Valuing the SF-6Dv2 classification system in the United Kingdom using a discrete-choice experiment with duration

Brendan Mulhern; Nick Bansback; Richard Norman; John Brazier; SF-6Dv2 International Project Group; Julie Ratcliffe

doi:10.1097/MLR.0000000000001324

Valuing the SF-6Dv2 classification system in the United Kingdom using a discrete-choice experiment with duration

Brendan Mulhern, Nick Bansback, Richard Norman, John Brazier, SF-6Dv2 International Project Group, Julie Ratcliffe

College of Nursing and Health Sciences

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Abstract

Objective:An updated version of the SF-6D Classification System (SF-6Dv2) has been developed, and utility value sets are required. The aim of this study was to test the development of a United Kingdom SF-6Dv2 value set, and address limitations of the existing SF-6D value set (which results in a narrow range of utilities). This was done using 2 discrete-choice experiment (DCE) tasks. Interactions and preference heterogeneity were also investigated.Research Design and Subjects:An online sample of respondents (n=3014) completed 10 DCE with duration choice sets from an efficient design of 300 (Design 1) and 2 DCE with duration choice sets including immediate death from a set of 60 (Design 2). Conditional logit regression was used to estimate value set models with and without interactions. We investigated preference heterogeneity using latent class models.Results:Models including ordered coefficients within each dimension were developed, with the favored model including an additional interaction term when one dimension was at the most severe level. Value sets differed across Designs 1 and 2. Design 1 models had a wider utility range and a higher proportion of negative values. The most important dimensions were pain, mental health, and physical functioning. Preference heterogeneity was apparent, with a 2-class model describing the data.Conclusions:We developed and applied a protocol to value the SF-6Dv2 using DCE. The results provide a provisional value set for use in resource allocation. The protocol can be applied internationally. Further work should investigate how to account for preference heterogeneity in value set production.

Original language	English
Pages (from-to)	566-573
Number of pages	8
Journal	MEDICAL CARE
Volume	58
Issue number	6
DOIs	https://doi.org/10.1097/MLR.0000000000001324
Publication status	Published - 1 Jun 2020

Bibliographical note

This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0(CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in anyway or used commercially without permission from the journal.

Keywords

discrete-choice experiments
quality-adjusted life year
SF-6D
utilities
valuation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1097/MLR.0000000000001324Licence: CC BY-NC-ND

Mulhern_Valuing_P2020Final published version, 236 KBLicence: CC BY-NC-ND

Cite this

@article{b4903fbc30054aa985e7866fa1c47081,

title = "Valuing the SF-6Dv2 classification system in the United Kingdom using a discrete-choice experiment with duration",

abstract = "Objective:An updated version of the SF-6D Classification System (SF-6Dv2) has been developed, and utility value sets are required. The aim of this study was to test the development of a United Kingdom SF-6Dv2 value set, and address limitations of the existing SF-6D value set (which results in a narrow range of utilities). This was done using 2 discrete-choice experiment (DCE) tasks. Interactions and preference heterogeneity were also investigated.Research Design and Subjects:An online sample of respondents (n=3014) completed 10 DCE with duration choice sets from an efficient design of 300 (Design 1) and 2 DCE with duration choice sets including immediate death from a set of 60 (Design 2). Conditional logit regression was used to estimate value set models with and without interactions. We investigated preference heterogeneity using latent class models.Results:Models including ordered coefficients within each dimension were developed, with the favored model including an additional interaction term when one dimension was at the most severe level. Value sets differed across Designs 1 and 2. Design 1 models had a wider utility range and a higher proportion of negative values. The most important dimensions were pain, mental health, and physical functioning. Preference heterogeneity was apparent, with a 2-class model describing the data.Conclusions:We developed and applied a protocol to value the SF-6Dv2 using DCE. The results provide a provisional value set for use in resource allocation. The protocol can be applied internationally. Further work should investigate how to account for preference heterogeneity in value set production.",

keywords = "discrete-choice experiments, quality-adjusted life year, SF-6D, utilities, valuation",

author = "Brendan Mulhern and Nick Bansback and Richard Norman and John Brazier and {SF-6Dv2 International Project Group} and Jordi Alonso and Beate Bestmann and Jakob Bjorner and Luciane Cruz and Rajabali Daroudi and Lara Ferreira and Pedro Ferreira and Shunichi Fukuhura and Barb Gandek and Lewis Kazis and Thomas Kohlmann and Kvamme, {Maria Knoph} and Cindy Lam and Clara Mukuria and Brendan Mulhern and Olsen, {Jan Abel} and Julie Ratcliffe and Antonio Rosello and Donna Rowen and Akbari Sari and Rick Sawatsky and Elly Stolk and Dong Suh and Gemma Vilagut and John Ware and David Whitehurst and Carlos Wong and Jing Wu and Yosuke Yamamoto",

note = "This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0(CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in anyway or used commercially without permission from the journal.",

year = "2020",

month = jun,

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doi = "10.1097/MLR.0000000000001324",

