The EQ-5D-5L and Minimal Important Change in Long COVID
Adam B. Smith, Darren C. Greenwood, Ruairidh Milne, Mike Ormerod, Manoj Sivan

TL;DR
This study establishes meaningful change thresholds for the EQ-5D-5L in Long COVID patients, aiding in evaluating health improvements.
Contribution
The study provides Long COVID-specific Minimal Clinically Important Difference (MCID) and Minimal Important Difference (MID) thresholds for the EQ-5D-5L.
Findings
MCID estimates for EQ-5D-5L and VAS were 0.11 and 10.6, respectively.
MID for EQ-5D-5L was estimated at 0.03.
Improvement was noted in only about 25% of participants over time.
Abstract
The EQ-5D-5L is the most commonly used patient-reported outcome measure in Long COVID (LC). Despite its frequent use, there have been few studies reporting LC-specific metrics to identify and interpret meaningful change. The aim of the study was therefore to determine the Minimal Clinically Important Difference (MCID) and Minimal Important Difference (MID) measures for the EQ-5D-5L in LC. Data were collected from a national study (LOCOMOTION) evaluating LC services in the UK, involving participants completing the EQ-5D-5L on at least 2 occasions. The EQ-5D domains were categorised using Paretian classification of health states, and the probability of superiority was used to determine changes in health states over time. EQ-5D-5L profile scores were converted into health utilities using the UK-specific algorithm. The MCID was derived using 0.5 standard deviation and the MID by a 0.2…
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Taxonomy
TopicsHealth Systems, Economic Evaluations, Quality of Life · Long-Term Effects of COVID-19 · COVID-19 Clinical Research Studies
