CHOICES Microsimulation Model Technical Documentation: Details on Model Parameters
As of CHOICES v4.6.1, updated July 22, 2022. Documentation last updated March 2, 2023.
Authors: Zachary J. Ward,1 Jessica L. Barrett,2 Angie L. Cradock,2 Roxanne Dupuis,2 Matthew M. Lee,3 Michael W. Long,4 Aviva A. Musicus,3 Steven L. Gortmaker2
1Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA; 2Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA; 3Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; 4 Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, D.C.
The Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) microsimulation model estimates the impact of an intervention strategy to promote healthy weight on population health outcomes and costs in the United States. The modeling methods and data sources are described in detail in Gortmaker et al. 2015 Health Affairs, Appendix A3,1 available at: https://www.healthaffairs.org/doi/suppl/10.1377/hlthaff.2015.0631. The CHOICES microsimulation model continues to use the same general approach, with updated model inputs and assumptions as noted below to reflect new data available and methodological refinements made over time.
Suggested Citation: Ward ZJ, Barrett JL, Cradock AL, Dupuis R, Lee MM, Long MW, Musicus AA, Gortmaker SL. Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) Microsimulation Model Technical Documentation: Details on Model Parameters (CHOICES v4.6.1). CHOICES Project Team at the Harvard T.H. Chan School of Public Health, Boston, MA; March 2023.
Funded by The JPB Foundation (Grant No. 1085), the National Institutes of Health (Grant No. R01HL146625) and the Centers for Disease Control and Prevention (CDC) (Grant No. U48DP006376). This work is solely the responsibility of the authors and does not represent official views of the CDC, the NIH, or other agencies.
Last updated: March 2, 2023