- ICH GCP
- Registro de ensayos clínicos de EE. UU.
- Ensayo clínico NCT02907034
Valuation of Health State Using Virtual Reality (ReV-UTIL)
Valuation of Health States in the French General Population: Role and Interest of an Innovative Approach Based on Virtual Reality
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.
Descripción general del estudio
Estado
Condiciones
Intervención / Tratamiento
Tipo de estudio
Inscripción (Anticipado)
Fase
- No aplica
Contactos y Ubicaciones
Ubicaciones de estudio
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Marseille, Francia, 13354
- Assistance Publique Hôpitaux de Marseille
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Criterios de participación
Criterio de elegibilidad
Edades elegibles para estudiar
Acepta Voluntarios Saludables
Géneros elegibles para el estudio
Descripción
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
Plan de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
- Propósito principal: Investigación de servicios de salud
- Asignación: Aleatorizado
- Modelo Intervencionista: Asignación cruzada
- Enmascaramiento: Ninguno (etiqueta abierta)
Armas e Intervenciones
Grupo de participantes/brazo |
Intervención / Tratamiento |
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Experimental: Group 1
First,Virtual reality approach (VR), then classical narrative approach (CN)
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Comparador activo: Group 2
First, classical narrative approach (CN), then virtual reality approach
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¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Periodo de tiempo |
|---|---|
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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
Periodo de tiempo: 6 hours
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6 hours
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Colaboradores e Investigadores
Patrocinador
Investigadores
- Director de estudio: Ureielle DESALBRES, Assistance Publique Hôpitaux de Marseille
- Investigador principal: Pascal AUQUIER, MD-PhD, Assistance Publique Hôpitaux de Marseille
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio
Finalización primaria (Anticipado)
Finalización del estudio (Anticipado)
Fechas de registro del estudio
Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Estimar)
Actualizaciones de registros de estudio
Última actualización publicada (Estimar)
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Más información
Términos relacionados con este estudio
Otros números de identificación del estudio
- RCAPHM16_0016
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
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