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Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr
PURPOSE: Many generic patient-reported instruments are available for the measurement of health outcomes, including EQ-5D-5L, and the Patient-Reported Outcome Measurement Information System (PROMIS). Assessing their measurement characteristics informs users about the consistency between, and limits o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522725/ https://www.ncbi.nlm.nih.gov/pubmed/37347395 http://dx.doi.org/10.1007/s11136-023-03462-6 |
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author | Mulhern, Brendan J. Pan, Tianxin Norman, Richard Tran-Duy, An Hanmer, Janel Viney, Rosalie Devlin, Nancy J. |
author_facet | Mulhern, Brendan J. Pan, Tianxin Norman, Richard Tran-Duy, An Hanmer, Janel Viney, Rosalie Devlin, Nancy J. |
author_sort | Mulhern, Brendan J. |
collection | PubMed |
description | PURPOSE: Many generic patient-reported instruments are available for the measurement of health outcomes, including EQ-5D-5L, and the Patient-Reported Outcome Measurement Information System (PROMIS). Assessing their measurement characteristics informs users about the consistency between, and limits of, evidence produced. The aim was to assess the measurement relationship between the EQ-5D-5L descriptive system and value sets, the PROMIS-29 and PROPr (PROMIS value set). METHODS: Data were extracted from a cross-sectional survey administering measures of quality of life online in Australia. Descriptive analysis, agreement and construct validity assessment methods were used to compare instruments at the item, domain and value set level. RESULTS: In total, 794 Australians completed the survey. Convergent validity analysis found that similar dimensions across instruments were highly correlated (> 0.50), but the PROMIS-29 assesses additional health concepts not explicitly covered by EQ-5D (sleep and fatigue). Known-group assessment found that EQ-5D-5L and PROPr were able to detect those with and without a condition (ES range 0.78–0.83) but PROPr could more precisely detect differing levels of self-reported health. Both instruments were sensitive to differences in levels of pain. DISCUSSION: There is some consistency in what the EQ-5D-5L, PROMIS-29 and PROPr measure. Differences between value set characteristics can be linked to differences what is measured and the valuation approaches used. This has implications for the use of each in assessing health outcomes, and the results can inform decisions about which instrument should be used in which context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-023-03462-6. |
format | Online Article Text |
id | pubmed-10522725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-105227252023-09-28 Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr Mulhern, Brendan J. Pan, Tianxin Norman, Richard Tran-Duy, An Hanmer, Janel Viney, Rosalie Devlin, Nancy J. Qual Life Res Article PURPOSE: Many generic patient-reported instruments are available for the measurement of health outcomes, including EQ-5D-5L, and the Patient-Reported Outcome Measurement Information System (PROMIS). Assessing their measurement characteristics informs users about the consistency between, and limits of, evidence produced. The aim was to assess the measurement relationship between the EQ-5D-5L descriptive system and value sets, the PROMIS-29 and PROPr (PROMIS value set). METHODS: Data were extracted from a cross-sectional survey administering measures of quality of life online in Australia. Descriptive analysis, agreement and construct validity assessment methods were used to compare instruments at the item, domain and value set level. RESULTS: In total, 794 Australians completed the survey. Convergent validity analysis found that similar dimensions across instruments were highly correlated (> 0.50), but the PROMIS-29 assesses additional health concepts not explicitly covered by EQ-5D (sleep and fatigue). Known-group assessment found that EQ-5D-5L and PROPr were able to detect those with and without a condition (ES range 0.78–0.83) but PROPr could more precisely detect differing levels of self-reported health. Both instruments were sensitive to differences in levels of pain. DISCUSSION: There is some consistency in what the EQ-5D-5L, PROMIS-29 and PROPr measure. Differences between value set characteristics can be linked to differences what is measured and the valuation approaches used. This has implications for the use of each in assessing health outcomes, and the results can inform decisions about which instrument should be used in which context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-023-03462-6. Springer International Publishing 2023-06-22 2023 /pmc/articles/PMC10522725/ /pubmed/37347395 http://dx.doi.org/10.1007/s11136-023-03462-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mulhern, Brendan J. Pan, Tianxin Norman, Richard Tran-Duy, An Hanmer, Janel Viney, Rosalie Devlin, Nancy J. Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr |
title | Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr |
title_full | Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr |
title_fullStr | Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr |
title_full_unstemmed | Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr |
title_short | Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr |
title_sort | understanding the measurement relationship between eq-5d-5l, promis-29 and propr |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522725/ https://www.ncbi.nlm.nih.gov/pubmed/37347395 http://dx.doi.org/10.1007/s11136-023-03462-6 |
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