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05-12-2017 | Review | Uitgave 5/2018

Quality of Life Research 5/2018

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

Tijdschrift:
Quality of Life Research > Uitgave 5/2018
Auteurs:
Tolulope T. Sajobi, Ronak Brahmbatt, Lisa M. Lix, Bruno D. Zumbo, Richard Sawatzky
Belangrijke opmerkingen

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s11136-017-1751-x) contains supplementary material, which is available to authorized users.

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.

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Extra materiaal
Supplementary material 1 (DOCX 57 KB)
11136_2017_1751_MOESM1_ESM.docx
Supplementary material 2 (XLSX 20 KB)
11136_2017_1751_MOESM2_ESM.xlsx
Literatuur
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