If it's information, it's not "bias": a scoping review and proposed nomenclature for future response-shift research.

Glossary Longitudinal trends Methods Nomenclature Response shift Scoping review

Journal

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
ISSN: 1573-2649
Titre abrégé: Qual Life Res
Pays: Netherlands
ID NLM: 9210257

Informations de publication

Date de publication:
Aug 2022
Historique:
accepted: 15 10 2021
pubmed: 28 10 2021
medline: 7 7 2022
entrez: 27 10 2021
Statut: ppublish

Résumé

The growth in response-shift methods has enabled a stronger empirical foundation to investigate response-shift phenomena in quality-of-life (QOL) research; but many of these methods utilize certain language in framing the research question(s) and interpreting results that treats response-shift effects as "bias," "noise," "nuisance," or otherwise warranting removal from the results rather than as information that matters. The present project will describe the various ways in which researchers have framed the questions for investigating response-shift issues and interpreted the findings, and will develop a nomenclature for such that highlights the important information about resilience reflected by response-shift findings. A scoping review was done of the QOL and response-shift literature (n = 1100 articles) from 1963 to 2020. After culling only empirical response-shift articles, raters characterized how investigators framed and interpreted study research questions (n = 164 articles). Of 10 methods used, papers using four of them utilized terms like "bias" and aimed to remove response-shift effects to reveal "true change." Yet, the investigators' reflections on their own conclusions suggested that they do not truly believe that response shift is error to be removed. A structured nomenclature is proposed for discussing response-shift results in a range of research contexts and response-shift detection methods. It is time for a concerted and focused effort to change the nomenclature of those methods that demonstrated this misinterpretation. Only by framing and interpreting response shift as information, not bias, can we improve our understanding and methods to help to distill outcomes with and without response-shift effects.

Sections du résumé

BACKGROUND BACKGROUND
The growth in response-shift methods has enabled a stronger empirical foundation to investigate response-shift phenomena in quality-of-life (QOL) research; but many of these methods utilize certain language in framing the research question(s) and interpreting results that treats response-shift effects as "bias," "noise," "nuisance," or otherwise warranting removal from the results rather than as information that matters. The present project will describe the various ways in which researchers have framed the questions for investigating response-shift issues and interpreted the findings, and will develop a nomenclature for such that highlights the important information about resilience reflected by response-shift findings.
METHODS METHODS
A scoping review was done of the QOL and response-shift literature (n = 1100 articles) from 1963 to 2020. After culling only empirical response-shift articles, raters characterized how investigators framed and interpreted study research questions (n = 164 articles).
RESULTS RESULTS
Of 10 methods used, papers using four of them utilized terms like "bias" and aimed to remove response-shift effects to reveal "true change." Yet, the investigators' reflections on their own conclusions suggested that they do not truly believe that response shift is error to be removed. A structured nomenclature is proposed for discussing response-shift results in a range of research contexts and response-shift detection methods.
CONCLUSIONS CONCLUSIONS
It is time for a concerted and focused effort to change the nomenclature of those methods that demonstrated this misinterpretation. Only by framing and interpreting response shift as information, not bias, can we improve our understanding and methods to help to distill outcomes with and without response-shift effects.

Identifiants

pubmed: 34705159
doi: 10.1007/s11136-021-03023-9
pii: 10.1007/s11136-021-03023-9
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2247-2257

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Auteurs

Carolyn E Schwartz (CE)

DeltaQuest Foundation, Inc., 31 Mitchell Road, Concord, MA, 01742, USA. carolyn.schwartz@deltaquest.org.
Departments of Medicine and Orthopaedic Surgery, Tufts University Medical School, Boston, MA, USA. carolyn.schwartz@deltaquest.org.

Gudrun Rohde (G)

Department of Clincal Research Sorlandet Hospital, Faculty of Health and Sport Sciences at University of Agder, Kristiansand, Norway.

Elijah Biletch (E)

DeltaQuest Foundation, Inc., 31 Mitchell Road, Concord, MA, 01742, USA.

Richard B B Stuart (RBB)

DeltaQuest Foundation, Inc., 31 Mitchell Road, Concord, MA, 01742, USA.

I-Chan Huang (IC)

Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.

Joseph Lipscomb (J)

Department of Health Policy and Management, Rollins School of Public Health, and the Winship Cancer Institute, Emory University, Atlanta, GA, USA.

Roland B Stark (RB)

DeltaQuest Foundation, Inc., 31 Mitchell Road, Concord, MA, 01742, USA.

Richard L Skolasky (RL)

Department of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

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