跳至主要内容
临床试验/NCT02907034
NCT02907034Unknown不适用

Valuation of Health States in the French General Population: Role and Interest of an Innovative Approach Based on Virtual Reality

Assistance Publique Hopitaux De Marseille2 个研究点 分布在 1 个国家目标入组 140 人开始时间: 2017年1月最近更新:
适应症

试验速览

阶段
不适用
入组人数
140
试验地点
2
主要终点
Average number of overall inconsistency produced by an individual following health states preferences elicitation test under VR compared to test under the classic and conventional narrative approaches

研究概览

简要总结

Financials constraints of health systems require suitable indices and criteria to better allocate resources in order to enhance and maximize social welfare. Among multiple methods, the quality-adjusted life year (QALY) is used as a validated and preference-base measure for health care procedures in health economics studies such as cost-utility analyses.

In France, the methodological guide of the public agency of the High Authority for Health (HAS) recommends the valuation of health states with the use of a generic and descriptive instrument (EQ5D), validated by the Time Trade Off method (TTO) in samples from general French population.

Although it appears to be legitimate to distribute collective resources based on general population preferences, a major concern is that individuals do not face a real choice that can have a direct implication on their welfare and their life.

The existence of a discrepancy between revealed "hypothetical" preferences and real preferences would raise the problem concerning production of the currently available standards and norms. Hence, a methodological deepening of these preferences revelation process is necessary.

Virtual reality (VR) could play a key role in resolving this methodological problem. Widely used in the field of health (such as therapy, medical training...), VR is a simulation that seeks to approach the reality, without trying to be quite like it. It aims one or more individuals to explore a sensorimotor and cognitive activity in an artificial world in 3D, which can be "imaginary, symbolic or a simulation of some aspects of the real world" (Fuchs, 2006). VR could be well applied to the field of health economics by offering hypothetical scenarios of the different health states from the EQ5D that individuals might experience in the first person.

To date, existence of this discrepancy between revealed "hypothetical" preferences and actual preferences of individuals from the general population is extremely difficult to explore. However, this is an important methodological challenge in the revelation of preferences to guide health-related decisions.

Indeed, comparing the revealed preferences about health states established from a first person experience in VR to the revealed preferences established from the classic narrative approach without VR, may provide an accurate approach of actual and real preferences of individuals from the general population.

Moreover, another advantage of VR is to permit the assessment of a greater number of health states, this method being faster processed than the narrative approach: individuals are experimenting immediate experience of a situation when under VR. Thus, VR method may overcome technical constraints of the classic narrative approach concerning limited sample sizes in norms production.

To the investigators knowledge, VR has never been proposed for valuating health conditions.

This study would report the relevance and interest in using VR (immersive and immediate life situation experience) for the production of utility EQ5D health states values in the general population by the revelation of preferences method called the Time Trade Off (TTO), the currently approach recommended by the HAS.

Using VR could circumvent some limitations of the current narrative approach: it would provide a better feasibility and acceptability among subjects, fewer inconsistencies, an easier and wider access to disadvantaged individuals. Eventually revisions of available standards could be proposed to allow the HAS and policy makers to base their choices on more reliable, standardized and accurate classifications of health states conditions, that associate each health state to a predefined value.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Crossover
主要目的
Health Services Research
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Subject without major vision problem, judged clinically
  • Subject without major auditive problem, judged clinically

排除标准

  • Subject unable to read and understand French
  • Subject covered by a the french social security system

结局指标

主要结局

Average number of overall inconsistency produced by an individual following health states preferences elicitation test under VR compared to test under the classic and conventional narrative approaches

时间窗: 6 hours

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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