|Benefit-Cost Summary Statistics Per Participant|
|Taxpayers||$5,048||Benefits minus costs||$13,737|
|Participants||$6,378||Benefit to cost ratio||$32.16|
|Others||$1,447||Chance the program will produce|
|Indirect||$1,304||benefits greater than the costs||81 %|
|Net program cost||($441)|
|Benefits minus cost||$13,737|
|Detailed Monetary Benefit Estimates Per Participant|
|Benefits from changes to:1||Benefits to:|
|Labor market earnings associated with diabetes||$2,634||$5,801||$0||$341||$8,776|
|Health care associated with diabetes||$2,414||$577||$1,447||$1,182||$5,621|
|Adjustment for deadweight cost of program||$0||$0||$0||($219)||($219)|
|Detailed Annual Cost Estimates Per Participant|
|Annual cost||Year dollars||Summary|
|Program costs||$440||2014||Present value of net program costs (in 2015 dollars)||($441)|
|Comparison costs||$0||2014||Cost range (+ or -)||10 %|
|Estimated Cumulative Net Benefits Over Time (Non-Discounted Dollars)|
|The graph above illustrates the estimated cumulative net benefits per-participant for the first fifty years beyond the initial investment in the program. We present these cash flows in non-discounted dollars to simplify the “break-even” point from a budgeting perspective. If the dollars are negative (bars below $0 line), the cumulative benefits do not outweigh the cost of the program up to that point in time. The program breaks even when the dollars reach $0. At this point, the total benefits to participants, taxpayers, and others, are equal to the cost of the program. If the dollars are above $0, the benefits of the program exceed the initial investment.|
|Meta-Analysis of Program Effects|
|Outcomes measured||No. of effect sizes||Treatment N||Adjusted effect sizes (ES) and standard errors (SE) used in the benefit-cost analysis||Unadjusted effect size (random effects model)|
|First time ES is estimated||Second time ES is estimated|
Ackermann, R.T., Finch, E.A., Brizendine, E., Zhou, H., & Marrero, D.G. (2008). Translating the Diabetes Prevention Program into the community. The DEPLOY Pilot Study. American Journal of Preventive Medicine, 35(4), 357-63.
Katula, J.A., Vitolins, M.Z., Rosenberger, E.L., Blackwell, C.S., Morgan, T.M., Lawlor, M.S., & Goff, D.C.J. (2011). One-year results of a community-based translation of the Diabetes Prevention Program: Healthy-Living Partnerships to Prevent Diabetes (HELP PD) Project. Diabetes Care, 34(7), 1451-7.
Kulzer, B., Hermanns, N., Gorges, D., Schwarz, P., & Haak, T. (2009). Prevention of diabetes self-management program (PREDIAS): effects on weight, metabolic risk factors, and behavioral outcomes. Diabetes Care, 32(7), 1143-6.
Ma, J., Yank, V., Xiao, L., Wilson, S.R., Rosas, L.G., Stafford, R.S., & Lavori, P.W. (2013). Translating the diabetes prevention program lifestyle intervention for weight loss into primary care: A randomized trial. Jama Internal Medicine, 173(2), 113-121.
Mason, C., Foster-Schubert, K.E., Imayama, I., Kong, A., Xiao, L., Bain, C., Campbell, K.L., ... McTiernan, A. (2011). Dietary weight loss and exercise effects on insulin resistance in postmenopausal women. American Journal of Preventive Medicine, 41(4), 366-75.
Moore, S.M., Hardie, E.A., Hackworth, N.J., Critchley, C.R., Kyrios, M., Buzwell, S.A., & Crafti, N.A. (2011). Can the onset of type 2 diabetes be delayed by a group-based lifestyle intervention? A randomised control trial. Psychology and Health, 26(4), 485-499.
Ockene, I.S., Tellez, T.L., Rosal, M.C., Reed, G.W., Mordes, J., Merriam, P.A., Olendzki, B.C., ... Ma, Y. (2012). Outcomes of a Latino community-based intervention for the prevention of diabetes: the Lawrence Latino Diabetes Prevention Project. American Journal of Public Health, 102(2), 336-42.
Parikh, P., Simon, E.P., Fei, K., Looker, H., Goytia, C., & Horowitz, C.R. (2010). Results of a pilot diabetes prevention intervention in East Harlem, New York City: Project HEED. American Journal of Public Health, 100(Suppl 1), S232-S239.