Evidence map›Paper›PMID 32398083›Full record

SynthesisHealth and quality of life outcomes2020

How is the minimal clinically important difference established in health-related quality of life instruments? Review of anchors and methods.

Yosra Mouelhi, Elisabeth Jouve, Christel Castelli, Stéphanie Gentile

Abstract readSystematic Review
In one paragraph

Synthesis in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 212 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
212citing papers in PubMed, 14 pooled it
–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

212 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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  6. Optimal dose and type of exercise improve the overall balance in adults with Parkinson's disease: a systematic review and Bayesian network meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  16. The minimal clinically important difference for the patient activation measure in a culturally and linguistically diverse cohort with chronic conditions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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152 more citing papers are in PubMed but not listed here.

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

4 authors.

Yosra MouelhiLaboratoire de Santé Publique, Faculté de Médecine, Université Aix-Marseille, 3279, Marseille, EA, France.
Elisabeth JouveService d'Evaluation Médicale, Assistance Publique - Hôpitaux de Marseille, Marseille, France.
Christel CastelliService Biostatistique Epidemiologie Santé Publique Innovation et Méthodologie (BESPIM), CHU Nîmes, Nîmes, France.
Stéphanie GentileLaboratoire de Santé Publique, Faculté de Médecine, Université Aix-Marseille, 3279, Marseille, EA, France. StephanieMarie.GENTILE@ap-hm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this systematic review is to describe the different types of anchors and statistical methods used in estimating the Minimal Clinically Important Difference (MCID) for Health-Related Quality of Life (HRQoL) instruments.

methodsPubMed and Google scholar were searched for English and French language studies published from 2010 to 2018 using selected keywords. We included original articles (reviews, meta-analysis, commentaries and research letters were not considered) that described anchors and statistical methods used to estimate the MCID in HRQoL instruments.

resultsForty-seven papers satisfied the inclusion criteria. The MCID was estimated for 6 generic and 18 disease-specific instruments. Most studies in our review used anchor-based methods (n = 41), either alone or in combination with distribution-based methods. The most common applied anchors were non-clinical, from the viewpoint of patients. Different statistical methods for anchor-based methods were applied and the Change Difference (CD) was the most used one. Most distributional methods included 0.2 standard deviations (SD), 0.3 SD, 0.5 SD and 1 standard error of measurement (SEM). MCID values were very variable depending on methods applied, and also on clinical context of the study.

conclusionMultiple anchors and methods were applied in the included studies, which lead to different estimations of MCID. Using several methods enables to assess the robustness of the results. This corresponds to a sensitivity analysis of the methods. Close collaboration between statisticians and clinicians is recommended to integrate an agreement regarding the appropriate method to determine MCID for a specific context.

Indexed as

Minimal Clinically Important DifferenceQuality of LifeAdultAgedFemaleHumansMaleMiddle AgedPsychometricsAnchors-based methodsDistribution-based methodsHealth-related-quality of lifeMinimal clinically important difference

Identifiers

PMID32398083
PMCPMC7218583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.