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Quality of Life Research

Gepubliceerd in:

01-04-2009

Response shift: a brief overview and proposed research priorities

Auteurs: Ruth Barclay-Goddard, Joshua D. Epstein, Nancy E. Mayo

Gepubliceerd in: Quality of Life Research | Uitgave 3/2009

Abstract

Aim

The objective of this overview is to review current methodologies of response shift research in patient-reported outcomes to facilitate and stimulate further research in this area.

Methods

This paper is a narrative overview of research in response shift.

Results

The following research priorities emerged: (1) obtain a consensus on terminology and theoretical models used, to ensure that all researchers and clinicians are at the same starting point; (2) determine the clinical importance of response shift; (3) determine the best way to measure and adjust for response shift as a clinically important confounder; (4) ascertain how response shift can best be identified when response shift is the focus of clinical treatment; and (5) establish what methods can be used to translate response shift knowledge into real-world settings.

Conclusions

With the adoption of these research priorities, we anticipate that the theories and processes of response shift will be better understood, current methods to analyze this phenomenon will be improved while new ones may also be developed, and the clinical importance and impact of response shift in measuring changes in health-related quality of life (HRQL) will be determined.

vorige artikel Evaluation of the methodological quality of systematic reviews of health status measurement instruments

volgende artikel The 6-item CTS symptoms scale: a brief outcomes measure for carpal tunnel syndrome

FDA. (2006). Guidance for industry: Patient reported outcomes: Use in medical product development to support labeling claims: Draft guidance. Rockville, MD: FDA.

Shimozuma, K., Imai, H., Ohsumi, S., & Ono, M. (2007). Recent topics in health outcomes research in oncology. Breast Cancer (Tokyo, Japan), 14, 60–65. doi:10.2325/jbcs.14.60.

Ahmed, S., Mayo, N., Wood-Dauphinee, S., Hanley, J., & Cohen, S. (2004). Response shift influenced estimates of change in health-related quality of life poststroke. Journal of Clinical Epidemiology, 57, 561–570. doi:10.1016/j.jclinepi.2003.11.003.PubMedCrossRef

Razmjou, H., Yee, A., Ford, M., & Finkelstein, J. (2006). Response shift in outcome assessment in patients undergoing total knee arthroplasty. The Journal of Bone and Joint Surgery, 88-A, 2590–2595. doi:10.2106/JBJS.F.00283.CrossRef

Ring, L., Hofer, S., Heuston, F., Harris, D., & O’Boyle, C. (2005). Response shift masks the treatment impact on Patients Reported Outcomes (PROs): The example of individual quality of life in edentulous patients. Health and Quality of Life Outcomes, 3, 55.

Grootendorst, P., Feeny, D., & Furlong, W. (2000). Health utilities index mark 3: Evidence of construct validity for stroke and arthritis in a population health survey. Medical Care, 38, 290–299. doi:10.1097/00005650-200003000-00006.PubMedCrossRef

Mayo, N., Wood-Dauphinee, S., Cote, R., Durcan, L., & Carlton, J. (2002). Activity, participation, and quality of life 6 months poststroke. Archives of Physical Medicine and Rehabilitation, 83, 1035–1042. doi:10.1053/apmr.2002.33984.PubMedCrossRef

Duncan, P., Weinberger, M., Goldstein, L., Bonito, A., Witter, D., Enarson, C., et al. (1997). Health status of individuals with mild stroke. Stroke, 28, 740–745.PubMed

Gosman-Hedström, G., Claesson, L., & Blomstrand, C. (2008). Consequences of severity at stroke onset for health-related quality of life (HRQL) and informal care: A 1-year follow-up in elderly stroke survivors. Archives of Gerontology and Geriatrics, 47, 79–91. doi:10.1016/j.archger.2007.07.006.PubMedCrossRef

10.

Mayo, N., Wood-Dauphinee, S., Ahmed, S., Gordon, C., Higgins, J., McEwen, S., et al. (1999). Disablement following stroke. Disability and Rehabilitation, 21, 258–268. doi:10.1080/096382899297684.PubMedCrossRef

11.

Anderson, C., Carter, K., Brownlee, W., Hackett, M., Broad, J., & Bonita, R. (2004). Very long-term outcome after stroke in Auckland, New Zealand. Stroke, 35, 1920–1924. doi:10.1161/01.STR.0000133130.20322.9f.PubMedCrossRef

12.

