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Open Access 25-04-2024 | Editorial

Whither Decision-Analytic Modelling-Based Economic Evaluation for Health Care Decision Making?

Authors: Rachael Maree Hunter, Matthew Franklin

Published in: PharmacoEconomics - Open

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Excerpt

Well-designed randomised controlled trials (RCTs) remain the gold standard for estimating treatment effects between counterfactual groups (e.g., Treatment A vs Treatment B). This is due to the role trial designs and randomisation play in controlling for various forms of bias, particularly selection bias and confounding [13], strengthening our ability to make causal claims related to estimated differences between counterfactual groups.  RCTs are not perfect though and are still prone to various forms of bias, such as information bias (e.g., missing data due to loss to follow-up) [2]. A trip to any health technology assessment (HTA)-related conference suggests a preference for decision-analytic modelling over trial-based economic evaluations. This may have been influenced by a perception among researchers that HTA agencies have a preference for decision-analytic models. Other factors could include a growing workforce skilled in decision-analytic modelling, insufficient data collected in trials to enable trial-based economic evaluations, and publications recommending decision-analytic modelling over trial-based analyses. …
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Metadata
Title
Whither Decision-Analytic Modelling-Based Economic Evaluation for Health Care Decision Making?
Authors
Rachael Maree Hunter
Matthew Franklin
Publication date
25-04-2024
Publisher
Springer International Publishing
Published in
PharmacoEconomics - Open
Print ISSN: 2509-4262
Electronic ISSN: 2509-4254
DOI
https://doi.org/10.1007/s41669-024-00492-9