Evidence map›Paper›PMID 34154521›Full record

ArticleBMC medical research methodology2021

The minimal perceived change: a formal model of the responder definition according to the patient's meaning of change for patient-reported outcome data analysis and interpretation.

Antoine Vanier, Véronique Sébille, Myriam Blanchin, Jean-Benoit Hardouin

Abstract read
In one paragraph

Article in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Meaningful change threshold estimation for the non-small cell lung cancer symptom assessment questionnaire (NSCLC-SAQ): psychometric analysis from a phase 3 trial (LIBRETTO-431).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Trial
  2. Estimating the minimal important change of single-item measures using the adjusted predictive modeling method or the longitudinal confirmatory factor analysis method.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. A weighted predictive modeling method for estimating thresholds of meaningful within-individual change for patient-reported outcomes.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  4. Conceptualizing meaningful between-group difference in change over time: a demonstration of possible viewpoints.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  5. Article
  6. Effect of present state bias on minimal important change estimates: a simulation study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  7. The MIDQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  8. Anchor-based minimal important difference values are often sensitive to the distribution of the change score.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  9. Estimating anchor-based minimal important change using longitudinal confirmatory factor analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  10. Estimating meaningful thresholds for multi-item questionnaires using item response theory.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  11. Introduction to the special section: "Methodologies and considerations for meaningful change".Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  12. Establishing thresholds for meaningful within-individual change using longitudinal item response theory.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  13. Article
  14. Triangulation of multiple meaningful change thresholds for patient-reported outcome scores.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Review
  15. Review
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.

Antoine VanierInserm-University of Tours-University of Nantes, UMR U1246 Sphere "Methods in Patient-Centered Outcomes and Health Research", 37000, Tours, France. antoine.vanier@univ-tours.fr.ORCID 0000-0001-6033-9282
Véronique SébilleInserm-University of Tours-University of Nantes, UMR U1246 Sphere "Methods in Patient-Centered Outcomes and Health Research", 37000, Tours, France.
Myriam BlanchinInserm-University of Tours-University of Nantes, UMR U1246 Sphere "Methods in Patient-Centered Outcomes and Health Research", 37000, Tours, France.
Jean-Benoit HardouinInserm-University of Tours-University of Nantes, UMR U1246 Sphere "Methods in Patient-Centered Outcomes and Health Research", 37000, Tours, France.

Funding

Agence Nationale de la recherche (FR) ANR-15-CE36-0003-01
6 · The paper itself

Abstract

backgroundPatient-Reported Outcomes (PROs) are standardized questionnaires used to measure subjective outcomes such as quality of life in healthcare. They are considered paramount to assess the results of therapeutic interventions. However, because their calibration is relative to internal standards in people's mind, changes in PRO scores are difficult to interpret. Knowing the smallest value in the score that the patient perceives as change can help. An estimator linking the answers to a Patient Global Rating of Change (PGRC: a question measuring the overall feeling of change) with change in PRO scores is frequently used to obtain this value. In the last 30 years, a plethora of methods have been used to obtain these estimates, but there is no consensus on the appropriate method and no formal definition of this value.

methodsWe propose a model to explain changes in PRO scores and PGRC answers.

resultsA PGRC measures a construct called the Perceived Change (PC), whose determinants are elicited. Answering a PGRC requires discretizing a continuous PC into a category using threshold values that are random variables. Therefore, the populational value of the Minimal Perceived Change (MPC) is the location parameter value of the threshold on the PC continuum defining the switch from the absence of change to change.

conclusionsWe show how this model can help to hypothesize what are the appropriate methods to estimate the MPC and its potential to be a rigorous theoretical basis for future work on the interpretation of change in PRO scores.

Indexed as

Data AnalysisQuality of LifeEmotionsHumansPatient Reported Outcome MeasuresSurveys and QuestionnairesClinical researchEstimationHealth-Related Quality of LifeMinimal Clinically Important DifferenceMinimal Important DifferenceModelPatient-Reported OutcomesPsychometricsResponder DefinitionTheory

Identifiers

PMID34154521
PMCPMC8215756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.