Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer's disease scale: development and results from a mapping study

Ines Rombach; Marvi Iftikhar; Gurleen S. Jhuti; Anders Gustavsson; Pascal Lecomte; Mark Belger; Ron Handels; Amparo Y. Castro Sanchez; Jan Kors; Louise Hopper; Marcel Olde Rikkert; Geir Selbaek; Astrid Stephan; Sietske A. M. Sikkes; Bob Woods; Manuel Goncalves-Pereira; Orazio Zanetti; Inez H. G. B. Ramakers; Frans R. J. Verhey; John Gallacher; Filipa Landeiro; Alastair M. Gray; ActifCare Consortium; LeARN Consortium; ROADMAP consortium

doi:10.1007/s11136-020-02670-8

Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer's disease scale: development and results from a mapping study

Ines Rombach^*, Marvi Iftikhar, Gurleen S. Jhuti, Anders Gustavsson, Pascal Lecomte, Mark Belger, Ron Handels, Amparo Y. Castro Sanchez, Jan Kors, Louise Hopper, Marcel Olde Rikkert, Geir Selbaek, Astrid Stephan, Sietske A. M. Sikkes, Bob Woods, Manuel Goncalves-Pereira, Orazio Zanetti, Inez H. G. B. Ramakers, Frans R. J. Verhey, John GallacherFilipa Landeiro, Alastair M. Gray, ActifCare Consortium, LeARN Consortium, ROADMAP consortium

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Web of Science)

Abstract

Purpose The Quality of Life Alzheimer's Disease Scale (QoL-AD) is commonly used to assess disease specific health-related quality of life (HRQoL) as rated by patients and their carers. For cost-effectiveness analyses, utilities based on the EQ-5D are often required. We report a new mapping algorithm to obtain EQ-5D indices when only QoL-AD data are available. Methods Different statistical models to estimate utility directly, or responses to individual EQ-5D questions (response mapping) from QoL-AD, were trialled for patient-rated and proxy-rated questionnaires. Model performance was assessed by root mean square error and mean absolute error. Results The response model using multinomial regression including age and sex, performed best in both the estimation dataset and an independent dataset. Conclusions The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected.

Original language	English
Pages (from-to)	867-879
Number of pages	13
Journal	Quality of Life Research
Volume	30
Issue number	3
Early online date	17 Oct 2020
DOIs	https://doi.org/10.1007/s11136-020-02670-8
Publication status	Published - Mar 2021

Keywords

Mapping algorithm
Cross-walking
Health related quality of life
Preference based measures
Dementia
OUTCOME MEASURES
DEMENTIA
PEOPLE
PATIENT
PROXY
ADAPTATION
VALIDATION
VERSION
DEMQOL

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Cite this

Rombach, I., Iftikhar, M., Jhuti, G. S., Gustavsson, A., Lecomte, P., Belger, M., Handels, R., Castro Sanchez, A. Y., Kors, J., Hopper, L., Olde Rikkert, M., Selbaek, G., Stephan, A., Sikkes, S. A. M., Woods, B., Goncalves-Pereira, M., Zanetti, O., Ramakers, I. H. G. B., Verhey, F. R. J., ... ROADMAP consortium (2021). Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer's disease scale: development and results from a mapping study. Quality of Life Research, 30(3), 867-879. https://doi.org/10.1007/s11136-020-02670-8

@article{fcae867694f44a6c93656e321f5e7ade,

title = "Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer's disease scale: development and results from a mapping study",

abstract = "Purpose The Quality of Life Alzheimer's Disease Scale (QoL-AD) is commonly used to assess disease specific health-related quality of life (HRQoL) as rated by patients and their carers. For cost-effectiveness analyses, utilities based on the EQ-5D are often required. We report a new mapping algorithm to obtain EQ-5D indices when only QoL-AD data are available. Methods Different statistical models to estimate utility directly, or responses to individual EQ-5D questions (response mapping) from QoL-AD, were trialled for patient-rated and proxy-rated questionnaires. Model performance was assessed by root mean square error and mean absolute error. Results The response model using multinomial regression including age and sex, performed best in both the estimation dataset and an independent dataset. Conclusions The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected.",

keywords = "Mapping algorithm, Cross-walking, Health related quality of life, Preference based measures, Dementia, OUTCOME MEASURES, DEMENTIA, PEOPLE, PATIENT, PROXY, ADAPTATION, VALIDATION, VERSION, DEMQOL",

