2008
DOI: 10.1111/j.1524-4733.2008.00389.x
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Expected Value of Perfect Information: An Empirical Example of Reducing Decision Uncertainty by Conducting Additional Research

Abstract: This VOI analysis clearly identified parameters for which additional research is most worthwhile. After conducting additional research on the most important parameter, i.e., the utilities, total EVPI was substantially reduced.

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Cited by 57 publications
(60 citation statements)
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“…We estimated the likelihood of each treatment strategy being the more favorable across a range of willingness-to-pay (WTP) thresholds. To assess the value of additional information, we calculated the expected value of perfect information (EVPI) with a 20-year lifespan of the testing technology and a partial EVPI (EVPPI) for the input parameters at various WTP thresholds [38]. From the 24% prevalence of AMCI and population estimates in Canada, we estimated the number of AMCI patients aged 70 years and older in Canada to be 275,000.…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…We estimated the likelihood of each treatment strategy being the more favorable across a range of willingness-to-pay (WTP) thresholds. To assess the value of additional information, we calculated the expected value of perfect information (EVPI) with a 20-year lifespan of the testing technology and a partial EVPI (EVPPI) for the input parameters at various WTP thresholds [38]. From the 24% prevalence of AMCI and population estimates in Canada, we estimated the number of AMCI patients aged 70 years and older in Canada to be 275,000.…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…The model itself has been described in detail previously [12][13][14]. In short, it is a state-transition Markov model with four states: three COPD severity stages (moderate, severe and very severe) and death.…”
Section: Model-based Extrapolationmentioning
confidence: 99%
“…First, a trial-based economic evaluation was performed alongside the POET-COPD trial to estimate the cost-effectiveness in terms of costs per exacerbation avoided and costs per exacerbation day avoided. Second, the results of the POET-COPD trial were synthesised with evidence on COPD exacerbations from previous tiotropium studies [5,10,11] and this information was then used as input into a previously published COPD cost-effectiveness model [12][13][14]. The aim of the model-based analysis was to extrapolate trial results up to 5 yrs, to adjust the trial-based COPD severity distribution to a populationbased severity distribution and to estimate the costs per quality-adjusted life year (QALY).…”
mentioning
confidence: 99%
“…First, it helps the decision maker in assessing how much gain could be obtained by reducing the uncertainty on the uncertain parameters (e.g. Oostenbrink et al (2008)). Second, it can be used as a lower bound for the optimal value of the true uncertain problem.…”
Section: Introductionmentioning
confidence: 99%