Scoping review of response shift methods: current reporting practices and recommendations
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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.
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.
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).
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.
KeywordsResponse shift Systematic review Patient-reported outcomes
The Canadian Institutes of Health Research provided support (Grant # MOP-142404) to Drs Sajobi, Lix, Zumbo, and Sawatzky in this research. Dr. Sajobi is supported by the O’Brien Institute for Public Health; Dr. Lix is supported by the Manitoba Research Chair; and Dr. Sawatzky holds a Canada Research Chair in Patient-Reported Outcomes at Trinity Western University, Langley, British Columbia. We are grateful for the support in conducting literature searches provided by Duncan Dixon, health sciences librarian at Trinity Western University. This research was initiated during Dr. Sajobi’s visit to Trinity Western University in 2014.
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