Cited by 403Workplace Health and Well-beingHealthcare Policy and ManagementHealth Promotion and Cardiovascular Prevention

What do Workplace Wellness Programs do? Evidence from the Illinois Workplace Wellness Study*

Open access
Jones, Damon, Molitor, David, Reif, Julian·2019·The Quarterly Journal of Economics

Abstract

Workplace wellness programs cover over 50 million U.S. workers and are intended to reduce medical spending, increase productivity, and improve well-being. Yet limited evidence exists to support these claims. We designed and implemented a comprehensive workplace wellness program for a large employer and randomly assigned program eligibility and financial incentives at the individual level for nearly 5,000 employees. We find strong patterns of selection: during the year prior to the intervention, program participants had lower medical expenditures and healthier behaviors than nonparticipants. The program persistently increased health screening rates, but we do not find significant causal effects of treatment on total medical expenditures, other health behaviors, employee productivity, or self-reported health status after more than two years. Our 95% confidence intervals rule out 84% of previous estimates on medical spending and absenteeism.

Integrity signals

Registry

Crossref · 10.1093/qje/qjz023

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Illinois Workplace Wellness Study found a strong self-selection effect, with healthier employees more likely to participate.

    “The results revealed no impact on employee health outcomes, productivity or company medical spending, and there was a strong self-selection effect, with healthier employees more likely to participate.”

    From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Jones et al., 2019

  • The Illinois Workplace Wellness Study found no impact of a wellness program involving biometric health screening and online health risk assessment on employee health outcomes, productivity or company medical spending.

    “The results revealed no impact on employee health outcomes, productivity or company medical spending, and there was a strong self-selection effect, with healthier employees more likely to participate.”

    From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Jones et al., 2019

Cited by

Sorted by citations

Authors
Jones, D., Molitor, D., & Reif, J.
Affiliations
  • National Bureau of Economic Research (US)
  • University of Illinois Urbana-Champaign (US)
Venue
The Quarterly Journal of Economics
Published
2019-08-16
Volume
134
Issue
4
Pages
1747-1791
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2785242877
Cited by
403
References
3
Citations by year
2026: 27 · 2025: 61 · 2024: 61 · 2023: 62 · 2022: 49 · 2021: 56 · 2020: 52 · 2019: 28 · 2018: 6 · 2017: 1
FWCI
63.74
Type
journal article
Language
en
Open access
Locations
  • The Quarterly Journal of Economics (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Institutes of Health (R01AG050701)
  • National Science Foundation (1730546)
Topics
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Keywords
workplace health, employee health, health care costs, financial incentives, selection bias, health screening, health behavior, labor productivity, absenteeism, self-reported health, employer-sponsored health programs

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review