ArticlePopulation health management2013
Effect of an employer-sponsored health and wellness program on medical cost and utilization.
Article in Population health management, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Pharmacotherapy vs. minimally invasive therapies as initial therapy for moderate-to-severe benign prostatic hyperplasia: a cost-effectiveness study.Prostate cancer and prostatic diseases · 2023Article
- Pharmaceutical use according to participation in worksite wellness screening and health campaigns.Preventive medicine reports · 2018Article
- Racial/Ethnic Differences in the Use of Primary Care Providers and Preventive Health Services at a Midwestern University.Journal of racial and ethnic health disparities · 2016Article
- Medical cost analysis of a school district worksite wellness program.Preventive medicine reports · 2016Article
- A Scoping Review of Economic Evaluations of Workplace Wellness Programs.Public health reports (Washington, D.C. : 1974)Article
- Social Determinants of Health Challenges Are Prevalent Among Commercially Insured Populations.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. In its first year, the program was associated with a relative increase in per member per month (PMPM) cost ($66, P<0.01); a relative reduction in PMPM costs of $76 (P<0.01) and $61 (P<0.01) was seen in the second and third year, respectively. Over all 3 years, the program was associated with reduced PMPM costs of $38 (P<0.01), a decrease of 50 emergency room visits per 1000 member years (P<0.01), and a decrease of 16 hospital admissions per 1000 member years (P<0.01). The disease management component reduced PMPM costs by $154 (P<0.01), case management increased PMPM costs by $2795 (P<0.01), but no significant effects were observed for lifestyle management over the 3 intervention years. The implementation of a comprehensive health and wellness program was associated with a cost increase in the first year, followed by a decrease in the following years. These results highlight the importance of taking a long-term perspective when implementing such programs and evaluating their effectiveness.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.