Literature DB >> 19664904

The Oort structural equation modeling approach detected a response shift after a COPD self-management program not detected by the Schmitt technique.

Sara Ahmed1, Jean Bourbeau, François Maltais, Asmaa Mansour.   

Abstract

OBJECTIVE: If individuals experience a response shift, scores on measures before and after a self-management intervention may not be comparable. This study evaluated whether persons with chronic obstructive pulmonary disease (COPD) experience a response shift after participating in a self-management program. The second objective was to compare the Oort and Schmitt structural equation modeling (SEM) approaches.
METHODS: Secondary analyses from a randomized controlled trial comparing a home- and hospital-based pulmonary rehabilitation program were used to assess response shift on a physical and mental health-measurement model measured using the Chronic Respiratory Questionnaire (CRQ) and the St. George's Respiratory Questionnaire (SGRQ) over a 1-year period.
RESULTS: The Oort approach showed significant changes between the no response shift model and models removing invariance constraints for the residual of the CRQ dyspnea (chi(2)(SBdiff)=7, df=1) (uniform recalibration) and intercepts of the SGRQ activity (chi(2)(SBdiff)=14, df=1) and impact (chi(2)(SBdiff)=10, df=1) subscales (nonuniform recalibration). Change in factor means showed changes in the physical health factor, which was slightly lower in unadjusted (0.32) as compared with the response shift-adjusted model (0.40). The Schmitt procedure was not supportive of any response shift effect and showed a marginal change in random error over time.
CONCLUSIONS: This study showed that COPD patients experienced a response shift after participating in a self-management program, which resulted in an underestimation of change in physical health. These results suggest that the Oort procedure is more sensitive in detecting a response shift, and that a measurement of response shift is needed before results can be interpreted. Future comparisons with other methods and a control group are needed.

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Mesh:

Year:  2009        PMID: 19664904     DOI: 10.1016/j.jclinepi.2009.03.015

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


  14 in total

1.  An opportunity to refine our understanding of "response shift" and to educate researchers on designing quality research studies: response to Ubel, Peeters, and Smith.

Authors:  Bryce B Reeve
Journal:  Qual Life Res       Date:  2010-03-25       Impact factor: 4.147

2.  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

3.  Assessment of response shift using two structural equation modeling techniques.

Authors:  Pranav K Gandhi; L Douglas Ried; I-Chan Huang; Carole L Kimberlin; Teresa L Kauf
Journal:  Qual Life Res       Date:  2012-04-05       Impact factor: 4.147

4.  Response shift in patients with multiple sclerosis: an application of three statistical techniques.

Authors:  Carolyn E Schwartz; Mirjam A G Sprangers; Frans J Oort; Sara Ahmed; Rita Bode; Yuelin Li; Timothy Vollmer
Journal:  Qual Life Res       Date:  2011-11-13       Impact factor: 4.147

5.  Do not throw out the baby with the bath water: build on current approaches to realize conceptual clarity. Response to Ubel, Peeters, and Smith.

Authors:  Mirjam A G Sprangers; Carolyn E Schwartz
Journal:  Qual Life Res       Date:  2010-03-25       Impact factor: 4.147

6.  Minimal evidence of response shift in the absence of a catalyst.

Authors:  Sara Ahmed; Richard Sawatzky; Jean-Frédéric Levesque; Deborah Ehrmann-Feldman; Carolyn E Schwartz
Journal:  Qual Life Res       Date:  2014-06-05       Impact factor: 4.147

7.  Item response theory and factor analysis as a mean to characterize occurrence of response shift in a longitudinal quality of life study in breast cancer patients.

Authors:  Amélie Anota; Caroline Bascoul-Mollevi; Thierry Conroy; Francis Guillemin; Michel Velten; Damien Jolly; Mariette Mercier; Sylvain Causeret; Jean Cuisenier; Olivier Graesslin; Zeinab Hamidou; Franck Bonnetain
Journal:  Health Qual Life Outcomes       Date:  2014-03-08       Impact factor: 3.186

8.  Using classification and regression tree modelling to investigate response shift patterns in dentine hypersensitivity.

Authors:  Carolina Machuca; Mario V Vettore; Marta Krasuska; Sarah R Baker; Peter G Robinson
Journal:  BMC Med Res Methodol       Date:  2017-08-14       Impact factor: 4.615

9.  Patient characteristics and valuation changes impact quality of life and satisfaction in total knee arthroplasty - results from a German prospective cohort study.

Authors:  Julia Felix; Christian Becker; Matthias Vogl; Peter Buschner; Werner Plötz; Reiner Leidl
Journal:  Health Qual Life Outcomes       Date:  2019-12-09       Impact factor: 3.186

10.  Decay of impact after self-management education for people with chronic illnesses: changes in anxiety and depression over one year.

Authors:  M J Park; Joseph Green; Hirono Ishikawa; Yoshihiko Yamazaki; Akira Kitagawa; Miho Ono; Fumiko Yasukata; Takahiro Kiuchi
Journal:  PLoS One       Date:  2013-06-13       Impact factor: 3.240

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