2012
DOI: 10.1016/j.jclinepi.2012.01.017
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Value of information methods for planning and analyzing clinical studies optimize decision making and research planning

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Cited by 23 publications
(20 citation statements)
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“…This approach considers a number of factors such as the relative effectiveness and costs of the evaluated technologies, the decision maker's willingness-to-pay for the additional effectiveness, the probability and consequences of making a suboptimal decision, the population expected to benefit from research findings, the level of implementation (i.e., uptake) of research findings, and the total cost associated with the intended research [54]. Of note, the total cost of research does not only include the direct cost of research in terms of fixed and variable costs but also the opportunity cost from delaying the implementation of the technology awaiting the conclusion of the future trial [27,56]. In addition to sample-size calculation, value of information analysis can optimize other aspects of trial design such as the number of comparators and follow-up duration [29,56].…”
Section: Discussionmentioning
confidence: 99%
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“…This approach considers a number of factors such as the relative effectiveness and costs of the evaluated technologies, the decision maker's willingness-to-pay for the additional effectiveness, the probability and consequences of making a suboptimal decision, the population expected to benefit from research findings, the level of implementation (i.e., uptake) of research findings, and the total cost associated with the intended research [54]. Of note, the total cost of research does not only include the direct cost of research in terms of fixed and variable costs but also the opportunity cost from delaying the implementation of the technology awaiting the conclusion of the future trial [27,56]. In addition to sample-size calculation, value of information analysis can optimize other aspects of trial design such as the number of comparators and follow-up duration [29,56].…”
Section: Discussionmentioning
confidence: 99%
“…Of note, the total cost of research does not only include the direct cost of research in terms of fixed and variable costs but also the opportunity cost from delaying the implementation of the technology awaiting the conclusion of the future trial [27,56]. In addition to sample-size calculation, value of information analysis can optimize other aspects of trial design such as the number of comparators and follow-up duration [29,56]. Obviously, more uncertainty is expected to resolve with longer follow-up and more comparator arms albeit with additional research costs.…”
Section: Discussionmentioning
confidence: 99%
“…on new treatments or new tests – becomes available. Furthermore, model-based methods can be used to determine whether a diagnostic RCT may still be worthwhile to conduct and in which specific patient groups, to optimize RCT design [19,51]. …”
Section: Discussionmentioning
confidence: 99%
“…For HIV cure strategies and interventions still in development, it is important to underline the limitations of cost-effectiveness analysis due to the uncertainty in HIV cure research and the potential impact of new interventions. For this reason, other strategies such as mathematical models that include accounting for uncertainty will need to be explored, for example, Value of Information analysis (VOI) which refers to the amount a decision-maker would be willing to pay for information prior to making a decision [32, 33]. These kinds of analytic strategies are detailed by Freedberg and colleagues in reference to HIV cure research, yet economics related research in HIV cure in general has yet to be fully undertaken [34].…”
Section: Community Policy-maker and Funder Perspectivesmentioning
confidence: 99%