Comparison of the PROMIS Preference Score (PROPr) and EQ-5D-5L Index Value in General Population Samples in the United Kingdom, France, and Germany

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Comparison of the PROMIS Preference Score (PROPr) and EQ-5D-5L Index Value in General Population Samples in the United Kingdom, France, and Germany. / Klapproth, Christoph Paul; Sidey-Gibbons, Christopher J; Valderas, José Martinez; Rose, Matthias; Fischer, Felix.

in: VALUE HEALTH, Jahrgang 25, Nr. 5, 05.2022, S. 824-834.

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@article{6b7207919a36491d81f58931bc2532d3,
title = "Comparison of the PROMIS Preference Score (PROPr) and EQ-5D-5L Index Value in General Population Samples in the United Kingdom, France, and Germany",
abstract = "OBJECTIVES: The Patient-Reported Outcome Measurement Information System (PROMIS) Preference score (PROPr) can be used to assess health state utility (HSU) and estimate quality-adjusted life-years in cost-effectiveness analyses. It is based on item response theory and promises to overcome limitations of existing HSU scores such as ceiling effects. The PROPr contains 7 PROMIS domains: cognitive abilities, depression, fatigue, pain, physical function, sleep disturbance, and ability to participate in social roles and activities. We aimed to compare the PROPr with the 5-level EQ-5D (EQ-5D-5L) in terms of psychometric properties using data from 3 countries.METHODS: We collected PROMIS-29 profile and EQ-5D-5L data from 3 general population samples (United Kingdom = 1509, France = 1501, Germany = 1502). Given that cognition is not assessed by the PROMIS-29, it was predicted by the recommended linear regression model. We compared the convergent validity, known-groups construct validity, and ceiling and floor effects of the PROPr and EQ-5D-5L.RESULTS: The mean PROPr (0.48, 0.53, 0.48; P<.01) and EQ-5D-5L scores (0.82, 0.85, 0.83; P<.01) showed significant differences of similar magnitudes (d = 0.34; d = 0.32; d = 0.35; P<.01) across all samples. The differences were invariant to sex, income, occupation, education, and most conditions but not for age. The Pearson correlation coefficients between both scores were r = 0.74, r = 0.69, and r = 0.72. PROPr's ceiling and floor effects both were minor to moderate. The EQ-5D-5L's ceiling (floor) effects were major (negligible).CONCLUSIONS: Both the EQ-5D-5L and the PROPr assessed by the PROMIS-29 show high validity. The PROPr yields considerably lower HSU values than the EQ-5D-5L. Consequences for quality-adjusted life-year measurements should be investigated in future research.",
keywords = "Fatigue, Germany, Humans, Patient Reported Outcome Measures, Psychometrics, Quality of Life/psychology",
author = "Klapproth, {Christoph Paul} and Sidey-Gibbons, {Christopher J} and Valderas, {Jos{\'e} Martinez} and Matthias Rose and Felix Fischer",
note = "Copyright {\textcopyright} 2021. Published by Elsevier Inc.",
year = "2022",
month = may,
doi = "10.1016/j.jval.2021.10.012",
language = "English",
volume = "25",
pages = "824--834",
journal = "VALUE HEALTH",
issn = "1098-3015",
publisher = "Elsevier Limited",
number = "5",

}

RIS

TY - JOUR

T1 - Comparison of the PROMIS Preference Score (PROPr) and EQ-5D-5L Index Value in General Population Samples in the United Kingdom, France, and Germany

AU - Klapproth, Christoph Paul

AU - Sidey-Gibbons, Christopher J

AU - Valderas, José Martinez

AU - Rose, Matthias

AU - Fischer, Felix

N1 - Copyright © 2021. Published by Elsevier Inc.

PY - 2022/5

Y1 - 2022/5

N2 - OBJECTIVES: The Patient-Reported Outcome Measurement Information System (PROMIS) Preference score (PROPr) can be used to assess health state utility (HSU) and estimate quality-adjusted life-years in cost-effectiveness analyses. It is based on item response theory and promises to overcome limitations of existing HSU scores such as ceiling effects. The PROPr contains 7 PROMIS domains: cognitive abilities, depression, fatigue, pain, physical function, sleep disturbance, and ability to participate in social roles and activities. We aimed to compare the PROPr with the 5-level EQ-5D (EQ-5D-5L) in terms of psychometric properties using data from 3 countries.METHODS: We collected PROMIS-29 profile and EQ-5D-5L data from 3 general population samples (United Kingdom = 1509, France = 1501, Germany = 1502). Given that cognition is not assessed by the PROMIS-29, it was predicted by the recommended linear regression model. We compared the convergent validity, known-groups construct validity, and ceiling and floor effects of the PROPr and EQ-5D-5L.RESULTS: The mean PROPr (0.48, 0.53, 0.48; P<.01) and EQ-5D-5L scores (0.82, 0.85, 0.83; P<.01) showed significant differences of similar magnitudes (d = 0.34; d = 0.32; d = 0.35; P<.01) across all samples. The differences were invariant to sex, income, occupation, education, and most conditions but not for age. The Pearson correlation coefficients between both scores were r = 0.74, r = 0.69, and r = 0.72. PROPr's ceiling and floor effects both were minor to moderate. The EQ-5D-5L's ceiling (floor) effects were major (negligible).CONCLUSIONS: Both the EQ-5D-5L and the PROPr assessed by the PROMIS-29 show high validity. The PROPr yields considerably lower HSU values than the EQ-5D-5L. Consequences for quality-adjusted life-year measurements should be investigated in future research.

AB - OBJECTIVES: The Patient-Reported Outcome Measurement Information System (PROMIS) Preference score (PROPr) can be used to assess health state utility (HSU) and estimate quality-adjusted life-years in cost-effectiveness analyses. It is based on item response theory and promises to overcome limitations of existing HSU scores such as ceiling effects. The PROPr contains 7 PROMIS domains: cognitive abilities, depression, fatigue, pain, physical function, sleep disturbance, and ability to participate in social roles and activities. We aimed to compare the PROPr with the 5-level EQ-5D (EQ-5D-5L) in terms of psychometric properties using data from 3 countries.METHODS: We collected PROMIS-29 profile and EQ-5D-5L data from 3 general population samples (United Kingdom = 1509, France = 1501, Germany = 1502). Given that cognition is not assessed by the PROMIS-29, it was predicted by the recommended linear regression model. We compared the convergent validity, known-groups construct validity, and ceiling and floor effects of the PROPr and EQ-5D-5L.RESULTS: The mean PROPr (0.48, 0.53, 0.48; P<.01) and EQ-5D-5L scores (0.82, 0.85, 0.83; P<.01) showed significant differences of similar magnitudes (d = 0.34; d = 0.32; d = 0.35; P<.01) across all samples. The differences were invariant to sex, income, occupation, education, and most conditions but not for age. The Pearson correlation coefficients between both scores were r = 0.74, r = 0.69, and r = 0.72. PROPr's ceiling and floor effects both were minor to moderate. The EQ-5D-5L's ceiling (floor) effects were major (negligible).CONCLUSIONS: Both the EQ-5D-5L and the PROPr assessed by the PROMIS-29 show high validity. The PROPr yields considerably lower HSU values than the EQ-5D-5L. Consequences for quality-adjusted life-year measurements should be investigated in future research.

KW - Fatigue

KW - Germany

KW - Humans

KW - Patient Reported Outcome Measures

KW - Psychometrics

KW - Quality of Life/psychology

U2 - 10.1016/j.jval.2021.10.012

DO - 10.1016/j.jval.2021.10.012

M3 - SCORING: Journal article

C2 - 35500951

VL - 25

SP - 824

EP - 834

JO - VALUE HEALTH

JF - VALUE HEALTH

SN - 1098-3015

IS - 5

ER -