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Valuation of Health State Using Virtual Reality (ReV-UTIL)

This study is not yet open for participant recruitment.
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Verified September 2016 by Assistance Publique Hopitaux De Marseille
Information provided by (Responsible Party):
Assistance Publique Hopitaux De Marseille Identifier:
First received: September 12, 2016
Last updated: September 19, 2016
Last verified: September 2016

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.

Condition Intervention
Public Health Procedure: Virtual reality experimentation sequency (VR) Procedure: Classical narrative approach (CN)

Study Type: Interventional
Study Design: Allocation: Randomized
Intervention Model: Crossover Assignment
Masking: Open Label
Primary Purpose: Health Services Research
Official Title: Valuation of Health States in the French General Population: Role and Interest of an Innovative Approach Based on Virtual Reality

Further study details as provided by Assistance Publique Hopitaux De Marseille:

Primary Outcome Measures:
  • 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 [ Time Frame: 6 hours ]

Estimated Enrollment: 140
Study Start Date: January 2017
Estimated Study Completion Date: January 2021
Estimated Primary Completion Date: January 2020 (Final data collection date for primary outcome measure)
Arms Assigned Interventions
Experimental: Group 1
First,Virtual reality approach (VR), then classical narrative approach (CN)
Procedure: Virtual reality experimentation sequency (VR) Procedure: Classical narrative approach (CN)
Active Comparator: Group 2
First, classical narrative approach (CN), then virtual reality approach
Procedure: Virtual reality experimentation sequency (VR) Procedure: Classical narrative approach (CN)


Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

Inclusion Criteria:

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

Exclusion Criteria:

  • Subject unable to read and understand French
  • Subject covered by a the french social security system
  Contacts and Locations
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the Contacts provided below. For general information, see Learn About Clinical Studies.

Please refer to this study by its identifier: NCT02907034

Contact: Pascal AUQUIER, MD-PhD

Assistance Publique Hôpitaux de Marseille Not yet recruiting
Marseille, France, 13354
Contact: Pascal AUQUIER, MD-PhD         
Sponsors and Collaborators
Assistance Publique Hopitaux De Marseille
Study Director: Ureielle DESALBRES Assistance Publique Hôpitaux de Marseille
Principal Investigator: Pascal AUQUIER, MD-PhD Assistance Publique Hôpitaux de Marseille
  More Information

Responsible Party: Assistance Publique Hopitaux De Marseille Identifier: NCT02907034     History of Changes
Other Study ID Numbers: RCAPHM16_0016
Study First Received: September 12, 2016
Last Updated: September 19, 2016
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No processed this record on July 27, 2017