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

Overview of attention for article published in Health and Quality of Life Outcomes, June 2016
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Title
Longitudinal measurement invariance in prospective oral health-related quality of life assessment
Published in
Health and Quality of Life Outcomes, June 2016
DOI 10.1186/s12955-016-0492-9
Pubmed ID
Authors

Daniel R. Reissmann, Mike T. John, Leah Feuerstahler, Kazuyoshi Baba, Gyula Szabó, Asja Čelebić, Niels Waller

Abstract

Prospective 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. Data 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. Data 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. The 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 11%
Researcher 6 9%
Other 5 7%
Professor > Associate Professor 4 6%
Student > Doctoral Student 4 6%
Other 13 19%
Unknown 30 43%
Readers by discipline Count As %
Medicine and Dentistry 21 30%
Social Sciences 6 9%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 3 4%
Computer Science 2 3%
Other 6 9%
Unknown 29 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 June 2016.
All research outputs
#18,462,696
of 22,876,619 outputs
Outputs from Health and Quality of Life Outcomes
#1,671
of 2,160 outputs
Outputs of similar age
#256,640
of 341,017 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#23
of 43 outputs
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