Ron Z Goetzel1, Maryam Tabrizi, Rachel Mosher Henke, Richele Benevent, Claire V S Brockbank, Kaylan Stinson, Margo Trotter, Lee S Newman. 1. From the Institute for Health and Productivity Studies (Dr Goetzel), Rollins School of Public Health, Emory University, Washington, DC; Truven Health Analytics (Drs Goetzel and Tabrizi), Bethesda, Md; Truven Health Analytics (Dr Henke), Cambridge, Mass; Truven Health Analytics (Ms Benevent), Santa Barbara, Calif; Segue Consulting (Ms Brockbank), Denver, Colo; Colorado School of Public Health (Ms Stinson and Dr Newman), Center for Worker Health and Environment, and Colorado School of Medicine (Dr Newman), University of Colorado, Aurora; and Trotter Wellness Ltd (Ms Trotter), Sheboygan, Wis.
Abstract
OBJECTIVE: To determine whether changes in health risks for workers in small businesses can produce medical and productivity cost savings. METHODS: A 1-year pre- and posttest study tracked changes in 10 modifiable health risks for 2458 workers at 121 Colorado businesses that participated in a comprehensive worksite health promotion program. Risk reductions were entered into a return-on-investment (ROI) simulation model. RESULTS: Reductions were recorded in 10 risk factors examined, including obesity (-2.0%), poor eating habits (-5.8%), poor physical activity (-6.5%), tobacco use (-1.3%), high alcohol consumption (-1.7%), high stress (-3.5%), depression (-2.3%), high blood pressure (-0.3%), high total cholesterol (-0.9%), and high blood glucose (-0.2%). The ROI model estimated medical and productivity savings of $2.03 for every $1.00 invested. CONCLUSIONS: Pooled data suggest that small businesses can realize a positive ROI from effective risk reduction programs.
OBJECTIVE: To determine whether changes in health risks for workers in small businesses can produce medical and productivity cost savings. METHODS: A 1-year pre- and posttest study tracked changes in 10 modifiable health risks for 2458 workers at 121 Colorado businesses that participated in a comprehensive worksite health promotion program. Risk reductions were entered into a return-on-investment (ROI) simulation model. RESULTS: Reductions were recorded in 10 risk factors examined, including obesity (-2.0%), poor eating habits (-5.8%), poor physical activity (-6.5%), tobacco use (-1.3%), high alcohol consumption (-1.7%), high stress (-3.5%), depression (-2.3%), high blood pressure (-0.3%), high total cholesterol (-0.9%), and high blood glucose (-0.2%). The ROI model estimated medical and productivity savings of $2.03 for every $1.00 invested. CONCLUSIONS: Pooled data suggest that small businesses can realize a positive ROI from effective risk reduction programs.
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