Public versus patient health preferences: Protocol for a study to elicit EQ-5D-5L health state valuations for patients who have survived a stay in intensive care

Christine Marie Bækø Halling*, Claire Gudex, Anders Perner, Cathrine Elgaard Jensen, Dorte Gyrd-Hansen


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Introduction The value set used when calculating quality-adjusted life-years (QALYs) is most often based on stated preference data elicited from a representative sample of the general population. However, having a severe disease may alter a person's health preferences, which may imply that, for some patient groups, experienced QALYs may differ from those that are estimated via standard methods. This study aims to model 5-level EuroQol 5-dimensional questionnaire (EQ-5D-5L) valuations based on preferences elicited from a sample of patients who have survived a stay in a Danish intensive care unit (ICU) and to compare these with the preferences of the general population. Further, the heterogeneity in the ICU patients' preferences will be investigated. Methods and analysis This valuation study will elicit EQ-5D-5L health state preferences from a sample of 300 respondents enrolled in two randomised controlled trials at Danish ICUs. Patients' preferences will be elicited using composite time trade-off based on the EuroQol Valuation Technology, the same as that used to generate the EQ-5D-5L value set for the Danish general population. The patient-based and the public-based EQ-5D-5L valuations will be compared. Potential underlying determinants of the ICU preferences will be investigated through analyses of demographic characteristics, time since the ICU stay, self-reported health, willingness to trade-off length of life for quality of life, health state reference dependency and EQ-5D dimensions that patients have experienced themselves during their illness. Ethics and dissemination Under Danish regulations, ethical approval is not required for studies of this type. Written informed consent will be obtained from all patients. The study results will be published in peer-reviewed scientific journals and presented at national and international conferences. The modelling algorithms will be publicly available for statistical software, such as Stata and R.

TidsskriftBMJ Open
Udgave nummer5
StatusUdgivet - 25. maj 2022

Bibliografisk note

Funding Information:
Acknowledgements Innovation Fund Denmark and Helsefonden funded the research described in this paper. Danish Centre for Healthcare Improvements from Aalborg University provided access to data from the Danish EQ-5D-5L valuation study as well as invaluable input into interviewer training materials, translations of the interview materials, contribution of background questions and advice. Further, the paper has benefitted greatly from discussions with the EuroQol Group and the trial groups of HOT-ICU and CLASSIC. The EuroQol group provided the EQ-PVT.

Publisher Copyright:
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