Literature DB >> 16223655

The structural equation modeling technique did not show a response shift, contrary to the results of the then test and the individualized approaches.

Sara Ahmed1, Nancy E Mayo, Sharon Wood-Dauphinee, James A Hanley, S Robin Cohen.   

Abstract

BACKGROUND AND
OBJECTIVE: Persons experiencing changes in their physical health may change their values and rerate the importance of basic elements of health-related quality of life (HRQL), a process known as response shift. Developing an estimator of HRQL that differentiates between objective change and response shift is essential for the interpretation of the results. The purpose of the present article was to contrast three methodologic approaches for evaluating response shift to develop a proposed set of HRQL measurement recommendations under circumstances where response shift is expected to occur.
METHODS: The three approaches compared were a structural equation modeling (SEM) technique, the then test, and an individualized approach. The data collection procedures for these methods were incorporated into a poststroke randomized controlled trial.
RESULTS: The SEM did not show a response shift, contrary to the results of the then test and the individualized approaches. We discuss factors that effect the selection of a methodologic approach including feasibility, subjects' memory and more advanced cognitive tasks, and whether response shift was evaluated at the group or individual level.
CONCLUSION: The evaluation of response shift is an integral part of HRQL evaluations, and further comparisons between methodologic approaches are needed.

Entities:  

Mesh:

Year:  2005        PMID: 16223655     DOI: 10.1016/j.jclinepi.2005.03.003

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  14 in total

1.  Response shift: a brief overview and proposed research priorities.

Authors:  Ruth Barclay-Goddard; Joshua D Epstein; Nancy E Mayo
Journal:  Qual Life Res       Date:  2009-02-25       Impact factor: 4.147

2.  Using latent trajectory analysis of residuals to detect response shift in general health among patients with multiple sclerosis. [corrected].

Authors:  Sara Ahmed; Nancy Mayo; Susan Scott; Ayse Kuspinar; Carolyn Schwartz
Journal:  Qual Life Res       Date:  2011-10-21       Impact factor: 4.147

3.  Guidelines for improving the stringency of response shift research using the thentest.

Authors:  Carolyn E Schwartz; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2010-01-19       Impact factor: 4.147

4.  Guidelines for secondary analysis in search of response shift.

Authors:  Carolyn E Schwartz; Sara Ahmed; Richard Sawatzky; Tolulope Sajobi; Nancy Mayo; Joel Finkelstein; Lisa Lix; Mathilde G E Verdam; Frans J Oort; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2013-04-10       Impact factor: 4.147

Review 5.  Scoping review of response shift methods: current reporting practices and recommendations.

Authors:  Tolulope T Sajobi; Ronak Brahmbatt; Lisa M Lix; Bruno D Zumbo; Richard Sawatzky
Journal:  Qual Life Res       Date:  2017-12-05       Impact factor: 4.147

6.  Bias in retrospective assessment of perceived dental treatment effects when using the Oral Health Impact Profile.

Authors:  Daniel R Reissmann; Antje Erler; Christian Hirsch; Ira Sierwald; Carolina Machuca; Oliver Schierz
Journal:  Qual Life Res       Date:  2017-10-23       Impact factor: 4.147

7.  Influence of explanatory and confounding variables on HRQoL after controlling for measurement bias and response shift in measurement.

Authors:  Pranav K Gandhi; L Douglas Ried; Carole L Kimberlin; Teresa L Kauf; I-Chan Huang
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2013-12       Impact factor: 2.217

8.  Identifying response shift statistically at the individual level.

Authors:  Nancy E Mayo; Susan C Scott; Nandini Dendukuri; Sara Ahmed; Sharon Wood-Dauphinee
Journal:  Qual Life Res       Date:  2008-05       Impact factor: 4.147

9.  Response shift, recall bias and their effect on measuring change in health-related quality of life amongst older hospital patients.

Authors:  Steven McPhail; Terry Haines
Journal:  Health Qual Life Outcomes       Date:  2010-07-10       Impact factor: 3.186

10.  An item-level response shift study on the change of health state with the rating of asthma-specific quality of life: a report from the PROMIS(®) Pediatric Asthma Study.

Authors:  Pranav K Gandhi; Carolyn E Schwartz; Bryce B Reeve; Darren A DeWalt; Heather E Gross; I-Chan Huang
Journal:  Qual Life Res       Date:  2016-04-09       Impact factor: 4.147

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