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Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study.

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Title: Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study.
Authors: Castro, Rodolfo (AUTHOR), De Boni, Raquel B. (AUTHOR), Perazzo, Hugo (AUTHOR), Grinsztejn, Beatriz (AUTHOR), Veloso, Valdiléa G. (AUTHOR), Ribeiro-Alves, Marcelo (AUTHOR)
Source: Quality of Life Research. Sep2020, Vol. 29 Issue 9, p2497-2508. 12p. 2 Charts, 3 Graphs.
Subjects: World Health Organization, Standard deviations, Fisher exact test, Forecasting, World maps, Algorithms
Geographic Terms: Brazil
Abstract: Purpose: This study aimed to develop and evaluate different families of applicable models available for utility mapping between World Health Organization Quality of Life for HIV-abbreviated version (WHOQOL-HIV Bref) and EQ-5D-3L and to propose an optimised algorithm to estimate health utilities of people living with HIV.Methods: Estimation dataset was collected between July 2014 and September 2016 in a cross-sectional study including 1526 people living with HIV/Aids (PLWH) under care at the Instituto Nacional de Infectologia Evandro Chagas-FIOCRUZ, in Brazil. Data of WHOQOL-HIV Bref and EQ-5D-3L questionnaires were collected. Fisher's exact tests were used for testing WHOQOL-HIV Bref response frequencies among groups of responses to each of the five EQ-5D-3L domains. Multiple correspondence analyses (MCA) were used to inspect the relationships between both instrument responses. Different families of applicable models available for utility mapping between WHOQOL-HIV Bref and EQ-5D-3L were adjusted for the prediction of disutility.Results: Candidate models' performances using mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE) were similarly good, which was evidenced by the overlapping of its 95% confidence intervals of the mean tenfold cross-validation or estimated generalisation errors. However, the Hurdle Logistic-Log-Normal model was better on average according to generalisation errors both in the prediction of Brazilian utility values (MAE = 0.1037, MSE = 0.0178, and RMSE = 0.1332) and for those of the UK (MAE = 0.1476, MSE = 0.0443, and RMSE = 0.2099).Conclusions: Mapping EQ-5D-3L responses or deriving health utilities directly from WHOQOL-HIV Bref responses can be a valid alternative for settings with no preference-based health utility data. [ABSTRACT FROM AUTHOR]
Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study.
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  Data: <searchLink fieldCode="AR" term="%22Castro%2C+Rodolfo%22">Castro, Rodolfo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22De+Boni%2C+Raquel+B%2E%22">De Boni, Raquel B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Perazzo%2C+Hugo%22">Perazzo, Hugo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grinsztejn%2C+Beatriz%22">Grinsztejn, Beatriz</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Veloso%2C+Valdiléa+G%2E%22">Veloso, Valdiléa G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ribeiro-Alves%2C+Marcelo%22">Ribeiro-Alves, Marcelo</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Quality+of+Life+Research%22">Quality of Life Research</searchLink>. Sep2020, Vol. 29 Issue 9, p2497-2508. 12p. 2 Charts, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22World+Health+Organization%22">World Health Organization</searchLink><br /><searchLink fieldCode="DE" term="%22Standard+deviations%22">Standard deviations</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Forecasting%22">Forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22World+maps%22">World maps</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Brazil%22">Brazil</searchLink>
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  Label: Abstract
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  Data: <bold>Purpose: </bold>This study aimed to develop and evaluate different families of applicable models available for utility mapping between World Health Organization Quality of Life for HIV-abbreviated version (WHOQOL-HIV Bref) and EQ-5D-3L and to propose an optimised algorithm to estimate health utilities of people living with HIV.<bold>Methods: </bold>Estimation dataset was collected between July 2014 and September 2016 in a cross-sectional study including 1526 people living with HIV/Aids (PLWH) under care at the Instituto Nacional de Infectologia Evandro Chagas-FIOCRUZ, in Brazil. Data of WHOQOL-HIV Bref and EQ-5D-3L questionnaires were collected. Fisher's exact tests were used for testing WHOQOL-HIV Bref response frequencies among groups of responses to each of the five EQ-5D-3L domains. Multiple correspondence analyses (MCA) were used to inspect the relationships between both instrument responses. Different families of applicable models available for utility mapping between WHOQOL-HIV Bref and EQ-5D-3L were adjusted for the prediction of disutility.<bold>Results: </bold>Candidate models' performances using mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE) were similarly good, which was evidenced by the overlapping of its 95% confidence intervals of the mean tenfold cross-validation or estimated generalisation errors. However, the Hurdle Logistic-Log-Normal model was better on average according to generalisation errors both in the prediction of Brazilian utility values (MAE = 0.1037, MSE = 0.0178, and RMSE = 0.1332) and for those of the UK (MAE = 0.1476, MSE = 0.0443, and RMSE = 0.2099).<bold>Conclusions: </bold>Mapping EQ-5D-3L responses or deriving health utilities directly from WHOQOL-HIV Bref responses can be a valid alternative for settings with no preference-based health utility data. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11136-020-02534-1
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              M: 09
              Text: Sep2020
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