Evidence map›Paper›PMID 22823180›Full record

ArticlePopulation health management2013

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

Hangsheng Liu, Katherine M Harris, Sarah Weinberger, Seth Serxner, Soeren Mattke, Ellen Exum

Abstract readComparative Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hangsheng LiuThe RAND Corporation, Boston, Massachusetts 02116, USA. hliu@rand.org
Katherine M Harris
Sarah Weinberger
Seth Serxner
Soeren Mattke
Ellen Exum

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Disease ManagementAdultFemaleHealth Benefit Plans, EmployeeHealth Care CostsHealth PlanningHealth PromotionHumansMaleMiddle AgedProgram EvaluationRetrospective StudiesYoung Adult

Identifiers

PMID22823180
PMCPMC3883086

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.