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OBJECTIVES: Traditional life tables provide valuable insights into mortality patterns but need to be adapted for quantifying the benefits of medical interventions. This article presents a methodology that modifies life tables using relative risk data to estimate incremental changes in life expectancy. METHODS: We developed a calculator that applies this approach, allowing users to input risk factor data with and without intervention to generate adjusted life expectancy estimates. RESULTS: The calculator provides a structured approach for estimating life expectancy changes that can be used for health economic evaluations. Its user-friendly interface offers policymakers and researchers a framework to explore intervention outcomes. CONCLUSIONS: By incorporating relative risk data into life tables, this methodology supports a structured but simplified assessment of how medical interventions may influence life expectancy.

Original publication

DOI

10.1016/j.jval.2025.03.021

Type

Journal

Value Health

Publication Date

15/04/2025

Keywords

Life tables, life expectancy, relative risk