Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12955-020-01629-0
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dc.titlePredicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany
dc.contributor.authorKlapproth, Christoph Paul
dc.contributor.authorvan Bebber, J
dc.contributor.authorSidey-Gibbons, CJ
dc.contributor.authorValderas, JM
dc.contributor.authorLeplege, A
dc.contributor.authorRose, M
dc.contributor.authorFischer, F
dc.date.accessioned2023-01-25T04:15:24Z
dc.date.available2023-01-25T04:15:24Z
dc.date.issued2020-12-17
dc.identifier.citationKlapproth, Christoph Paul, van Bebber, J, Sidey-Gibbons, CJ, Valderas, JM, Leplege, A, Rose, M, Fischer, F (2020-12-17). Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany. HEALTH AND QUALITY OF LIFE OUTCOMES 18 (1). ScholarBank@NUS Repository. https://doi.org/10.1186/s12955-020-01629-0
dc.identifier.issn1477-7525
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/236317
dc.description.abstractBackground: EQ-5D health state utilities (HSU) are commonly used in health economics to compute quality-adjusted life years (QALYs). The EQ-5D, which is country-specific, can be derived directly or by mapping from self-reported health-related quality of life (HRQoL) scales such as the PROMIS-29 profile. The PROMIS-29 from the Patient Reported Outcome Measures Information System is a comprehensive assessment of self-reported health with excellent psychometric properties. We sought to find optimal models predicting the EQ-5D-5L crosswalk from the PROMIS-29 in the United Kingdom, France, and Germany and compared the prediction performances with that of a US model. Methods: We collected EQ-5D-5L and PROMIS-29 profiles and three samples representative of the general populations in the UK (n = 1509), France (n = 1501), and Germany (n = 1502). We used stepwise regression with backward selection to find the best models to predict the EQ-5D-5L crosswalk from all seven PROMIS-29 domains. We investigated the agreement between the observed and predicted EQ-5D-5L crosswalk in all three countries using various indices for the prediction performance, including Bland–Altman plots to examine the performance along the HSU continuum. Results: The EQ-5D-5L crosswalk was best predicted in France (nRMSEFRA = 0.075, nMAEFRA = 0.052), followed by the UK (nRMSEUK = 0.076, nMAEUK = 0.053) and Germany (nRMSEGER = 0.079, nMAEGER = 0.051). The Bland–Altman plots show that the inclusion of higher-order effects reduced the overprediction of low HSU scores. Conclusions: Our models provide a valid method to predict the EQ-5D-5L crosswalk from the PROMIS-29 for the UK, France, and Germany.
dc.language.isoen
dc.publisherBMC
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectHealth Care Sciences & Services
dc.subjectHealth Policy & Services
dc.subjectREPORTED OUTCOME MEASURES
dc.subjectQUALITY-OF-LIFE
dc.subjectITEM BANKS
dc.subjectHEALTH-STATES
dc.subjectSHORT FORMS
dc.subjectSYSTEM
dc.subjectQUESTIONNAIRE
dc.subjectALGORITHMS
dc.subjectPROMISA(R)
dc.subjectVALUATION
dc.typeArticle
dc.date.updated2023-01-20T10:35:21Z
dc.contributor.departmentDEPT OF MEDICINE
dc.description.doi10.1186/s12955-020-01629-0
dc.description.sourcetitleHEALTH AND QUALITY OF LIFE OUTCOMES
dc.description.volume18
dc.description.issue1
dc.published.statePublished
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