author = "Ines Rombach and Marvi Iftikhar and Jhuti, {Gurleen S.} and Anders Gustavsson and Pascal Lecomte and Mark Belger and Ron Handels and {Castro Sanchez}, {Amparo Y.} and Jan Kors and Louise Hopper and {Olde Rikkert}, Marcel and Geir Selbaek and Astrid Stephan and Sikkes, {Sietske A. M.} and Bob Woods and Manuel Goncalves-Pereira and Orazio Zanetti and Ramakers, {Inez H. G. B.} and Verhey, {Frans R. J.} and John Gallacher and Filipa Landeiro and Gray, {Alastair M.} and {ActifCare Consortium} and {LeARN Consortium} and {ROADMAP consortium}",

year = "2021",

month = mar,

doi = "10.1007/s11136-020-02670-8",

language = "English",

volume = "30",

pages = "867--879",

journal = "Quality of Life Research",

issn = "0962-9343",

publisher = "Springer, Cham",

number = "3",

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Rombach, I, Iftikhar, M, Jhuti, GS, Gustavsson, A, Lecomte, P, Belger, M, Handels, R, Castro Sanchez, AY, Kors, J, Hopper, L, Olde Rikkert, M, Selbaek, G, Stephan, A, Sikkes, SAM, Woods, B, Goncalves-Pereira, M, Zanetti, O, Ramakers, IHGB , Verhey, FRJ, Gallacher, J, Landeiro, F, Gray, AM, ActifCare Consortium, LeARN Consortium & ROADMAP consortium 2021, 'Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer's disease scale: development and results from a mapping study', Quality of Life Research, vol. 30, no. 3, pp. 867-879. https://doi.org/10.1007/s11136-020-02670-8

TY - JOUR

T1 - Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer's disease scale

T2 - development and results from a mapping study

AU - Rombach, Ines

AU - Iftikhar, Marvi

AU - Jhuti, Gurleen S.

AU - Gustavsson, Anders

AU - Lecomte, Pascal

AU - Belger, Mark

AU - Handels, Ron

AU - Castro Sanchez, Amparo Y.

AU - Kors, Jan

AU - Hopper, Louise

AU - Olde Rikkert, Marcel

AU - Selbaek, Geir

AU - Stephan, Astrid

AU - Sikkes, Sietske A. M.

AU - Woods, Bob

AU - Goncalves-Pereira, Manuel

AU - Zanetti, Orazio

AU - Ramakers, Inez H. G. B.

AU - Verhey, Frans R. J.

AU - Gallacher, John

AU - Landeiro, Filipa

AU - Gray, Alastair M.

AU - ActifCare Consortium

AU - LeARN Consortium

AU - ROADMAP consortium

PY - 2021/3

Y1 - 2021/3

N2 - Purpose The Quality of Life Alzheimer's Disease Scale (QoL-AD) is commonly used to assess disease specific health-related quality of life (HRQoL) as rated by patients and their carers. For cost-effectiveness analyses, utilities based on the EQ-5D are often required. We report a new mapping algorithm to obtain EQ-5D indices when only QoL-AD data are available. Methods Different statistical models to estimate utility directly, or responses to individual EQ-5D questions (response mapping) from QoL-AD, were trialled for patient-rated and proxy-rated questionnaires. Model performance was assessed by root mean square error and mean absolute error. Results The response model using multinomial regression including age and sex, performed best in both the estimation dataset and an independent dataset. Conclusions The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected.

AB - Purpose The Quality of Life Alzheimer's Disease Scale (QoL-AD) is commonly used to assess disease specific health-related quality of life (HRQoL) as rated by patients and their carers. For cost-effectiveness analyses, utilities based on the EQ-5D are often required. We report a new mapping algorithm to obtain EQ-5D indices when only QoL-AD data are available. Methods Different statistical models to estimate utility directly, or responses to individual EQ-5D questions (response mapping) from QoL-AD, were trialled for patient-rated and proxy-rated questionnaires. Model performance was assessed by root mean square error and mean absolute error. Results The response model using multinomial regression including age and sex, performed best in both the estimation dataset and an independent dataset. Conclusions The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected.

KW - Mapping algorithm

KW - Cross-walking

KW - Health related quality of life

KW - Preference based measures

KW - Dementia

KW - OUTCOME MEASURES

KW - DEMENTIA

KW - PEOPLE

KW - PATIENT

KW - PROXY

KW - ADAPTATION

KW - VALIDATION

KW - VERSION

KW - DEMQOL

U2 - 10.1007/s11136-020-02670-8

DO - 10.1007/s11136-020-02670-8

M3 - Article

C2 - 33068236

SN - 0962-9343

VL - 30

SP - 867

EP - 879

JO - Quality of Life Research

JF - Quality of Life Research

IS - 3

ER -