Schwartz, C., Andresen, E. M., Nosek, M., Krahn, G., & RRTC Expert Panel on Health Status Measurement. (2007). Response shift theory: Important implications for measuring quality of life in people with disability. Archives of Physical Medicine and Rehabilitation, 88, 529–536. doi:10.1016/j.apmr.2006.12.032.PubMedCrossRef

13.

Osborne, R., Hawkins, M., & Sprangers, M. (2006). Change of perspective: A measureable and desired outcome of chronic disease self-management intervention programs that violates the premise of preintervention/postintervention assessment. Arthritis and Rheumatism, 55, 458–465. doi:10.1002/art.21982.PubMedCrossRef

14.

Schwartz, C. E., & Sprangers, M. A. (1999). Methodological approaches for assessing response shift in longitudinal health-related quality of life research. Social Science and Medicine, 48, 1531–1548. doi:10.1016/S0277-9536(99)00047-7.PubMedCrossRef

15.

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

16.

Schwartz, C., & Sprangers, M. (2000). Adaptation to changing health—response shift in quality-of-life research. Washington: American Psychological Association.CrossRef

17.

Sprangers, M. A., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Social Science and Medicine, 48, 1507–1515. doi:10.1016/S0277-9536(99)00045-3.PubMedCrossRef

18.

Schwartz, C., & Fairclough, D. (2004). Emerging areas of quality of life research. International Society for Quality of Life Research Newsletter, 9, 4–5.

19.

Norman, G. (2003). Hi! How are you? Response shift, implicit theories and differing epistemologies. Quality of Life Research an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 12, 239–249.PubMed

20.

Wilson, I. B. (1999). Clinical understanding and clinical implications of response shift. Social Science and Medicine, 48, 1577–1588. doi:10.1016/S0277-9536(99)00050-7.PubMedCrossRef

21.

Echteld, M., Deliens, L., Ooms, M., Ribbe, M., & van der Wal, G. (2005). Quality of life change and response shift in patients admitted to palliative care units: A pilot study. Palliative Medicine, 19, 381–388. doi:10.1191/0269216305pm1029oa.PubMedCrossRef

22.

Rees, J., Clarke, M., Waldron, D., O’Boyle, C., Ewings, P., & MacDonagh, R. (2005). The measurement of response shift in patients with advanced prostate cancer and their partners. Health and Quality of Life Outcomes, 3, 21.

23.

Howard, G., Ralph, K., Gulanick, N., Maxwell, S., Nance, D. E., & Gerber, S. (1979). Internal invalidity in pretest-posttest self report evaluations and a reevaluation of retrospective pretests. Applied Psychological Measurement, 3, 1–23. doi:10.1177/014662167900300101.CrossRef

24.

Golembiewski, R., Billingsley, K., & Yeager, S. (1976). Measuring change and persistence in human affairs: Types of change generated by OD designs. The Journal of Applied Behavioral Science, 12, 133–157. doi:10.1177/002188637601200201.CrossRef

25.

Ahmed, S., Mayo, N., Wood-Dauphinee, S., Hanley, J., & Cohen, S. (2005). The structural equation modeling technique did not show a response shift, contrary to the results of the then test and the individualized approaches. Journal of Clinical Epidemiology, 58, 1125–1133. doi:10.1016/j.jclinepi.2005.03.003.PubMedCrossRef

26.

Ahmed, S., Mayo, N., Corbiere, M., Wood-Dauphinee, S., Hanley, J., & Cohen, R. (2005). Using the patient generated index to evaluate response shift post stroke. Quality of Life Research, 14, 2247–2257. doi:10.1007/s11136-005-8118-4.PubMedCrossRef

27.

Mayo, N., Scott, S., Dendukuri, N., Ahmed, S., & Wood-Dauphinee, S. (2008). Identifying response shift statistically at the individual level. Quality of Life Research, 17, 627–639. doi:10.1007/s11136-008-9329-2.PubMedCrossRef

28.

Visser, M., Oort, F., van Lanschot, J., van der Velden, J., Kloek, J., Gouma, D., et al. (2005). Testing the response shift model of Sprangers and Schwartz empirically. Quality of Life Research, 14, 2109. doi:10.1007/s11136-004-2577-x.CrossRef

29.

