Using a discrete choice experiment involving cost to value a classification system measuring the quality of life impact of self-management for diabetes

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Using a discrete choice experiment involving cost to value a classification system measuring the quality of life impact of self-management for diabetes. / Rowen, Donna; Stevens, Katherine; Labeit, Alexander; Elliott, Jackie; Mulhern, Brendan; Carlton, Jill; Basarir, Hasan; Ratcliffe, Julie; Brazier, John.

In: Value in Health, 06.09.2017.

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Rowen, Donna ; Stevens, Katherine ; Labeit, Alexander ; Elliott, Jackie ; Mulhern, Brendan ; Carlton, Jill ; Basarir, Hasan ; Ratcliffe, Julie ; Brazier, John. / Using a discrete choice experiment involving cost to value a classification system measuring the quality of life impact of self-management for diabetes. In: Value in Health. 2017.

Bibtex

@article{76ddd156e7c84ccc9673c44950868d97,
title = "Using a discrete choice experiment involving cost to value a classification system measuring the quality of life impact of self-management for diabetes",
abstract = "Objective: This paper describes the use of a novel approach in health valuation of a discrete choice experiment (DCE) including a cost attribute to value a recently developed classification system for measuring the quality of life impact (both health and treatment experience) of self-management for diabetes.Methods: A large online survey was conducted using DCE with cost on UK respondents from the general population (n=1,497) and individuals with diabetes (n=405). The data was modelled using a conditional logit model with robust standard errors. The marginal rate of substitution (MRS) was used to generate willingness to pay estimates for every state defined by the classification system. Robustness of results was assessed by including interaction effects for household income.Results: There were some logical inconsistencies and insignificant coefficients for the milder levels of some attributes. There were some differences in the rank ordering of different attributes for the general population and diabetes patients. The willingness to pay to avoid the most severe state was £1,118.53 per month for the general population and £2,356.02 per month for the diabetes patient population. The results were largely robust.Conclusion: Health and self-management can be valued in a single classification system using DCE with cost. The MRS for key attributes can be used to inform cost-benefit analysis of self-management interventions in diabetes using results from clinical studies where this new classification system has been applied. The method shows promise, but found large willingness to pay estimates exceeding the cost levels used in the survey.",
keywords = "Preference-Based Measures, Diabetes, Discrete choice experiment, Cost",
author = "Donna Rowen and Katherine Stevens and Alexander Labeit and Jackie Elliott and Brendan Mulhern and Jill Carlton and Hasan Basarir and Julie Ratcliffe and John Brazier",
year = "2017",
month = sep
day = "6",
doi = "10.1016/j.jval.2017.06.016",
language = "English",
journal = "Value in Health",
issn = "1098-3015",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Using a discrete choice experiment involving cost to value a classification system measuring the quality of life impact of self-management for diabetes

AU - Rowen, Donna

AU - Stevens, Katherine

AU - Labeit, Alexander

AU - Elliott, Jackie

AU - Mulhern, Brendan

AU - Carlton, Jill

AU - Basarir, Hasan

AU - Ratcliffe, Julie

AU - Brazier, John

PY - 2017/9/6

Y1 - 2017/9/6

N2 - Objective: This paper describes the use of a novel approach in health valuation of a discrete choice experiment (DCE) including a cost attribute to value a recently developed classification system for measuring the quality of life impact (both health and treatment experience) of self-management for diabetes.Methods: A large online survey was conducted using DCE with cost on UK respondents from the general population (n=1,497) and individuals with diabetes (n=405). The data was modelled using a conditional logit model with robust standard errors. The marginal rate of substitution (MRS) was used to generate willingness to pay estimates for every state defined by the classification system. Robustness of results was assessed by including interaction effects for household income.Results: There were some logical inconsistencies and insignificant coefficients for the milder levels of some attributes. There were some differences in the rank ordering of different attributes for the general population and diabetes patients. The willingness to pay to avoid the most severe state was £1,118.53 per month for the general population and £2,356.02 per month for the diabetes patient population. The results were largely robust.Conclusion: Health and self-management can be valued in a single classification system using DCE with cost. The MRS for key attributes can be used to inform cost-benefit analysis of self-management interventions in diabetes using results from clinical studies where this new classification system has been applied. The method shows promise, but found large willingness to pay estimates exceeding the cost levels used in the survey.

AB - Objective: This paper describes the use of a novel approach in health valuation of a discrete choice experiment (DCE) including a cost attribute to value a recently developed classification system for measuring the quality of life impact (both health and treatment experience) of self-management for diabetes.Methods: A large online survey was conducted using DCE with cost on UK respondents from the general population (n=1,497) and individuals with diabetes (n=405). The data was modelled using a conditional logit model with robust standard errors. The marginal rate of substitution (MRS) was used to generate willingness to pay estimates for every state defined by the classification system. Robustness of results was assessed by including interaction effects for household income.Results: There were some logical inconsistencies and insignificant coefficients for the milder levels of some attributes. There were some differences in the rank ordering of different attributes for the general population and diabetes patients. The willingness to pay to avoid the most severe state was £1,118.53 per month for the general population and £2,356.02 per month for the diabetes patient population. The results were largely robust.Conclusion: Health and self-management can be valued in a single classification system using DCE with cost. The MRS for key attributes can be used to inform cost-benefit analysis of self-management interventions in diabetes using results from clinical studies where this new classification system has been applied. The method shows promise, but found large willingness to pay estimates exceeding the cost levels used in the survey.

KW - Preference-Based Measures

KW - Diabetes

KW - Discrete choice experiment

KW - Cost

U2 - 10.1016/j.jval.2017.06.016

DO - 10.1016/j.jval.2017.06.016

M3 - Article

JO - Value in Health

JF - Value in Health

SN - 1098-3015

ER -