Evidence map›Paper›PMID 39135171›Full record

ArticleHealth and quality of life outcomes2024

A scoping review of the use of minimally important difference of EQ-5D utility index and EQ-VAS scores in health technology assessment.

Caroline Shaw, Louise Longworth, Bryan Bennett, Louise McEntee-Richardson, James W Shaw

Abstract readScoping Review
In one paragraph

Article in Health and quality of life outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Caroline ShawPutnam, Portland House, New Bridge Street West, Newcastle upon Tyne, NE1 8AP, UK. caroline.shaw@putassoc.com.ORCID http://orcid.org/0000-0003-2512-4862
Louise LongworthPutnam, Portland House, New Bridge Street West, Newcastle upon Tyne, NE1 8AP, UK.
Bryan BennettWorldwide Health Economics and Outcomes Research, Bristol-Myers Squibb Pharmaceuticals Limited, Uxbridge, UK.
Louise McEntee-RichardsonPutnam, Portland House, New Bridge Street West, Newcastle upon Tyne, NE1 8AP, UK.
James W ShawWorldwide Health Economics and Outcomes Research, Bristol-Myers Squibb, Lawrenceville, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEstimates of minimally important differences (MID) can assist interpretation of data collected using patient-reported outcomes (PRO), but variability exists in the emphasis placed on MIDs in health technology assessment (HTA) guidelines. This study aimed to identify to what extent information on the MID of a commonly used PRO, the EQ-5D, is required and utilised by selected HTA agencies.

methodsTechnology appraisal (TA) documents from HTA agencies in England, France, Germany, and the US between 2019 and 2021 were reviewed to identify documents which discussed MID of EQ-5D data as a clinical outcome assessment (COA) endpoint.

resultsOf 151 TAs utilising EQ-5D as a COA endpoint, 58 (38%) discussed MID of EQ-5D data. Discussion of MID was most frequent in Germany, in 75% (n = 12/16) of Gemeinsamer Bundesausschuss (G-BA) and 44% (n = 34/78) of Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen, (IQWiG) TAs. MID was predominantly applied to the EQ-VAS (n = 50), most frequently using a threshold of > 7 or > 10 points (n = 13). G-BA and IQWiG frequently criticised MID analyses, particularly the sources of MID thresholds for the EQ-VAS, as they were perceived as being unsuitable for assessing the validity of MID.

conclusionMID of the EQ-5D was not frequently discussed outside of Germany, and this did not appear to negatively impact decision-making of these HTA agencies. While MID thresholds were often applied to EQ-VAS data in German TAs, analyses were frequently rejected in benefit assessments due to concerns with their validity. Companies should pre-specify analyses of continuous data in statistical analysis plans to be considered for treatment benefit assessment in Germany.

Indexed as

Technology Assessment, BiomedicalGermanyHumansMinimal Clinically Important DifferencePatient Reported Outcome MeasuresQuality of LifeSurveys and QuestionnairesEQ-5DHealth-related quality of lifeHealth technology assessmentMinimally important difference

Identifiers

PMID39135171
PMCPMC11321174

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.