Missing data in trial-based cost-effectiveness analysis: An incomplete journey.
Ontology highlight
ABSTRACT: Cost-effectiveness analyses (CEA) conducted alongside randomised trials provide key evidence for informing healthcare decision making, but missing data pose substantive challenges. Recently, there have been a number of developments in methods and guidelines addressing missing data in trials. However, it is unclear whether these developments have permeated CEA practice. This paper critically reviews the extent of and methods used to address missing data in recently published trial-based CEA. Issues of the Health Technology Assessment journal from 2013 to 2015 were searched. Fifty-two eligible studies were identified. Missing data were very common; the median proportion of trial participants with complete cost-effectiveness data was 63% (interquartile range: 47%-81%). The most common approac
SUBMITTER: Leurent B
PROVIDER: S-EPMC5947820 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA