4.7 Article

Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure

Journal

SOCIAL SCIENCE & MEDICINE
Volume 276, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.socscimed.2021.113830

Keywords

Portfolio; HTA; Mean variance; Health economics; Decision-making

Ask authors/readers for more resources

The COVID-19 pandemic presents challenges to healthcare technology evaluation, and a new method is suggested for continuous assessment of interventions in health systems to choose diverse portfolios beyond the traditional focus on pre-adoption data.
The COVID-19 pandemic is challenging how healthcare technologies are evaluated, as new, more dynamic methods are required to test the cost effectiveness of alternative interventions during use rather than before initial adoption. Currently, health technology assessment (HTA) tends to be static and a priori: alternatives are compared before launch, and little evaluation occurs after implementation. We suggest a method that builds upon the current pre-launch HTA procedures by conceptualizing a mean-variance approach to the continuous evaluation of attainable portfolios of interventions in health systems. Our framework uses frontier analysis to identify the desirability of available health interventions so decision makers can choose diverse portfolios based upon information about expected returns and risks. This approach facilitates the extension of existing methods and assessments beyond the traditional concern with pre-adoption data, a much-needed innovation given the challenges posed by COVID-19.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available