Evidence map›Paper›PMID 27267885›Full record

ArticleHealth and quality of life outcomes2016

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

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health and quality of life outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  8. Bias in retrospective assessment of perceived dental treatment effects when using the Oral Health Impact Profile.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel R ReissmannDepartment of Prosthetic Dentistry, Center for Dental and Oral Medicine, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany. d.reissmann@uke.de.
Mike T JohnDepartment of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN, USA.
Leah FeuerstahlerDepartment of Psychology, University of Minnesota, Minneapolis, USA.
Kazuyoshi BabaDepartment of Prosthodontics, Showa University, Tokyo, Japan.
Gyula SzabóDepartment of Prosthodontics, University of Pécs, Pécs, Hungary.
Asja ČelebićDepartment of Prosthodontics, University of Zagreb and Clinical Hospital Centre, Zagreb, Croatia.
Niels WallerDepartment of Psychology, University of Minnesota, Minneapolis, USA.

Funding

Dimensions of Oral Health-Related Quality of LifeR01DE022331 · NIDCR · UNIVERSITY OF MINNESOTA · PI JOHN, MIKE · 2012 to 2015
$1.8M
NIDCR NIH HHS R01 DE022331NIDCR NIH HHS R01DE022331
6 · The paper itself

Abstract

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.

Indexed as

Oral HealthQuality of LifeAdultAgedAnalysis of VarianceFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedModels, TheoreticalOutcome Assessment, Health CareProspective StudiesProsthodonticsSurveys and QuestionnairesLongitudinal assessmentMeasurement invarianceOHIPOHRQoLProspective studiesResponse shift

Identifiers

PMID27267885
PMCPMC4897855

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.