Baker Kristin M, Goetzel Ron Z, Pei Xiaofei, Weiss Audrey J, Bowen Jennie, Tabrizi Maryam J, Nelson Craig F, Metz R Douglas, Pelletier Kenneth R, Thompson Elizabeth
Health and Productivity Research, Thomson Reuters, Washington, DC, USA.
J Occup Environ Med. 2008 Sep;50(9):981-90. doi: 10.1097/JOM.0b013e318184a489.
Certain modifiable risk factors lead to higher health care costs and reduced worker productivity. A predictive return-on-investment (ROI) model was applied to an obesity management intervention to demonstrate the use of econometric modeling in establishing financial justification for worksite health promotion.
Self-reported risk factors (n = 890) were analyzed using chi2 and t test methods. Changes in risk factors, demographics, and financial measures comprised the model inputs that determined medical and productivity savings.
Over 1 year, 7 of 10 health risks decreased. Of total projected savings ($311,755), 59% were attributed to reduced health care expenditures ($184,582) and 41% resulted from productivity improvements ($127,173), a $1.17 to $1.00 ROI.
Using an ROI model to project program savings is a practical way to provide financial justification for investment in worksite health promotion when risk reduction data are available.
某些可改变的风险因素会导致更高的医疗保健成本和工人生产率下降。将预测性投资回报率(ROI)模型应用于肥胖管理干预措施,以证明计量经济学模型在为工作场所健康促进确立财务合理性方面的应用。
使用卡方检验和t检验方法分析自我报告的风险因素(n = 890)。风险因素、人口统计学和财务指标的变化构成了确定医疗和生产率节省的模型输入。
在1年多的时间里,10项健康风险中的7项有所降低。在预计的总节省金额(311,755美元)中,59%归因于医疗保健支出的减少(184,582美元),41%来自生产率的提高(127,173美元),投资回报率为1.17比1.00。
当有风险降低数据可用时,使用投资回报率模型来预测项目节省是为工作场所健康促进投资提供财务合理性的一种实用方法。