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Published on: August 24, 2019
Measurement properties of preference-based measures for economic evaluation in COPD: a systematic review
Ava Mehdipour1, Marla K Beauchamp1,2,3, Joshua Wald2,4
1School of Rehabilitation Science, McMaster University, 1400 Main St. W., Hamilton, ON, L8S 1C7, Canada.
Purpose:
Preference-based measures can provide measurements of health-related quality of life and be utilized for cost-effectiveness analyses of interventions in individuals with chronic obstructive pulmonary disease (COPD). The purpose of this study is to evaluate whether generic preference-based measures are reliable, valid, and responsive in COPD.
Methods:
A systematic review was performed using the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines. Three databases were searched: MEDLINE, EMBASE, and CINAHL. Studies were included if the sample represented individuals with COPD and the aim was to evaluate one or more psychometric properties or the interpretability of generic preference-based measures.
Results:
Six hundred and sixty-seven abstracts were screened, 65 full-text articles were reviewed and 24 articles met the inclusion criteria. Measures which emerged from the search were the EQ-5D, the SF-6D, the Quality of Well-being scale, the 15D, and the Health Utilities Index 3. Evidence for the test-retest reliability of these measures was limited. Construct validity of the measures was well supported with correlations with generic health profiles being 0.37-0.68, and correlations with COPD-specific health profiles being 0.53-0.75. Evidence for known-groups validity of these measures was poor and data on responsiveness were mixed.
Conclusion:
Generic preference-based measures' sensitivity to change and ability to discriminate between different disease severities in COPD was poorly supported. Future research may consider examining the development of COPD-specific preference-based measures that may allow for a more accurate detection of change and discrimination among disease severities to facilitate cost-effectiveness evaluations.
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