Abstract
Abstract
Background
Patient-reported outcomes (PROs) are of increasing importance for health-care evaluations. However, the interpretation of change in PROs may be obfuscated due to changes in the meaning of the self-evaluation, i.e., response shift. Structural equation modeling (SEM) is the most widely used statistical approach for the investigation of response shift. Yet, non-technical descriptions of SEM for response shift investigation are lacking. Moreover, application of SEM is not straightforward and requires sequential decision-making practices that have not received much attention in the literature.
Aims
To stimulate appropriate applications and interpretations of SEM for the investigation of response shift, the current paper aims to (1) provide an accessible description of the SEM operationalizations of change that are relevant for response shift investigation; (2) discuss practical considerations in applying SEM; and (3) provide guidelines and recommendations for researchers who want to use SEM for the investigation and interpretation of change and response shift in PROs.
Conclusion
Appropriate applications and interpretations of SEM for the detection of response shift will help to improve our understanding of response shift phenomena and thus change in PROs. Better understanding of patients’ perceived health trajectories will ultimately help to adopt more effective treatments and thus enhance patients’ wellbeing.
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Reference45 articles.
1. Fayers, P., & Machin, D. (2016). Quality of life. The assessment, analysis and reporting of patient-reported outcomes (3rd ed.). Wiley: West Sussex.
2. Huber, M., Knottnerus, J. A., Green, L., van der Harst, H., Jadad, A. R., et al. (2011). How should we define health?. British Medical Journal, 343, d4163.
3. Ferrans, C. E. (2007). Differences in what quality-of-life instruments measure. Journal of the National Cancer Institute Monographs, 37, 22–26.
4. Sprangers, M. A. G., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Social Science and Medicine, 48, 1507–1515.
5. Howard, G. S., Ralph, K. M., Gulanick, N. A., Maxwell, S. E., Nance, S. W., & Gerber, S. K. (1979). Internal invalidity in pretest-posttest self-report evaluations and reevaluation of retrospective pretests. Applied Psychological Measurement, 3, 1–23.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献