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, 14. doi:10.1186/1477-7525-2-14.PubMedCrossRef

30.

Fayers, P., Langston, A., & Robertson, C. (2007). Implicit self-comparisons against others could bias quality of life assessments. Journal of Clinical Epidemiology, 60, 1034–1039. doi:10.1016/j.jclinepi.2007.03.005.PubMedCrossRef

31.

Hagedoorn, M., Sneeuw, K. C., & Aaronson, N. K. (2002). Changes in physical functioning and quality of life in patients with cancer: Response shift and relative evaluation of one’s condition. Journal of Clinical Epidemiology, 55, 176–183. doi:10.1016/S0895-4356(01)00438-3.PubMedCrossRef

32.

Dibb, B., & Yardley, L. (2006). How does social comparison within a self-help group influence adjustment to chronic illness? A longitudinal study. Social Science and Medicine, 63, 1602–1613. doi:10.1016/j.socscimed.2006.03.031.PubMedCrossRef

33.

Jansen, S. J., Stiggelbout, A. M., Nooij, M. A., Noordijk, E. M., & Kievit, J. (2000). Response shift in quality of life measurement in early-stage breast cancer patients undergoing radiotherapy. Quality of Life Research an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 9, 603–615.PubMed

34.

Sprangers, M., van Dam, F., Broersen, J., Lodder, L., Wever, L., & Visser, M. (2000). Response shift and fatigue: The use of the then test approach. In C. Schwartz, M. Sprangers, et al. (Eds.), Adaptation to changing health—response shift in quality of life research (1st ed., pp. 137–151). Washington: American Psychological Association.

35.

Schwartz, C. E., Sprangers, M. A. G., Carey, A., & Reed, G. (2004). Exploring response shift in longitudinal data. Psychology & Health, 19, 51–69. doi:10.1080/0887044031000118456.CrossRef

36.

O’Boyle, C., McGee, H., & Browne, J. (2000). Measuring response shift using the schedule for evaluation of individual quality of life. In C. Schwartz & M. Sprangers (Eds.), Adaptation to changing health—response shift in quality of life research (1st ed., pp. 123–136). Washington: American Psychological Association.

37.

Korfage, I. J., de Koning, H. J., & Essink-Bot, M. L. (2007). Response shift due to diagnosis and primary treatment of localized prostate cancer: A then test and a vignette study. Quality of Life Research, 10, 1627–1634. doi:10.1007/s11136-007-9265-6.CrossRef

38.

Schmitt, N. (1982). The use of analysis of covariance structures to assess beta and gamma change. Multivariate Behavioral Research, 17, 343–358. doi:10.1207/s15327906mbr1703_3.CrossRef

39.

Ahmed, S., Mayo, N., Corbiere, M., Wood-Dauphinee, S., Hanley, J., & Cohen, R. (2005). Change in quality of life of people with stroke over time: True change or response shift? Quality of Life Research, 14, 611–627. doi:10.1007/s11136-004-3708-0.PubMedCrossRef

40.

Oort, F. J. (2005). Using structural equation modeling to detect response shifts and true change. Quality of Life Research, 14, 587–598. doi:10.1007/s11136-004-0830-y.PubMedCrossRef

41.

Oort, F. J., Visser, M., & Sprangers, M. A. (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. doi:10.1007/s11136-004-0831-x.PubMedCrossRef

42.

Oort, F., van der Linden, Y., Sprangers, M., & Leer, J. (2005). Response shift detection in the measurement of symptom and functional status of patients with bone metastasis. Quality of Life Research, 14, 2143.

43.

Nolte, S., Elsworth, G., Sinclair, A., & Osborne, R. (2007). Replication of a structural equation modeling approach to detect response shift in participants of health education programs. Quality of Life Research, October[suppl.], A-13.

44.

Barclay-Goddard, R., Lix, L., Mayo, N., Wood-Dauphinee, S., & Tate, R. (2007). A framework for assessing response shift in post-stroke health related quality of life over multiple time points. Quality of Life Research, October[suppl.], A-14.

45.

Schwartz, C. (1999). Teaching coping skills enhances quality of life more than peer support: Results of a randomized trial with multiple sclerosis patients. Health Psychology, 18, 211–220. doi:10.1037/0278-6133.18.3.211.PubMedCrossRef

46.

