Denne side blev automatisk oversat, og nøjagtigheden af ​​oversættelsen er ikke garanteret. Der henvises til engelsk version for en kildetekst.

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

19. september 2016 opdateret af: Assistance Publique Hopitaux De Marseille

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.

Studieoversigt

Status

Ukendt

Betingelser

Intervention / Behandling

Undersøgelsestype

Interventionel

Tilmelding (Forventet)

140

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Studiesteder

      • Marseille, Frankrig, 13354
        • Assistance Publique Hôpitaux de Marseille

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

18 år og ældre (Voksen, Ældre voksen)

Tager imod sunde frivillige

Ja

Køn, der er berettiget til at studere

Alle

Beskrivelse

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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Sundhedstjenesteforskning
  • Tildeling: Randomiseret
  • Interventionel model: Crossover opgave
  • Maskning: Ingen (Åben etiket)

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: Group 1
First,Virtual reality approach (VR), then classical narrative approach (CN)
Aktiv komparator: Group 2
First, classical narrative approach (CN), then virtual reality approach

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Tidsramme
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
Tidsramme: 6 hours
6 hours

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Efterforskere

  • Studieleder: Ureielle DESALBRES, Assistance Publique Hôpitaux de Marseille
  • Ledende efterforsker: Pascal AUQUIER, MD-PhD, Assistance Publique Hôpitaux de Marseille

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart

1. januar 2017

Primær færdiggørelse (Forventet)

1. januar 2020

Studieafslutning (Forventet)

1. januar 2021

Datoer for studieregistrering

Først indsendt

12. september 2016

Først indsendt, der opfyldte QC-kriterier

19. september 2016

Først opslået (Skøn)

20. september 2016

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Skøn)

20. september 2016

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

19. september 2016

Sidst verificeret

1. september 2016

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • RCAPHM16_0016

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .