“Fibromyalgia and quality of life: mapping the revised fibromyalgia impact questionnaire to the preference-based instruments”

Gibbons

et al. 2020

Preprint

Background: EQ-5D health utility (HU) scores are commonly used in health economics to compute quality-adjusted life years (QALYs). EQ-5D scores, which are 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 for predicting EQ-5D scores 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=1,509), France (n=1,501), and Germany (n=1,502). We used stepwise regression with backward selection to find the best models to predict the EQ-5D score from all seven PROMIS-29 domains. We investigated the agreement between the observed and predicted EQ-5D scores in all three countries using various indices for the prediction performance, including Bland-Altman plots to examine the performance along the HU continuum.Results:The EQ-5D index scores were best predicted in Germany (RMSEGER = 0.10, MAEGER = 0.06), followed by France (RMSEFR = 0.11, MAEFR = 0.08) and the UK (RMSEUK = 0.12, MAEUK = 0.09). The Bland-Altman plots show that the inclusion of higher-order effects reduced the underprediction of low HU scores.Conclusions: Our models provide a valid method to predict EQ-5D-5L index scores from the PROMIS-29 for the UK, France, and Germany.

Section: Optimal Models For Predicting Health Utility In the Three Cosupporting

confidence: 89%

Predicting EQ-5D Index Scores from the PROMIS-29 Profile for the United Kingdom, France, and Germany

Gibbons

et al. 2020

Preprint

“…We believe our models are highly applicable achieving a good degree of precision, also in lower spectrums of health, while at the same time avoiding high complexity with a manageable number of predictors. Our results in terms of the nRMSE and nMAE perform very well compared to what is usually reported for mapping algorithms (17,(44)(45)(46)(47)(48).…”

Section: Summary Of Main Ndingssupporting

confidence: 80%

Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany

Sidey-Gibbons

et al. 2020

Preprint

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=1,509), France (n=1,501), and Germany (n=1,502). 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.

Section: Summary Of Main Ndingssupporting

confidence: 80%

Predicting EQ-5D-3L index value from the PROMIS-29 profile for the United Kingdom, France, and Germany

Sidey-Gibbons

et al. 2020

Preprint

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 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=1,509), France (n=1,501), and Germany (n=1,502). We used stepwise regression with backward selection to find the best models to predict the EQ-5D from all seven PROMIS-29 domains. We investigated the agreement between the observed and predicted EQ-5D 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 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 from the PROMIS-29 for the UK, France, and Germany.