Title
Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany
UMMS Affiliation
Department of Quantitative Health Sciences
Publication Date
2020-12-17
Document Type
Article
Disciplines
Health Economics | Health Services Administration | Health Services Research
Abstract
BACKGROUND: 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.
Rights and Permissions
Copyright © The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
DOI of Published Version
10.1186/s12955-020-01629-0
Source
Klapproth CP, van Bebber J, Sidey-Gibbons CJ, Valderas JM, Leplege A, Rose M, Fischer F. Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany. Health Qual Life Outcomes. 2020 Dec 17;18(1):389. doi: 10.1186/s12955-020-01629-0. PMID: 33334351; PMCID: PMC7745375. Link to article on publisher's site
Journal/Book/Conference Title
Health and quality of life outcomes
Related Resources
PubMed ID
33334351
Repository Citation
Klapproth CP, van Bebber J, Sidey-Gibbons CJ, Valderas JM, Leplege A, Rose MS, Rose M, Fischer F. (2020). Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany. Open Access Publications by UMMS Authors. https://doi.org/10.1186/s12955-020-01629-0. Retrieved from https://escholarship.umassmed.edu/oapubs/4504
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Included in
Health Economics Commons, Health Services Administration Commons, Health Services Research Commons