Brossart, D., Clay, D., & Willson, V. (2002). Methodological and statistical considerations for threats to internal validity in pediatric outcome data: Response shift in self-report outcomes. Journal of Pediatric Psychology, 27, 97–107. doi:10.1093/jpepsy/27.1.97.PubMedCrossRef

47.

Nagin, D. (1999). Analyzing developmental trajectories: A semiparametric, group-based approach. Psychological Methods, 4, 139–157. doi:10.1037/1082-989X.4.2.139.CrossRef

48.

Lowy, A., & Bernhard, J. (2004). Quantitative assessment of changes in patients’ constructs of quality of life: An application of multilevel models. Quality of Life Research, 13, 1185. doi:10.1023/B:QURE.0000037510.17893.d2.CrossRef

49.

Lai, T., Teresi, J., & Gershon, R. (2005). Procedures for the analysis of differential item functioning (DIF) for small sample sizes. Evaluation & the Health Professions, 28, 283–294. doi:10.1177/0163278705278276.CrossRef

50.

Nijsten, T., Whalley, D., Gelfand, J., Margolis, D., McKenna, P., & Stern, R. (2005). The psychometric properties of the psoriasis disability index in United States patients. The Journal of Investigative Dermatology, 125, 665–672. doi:10.1111/j.0022-202X.2005.23775.x.PubMedCrossRef

51.

Schwartz, C. E., & Sprangers, M. (2000). Discussion: Implications of response shift for clinical research. In C. E. Schwartz & M. Sprangers (Eds.), Adaptation to changing health—response shift in quality-of-life research (pp. 211–214). Washington: American Psychological Association.CrossRef

52.

Visser, M., Oort, F., & Sprangers, M. (2005). Methods to detect response shift in quality of life data: A convergent validity study. Quality of Life Research, 14, 629–639. doi:10.1007/s11136-004-2577-x.PubMedCrossRef

53.

Borsboom, G., Korfage, I. J., Essink-Bot, M. L., & Duivenvoorden, H. (2007). Letter to the editor—the structural equation modeling technique did not show a response shift, contrary to the results of the then test and the individualized approaches. Journal of Clinical Epidemiology, 60, 426–428. doi:10.1016/j.jclinepi.2006.08.002.PubMedCrossRef

54.

Osoba, D. (2006). ISOQOL’s 2006 president award’s address. International Society for Quality of Life Research Newsletter, 11, 6–9.

55.

Schwartz, C., Bode, R., Repucci, N., Becker, J., & Sprangers, M. (2006). The clinical significance of adaptation to changing health: A meta-analysis of response shift. Quality of Life Research, 15, 1533–1550. doi:10.1007/s11136-006-0025-9.PubMedCrossRef

56.

Oort, F. (2007). Response shift and measurement bias. Quality of Life Research, October[suppl.], A-14.

57.

Oort, F., Visser, M., Hartman, E., Locadia, M., Niewkerk, P., & Sprangers, M. (2005). Formal definitions of response shift in measurement and conceptual perspectives. Quality of Life Research, 14, 2109.

58.

Rapkin, B., Li, Y., & Patel, S. (2007). Classification and regression tree analysis to support QOL theory development. Quality of Life Research, October[suppl.], A-35.

59.

Schwartz, C., Martha, J., Swaim, B., Bode, R., & Kim, D. (2007). Detecting response shift in using Rasch analysis of then test data. Quality of Life Research, October[suppl.], A-15.

60.

Ring, L., Lindblad, K., Bendtsen, P., Vicklund, E., Jansson, R., & Glimelius, B. (2006). Feasibility and validity of a computer administered version of SEIQoL-DW. Quality of Life Research, 15, 1173–1177. doi:10.1007/s11136-006-0052-6.PubMedCrossRef

Titel: Response shift: a brief overview and proposed research priorities
Auteurs: Ruth Barclay-Goddard
Joshua D. Epstein
Nancy E. Mayo
Publicatiedatum: 01-04-2009
Uitgeverij: Springer Netherlands
Gepubliceerd in: Quality of Life Research / Uitgave 3/2009
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-009-9450-x

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Abstract

Aim

Methods

Results

Conclusions

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