Employee Health and Well-being Clinical Trial
Official title:
Illinois Workplace Wellness Study
| Verified date | April 2020 |
| Source | National Bureau of Economic Research, Inc. |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
Workplace wellness programs have become a $6 billion industry and are widely touted as a way to improve employee well-being, reduce health care costs by promoting prevention, and increase workplace productivity. Yet, there is little rigorous evidence available to support these claims, partly because the voluntary nature of these programs means that participants may differ from nonparticipants for reasons unrelated to the causal effects of the wellness program. The investigators will implement a randomized control trial to identify the effects of incentives on wellness program participation, produce causal estimates of the effect of wellness programs on health outcomes, determine what kinds of employees benefit from wellness programs the most, and test for the presence of peer effects in wellness participation.
| Status | Active, not recruiting |
| Enrollment | 4834 |
| Est. completion date | December 2020 |
| Est. primary completion date | December 2020 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility |
Inclusion Criteria: - Benefits eligible employees at UIUC. Physically located on UIUC campus, not terminated, eligible for benefits. Exclusion Criteria: - Members of the research team, employees directly involved with the approval or implementation of the study, family members of the research team. |
| Country | Name | City | State |
|---|---|---|---|
| United States | University of Chicago | Chicago | Illinois |
| Lead Sponsor | Collaborator |
|---|---|
| National Bureau of Economic Research, Inc. | Abdul Latif Jameel Poverty Action Lab, National Institute on Aging (NIA), National Institutes of Health (NIH), Robert Wood Johnson Foundation, University of Chicago, University of Illinois at Urbana-Champaign, W.E. Upjohn Institute for Employment Research |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Wellness Program participation | Completion of biometric screening, HRA, wellness activities | First year of study | |
| Primary | Wellness Program participation | Completion of biometric screening, HRA, wellness activities | Second year of study | |
| Primary | Selection into treatment by baseline health spending | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Average monthly spending prior to the intervention is measured via administrative health claims data. | 13 months prior to study | |
| Primary | Selection into treatment by self-reported health | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Self-reported health is measured as excellent, good, average, or poor. | Baseline measure | |
| Primary | Selection into treatment by gender | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Gender is measured in administrative HR records. | Baseline measure | |
| Primary | Selection into treatment by Age | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Age is grouped into three categories: younger than 37, age 37 to 49, age 50 or higher. | Baseline measure | |
| Primary | Selection into treatment by race | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Race is measure via administrative HR records, as white or nonwhite. | Baseline measure | |
| Primary | Selection into treatment by salary quartile | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Salary, measured by administrative HR records, is coded into 1st, 2nd, 3rd, and 4th quartile. | Baseline measure | |
| Primary | Selection into treatment by self-reported health utilization | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Health care utilization is measured by survey, with yes/no variable for: ever having been screened, prescription drug use, physician/ER visit in prior year, hospital visit in the past year. | Baseline measure | |
| Primary | Selection into treatment by smoking status | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Smoking status is measured via survey, with yes/no variables for: current smoker of cigarettes, current smoker of other product, former smoker, never smoker. | Baseline measure | |
| Primary | Selection into treatment by chronic condition | The investigators will compare the average observable characteristics of participants, relative to treatment non-participants. Chronic condition is measured via baseline survey, and coded as a yes/no variable. | Baseline measure | |
| Primary | Health Insurance Spending | Spending as measured in health insurance claims data | 12 months and 24-30 months following study | |
| Primary | Employment and Productivity | Promotion, job termination, sick leave, attitude toward management, index of these variables | 12 months and 24-30 months following study | |
| Primary | Health Status and Behaviors | Marathon participation, gym visits, health screening | 12 months and 24-30 months following study | |
| Primary | Height | Biometric health measures collected one year after study. Height is measured in feet and inches. | 1 year following study, 2 years following study | |
| Primary | Weight | Biometric health measures collected one year after study. Weight is measured in pounds and ounces. | 1 year following study, 2 years following study | |
| Primary | Waist circumference | Biometric health measures collected one year after study. Circumference is measured in inches. | 1 year following study, 2 years following study | |
| Primary | Resting blood pressure | Biometric health measures collected one year after study. Blood pressure is measured in mm Hg. | 1 year following study, 2 years following study | |
| Primary | Blood glucose | Biometric health measures collected one year after study. Blood glucose is measured in mg/dL. | 1 year following study, 2 years following study | |
| Primary | Cholesterol levels | Biometric health measures collected one year after study. Cholesterol is measured mg/dL. We measure lipids: LDL, HDL, and triglycerides. | 1 year following study, 2 years following study |