Different Methods for Modelling Severe Hypoglycaemic Events: Implications for Effectiveness, Costs and Health Utilities.

ABSTRACT: BACKGROUND:Clinical trials report severe hypoglycaemic events as the number of patients with at least one event out of the total randomised or number of events for a given total exposure. Different network meta-analysis models have been used to analyse these different data types. OBJECTIVE:This aim of this article was to establish the impact of using the different models on effectiveness, costs and health utility estimates. METHODS:We analysed a dataset used in a recent network meta-analysis of severe hypoglycaemic events conducted to inform National Institute for Health and Care Excellence recommendations regarding basal insulin choice for patients with type 1 diabetes mellitus. We fitted a model with a binomial likelihood reporting odds ratios (using a logit link) or hazard ratios (compl

SUBMITTER: Keeney E 

PROVIDER: S-EPMC5906516 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature