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
Abstract Background Patient-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...
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doaj-219525bb428142ada246cea3f33d39a32021-06-27T11:03:04ZengBMCBMC Medical Research Methodology1471-22882021-06-0121111410.1186/s12874-021-01307-9The 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 interpretationAntoine Vanier0Véronique Sébille1Myriam Blanchin2Jean-Benoit Hardouin3Inserm-University of Tours-University of Nantes, UMR U1246 Sphere “Methods in Patient-Centered Outcomes and Health Research”Inserm-University of Tours-University of Nantes, UMR U1246 Sphere “Methods in Patient-Centered Outcomes and Health Research”Inserm-University of Tours-University of Nantes, UMR U1246 Sphere “Methods in Patient-Centered Outcomes and Health Research”Inserm-University of Tours-University of Nantes, UMR U1246 Sphere “Methods in Patient-Centered Outcomes and Health Research”Abstract Background Patient-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. Methods We propose a model to explain changes in PRO scores and PGRC answers. Results A 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. Conclusions We 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.https://doi.org/10.1186/s12874-021-01307-9Clinical researchPatient-Reported OutcomesMinimal Clinically Important DifferenceMinimal Important DifferenceResponder DefinitionEstimation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Antoine Vanier Véronique Sébille Myriam Blanchin Jean-Benoit Hardouin |
spellingShingle |
Antoine Vanier Véronique Sébille Myriam Blanchin Jean-Benoit Hardouin 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 BMC Medical Research Methodology Clinical research Patient-Reported Outcomes Minimal Clinically Important Difference Minimal Important Difference Responder Definition Estimation |
author_facet |
Antoine Vanier Véronique Sébille Myriam Blanchin Jean-Benoit Hardouin |
author_sort |
Antoine Vanier |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
BMC |
series |
BMC Medical Research Methodology |
issn |
1471-2288 |
publishDate |
2021-06-01 |
description |
Abstract Background Patient-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. Methods We propose a model to explain changes in PRO scores and PGRC answers. Results A 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. Conclusions We 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. |
topic |
Clinical research Patient-Reported Outcomes Minimal Clinically Important Difference Minimal Important Difference Responder Definition Estimation |
url |
https://doi.org/10.1186/s12874-021-01307-9 |
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