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Quantifying the Impact of Intervention on Health Outcomes: A Tool for Assessing Incremental Changes to Life
Symret Singh1, Oliver Rivero-Arias2, Philip Clarke3
1Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
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. The calculations to modify life-expectancy were based on estimating 'effective age', a concept widely used in risk communication studies.
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 policy makers 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.
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