caa a22 4500 606179232 CHVBK 20210128100800.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s11136-014-0876-4 doi (NATIONALLICENCE)springer-10.1007/s11136-014-0876-4 RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies [Elektronische Daten] [Alice Guilleux, Myriam Blanchin, Antoine Vanier, Francis Guillemin, Bruno Falissard, Carolyn Schwartz, Jean-Benoit Hardouin, Véronique Sébille] Purpose: Some 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. Methods: The 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. Results: The 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. Conclusion: An 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. Springer International Publishing Switzerland, 2014 Item response theory nationallicence Response shift nationallicence Missing data nationallicence Attrition nationallicence Bias nationallicence Quality of life nationallicence Guilleux Alice Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut Blanchin Myriam Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut Vanier Antoine Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut Guillemin Francis EA 4360 Apemac, Lorraine University, Paris Descartes University, Nancy, France aut Falissard Bruno INSERM 669, Université Paris-Sud, Université Paris Descartes, Paris, France aut Schwartz Carolyn DeltaQuest Foundation, Inc., 31 Mitchell Road, 01742, Concord, MA, USA aut Hardouin Jean-Benoit Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut Sébille Véronique Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut Quality of Life Research Springer International Publishing 24/3(2015-03-01), 553-564 0962-9343 24:3<553 2015 24 11136 https://doi.org/10.1007/s11136-014-0876-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11136-014-0876-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Guilleux Alice Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut NATIONALLICENCE 700 1- Blanchin Myriam Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut NATIONALLICENCE 700 1- Vanier Antoine Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut NATIONALLICENCE 700 1- Guillemin Francis EA 4360 Apemac, Lorraine University, Paris Descartes University, Nancy, France aut NATIONALLICENCE 700 1- Falissard Bruno INSERM 669, Université Paris-Sud, Université Paris Descartes, Paris, France aut NATIONALLICENCE 700 1- Schwartz Carolyn DeltaQuest Foundation, Inc., 31 Mitchell Road, 01742, Concord, MA, USA aut NATIONALLICENCE 700 1- Hardouin Jean-Benoit Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut NATIONALLICENCE 700 1- Sébille Véronique Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut NATIONALLICENCE 773 0- Quality of Life Research Springer International Publishing 24/3(2015-03-01), 553-564 0962-9343 24:3<553 2015 24 11136