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The EQ-5D-5L health status questionnaire in COPD: validity, responsiveness and minimum important difference
Claire M Nolan1, Louise Longworth2, Joanne Lord3
1NIHR Respiratory Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust and Imperial College, Harefield, UK Harefield Pulmonary Rehabilitation Unit, Royal Brompton & Harefield NHS Foundation Trust, London, UK.
Thorax
|April 1, 2016
Summary
The EQ-5D-5L is a valid and responsive health status measure for COPD patients. It demonstrates good correlation with disease-specific tools and is suitable for cost-effectiveness analysis in clinical trials.
Area of Science:
- Health Economics
- Clinical Epidemiology
- Respiratory Medicine
Background:
- The EQ-5D is a widely used health status questionnaire in health economic evaluations.
- The EQ-5D-5L was developed to address limitations of the original EQ-5D, such as unresponsiveness and ceiling effects.
Purpose of the Study:
- To evaluate the validity and responsiveness of the EQ-5D-5L in patients with Chronic Obstructive Pulmonary Disease (COPD).
- To determine the minimum important difference (MID) for the EQ-5D-5L in COPD.
Main Methods:
- Study 1: Assessed validity by comparing EQ-5D-5L utility index and EQ-VAS with disease-specific questionnaires and severity measures in 616 COPD outpatients.
- Study 2: Measured EQ-5D-5L utility index and EQ-VAS changes in 324 COPD patients before and after 8-week pulmonary rehabilitation.
- Estimated MID using distribution and anchor-based approaches.
Main Results:
- EQ-5D-5L utility index and EQ-VAS showed moderate-to-strong correlations with disease-specific measures (r=0.47-0.72).
- Ceiling effects were minimal (7% utility index, 2.6% EQ-VAS).
- Pulmonary rehabilitation led to significant improvements in EQ-5D-5L utility index (0.065) and EQ-VAS (8.6), with standardized response means of 0.39 and 0.44, respectively.
Conclusions:
- The EQ-5D-5L is a valid and responsive instrument for measuring health status in COPD.
- The findings support the use of EQ-5D-5L for generating cost-effectiveness data in COPD clinical trials.
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