The DEP-6D, a new preference-based measure to assess health states of dependency
Loading...
Identifiers
Publication date
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
In medical literature there are numerous multidimensional scales to measure health states for dependence in activities of daily living. However, these scales are not preference-based and are not able to yield QALYs. On the contrary, the generic preference-based measures are not sensitive enough to measure changes in dependence states. The objective of this paper is to propose a new dependency health state classification system, called DEP-6D, and to estimate its value set in such a way that it can be used in QALY calculations. DEP-6D states are described as a combination of 6 attributes (eat, incontinence, personal care, mobility, housework and cognition problems), with 3–4 levels each. A sample of 312 Spanish citizens was surveyed in 2011 to estimate the DEP-6D preference-scoring algorithm. Each respondent valued six out of the 24 states using time trade-off questions. After excluding those respondents who made two or more inconsistencies (6% out of the sample), each state was valued between 66 and 77 times. The responses present a high internal and external consistency. A random effect model accounting for main effects was the preferred model to estimate the scoring algorithm. The DEP-6D describes, in general, more severe problems than those usually described by means of generic preference-based measures. The minimum score predicted by the DEP-6D algorithm is −0.84, which is considerably lower than the minimum value predicted by the EQ-5D and SF-6D algorithms. The DEP-6D value set is based on community preferences. Therefore it is consistent with the so-called ‘societal perspective’. Moreover, DEP-6D preference weights can be used in QALY calculations and cost-utility analysis.
Description
Bibliographic citation
Social Science & Medicine Volume 153, March 2016, Pages 210-219
Relation
Has part
Has version
Is based on
Is part of
Is referenced by
Is version of
Requires
Publisher version
https://doi.org/10.1016/j.socscimed.2016.02.020Sponsors
Financial support from Spanish Ministry of Science and Innovation (ECO2015-69334-R), Regional government of Galicia (10SEC300038PR and ECOBAS [AGRUP2015/08]), and Caixa Galicia Foundation is gratefully acknowledged. The funding agreement ensured the authors' independence in designing the study, interpreting the data, writing, and publishing the report. We are also very grateful to researchers Lina Sofia de Matos Lourenço-Gomes (University of Trás-os-Montes and Alto Douro) and María Loureiro García (University of Santiago de Compostela) for their help on the experimental design.
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International








