Valuation of Health State Using Virtual Reality

NCT ID: NCT02907034

Last Updated: 2016-09-20

Basic Information

• Recruitment Status: UNKNOWN
• Clinical Phase: NA
• Total Enrollment: 140 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2017-01-31
• Study Completion Date: 2021-01-31

Brief Summary

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.

Conditions

Public Health

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: CROSSOVER
• Primary Study Purpose: HEALTH_SERVICES_RESEARCH
• Blinding Strategy: NONE

Study Groups

Group 1

First,Virtual reality approach (VR), then classical narrative approach (CN)

Group Type: EXPERIMENTAL

Virtual reality experimentation sequency (VR)

Intervention Type: PROCEDURE

Classical narrative approach (CN)

Intervention Type: PROCEDURE

Group 2

First, classical narrative approach (CN), then virtual reality approach

Group Type: ACTIVE_COMPARATOR

Virtual reality experimentation sequency (VR)

Intervention Type: PROCEDURE

Classical narrative approach (CN)

Intervention Type: PROCEDURE

Interventions

Virtual reality experimentation sequency (VR)

Intervention Type: PROCEDURE

Classical narrative approach (CN)

Intervention Type: PROCEDURE

Eligibility Criteria

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

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Assistance Publique Hopitaux De Marseille

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Ureielle DESALBRES

Role: STUDY_DIRECTOR

Assistance Publique Hôpitaux de Marseille

Pascal AUQUIER, MD-PhD

Role: PRINCIPAL_INVESTIGATOR

Assistance Publique Hôpitaux de Marseille

Locations

Assistance Publique Hôpitaux de Marseille

Marseille, , France

Countries

France

Central Contacts

Pascal AUQUIER, MD-PhD

Role: CONTACT

pascal.auquier@ap-hm.fr

Facility Contacts

Pascal AUQUIER, MD-PhD

Role: primary

Other Identifiers

RCAPHM16_0016

Identifier Type: -

Identifier Source: org_study_id