4.5 Editorial Material

Response shift in results of patient-reported outcome measures: a commentary to The Response Shift-in Sync Working Group initiative

Journal

QUALITY OF LIFE RESEARCH
Volume 30, Issue 12, Pages 3299-3308

Publisher

SPRINGER
DOI: 10.1007/s11136-020-02747-4

Keywords

Response shift; Definition; Theory; Method; Meta-analysis; Decision-making

Funding

  1. Department of Medical Psychology, Amsterdam University Medical Centers, the Netherlands
  2. SPHERE, Universite de Nantes, Universite de Tours, INSERM, France

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This article presents the purpose and operations of the Response Shift Working Group, along with the contributions of the teams involved. The findings cover the definition, theory, methods, and impact on healthcare decision-making of response shift, as well as the analysis of published response shift effects.
Purpose The Working Group undertook a critical, comprehensive synthesis of the response shift work to date. We aimed to (1) describe the rationale for this initiative; (2) outline how the Working Group operated; (3) summarize the papers that comprise this initiative; and (4) discuss the way forward. Methods Four interdisciplinary teams, consisting of response shift experts, external experts, and new investigators, prepared papers on (1) definitions and theoretical underpinnings, (2) operationalizations and response shift methods, (3) implications for healthcare decision-making, and (4) on the published magnitudes of response shift effects. Draft documents were discussed during a two-day meeting. Papers were reviewed by all members. Results Vanier and colleagues revised the formal definition and theory of response shift, and applied these in an amended, explanatory model of response shift. Sebille and colleagues conducted a critical examination of eleven response shift methods and concluded that for each method extra steps are required to make the response shift interpretation plausible. Sawatzky and colleagues created a framework for considering the impact of response shift on healthcare decision-making at the level of the individual patient (micro), the organization (meso), and policy (macro). Sajobi and colleagues are conducting a meta-analysis of published response shift effects. Preliminary findings indicate that the mean effect sizes are often small and variable across studies that measure different outcomes and use different methods. Conclusion Future response shift research will benefit from collaboration among diverse people, formulating alternative hypotheses of response shift, and conducting the most conclusive studies aimed at testing these (falsification).

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