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Cost-effectiveness analysis of a collaborative care programme for depression in primary care
Enric Aragonès1, Germán López-Cortacans1, Eduardo Sánchez-Iriso2
1Tarragona-Reus Primary Care Area, Catalan Health Institute, Spain; IDIAP (Primary Care Research Institute) Jordi Gol, Barcelona, Spain.
This study shows that a collaborative care program for depression in Spain is cost-effective. It improves patient outcomes (quality-adjusted life years and depression-free days) with only a modest increase in healthcare costs.
Area of Science:
- Health Economics
- Mental Health Services Research
- Clinical Trial Analysis
Background:
- Collaborative care programs are effective for managing depression.
- A specific collaborative care program has shown effectiveness in Spanish primary care settings.
- The study aimed to assess the economic viability of this program compared to standard care.
Purpose of the Study:
- To evaluate the cost-effectiveness of a collaborative care program for depression.
- To compare the program's costs and outcomes against usual care.
- To determine the incremental cost-effectiveness ratios (ICERs) from both healthcare and societal perspectives.
Main Methods:
- A bottom-up cost-effectiveness analysis was performed within a randomized controlled trial (2007-2010).
- The intervention involved a collaborative care program with integrated clinical, educational, and organizational components.
- Primary outcomes included ICERs calculated using quality-adjusted life years (QALY) and depression-free days (DFD) over a 12-month period.
Main Results:
- The collaborative care program resulted in an average incremental cost of €182.53 per patient from a healthcare perspective.
- The program demonstrated incremental effectiveness of 0.045 QALY and 40.09 DFD.
- The calculated ICERs were €4,056 per QALY and €4.55 per DFD, indicating favorable cost-effectiveness.
Conclusions:
- The collaborative care intervention offers improved patient outcomes compared to usual care at a minimal additional cost.
- Favorable ICERs support the recommendation for implementing this collaborative care model in primary care.
- Potential bias from incomplete patient data and limited non-healthcare cost data were noted limitations.
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