Using the Online Elicitation of Personal Utility Functions Approach to Derive a Patient-Based 5-Level Version of EQ-5D Value Set: A Study in 122 Patients With Rheumatic Diseases From Germany

被引:1
|
作者
Schneider, Paul [1 ,2 ,3 ]
Blankart, Katharina [2 ]
Brazier, John [1 ]
van Hout, Ben [1 ,4 ]
Devlin, Nancy [5 ]
机构
[1] Univ Sheffield, ScHARR, Sheffield, England
[2] Univ Duisburg Essen, CINCH, Essen, Germany
[3] Valorem Hlth, Bochum, Germany
[4] Open Hlth, York, England
[5] Univ Melbourne, Melbourne, Vic, Australia
基金
英国惠康基金;
关键词
EQ-5D-5L; MCDA; preference elicitation; rheumatic disease; utility values; value set; DECISION-MAKING; HEALTH-CARE; LIFE-CYCLE; PREFERENCES; VALUATION; CALL;
D O I
10.1016/j.jval.2023.12.009
中图分类号
F [经济];
学科分类号
02 ;
摘要
Objectives: Traditional preference elicitation methods, such as discrete choice experiments or time trade-off, usually require large sample sizes. This can limit their applicability in patient populations, where recruiting enough participants can be The objective of this study was to test a new method, called the Online elicitation of Personal Utility Functions (OPUF) approach, to derive an EQ-5D-5L value set from a relatively small sample of patients with rheumatic diseases. Methods: OPUF is a new type of online survey that implements compositional preference elicitation techniques. Central to the method are 3 valuation steps: (1) dimension weighting, (2) level rating, and (3) anchoring. An English demo version of the OPUF survey can be accessed at https://valorem.health/eq5d5l. From the responses, a personal EQ-5D-5L utility function can be constructed for each participant, and a group-level value set can be derived by aggregating model coefficients across Results: A total of 122 patients with rheumatic disease from Germany completed the OPUF survey. The survey was generally well received; most participants completed the survey in less than 20 minutes and were able to derive a full EQ-5D-5L value set. The precision of mean coefficients was high, despite the small sample size. Conclusions: Our findings demonstrate that OPUF can be used to derive an EQ-5D-5L value set from a relatively small sample of patients. Although the method is still under development, we think that it has the potential to be a valuable preference elicitation tool and to complement traditional methods in several areas.
引用
收藏
页码:376 / 382
页数:7
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