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T1 - Valuing the SF-6Dv2 classification system in the United Kingdom using a discrete-choice experiment with duration

AU - Mulhern, Brendan

AU - Bansback, Nick

AU - Norman, Richard

AU - Brazier, John

AU - SF-6Dv2 International Project Group

AU - Alonso, Jordi

AU - Bestmann, Beate

AU - Bjorner, Jakob

AU - Cruz, Luciane

AU - Daroudi, Rajabali

AU - Ferreira, Lara

AU - Ferreira, Pedro

AU - Fukuhura, Shunichi

AU - Gandek, Barb

AU - Kazis, Lewis

AU - Kohlmann, Thomas

AU - Kvamme, Maria Knoph

AU - Lam, Cindy

AU - Mukuria, Clara

AU - Mulhern, Brendan

AU - Olsen, Jan Abel

AU - Ratcliffe, Julie

AU - Rosello, Antonio

AU - Rowen, Donna

AU - Sari, Akbari

AU - Sawatsky, Rick

AU - Stolk, Elly

AU - Suh, Dong

AU - Vilagut, Gemma

AU - Ware, John

AU - Whitehurst, David

AU - Wong, Carlos

AU - Wu, Jing

AU - Yamamoto, Yosuke

N1 - This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0(CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in anyway or used commercially without permission from the journal.

PY - 2020/6/1

Y1 - 2020/6/1

N2 - Objective:An updated version of the SF-6D Classification System (SF-6Dv2) has been developed, and utility value sets are required. The aim of this study was to test the development of a United Kingdom SF-6Dv2 value set, and address limitations of the existing SF-6D value set (which results in a narrow range of utilities). This was done using 2 discrete-choice experiment (DCE) tasks. Interactions and preference heterogeneity were also investigated.Research Design and Subjects:An online sample of respondents (n=3014) completed 10 DCE with duration choice sets from an efficient design of 300 (Design 1) and 2 DCE with duration choice sets including immediate death from a set of 60 (Design 2). Conditional logit regression was used to estimate value set models with and without interactions. We investigated preference heterogeneity using latent class models.Results:Models including ordered coefficients within each dimension were developed, with the favored model including an additional interaction term when one dimension was at the most severe level. Value sets differed across Designs 1 and 2. Design 1 models had a wider utility range and a higher proportion of negative values. The most important dimensions were pain, mental health, and physical functioning. Preference heterogeneity was apparent, with a 2-class model describing the data.Conclusions:We developed and applied a protocol to value the SF-6Dv2 using DCE. The results provide a provisional value set for use in resource allocation. The protocol can be applied internationally. Further work should investigate how to account for preference heterogeneity in value set production.

AB - Objective:An updated version of the SF-6D Classification System (SF-6Dv2) has been developed, and utility value sets are required. The aim of this study was to test the development of a United Kingdom SF-6Dv2 value set, and address limitations of the existing SF-6D value set (which results in a narrow range of utilities). This was done using 2 discrete-choice experiment (DCE) tasks. Interactions and preference heterogeneity were also investigated.Research Design and Subjects:An online sample of respondents (n=3014) completed 10 DCE with duration choice sets from an efficient design of 300 (Design 1) and 2 DCE with duration choice sets including immediate death from a set of 60 (Design 2). Conditional logit regression was used to estimate value set models with and without interactions. We investigated preference heterogeneity using latent class models.Results:Models including ordered coefficients within each dimension were developed, with the favored model including an additional interaction term when one dimension was at the most severe level. Value sets differed across Designs 1 and 2. Design 1 models had a wider utility range and a higher proportion of negative values. The most important dimensions were pain, mental health, and physical functioning. Preference heterogeneity was apparent, with a 2-class model describing the data.Conclusions:We developed and applied a protocol to value the SF-6Dv2 using DCE. The results provide a provisional value set for use in resource allocation. The protocol can be applied internationally. Further work should investigate how to account for preference heterogeneity in value set production.

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KW - quality-adjusted life year

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KW - utilities

KW - valuation

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ER -

Valuing the SF-6Dv2 classification system in the United Kingdom using a discrete-choice experiment with duration

Abstract

Bibliographical note

Keywords

UN SDGs

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