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Open Access 01-05-2010 | Commentary

Do not throw out the baby with the bath water: build on current approaches to realize conceptual clarity. Response to Ubel, Peeters, and Smith

Authors: Mirjam A. G. Sprangers, Carolyn E. Schwartz

Published in: Quality of Life Research | Issue 4/2010

Excerpt

We agree with Ubel, Peeters, and Smith [1] that distinct and distinguishable phenomena are subsumed under the term “response shift” and that the field would benefit from conceptual clarity. Without acknowledging the literature of the past 5 years, they argue that researchers should replace the term “response shift” by “recalibration” and “adaptation.” In this counterpoint, we will argue that (1) our understanding of the components and implications of response shift refutes part of their criticism; (2) their suggestion will unfortunately not solve the identified problems; and (3) the recently published approaches to disentangling the different components of response shift are more promising to further the field. …

Ubel, P. A., Peeters, Y., & Smith, D. (2009). Abandoning the language of “response shift”: A plea for conceptual clarity in distinguishing scale recalibration from true changes in quality of life. Quality of Life Research. doi: 10.1007/s11136-010-9592-x.

Schwartz, C. E., Sprangers, M. A. G., & Fayers, P. (2005). You know it’s there but how do you capture it? Challenges for the next phase of response shift research. In P. Fayers & R. Hays (Eds.), Assessing quality of life in clinical trials (2nd ed., pp. 275–290). Oxford, UK: Oxford University Press.

Oort, F. J. (2005). Using structural equation modeling to detect response shifts and true change. Quality of Life Research, 14, 587–598.CrossRefPubMed

Oort, F. J., Visser, M. R. M., & Sprangers, M. A. G. (2005). An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery. Quality of Life Research, 14, 599–609.CrossRefPubMed

Rapkin, B. D., & Schwartz, C. E. (2004). Toward a theoretical model of quality-of-life appraisal: Implications of findings from studies of response shift. Health and Quality of Life Outcomes, 2(1), 14.CrossRefPubMed

Schwartz, C. E., & Rapkin, B. D. (2004). Reconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health and Quality of Life Outcomes, 2, 16.CrossRefPubMed

Schwartz, C. E., & Sprangers, M. A. G. (2000). Adaptation to changing health: Response shift in quality of life research. Washington, DC: American Psychological Association.CrossRef

Oort, F. J., Visser, M. R. M., & Sprangers, M. A. G. (2009). Measurement and conceptual perspectives on response shift: Formal definitions of measurement bias, explanation bias, and response shift. Journal of Clinical Epidemiology, 62, 1126–1137.CrossRefPubMed

Terborg, J. R., Howard, G. S., & Maxwell, S. E. (1980). Evaluating planned organizational change: A method for assessing alpha, beta, and gamma change. Academy of Management Review, 5(1), 109–121.CrossRef

10.

Schwartz, C. E., & Sprangers, M. A. G. (2010). Guidelines for improving the stringency of response shift research using the then-test. Quality of Life Research. doi: 10.1007/s11136-010-9585-9.

11.

King-Kallimanis, B. L., Oort, F. J., Visser, M. R. M., & Sprangers, M. A. G. (2009). Measurement and conceptual perspectives on response shift: An illustrative analysis of cancer patients’ health-related quality-of-life data. Journal of Clinical Epidemiology, 62, 1157–1164.CrossRefPubMed

12.

Ahmed, S., Bourbeau, J., Maltais, F., & Mansour, A. (2009). The Oort structural equation modeling approach detected a response shift after a COPD self-management program not detected by the Schmitt technique. Journal of Clinical Epidemiology, 62, 1165–1172.CrossRefPubMed

13.

Barclay-Goddard, R., Lix, L. M., Tatec, R., Weinberg, L., & Mayo, N. E. (2009). Response shift was identified over multiple occasions with a structural equation modeling framework. Journal of Clinical Epidemiology, 62, 1181–1188.CrossRefPubMed

14.

Mayo, N., Scott, C., & Ahmed, S. (2009). Case management post-stroke did not induce response shift: The value of residuals. Journal of Clinical Epidemiology, 62, 1148–1156.CrossRefPubMed

15.

Li, Y., & Rapkin, B. (2009). Classification and regression tree analysis to identify complex cognitive paths underlying quality of life response shifts: A study of individuals living with HIV/AIDS. Journal of Clinical Epidemiology, 62, 1138–1147.CrossRefPubMed

Title: Do not throw out the baby with the bath water: build on current approaches to realize conceptual clarity. Response to Ubel, Peeters, and Smith
Authors: Mirjam A. G. Sprangers
Carolyn E. Schwartz
Publication date: 01-05-2010
Publisher: Springer Netherlands
Published in: Quality of Life Research / Issue 4/2010
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-010-9611-y

At a glance: The STEP trials

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Do not throw out the baby with the bath water: build on current approaches to realize conceptual clarity. Response to Ubel, Peeters, and Smith

Excerpt

At a glance: The STEP trials

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Excerpt

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