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

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 me...

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Publicado en:Quality of Life Research Vol. 27; no. 5; pp. 1133 - 1147
Autores principales: Sajobi, Tolulope T., Brahmbatt, Ronak, Lix, Lisa M., Zumbo, Bruno D., Sawatzky, Richard
Formato: research systematic review tables/charts Journal Article
Publicado: Springer Nature May2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2018
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      pub: Springer Nature
      place: New York, New York
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        atl: Scoping review of response shift methods: current reporting practices and recommendations.
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          Sajobi, Tolulope T.
          Brahmbatt, Ronak
          Lix, Lisa M.
          Zumbo, Bruno D.
          Sawatzky, Richard
        affil: Department of Community Health Sciences & O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, T2N 4Z6, Calgary, AB, Canada
      sug:
        subj:
          Patient-Reported Outcomes
          Self Concept
          Health Status
          Quality of Life
          Funding Source
          Systematic Review
          Human
          CINAHL Database
          Embase
          Medline
          Structural Equation Modeling
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
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    language: English
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