ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2021
Using structural equation modeling to investigate change and response shift in patient-reported outcomes: practical considerations and recommendations.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Response shift-adjusted longitudinal assessment of patient-reported outcomes in older people living with HIV: a multilevel structural equation and Rasch analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- A comparative analysis of structural equation modeling and traditional regression analysis in investigating factors affecting health-related quality of life in general Thai population.Health and quality of life outcomes · 2025Article
- Interprofessional Collaboration in Obstetric and Midwifery Care-Multigroup Comparison of Midwives' and Physicians' Perspective.Healthcare (Basel, Switzerland) · 2025Article
- Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study.JMIR human factors · 2025Article
- How to select and understand guidelines for patient-reported outcomes: a scoping review of existing guidance.BMC health services research · 2024Article
- Midwives' empathy and shared decision making from women's perspective - sensitivity of an assessment to compare quality of care in prenatal and obstetric care.BMC pregnancy and childbirth · 2022Article
- Response shift after coronary revascularization.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Social and therapeutic decline earlier than physical and psychological domains after discharge in heart failure patients: A patient-reported outcome measurements of latent transition analysis.Frontiers in cardiovascular medicine · 2022Article
- Service Quality in Early Intervention Centres: An Analysis of Its Influence on Satisfaction and Family Quality of Life.Children (Basel, Switzerland) · 2021Article
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Authors and funding
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Abstract
backgroundPatient-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.
aimsTo 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.
conclusionAppropriate 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.
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