Data for: Cost-effectiveness of nutrition policies to discourage processed meat consumption: implications for cancer burden in the United States

Published: 26 April 2021| Version 1 | DOI: 10.17632/ydtn73h5ff.1
Contributor:
David Kim

Description

The DiCOM is a probabilistic state-transition cohort model that projects the population effect of nutrition policies on cancer outcomes. The model consists of 1) six health states: healthy without cancer, initial treatment with colorectal cancer, continuous care with colorectal cancer, initial treatment with stomach cancer, continuous care with stomach cancer, and dead (from cancer or other causes); 2) the annual likelihood of changes in health; and 3) the lifetime consequences of such changes on health outcomes and economic costs.14 Our model estimated health benefits (life years, quality-adjusted life-years (QALYs,) cancer incidence, and years living with cancer) and economic impact (e.g., policy implementation costs, healthcare costs, and productivity benefits).

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Categories

Cancer, Diet, Probabilistic Model, Cost-Effectiveness Analysis, Markov Model

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