Qual Life Res. 2018 May;27(5):1133-1146. doi: 10.1007/s11136-017-1751-x. Epub 2017 Dec 05.
Scoping review of response shift methods: current reporting practices and recommendations.
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
Tolulope T Sajobi, Ronak Brahmbatt, Lisa M Lix, Bruno D Zumbo, Richard Sawatzky
Affiliations
Affiliations
- Department of Community Health Sciences & O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada. [email protected].
- School of Nursing, Trinity Western University, Langley, Canada.
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
- Department of Educational and Counselling Psychology, and Special Education, University of British Columbia, Vancouver, Canada.
- Centre for Health Evaluation and Outcome Sciences, Providence Health Care, Vancouver, Canada.
PMID: 29210014
DOI: 10.1007/s11136-017-1751-x
Abstract
BACKGROUND: Response shift (RS) has been defined as a change in the meaning of an individual's self-evaluation of his/her health status and quality of life. Several statistical model- and design-based methods have been developed to test for RS in longitudinal data. We reviewed the uptake of these methods in patient-reported outcomes (PRO) literature.
METHODS: CINHAHL, EMBASE, Medline, ProQuest, PsycINFO, and Web of Science were searched to identify English-language articles about RS published until 2016. Data on year and country of publication, PRO measure adopted, RS detection method, type of RS detected, and testing of underlying model assumptions were extracted from the included articles.
RESULTS: Of the 1032 articles identified, 101 (9.8%) articles were included in the study. While 54.5 of the articles reported on the Then-test, 30.7% of the articles reported on Oort's or Schmitt's structural equation modeling (SEM) procedure. Newer RS detection methods, such as relative importance analysis and random forest regression, have been used less frequently. Less than 25% reported on testing the assumptions underlying the adopted RS detection method(s).
CONCLUSIONS: Despite rapid methodological advancements in RS research, this review highlights the need for further research about RS detection methods for complex longitudinal data and standardized reporting guidelines.
Keywords: Patient-reported outcomes; Response shift; Systematic review
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