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Using Patient Health Questionnaire-9 item parameters of a common metric resulted in similar depression scores compared to independent item response theory model reestimation

Liegl, Gregor, Wahl, Inka, Berghöfer, Anne, Nolte, Sandra, Pieh, Christoph, Rose, Matthias and Fischer, Felix 2016, Using Patient Health Questionnaire-9 item parameters of a common metric resulted in similar depression scores compared to independent item response theory model reestimation, Journal of clinical epidemiology, vol. 71, pp. 25-34, doi: 10.1016/j.jclinepi.2015.10.006.

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Title Using Patient Health Questionnaire-9 item parameters of a common metric resulted in similar depression scores compared to independent item response theory model reestimation
Author(s) Liegl, Gregor
Wahl, Inka
Berghöfer, Anne
Nolte, Sandra
Pieh, Christoph
Rose, Matthias
Fischer, Felix
Journal name Journal of clinical epidemiology
Volume number 71
Start page 25
End page 34
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-03
ISSN 0895-4356
Keyword(s) depression
common metric
outcome assessment
patient-reported outcomes
item bank
score linking
Summary Objectives: To investigate the validity of a common depression metric in independent samples. Study Design and Setting: We applied a common metrics approach based on item-response theory for measuring depression to four German-speaking samples that completed the Patient Health Questionnaire (PHQ-9). We compared the PHQ item parameters reported for this common metric to reestimated item parameters that derived from fitting a generalized partial credit model solely to the PHQ-9 items. We calibrated the new model on the same scale as the common metric using two approaches (estimation with shifted prior and StockingeLord linking). By fitting a mixed-effects model and using BlandeAltman plots, we investigated the agreement between latent depression scores resulting from the different estimation models. Results: We found different item parameters across samples and estimation methods. Although differences in latent depression scores between different estimation methods were statistically significant, these were clinically irrelevant. Conclusion: Our findings provide evidence that it is possible to estimate latent depression scores by using the item parameters from a common metric instead of reestimating and linking a model. The use of common metric parameters is simple, for example, using a Web application (http://www.common-metrics.org) and offers a long-term perspective to improve the comparability of patient-reported outcome measures.
Language eng
DOI 10.1016/j.jclinepi.2015.10.006
Field of Research 11 Medical And Health Sciences
01 Mathematical Sciences
Socio Economic Objective 929999 Health not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081328

Document type: Journal Article
Collection: School of Health and Social Development
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