Do workplace health promotion (wellness) programs work?

Objective: To respond to the question, "Do workplace health promotion programs work?"

Methods: A compilation of the evidence on workplace programs' effectiveness coupled with recommendations for critical review of outcome studies. Also, reviewed are recent studies questioning the value of workplace programs.

Results: Evidence accumulated over the past three decades shows that well-designed and well-executed programs that are founded on evidence-based principles can achieve positive health and financial outcomes.

Do workplace wellness programs reduce medical costs? Evidence from a Fortune 500 company.

The recent passage of the Affordable Care Act has heightened the importance of workplace wellness programs. This paper used administrative data from 2002 to 2007 for PepsiCo's self-insured plan members to evaluate the effect of its wellness program on medical costs and utilization. We used propensity score matching to identify a comparison group who were eligible for the program but did not participate.

Managing manifest diseases, but not health risks, saved PepsiCo money over seven years.

Workplace wellness programs are increasingly popular. Employers expect them to improve employee health and well-being, lower medical costs, increase productivity, and reduce absenteeism. To test whether such expectations are warranted, we evaluated the cost impact of the lifestyle and disease management components of PepsiCo's wellness program, Healthy Living.

Effect of an employer-sponsored health and wellness program on medical cost and utilization.

The objective of this study was to examine the impact of PepsiCo's health and wellness program on medical cost and utilization. The authors analyzed health plan and program data of employees and dependents 19-64 years of age, who had 2 years of baseline data (2002 and 2003) and at least 1 year of data from the intervention period (2004 to 2007), resulting in a sample of 55,030 members. Program effects were measured using a difference-in-difference approach based on a multivariate regression model with an individual-level random effect.