Estimating an anchored utility tariff for the well-being of older people measure (WOOP) for the Netherlands

Abstract

Objective. Health economic evaluations using common health-related quality of life measures may fall short in adequately incorporating all relevant benefits of health and social care interventions targeted at older people. The Well-being of Older People measure (WOOP) is a broader well-being measure that comprises nine well-being domains. The objective of this study was to estimate a utility tariff for the WOOP, to facilitate its application in cost-utility analyses. Methods. A discrete choice experiment (DCE) with duration approach was set up and fielded among 2,012 in- dividuals from the Netherlands aged 65 years and above. Matched pairwise choice tasks, colour-coding and level overlap were used to reduce the cognitive burden of the DCE. The choice tasks were created using a Bayesian heterogeneous D-efficient design. The estimation procedure accommodated for nonlinear time preferences via an exponential discounting function. Results. The estimation results showed that ‘physical health’, ‘mental health’, and ‘making ends meet’ were the most important well-being domains for older people, followed by ‘independence’ and ‘living situation’. Of somewhat lesser importance were domains like ‘social life’, ‘receiving support’ and ‘feeling useful’. The gener- ated utility tariffs can be used to translate well-being states described with the WOOP to a utility score between −0.616 and 1. Conclusions. This study established a tariff for the WOOP, which will facilitate its use in economic evaluations of health and social care interventions targeted at older people, first of all in the Netherlands.

Publication
In The European Journal of Health Economics

Data and code are available through the open science framework: https://osf.io/ysajr/

Sebastian Himmler
Sebastian Himmler
Health Economics PhD candidate

My research interests include health and well-being, applied health economics and econometrics and health preference research.