AI Article Synopsis

  • Existing nutrition economics studies often show uncertainty in predicting financial outcomes related to healthy eating habits.
  • This study aimed to accurately predict healthcare cost savings from reduced cardiovascular disease (CVD) cases due to increased adherence to a Mediterranean-style diet (MedDiet).
  • The simulation model estimated that a 20% increase in MedDiet adherence could save the U.S. $8.2 billion and Canada Can$0.32 billion annually, while an 80% increase could lead to savings of $31 billion in the U.S. and Can$1.2 billion in Canada.

Article Abstract

Background: By design, existing scenario-based nutrition economics studies on the financial benefits of healthy dietary behaviors generally report uncertainty in inputs and wide ranges of outcome estimates.

Objectives: This modeling exercise aimed to establish precision in prediction of the potential healthcare cost savings that would follow a reduction in the incidence of cardiovascular disease (CVD) consistent with an increase in adherence to a Mediterranean-style diet (MedDiet).

Design: Using a simulation model on a cost-of-illness analysis assessing MedDiet adherence, CVD incidence reduction, and healthcare cost savings in the United States and Canada, short- and long-term cost savings that are likely to accrue to the American and Canadian healthcare systems were estimated using 20 and 80% increases in MedDiet adherence scenarios.

Results: Increasing percentage of population adhering to a MedDiet by 20% beyond the current adherence level produced annual savings in CVD-related costs of US$8.2 billion (95% confidence interval [CI], $7.5-$8.8 billion) in the United States and Can$0.32 billion (95% CI, $0.29-$0.34 billion) in Canada. An 80% increase in adherence resulted in savings equal to US$31 billion (95% CI, $28.6-$33.3 billion) and Can$1.2 billion (95% CI, $1.11-$1.30 billion) in each respective country.

Conclusion: Computational techniques with stochastic parameter inputs, such as the simulation, could be an effective way of incorporating variability of modeling parameters in nutrition economics studies for improved precision in estimating the monetary value of healthy eating habits.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756079PMC
http://dx.doi.org/10.29219/fnr.v63.3418DOI Listing

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