Evidence map›Paper›PMID 25477228›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2015

RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies.

Alice Guilleux, Myriam Blanchin, Antoine Vanier, Francis Guillemin, Bruno Falissard, Carolyn E Schwartz, Jean-Benoit Hardouin, Véronique Sébille

Abstract read
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Impact of response shift on change in patient-reported outcomes: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Pooled it
  2. Pooled it
  3. A systematic review of the quality of reporting of simulation studies about methods for the analysis of complex longitudinal patient-reported outcomes data.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Pooled it
  4. Article
  5. Article
  6. Review
  7. Long-COVID symptom burden and the experience of adversity: the importance of response-shift effects over 3 years of the pandemic.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  8. Response shift in parent-reported psychopathology in children with chronic physical illness.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  9. Implications of the syntheses on definition, theory, and methods conducted by the Response Shift - in Sync Working Group.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  10. Investigation of measurement invariance in longitudinal health-related quality of life in preemptive or previously dialyzed kidney transplant recipients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  11. Evaluation of the link between the Guttman errors and response shift at the individual level.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  12. Response shift in results of patient-reported outcome measures: a commentary to The Response Shift-in Sync Working Group initiative.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  13. Response shift in patient-reported outcomes: definition, theory, and a revised model.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  14. Critical examination of current response shift methods and proposal for advancing new methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Reply to letter to editor: "RespOnse Shift ALgorithm in item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies".Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  19. Letter to editor regarding "RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies".Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  20. Challenges and lessons learned from using anchoring vignettes to explore quality of life response behavior.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Alice GuilleuxBiostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France.
Myriam Blanchin
Antoine Vanier
Francis Guillemin
Bruno Falissard
Carolyn E Schwartz
Jean-Benoit Hardouin
Véronique Sébille

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSome IRT models have the advantage of being robust to missing data and thus can be used with complete data as well as different patterns of missing data (informative or not). The purpose of this paper was to develop an algorithm for response shift (RS) detection using IRT models allowing for non-uniform and uniform recalibration, reprioritization RS recognition and true change estimation with these forms of RS taken into consideration if appropriate.

methodsThe algorithm is described, and its implementation is shown and compared to Oort's structural equation modeling (SEM) procedure using data from a clinical study assessing health-related quality of life in 669 hospitalized patients with chronic conditions.

resultsThe results were quite different for the two methods. Both showed that some items of the SF-36 General Health subscale were affected by response shift, but those items usually differed between IRT and SEM. The IRT algorithm found evidence of small recalibration and reprioritization effects, whereas SEM mostly found evidence of small recalibration effects.

conclusionAn algorithm has been developed for response shift analyses using IRT models and allows the investigation of non-uniform and uniform recalibration as well as reprioritization. Differences in RS detection between IRT and SEM may be due to differences between the two methods in handling missing data. However, one cannot conclude on the differences between IRT and SEM based on a single application on a dataset since the underlying truth is unknown. A next step would be to implement a simulation study to investigate those differences.

Indexed as

AlgorithmsModels, StatisticalPatient Outcome AssessmentChronic DiseaseFemaleHumansLongitudinal StudiesMaleMiddle AgedOutcome Assessment, Health CareQuality of LifeResearch DesignSelf ReportSurveys and Questionnaires

Identifiers

What OpenQuestion holds

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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.