main Results:
- Cost-effectiveness ratios were calculated for various interventions, presented with uncertainty intervals.
- The study provides a framework for evaluating mental health interventions beyond simple cost-effectiveness.
- Results will inform policy judgments by considering broader benefits and implementation factors.
Conclusions:
- The study highlights methodological challenges in translating trial effect sizes to disability weights.
- Comparisons of cost-effectiveness across different mental health disorders require careful consideration.
- A series of publications will detail the study's findings and implications for policy.