dc.contributor.author
Fischer, H. Felix
dc.contributor.author
Rose, Matthias
dc.date.accessioned
2018-06-08T10:39:03Z
dc.date.available
2016-12-22T12:59:39.924Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/20805
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-24104
dc.description.abstract
Background Recently, a growing number of Item-Response Theory (IRT) models has
been published, which allow estimation of a common latent variable from data
derived by different Patient Reported Outcomes (PROs). When using data from
different PROs, direct estimation of the latent variable has some advantages
over the use of sum score conversion tables. It requires substantial
proficiency in the field of psychometrics to fit such models using
contemporary IRT software. We developed a web application (http://www.common-
metrics.org), which allows estimation of latent variable scores more easily
using IRT models calibrating different measures on instrument independent
scales. Results Currently, the application allows estimation using six
different IRT models for Depression, Anxiety, and Physical Function. Based on
published item parameters, users of the application can directly estimate
latent trait estimates using expected a posteriori (EAP) for sum scores as
well as for specific response patterns, Bayes modal (MAP), Weighted likelihood
estimation (WLE) and Maximum likelihood (ML) methods and under three different
prior distributions. The obtained estimates can be downloaded and analyzed
using standard statistical software. Conclusions This application enhances the
usability of IRT modeling for researchers by allowing comparison of the latent
trait estimates over different PROs, such as the Patient Health Questionnaire
Depression (PHQ-9) and Anxiety (GAD-7) scales, the Center of Epidemiologic
Studies Depression Scale (CES-D), the Beck Depression Inventory (BDI), PROMIS
Anxiety and Depression Short Forms and others. Advantages of this approach
include comparability of data derived with different measures and tolerance
against missing values. The validity of the underlying models needs to be
investigated in the future.
de
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Item-Response Theory
dc.subject
Patient Reported Outcomes
dc.subject
Physical function
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
www.common-metrics.org
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
BMC Medical Research Methodology. - 16 (2016), Artikel Nr. 142
dc.title.subtitle
a web application to estimate scores from different patient-reported outcome
measures on a common scale
dcterms.bibliographicCitation.doi
10.1186/s12874-016-0241-0
dcterms.bibliographicCitation.url
http://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-016-0241-0
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000026071
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000007466
dcterms.accessRights.openaire
open access