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A systematic review of minimum important changes for generic multi-attribute utility instruments and recommendations
Glen J Henson1, Ingrid van der Mei1, Bruce V Taylor1
1Menzies Institute for Medical Research (University of Tasmania), 17 Liverpool St, Hobart, TAS, 7000, Australia.
Summary
This study reviews minimum important changes (MICs) for multi-attribute utility instruments (MAUIs). Current MICs have reporting deficiencies and varied estimation methods, suggesting caution in their use for health economics.
Area of Science:
- Health Economics
- Quality of Life Research
- Psychometrics
Background:
- Minimum important changes (MICs) define clinically meaningful improvements.
- Multi-attribute utility instruments (MAUIs) measure health-related quality of life.
- No systematic reviews or guidelines exist for MAUI MICs.
Purpose of the Study:
- Conduct a systematic review of MICs for MAUIs.
- Develop guidelines for estimating MAUI MICs.
- Address evidence gaps in MAUI MIC research.
Main Methods:
- Systematic search of ten databases.
- Narrative and descriptive analysis of extracted data.
- Evaluation of reporting quality (precision, sensitivity, validity).
Main Results:
- Identified 282 unique anchor-based MICs from 68 studies.
- EQ-5D-3L, EQ-5D-5L, and SF-6D.v1 were most common MAUIs.
- Mean change score was the most frequent estimation method; reporting quality was deficient.
Conclusions:
- Existing MAUI MIC literature has reporting and methodological concerns.
- Researchers should use caution with current MAUI MICs.
- Proposed recommendations can aid future MIC estimation in health economics.
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