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How valuable are multiple treatment comparison methods in evidence-based health-care evaluation?
Nicola J Cooper1, Jaime Peters, Monica C W Lai
1Department of Health Sciences, University of Leicester, University Road, Leicester, UK. njc21@le.ac.uk
Summary
Multiple treatment comparison (MTC) methods offer a more comprehensive approach to evidence synthesis than pair-wise meta-analysis, incorporating more data and increasing precision for health-care evaluations.
Area of Science:
- Health Economics
- Biostatistics
- Evidence-Based Medicine
Background:
- Health-care interventions require robust evaluation of clinical and cost-effectiveness.
- Traditional pair-wise meta-analysis may not fully utilize available evidence.
- Multiple treatment comparison (MTC) offers a more integrated approach to evidence synthesis.
Purpose of the Study:
- To compare pair-wise meta-analysis with MTC methods for evaluating health-care interventions.
- To assess effectiveness and cost-effectiveness using different evidence synthesis approaches.
Main Methods:
- Applied pair-wise meta-analysis and MTC to three case studies: stroke prevention in atrial fibrillation, drug-eluting stents, and neuraminidase inhibitors for influenza.
- Compared synthesis approaches based on assumptions, empirical estimates, and conclusions.
Main Results:
- Effectiveness estimates between pair-wise and MTC methods varied unpredictably.
- MTC incorporated randomized controlled trial evidence often excluded by pair-wise methods.
- MTC generally improved the precision of effectiveness estimates.
Conclusions:
- MTC syntheses treat evidence as a coherent whole, including more data and potentially relaxing assumptions.
- MTC models are more complex and potentially less transparent than pair-wise methods.
- Careful reporting of MTC model details and assumptions is crucial.
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