Longitudinal measurement invariance in prospective oral health-related quality of life assessment

Health and Quality of Life Outcomes

Research

Mike T. John¹  Daniel R. Reissmann²  Kazuyoshi Baba³  Gyula Szabó⁴  Asja Čelebić⁵  Niels Waller⁶  Leah Feuerstahler⁶ 

[1] Department of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN, USA;Department of Prosthetic Dentistry, Center for Dental and Oral Medicine, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany;Department of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN, USA;Department of Prosthodontics, Showa University, Tokyo, Japan;Department of Prosthodontics, University of Pécs, Pécs, Hungary;Department of Prosthodontics, University of Zagreb and Clinical Hospital Centre, Zagreb, Croatia;Department of Psychology, University of Minnesota, Minneapolis, USA;

关键词: OHRQoL;    OHIP;    Measurement invariance;    Response shift;    Prospective studies;    Longitudinal assessment;   

DOI  :  10.1186/s12955-016-0492-9

 received in 2015-09-16, accepted in 2016-05-31,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundProspective assessments of oral health-related quality of life (OHRQoL) changes are prone to response shift effects when patients reconceptualize, reprioritize, or recalibrate the perceived meanings of OHRQoL test items. If this occurs, OHRQoL measurements are not “invariant” and may reflect changes in problem profiles or perceptions of OHRQoL test items. This suggests that response shift effects must be measured and controlled to achieve valid prospective OHRQoL measurement. The aim of this study was to quantify response shift effects of Oral Health Impact Profile (OHIP) scores in prospective studies of prosthodontic patients.MethodsData came from the Dimensions of Oral Health-Related Quality of Life Project. The final sample included 554 patients who completed the OHIP questionnaire on two occasions: pre- and post-treatment. Only items that compose the 14-item OHIP were analyzed. Structural equation models that included pre- and post-treatment latent factors of OHRQoL with different across-occasion constraints for factor loadings, intercepts, and residual variances were fit to the data using confirmatory factor analysis.ResultsData fit both the unconstrained model (RMSEA = .038, SRMR = .051, CFI = .92, TLI = .91) and the partially constrained model with freed residual variances (RMSEA = .037, SRMR = .064, CFI = .92, TLI = .92) well, meaning that the data are well approximated by a one-factor model at each occasion, and suggesting strong factorial across-occasion measurement invariance.ConclusionsThe results provided cogent evidence for the absence of response shift in single factor OHIP models, indicating that longitudinal OHIP assessments of OHRQoL measure similar constructs across occasions.

【 授权许可】

CC BY   
© The Author(s). 2016

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