scholarly journals Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis)

2021 ◽  
Author(s):  
Marcel F. Jonker ◽  
Richard Norman
Keyword(s):  
Statistical Analysis ◽  
Utility Function ◽  
Choice Experiments ◽  
Health State ◽  
Elicitation Format ◽  
Health State Valuations

Time preference, duration and health state valuations

1995 ◽  
Vol 4 (4) ◽  
pp. 289-299 ◽  
Author(s):  
Paul Dolan ◽  
Claire Gudex
Keyword(s):  
Time Preference ◽  
Health State ◽  
Health State Valuations

Treatment of venous thromboembolism with vitamin K antagonists: patients’ health state valuations and treatment preferences

2004 ◽  
Vol 92 (12) ◽  
pp. 1336-1341 ◽  
Author(s):  
Patrick Bossuyt ◽  
Peep Stalmeier ◽  
Mirjam Sprangers ◽  
Carlo van Dongen ◽  
Saskia Middeldorp ◽  
...  
Keyword(s):  
Venous Thromboembolism ◽  
Vitamin K ◽  
Vitamin K Antagonists ◽  
Patient Characteristics ◽  
Haemorrhagic Stroke ◽  
Treatment Preferences ◽  
Health State ◽  
Health States ◽  
Health State Valuations ◽  
Cessation Of Treatment

SummaryDetermining the optimal duration of vitamin K antagonist (VKA) therapy for patients with venous thromboembolism (VTE) requires a weighting of the benefits and risks of treatment. The objectives of our study were to investigate patient variability in health state valuations associated with VKA therapy and treatment preferences, and to investigate the extent to which valuations and treatment preferences are associated with prior experience with these health states and other patient characteristics. Valuations of outcomes after VTE scaled from 0 (tantamount to death) to 1 (tantamount to perfect health) were elicited from 53 patients who had experienced VTE, 23 patients who had experienced major bleeding during treatment, and 48 patients with the post-thrombotic syndrome. In addition, patients’ treatment preferences were evaluated using treatment trade-off questions. Median health state valuations ranged from 0.33 for ‘non-fatal haemorrhagic stroke’ to 0.96 for ‘no VKA treatment’. Variability between patients was substantial. Patients’ treatment preferences also varied: 25% of patients chose cessation of treatment, regardless of the probability of recurrent VTE presented, whereas 23% of patients were never willing to choose cessation of treatment. Differences in valuations and treatment preferences were not associated with type of event experienced. Due to the substantial and unpredictable variability in valuations and treatment preferences, recommendations regarding treatment duration should be tailored to patients’ specific values and concerns.

scholarly journals Statistical Analysis of Choice Experiments and Surveys

2005 ◽  
Vol 16 (3-4) ◽  
pp. 183-196 ◽  
Author(s):  
Daniel L. McFadden ◽  
Albert C. Bemmaor ◽  
Francis G. Caro ◽  
Jeff Dominitz ◽  
Byung-Hill Jun ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Choice Experiments

scholarly journals Advocating a Paradigm Shift in Health-State Valuations: The Estimation of Time-Preference Corrected QALY Tariffs

2018 ◽  
Vol 21 (8) ◽  
pp. 993-1001 ◽  
Author(s):  
Marcel F. Jonker ◽  
Bas Donkers ◽  
Esther W. de Bekker-Grob ◽  
Elly A. Stolk
Keyword(s):  
Paradigm Shift ◽  
Time Preference ◽  
Health State ◽  
Health State Valuations ◽  
Estimation Of Time

scholarly journals Manipulating the 5 Dimensions of the EuroQol Instrument: The Effects on Self-Reporting Actual Health and Valuing Hypothetical Health States

2019 ◽  
Vol 39 (4) ◽  
pp. 380-392 ◽  
Author(s):  
Aki Tsuchiya ◽  
Nick Bansback ◽  
Arne Risa Hole ◽  
Brendan Mulhern
Keyword(s):  
Discrete Choice ◽  
Online Survey ◽  
Self Report ◽  
Discrete Choice Experiments ◽  
Health State ◽  
Health States ◽  
Different Types ◽  
Health State Valuations ◽  
The Uk ◽  
Actual Health

Background. The EQ-5D instrument has 5 dimensions. This article reports on the effects of manipulating a) the order in which the 5 dimensions are presented (appearing first v. last), b) splitting of the composite dimensions (“pain or discomfort” and “anxiety or depression”), and c) removing or “bolting off” 1 of the 5 EQ-5D dimensions at a time. The effects were examined in 2 contexts: 1) self-reporting health and 2) health state valuations. Methods. Three different types of discrete choice experiments (DCE) including a duration attribute were designed. An online survey with 12 subtypes, each with 10 DCE tasks, was designed and completed by 2494 members of the UK general public. Results. Of the 3 manipulations in the self-reporting context, only b) splitting anxiety or depression had a significant effect. In the health state valuation context, b) splitting level 5 pain or discomfort (relative to pain) and splitting level 5 anxiety or depression (relative to anxiety) had significant effects as did c) bolting off dimensions. Conclusions. We find that the values given to certain health dimensions are sensitive to the way in which it is described and the other health dimensions presented. Of particular interest is the effect of splitting composite dimensions: a given EQ-5D(-5L) profile may mean different things depending on whether the profile is used to self-report one’s health or to value hypothetical states, so that the health state values of EQ-5D(-5L) in population tariffs may not correspond to the states that patients self-report themselves in.

Health state valuations from the general public using the Visual Analogue Scale

1996 ◽  
Vol 5 (6) ◽  
pp. 521-531 ◽  
Author(s):  
C. Gudex ◽  
P. Dolan ◽  
P. Kind ◽  
A. Williams
Keyword(s):  
Visual Analogue Scale ◽  
General Public ◽  
Analogue Scale ◽  
Health State ◽  
Health State Valuations

Inconsistency and health state valuations

1996 ◽  
Vol 42 (4) ◽  
pp. 609-615 ◽  
Author(s):  
Paul Dolan ◽  
Paul Kind
Keyword(s):  
Health State ◽  
Health State Valuations
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