Alexandria, VA — April 12, 2021 — The Innovation and Value Initiative (IVI) — a nonprofit organization dedicated to advancing the science, practice, and use of value assessment in healthcare — today published the initial scope of its Open-Source Value Project Major Depressive Disorder (MDD) economic model. The scope document will be open for public [...]
Expanding services covered by a “bundled payment” can also expand variation in the costs of treating patients under the bundle. In this article, Charu Gupta et al.explore this topic further using the Medicare dialysis program as an example. Source: Health Services Research
Despite the great realized or potential value of network meta-analysis of randomized controlled trial evidence to inform health care decision making, many decision makers might not be familiar with these techniques. The Task Force developed a consensus-based 26-item questionnaire to help decision makers assess the relevance and the credibility of indirect treatment comparisons and network [...]
In the last decade, network meta-analysis of randomized controlled trials has been introduced as an extension of pairwise meta-analysis. The advantage of network meta-analysis over standard pairwise meta-analysis is that it facilitates indirect comparisons of multiple interventions that have not been studied in a head-to-head fashion. Although assumptions underlying pairwise meta-analyses are well understood, those [...]
Recently, network meta-analysis of survival data with a multidimensional treatment effect was introduced. With these models the hazard ratio is not assumed to be constant over time, thereby reducing the possibility of violating transitivity in indirect comparisons. However, bias is still present if there are systematic differences in treatment effect modifiers across comparisons. It was [...]
Multi-arm trials are particularly valuable forms of evidence for network meta-analysis (NMA). Trial results are available either as arm-level summaries, where effect measures are reported for each arm or as contrast-level summaries, where the differences in effect between arms compare with the control arm chosen for the trial. We show that likelihood-based inference in both [...]
Evidence-based health care decision making requires comparison of all relevant competing interventions. In the absence of randomized controlled trials involving a direct comparison of all treatments of interest, indirect treatment comparisons and network meta-analysis provide useful evidence for judiciously selecting the best treatment(s). Mixed treatment comparisons, a special case of network meta-analysis, combine direct evidence [...]
Evidence-based health-care decision making requires comparisons of all relevant competing interventions. In the absence of randomized, controlled trials involving a direct comparison of all treatments of interest, indirect treatment comparisons and network meta-analysis provide useful evidence for judiciously selecting the best choice(s) of treatment. Mixed treatment comparisons, a special case of network meta-analysis, combine direct [...]
Pairwise meta-analysis, indirect treatment comparisons and network meta-analysis for aggregate level survival data are often based on the reported hazard ratio, which relies on the proportional hazards assumption. This assumption is implausible when hazard functions intersect, and can have a huge impact on decisions based on comparisons of expected survival, such as cost-effectiveness analysis. As [...]
Assessments of the medical and economic value of therapies in diseases such as cancer traditionally focus on average or median gains in patients’ survival. This focus ignores the value that patients may place on a therapy with a wider “spread” of outcomes that offer the potential of a longer period of survival. We call such [...]
