Department of Real-World Evidence, NHTA, Copenhagen, Denmark
Danish Centre for Health Economics (DaCHE), Department of Public Health, University of Southern Denmark, Odense, Denmark.
BMJ Open. 2022 May 25;12(5):e058500. doi: 10.1136/bmjopen-2021-058500.
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.
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.
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.
计算质量调整生命年（QALYs）时使用的价值集最常用于从一般人群的代表性样本中得出的陈述偏好数据。然而，患有严重疾病可能会改变一个人的健康偏好，这可能意味着对于某些患者群体，经验 QALYs 可能与通过标准方法估计的 QALYs 不同。本研究旨在基于从丹麦重症监护病房（ICU）住院的患者样本中得出的偏好来构建 5 级欧洲五维健康量表（EQ-5D-5L）量表评分，并将其与一般人群的偏好进行比较。此外，还将研究 ICU 患者偏好的异质性。
这项评估研究将从丹麦 ICU 中参加两项随机对照试验的 300 名受访者中收集 EQ-5D-5L 健康状况偏好。患者的偏好将使用基于 EuroQol 估值技术的复合时间交易来衡量，这与用于为丹麦一般人群生成 EQ-5D-5L 值集的方法相同。将比较基于患者的和基于公众的 EQ-5D-5L 评估。通过分析人口统计学特征、从 ICU 住院以来的时间、自我报告的健康状况、愿意用生命长度换取生活质量、健康状态参考依赖性以及患者在患病期间经历过的 EQ-5D 维度，研究 ICU 偏好的潜在潜在决定因素。
根据丹麦法规，不需要对这种类型的研究进行伦理批准。将从所有患者处获得书面知情同意。研究结果将发表在同行评议的科学期刊上，并在国家和国际会议上展示。建模算法将公开提供给统计软件，如 Stata 和 R。
