David D Kim1, Parke E Wilde2, Dominique S Michaud3, Junxiu Liu2, Lauren Lizewski2, Jennifer Onopa2, Dariush Mozaffarian2, Fang Fang Zhang2, John B Wong4. 1. Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts. Electronic address: dkim3@tuftsmedicalcenter.org. 2. Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts. 3. Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts. 4. Division of Clinical Decision Making, Tufts Medical Center, Boston, Massachusetts.
Abstract
INTRODUCTION: Processed meats are associated with increased risk of colorectal and stomach cancers, but health and economic impacts of policies to discourage processed meats are not well established. This paper aims to evaluate the cost effectiveness of implementing tax and warning labels on processed meats. METHODS: A probabilistic cohort-state transition model was developed in 2018, including lifetime and short-term horizons, healthcare, and societal perspectives, and 3% discount rates for costs and health outcomes. The model simulated 32 subgroups by age, gender, and race/ethnicity from the U.S. adult population and integrated nationally representative 2011-2014 data on processed meat consumption, with etiologic effects of processed meat consumption on cancer incidence, medical and indirect societal costs, and policy costs. RESULTS: Over a lifetime, the 10% excise tax would prevent 77,000 cases of colorectal cancer (95% uncertainty interval=56,800, 107,000) and 12,500 cases of stomach cancer (95% uncertainty interval=6,880, 23,900), add 593,000 quality-adjusted life years (95% uncertainty interval=419,000, 827,000), and generate net savings of $2.7 billion from a societal perspective, including $1.1 billion healthcare costs saved. The warning label policy would avert 85,400 cases of colorectal cancer (95% uncertainty interval=56,600, 141,000) and 15,000 cases of stomach cancer (95% uncertainty interval=6,860, 34,500), and add 660,000 quality-adjusted life years (95% uncertainty interval=418,000, 1,070,000), with net savings of $4.5 billion from a societal perspective, including $1.3 billion healthcare costs saved. In subgroup analyses, greater health and economic benefits accrued to (1) younger subpopulations, (2) subpopulations with greater cancer risk, and (3) those with higher baseline processed meat consumption. CONCLUSIONS: The model shows that implementing tax or warning labels on processed meats would be a cost-saving strategy with substantial health and economic benefits. The findings should encourage policy makers to consider nutrition-related policies to reduce cancer burden.
INTRODUCTION: Processed meats are associated with increased risk of colorectal and stomach cancers, but health and economic impacts of policies to discourage processed meats are not well established. This paper aims to evaluate the cost effectiveness of implementing tax and warning labels on processed meats. METHODS: A probabilistic cohort-state transition model was developed in 2018, including lifetime and short-term horizons, healthcare, and societal perspectives, and 3% discount rates for costs and health outcomes. The model simulated 32 subgroups by age, gender, and race/ethnicity from the U.S. adult population and integrated nationally representative 2011-2014 data on processed meat consumption, with etiologic effects of processed meat consumption on cancer incidence, medical and indirect societal costs, and policy costs. RESULTS: Over a lifetime, the 10% excise tax would prevent 77,000 cases of colorectal cancer (95% uncertainty interval=56,800, 107,000) and 12,500 cases of stomach cancer (95% uncertainty interval=6,880, 23,900), add 593,000 quality-adjusted life years (95% uncertainty interval=419,000, 827,000), and generate net savings of $2.7 billion from a societal perspective, including $1.1 billion healthcare costs saved. The warning label policy would avert 85,400 cases of colorectal cancer (95% uncertainty interval=56,600, 141,000) and 15,000 cases of stomach cancer (95% uncertainty interval=6,860, 34,500), and add 660,000 quality-adjusted life years (95% uncertainty interval=418,000, 1,070,000), with net savings of $4.5 billion from a societal perspective, including $1.3 billion healthcare costs saved. In subgroup analyses, greater health and economic benefits accrued to (1) younger subpopulations, (2) subpopulations with greater cancer risk, and (3) those with higher baseline processed meat consumption. CONCLUSIONS: The model shows that implementing tax or warning labels on processed meats would be a cost-saving strategy with substantial health and economic benefits. The findings should encourage policy makers to consider nutrition-related policies to reduce cancer burden.
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